Dac-Nhuong Le

Scopus Publications

An integrated framework for outcome based education and AI supported blended learning in curriculum redesign and intelligent training management
Trung-Nghia Phung, Dinh-Cuong Do, Toan-Thang Nguyen, Van-Su Nguyen, The-Vinh Nguyen, Dac-Nhuong Le
Discover Computing, 2026
Higher education institutions worldwide face mounting pressure to implement outcome-based education (OBE) at scale while ensuring quality and accountability. Yet OBE often remains resource-intensive, and blended learning implementations frequently lack systematic outcome alignment. Meanwhile, artificial intelligence (AI) applications in education are usually isolated tools (e.g., auto-grading, chatbots) rather than integrated components of curriculum governance. This paper proposes an integrated OBE–AI enhanced blended learning framework, operationalized through the intelligent blended learning system (iBLS). The architecture consists of five layers: (1) OBE curriculum design, (2) granular outcome decomposition, (3) constructive alignment, (4) AI-enhanced blended learning, and (5) continuous quality improvement (CQI). Two AI subsystems are embedded: TutorAI, an assessment engine for question generation, auto-grading, and analytics dashboards; and BotAI, a RAG-based conversational engine providing student support through institutional knowledge retrieval. Both subsystems share a common AI/NLP technological core but are tailored to distinct educational functions. A case study at Thai Nguyen University of Information and Communication Technology, Vietnam (ICTU) implemented the framework across five courses with approximately 2,500 students. Evaluation combined baseline comparison and simulated scalability analysis. Results show that improved outcome transparency (78% of students reported clear weekly targets vs. 42% baseline), stronger alignment ratings (4.3/5 vs. 3.1/5), higher efficiency in assessment (25% reduction in grading workload, 82% item acceptance), enhanced student support (91% query coverage, 88% accuracy), and actionable CQI feedback with 14 course learning outcomes (CLOs) revisions, 12% program learning outcomes (PLOs) updates. Overall pass rates increased from approximately 60% to approximately 80%. The study demonstrates that AI can support the scalability and sustainability of OBE in resource-constrained contexts, bridging theoretical accreditation frameworks and practical implementation. Implications are drawn for institutions, policymakers, and system designers, with future research directions addressing scalability, AI robustness, human adoption, and ethical considerations.
DMA-D2-UNet: A Scalable Solution for Precise Semantic Segmentation
Journal of Information Science and Engineering, 2026
A Hybrid Deep Learning Approach for Real-Time Cheating Behaviour Detection in Online Exams Using Video Captured Analysis
Dao Phuc Minh Huy, Gia Nhu Nguyen, Dac-Nhuong Le
Computers Materials and Continua, 2026
Online examinations have become a dominant assessment mode, increasing concerns over academic integrity. To address the critical challenge of detecting cheating behaviours, this study proposes a hybrid deep learning approach that combines visual detection and temporal behaviour classification. The methodology utilises object detection models—You Only Look Once (YOLOv12), Faster Region-based Convolutional Neural Network (RCNN), and Single Shot Detector (SSD) MobileNet—integrated with classification models such as Convolutional Neural Networks (CNN), Bidirectional Gated Recurrent Unit (Bi-GRU), and CNN-LSTM (Long Short-Term Memory). Two distinct datasets were used: the Online Exam Proctoring (EOP) dataset from Michigan State University and the School of Computer Science, Duy Tan Unievrsity (SCS-DTU) dataset collected in a controlled classroom setting. A diverse set of cheating behaviours, including book usage, unauthorised interaction, internet access, and mobile phone use, was categorised. Comprehensive experiments evaluated the models based on accuracy, precision, recall, training time, inference speed, and memory usage. We evaluate nine detector–classifier pairings under a unified budget and score them via a calibrated harmonic mean of detection and classification accuracies, enabling deployment-oriented selection under latency and memory constraints. Macro-Precision/Recall/F1 and Receiver Operating Characteristic-Area Under the Curve (ROC-AUC) are reported for the top configurations, revealing consistent advantages of object-centric pipelines for fine-grained cheating cues. The highest overall score is achieved by YOLOv12 + CNN (97.15% accuracy), while SSD-MobileNet + CNN provides the best speed–efficiency trade-off for edge devices. This research provides valuable insights into selecting and deploying appropriate deep learning models for maintaining exam integrity under varying resource constraints.
Bioengineering and IoT: Shaping the Future of Healthcare
Jayashree Katti, Atul Kathole, Dac-Nhuong Le
Bioengineering and Iot Shaping the Future of Healthcare, 2026
A Comparative Analysis of Machine Learning Algorithms for Spam and Phishing URL Classification
Tran Minh Bao, Kumar Shashvat, Nguyen Gia Nhu, Dac-Nhuong Le
Computers Materials and Continua, 2026
The sudden growth of harmful web pages, including spam and phishing URLs, poses a greater threat to global cybersecurity than ever before. These URLs are commonly utilised to trick people into divulging confidential details or to stealthily deploy malware. To address this issue, we aimed to assess the efficiency of popular machine learning and neural network models in identifying such harmful links. To serve our research needs, we employed two different datasets: the PhiUSIIL dataset, which is specifically designed to address phishing URL detection, and another dataset developed to uncover spam links by examining the wording and structure of every URL. Our strategy was to train and evaluate four classification models, namely Random Forest, Support Vector Machine (SVM), Naive Bayes, and Artificial Neural Networks (ANN), under two different feature engineering approaches: statistical text-based analysis and heuristic-based structural features. The results are in, and they are stunning: Random Forest and ANN models were always the best. During our research, we achieved some outstanding results. On the PhiUSIIL phishing dataset, the model achieved an accuracy of 99.99%, and on the spam dataset, it attained an accuracy of 99.62%. Studies surpass any previously reported findings, firmly establishing the efficacy of machine learning and neural networks in detecting malicious URLs. Not only does this work reinforce the superiority of these in-demand models, but it also sets a high bar for subsequent research and development in the field. In general, this provides the direction for building smarter, faster, and more precise tools that can spot online threats as they develop.
AI-Based fault detection and predictive maintenance for power transmission networks in remote areas using catboost for enhanced reliability
Dac-Nhuong Le, Bakri Hossain Awaji, Osamah AlDhafer, Khalid Alkhattabi, Mohamed Ghouse, Elangovan Muniyandy
Intelligent Data Analysis, 2026
Power transmission network plays a crucial role in maintaining the stability and reliability of electrical systems. Fault detection and predictive maintenance are essential to ensure continuous operation and minimize downtimes, but traditional fault detection methods face challenges, particularly in remote areas where manual inspections are impractical. This paper presents a framework to enhance the steadiness and efficacy of power transmission networks through advanced fault detection and predictive maintenance. The proposed framework begins with data collection from power transmission sensors, including voltage, current, and temperature readings, along with historical fault records. Next, data pre-processing is performed using median imputation to handle missing values and categorical encoding to transform non-numeric data into numerical form. Feature extraction follows, where time-domain features like Peak-to-Peak Value, RMS, and Zero-Crossing Rate are computed to detect potential faults. The CatBoost model is then trained on the extracted features, and hyperparameter optimization is conducted using the Coati Optimization Algorithm. Once trained, the model performs fault detection and prediction, identifying faults such as Transformer Failures, Overheating, and Line Breakages. The model is assessed using metrics like accuracy of 99.42%, precision of 99.37%, recall of 99.40%, and F1-score of 99.38%. The framework achieves high performance in detecting faults and can be deployed in power transmission systems for proactive maintenance, reducing reliance on manual inspections, improving system reliability, and addressing challenges in remote locations.
A Deep Learning Framework with Learning without Forgetting for Intelligent Surveillance in IoT-enabled Home Environments in Smart Cities
Surjeet Dalal, Neeraj Dahiya, Amit Verma, Neetu Faujdar, Sarita Rathee, Vivek Jaglan, Uma Rani, Dac-Nhuong Le
Recent Advances in Computer Science and Communications, 2026
Background: Internet of Things (IoT) technology in smart urban homes has revolutionised sophisticated monitoring. This progress uses interconnected devices and systems to improve security, resource management, and resident safety. Smart cities use technology to improve efficiency, sustainability, and quality. Internet of Things-enabled intelligent monitoring technologies are key to this goal. Objectives: Intelligent monitoring in IoT-enabled homes in smart cities improves security, convenience, and quality of life from advanced technologies. Using live monitoring and risk identification tools to quickly discover and resolve security breaches and suspicious activity to protect citizens. Intelligent devices allow homeowners to remotely control lighting, security locks, and surveillance cameras. Using advanced technologies to regulate heating, cooling, and lighting based on occupancy and usage. Method: This study introduces a deep learning architecture that uses LwF (Learning without Forgetting) to keep patterns while absorbing new data. The authors use IoT devices to collect and analyse data in real-time for monitoring and surveillance. They use sophisticated data preprocessing to handle IoT devices' massive data. The authors train the deep learning model with historical and real-time data and cross-validation to ensure resilience. Result: The proposed model has been validated on two different Robloflow datasets of 7382 images. The proposed model gains an accuracy level of 98.27%. The proposed Yolo-LwF model outperforms both the original Yolo and LwF models in terms of detection speed and adaptive learning. Conclusion: By raising the bar for intelligent monitoring solutions in smart cities, the suggested system is ideal for real-time, adaptive surveillance in IoT-enabled households. By embracing adaptability and knowledge retention, authors envision heightened security and safety levels in urban settings.
Next-Generation Data-Driven Business 4.0 using the Internet of Things, Blockchain, and Interconnected Devices
Hemant Kumar Saini, Rupali A. Mahajan, Dac-Nhuong Le
Next Generation Data Driven Business 4 0 Using the Internet of Things Blockchain and Interconnected Devices, 2025
Optimized XGBoost Model with Whale Optimization Algorithm for Detecting Anomalies in Manufacturing
Surjeet Dalal, Uma Rani, Umesh Kumar Lilhore, Neeraj Dahiya, Reenu Batra, Nasratullah Nuristani, Dac-Nhuong Le
Journal of Computational and Cognitive Engineering, 2025
Anomalies and defects in the manufacturing process hinder operating efficiency and product quality. The Whale Optimization Algorithm (WOA) optimizes the XGBoost model for better anomaly identification by iteratively refining hyperparameters. Experiments using real-world manufacturing datasets prove proposed model works. Comparing the proposed model to traditional anomaly detection methods shows its superior performance in industry patent concept. The optimized XGBoost model's interpretability and anomaly detection features are also discussed. In this paper, WOA is applied in this work to optimize hyperparameters of XGBoost, a robust gradient boosting technique for accurate anomaly detection in manufacturing systems. Optimized XGBoost gained 1.00 precision value, 0.9 recall value, and 0.96 f1-score for class 0.0 and gained a 0.95 precision value, 1.00 recall value, and a 0.97 f1-score for class 1.0. The proposed model gained 0.993 Train Score and 0.964 Test Score. Our findings suggest that integrating XGBoost with the WOA may uncover manufacturing process irregularities. Optimization improves detection accuracy and provides a flexible and interpretable framework, helping modern industrial processes maintain quality and efficiency. This research encourages machine learning optimization for industrial patent applications, advancing anomaly detection methods. Received: 2 June 2024 | Revised: 29 August 2024 | Accepted: 27 September 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Surjeet Dalal: Conceptualization, Validation, Writing – original draft, Project administration. Uma Rani: Conceptualization, Formal analysis, Writing – review & editing. Umesh Kumar Lilhore: Methodology, Investigation, Resources, Writing – original draft. Neeraj Dahiya: Methodology, Data curation, Writing - review & editing. Reenu Batra: Software, Visualization, Supervision. Nasratullah Nuristani: Software, Formal analysis, Investigation, Visualization. Dac-Nhuong Le: Validation, Supervision, Project administration.
Optimized XGBoost Hyper-Parameter Tuned Model with Krill Herd Algorithm (KHA) for Accurate Drinking Water Quality Prediction
Nikhil Malik, Arpna Kalonia, Surjeet Dalal, Dac-Nhuong Le
SN Computer Science, 2025
Deep learning approaches for predicting cheating from student exam results: a comparative study under imbalanced data conditions
Dao Phuc Minh Huy, Nguyen Gia Nhu, Dac-Nhuong Le
Applied Computing and Informatics, 2025
A Combine Solution for Online Exams Cheating Detection, Prediction, and Prevention Using Artificial Intelligence
Dao Phuc Minh Huy, Nguyen Gia Nhu, Dac-Nhuong Le
Lecture Notes in Networks and Systems, 2025
Green Innovations in Computational Intelligence: Sustainable Strategies and Emerging Technologies
Green Innovations in Computational Intelligence Sustainable Strategies and Emerging Technologies, 2025
Preface
Green Innovations in Computational Intelligence Sustainable Strategies and Emerging Technologies, 2025
Applications of the Internet of Things and Data Science for Sustainable Development
Noor Zaman Jhanjhi, Mohit Gambhir, Brojo Kishore Mishra, Dac-Nhuong Le
Recent Advances in Computer Science and Communications, 2025
Recognition of Wh-Question Sign Gestures in Video Streams using an Attention Driven C3D-BiLSTM Network
Arnab Dey, Samit Biswas, Dac-Nhuong Le
Procedia Computer Science, 2024
Preface
Smart Sensors for Industry 4 0 Fundamentals Fabrication and Iiot Applications, 2024
CNN-FSPM-Based Fingerprint Indexing and Matching for Detecting, Predicting, and Preventing Cheating in Online Examinations
Dao Phuc Minh Huy, Nguyen Gia Nhu, Dac-Nhuong Le
International Journal of Knowledge and Systems Science, 2024
Preface
Applications of Blockchain and Artificial Intelligence in Finance and Governance, 2024
Foreword
Smart Sensors for Industry 4 0 Fundamentals Fabrication and Iiot Applications, 2024
Workout Action Recognition in Video Streams Using an Attention Driven Residual DC-GRU Network
Arnab Dey, Samit Biswas, Dac-Nhuong Le
Computers Materials and Continua, 2024
Analysis of Multi-Join Query Optimization Using ACO and Q-Learning
M. P.Karthikeyan, K. Krishnaveni, Dac-Nhuong Le
International Journal of Computing and Digital Systems, 2024
Applications of Blockchain and Artificial Intelligence in Finance and Governance
A M Viswa Bharathy, Dac-Nhuong Le, P. Karthikeyan
Applications of Blockchain and Artificial Intelligence in Finance and Governance, 2024
Smart Sensors for Industry 4.0: Fundamentals, Fabrication and IIoT Applications
Smart Sensors for Industry 4 0 Fundamentals Fabrication and Iiot Applications, 2024
The Need for XAI: Challenges and Its Applications
Swati, Menu Vijarania, Vivek Jaglan, Dac‐Nhuong Le
Reshaping Intelligent Business and Industry Convergence of AI and Iot at the Cutting Edge, 2024
Artificial intelligence in wireless communication
Hemang A. Thakar, Vidisha Pradhan, Dac-Nhuong Le, Pankaj Jain
Wireless Ad Hoc and Sensor Networks Architecture Protocols and Applications, 2024
Preface
Building Business Models with Machine Learning, 2024
MAPPING OF E-WALLETS WITH FEATURES
Alisha Sikri, Surjeet Dalal, N.P Singh, Dac‐Nhuong Le
Cyber Security in Parallel and Distributed Computing Concepts Techniques Applications and Case Studies, 2024
Machine Learning Approach for Predicting the Price of Used Cars
Swati, Meenu Vijarania, Akshat Agarwal, Dac‐Nhuong Le
Reshaping Intelligent Business and Industry Convergence of AI and Iot at the Cutting Edge, 2024
Building Business Models with Machine Learning
Le, Dac-Nhuong 1983-, Jain, Vishal 1983-, Gonzalez Garcia, Cristian 1985-, N., Ambika 1976-
Building Business Models with Machine Learning, 2024
Student Monitoring System Combining Facial Recognition and Identification Methods
Dao Phuc Minh Huy, Ho Thi Huong Thom, Nguyen Gia Nhu, Dac-Nhuong Le
Lecture Notes in Networks and Systems, 2024
Preface
Cyber Security in Parallel and Distributed Computing Concepts Techniques Applications and Case Studies, 2024
Preface
Surjeet Dalal, Neeraj Dahiya, Vivek Jaglan, Deepika Koundal, Dac-Nhuong Le
Reshaping Intelligent Business and Industry Convergence of AI and Iot at the Cutting Edge, 2024
Cyber Security in Parallel and Distributed Computing: Concepts, Techniques, Applications and Case Studies
Le Dac-Nhuong 1983-, Kumar, Raghvendra 1987-, Mishra, Brojo Kishore 1979-, Khari, Manju, Chatterjee, Jyotir Moy
Cyber Security in Parallel and Distributed Computing Concepts Techniques Applications and Case Studies, 2024
Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting Edge
Dalal, Surjeet, Dahiya, Neeraj, Jaglan, Vivek, Koundal, Deepika, Le Dac-Nhuong 1983-
Reshaping Intelligent Business and Industry Convergence of AI and Iot at the Cutting Edge, 2024
Foreword
Surjeet Dalal, Neeraj Dahiya, Vivek Jaglan, Deepika Koundal, Dac-Nhuong Le
Reshaping Intelligent Business and Industry Convergence of AI and Iot at the Cutting Edge, 2024
Technologies based on the IoT and Artificial and Natural Intelligence for Sustainable Agriculture
Data Driven Mathematical Modeling in Agriculture Tools and Technologies, 2024
Agriculture using Smart Sensors
Data Driven Mathematical Modeling in Agriculture Tools and Technologies, 2024
A framework for hybrid WBSN- VANET-based health monitoring systems
Pawan Singh, Ram Shringar Raw, Dac-Nhuong Le
Computational Intelligent Security in Wireless Communications, 2023
Recognition of Human Interactions in Still Images using AdaptiveDRNet with Multi-level Attention
Arnab Dey, Samit Biswas, Dac-Nhoung Le
International Journal of Advanced Computer Science and Applications, 2023
Smart Autonomous Breaking System for Vehicles to Improve Road Safety in India
Praveen Kumar Malik, Abdul Rahim, Dac-Nhuong Le
Lecture Notes in Networks and Systems, 2023
The State of CDNs Today and What AI-Assisted CDN Means for the Future
Evolving Networking Technologies Developments and Future Directions, 2023
Preface
Evolving Networking Technologies Developments and Future Directions, 2023
Data Communication and Information Exchange in Distributed IoT Environment: Issues and Their Solutions
Evolving Networking Technologies Developments and Future Directions, 2023
Foreword
Evolving Networking Technologies Developments and Future Directions, 2023
A Method of Integrating Length Constraints into Encoder-Decoder Transformer for Abstractive Text Summarization
Ngoc-Khuong Nguyen, Dac-Nhuong Le, Viet-Ha Nguyen, Anh-Cuong Le
Intelligent Automation and Soft Computing, 2023
An Overview of Healthcare Policy in India for Designing New Customised Health Services for the Patient
Akshaya Nidhi Bhati, Arun Kumar, Mehedi Masud, Dac-Nhuong Le
5g Based Smart Hospitals and Healthcare Systems Evaluation Integration and Deployment, 2023
Evolving Networking Technologies: Developments and Future Directions
Evolving Networking Technologies Developments and Future Directions, 2023
Preface
Fuzzy Logic Applications in Computer Science and Mathematics, 2023
A Deep Trash Classification Model on Raspberry Pi 4
Thien Khai Tran, Kha Tu Huynh, Dac-Nhuong Le, Muhammad Arif, Hoa Minh Dinh
Intelligent Automation and Soft Computing, 2023
Fuzzy Logic Applications in Computer Science and Mathematics
Fuzzy Logic Applications in Computer Science and Mathematics, 2023
Deep Learning Based Automated Chest X-ray Abnormalities Detection
Vraj Parikh, Jainil Shah, Chintan Bhatt, Juan M Corchado, Dac-Nhuong Le
Lecture Notes in Networks and Systems, 2023
A Comparative Analysis of Performances of Different Ensemble Approaches for Classification of Android Malwares
Abhishek Bhattacharya, Soumi Dutta, Mohammad Kamrul Hasan, Kusum Yadav, Dac-Nhuong Le, Pastor Arguelles
Lecture Notes in Networks and Systems, 2023
A Novel Design of Morlet Wavelet to Solve the Dynamics of Nervous Stomach Nonlinear Model
Zulqurnain Sabir, Muhammad Asif Zahoor Raja, S. R. Mahmoud, Mohammed Balubaid, Ali Algarni, Abdulaziz H. Alghtani, Ayman A. Aly, Dac-Nhuong Le
International Journal of Computational Intelligence Systems, 2022
Adaptive Neural Backstepping Control Approach for Tracker Design of Wheelchair Upper-Limb Exoskeleton Robot System
Ayman A. Aly, Kuo-Hsien Hsia, Fayez F. M. El-Sousy, Saleh Mobayen, Ahmed Alotaibi, Ghassan Mousa, Dac-Nhuong Le
Mathematics, 2022
Adaptive Neural Network-Based Fixed-Time Tracking Controller for Disabilities Exoskeleton Wheelchair Robotic System
Ayman A. Aly, Mai The Vu, Fayez F. M. El-Sousy, Kuo-Hsien Hsia, Ahmed Alotaibi, Ghassan Mousa, Dac-Nhuong Le, Saleh Mobayen
Mathematics, 2022
Towards aspect based requirements mining for trace retrieval of component-based software management process in globally distributed environment
Sadia Ali, Yaser Hafeez, Mamoona Humayun, N. Z. Jhanjhi, Dac-Nhuong Le
Information Technology and Management, 2022
Multi-Criteria Service Selection Agent for Federated Cloud
S. Sudhakar, B. L. Radhakrishnan, P. Karthikeyan, K. Martin Sagayam, Dac-Nhuong Le
Journal of Communications Software and Systems, 2022
Fuzzy-Based Fixed-Time Nonsingular Tracker of Exoskeleton Robots for Disabilities Using Sliding Mode State Observer
Ayman A. Aly, Mai The Vu, Fayez F. M. El-Sousy, Ahmed Alotaibi, Ghassan Mousa, Dac-Nhuong Le, Saleh Mobayen
Mathematics, 2022
A neuro-swarming intelligent heuristic for second-order nonlinear Lane–Emden multi-pantograph delay differential system
Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Dac-Nhuong Le, Ayman A. Aly
Complex and Intelligent Systems, 2022
An adaptive traffic routing approach toward load balancing and congestion control in Cloud–MANET ad hoc networks
Surjeet Dalal, Bijeta Seth, Vivek Jaglan, Meenakshi Malik, Surbhi, Neeraj Dahiya, Uma Rani, Dac-Nhuong Le, Yu-Chen Hu
Soft Computing, 2022
Integrating encryption techniques for secure data storage in the cloud
Bijeta Seth, Surjeet Dalal, Vivek Jaglan, Dac‐Nhuong Le, Senthilkumar Mohan, Gautam Srivastava
Transactions on Emerging Telecommunications Technologies, 2022
LoRa based intelligent soil and weather condition monitoring with internet of things for precision agriculture in smart cities
Dushyant Kumar Singh, Rajeev Sobti, Anuj Jain, Praveen Kumar Malik, Dac‐Nhuong Le
Iet Communications, 2022
Evolving Software Processes: Trends and Future Directions
Evolving Software Processes Trends and Future Directions, 2022
Preface
Evolving Software Processes Trends and Future Directions, 2022
Defects Maintainability Prediction of the Software
Kanta Prasad Sharma, Vinesh Kumar, Dac-Nhuong Le
Eai Springer Innovations in Communication and Computing, 2022
A Novel Compact Frequency and Polarization Reconfigurable Slot Antenna Using PIN Diodes for Cognitive Radio Applications
V. N. Lakshmana Kumar, M. Satyanarayana, Sohanpal Singh, Dac-Nhuong Le
Eai Springer Innovations in Communication and Computing, 2022
Deriving driver behavioral pattern analysis and performance using neural network approaches
Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Vivek Jalglan, Dac-Nhuong Le
Intelligent Automation and Soft Computing, 2022
RETRACTION:An efficient driver behavioral pattern analysis based on fuzzy logical feature selection and classification in big data analysis
Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Ujjawal Maan, Dac-Nhuong Le
Journal of Intelligent and Fuzzy Systems, 2022
Plant Disease Identification Based on Leaf Images Using Deep Learning
Hardev Mukeshbhai Khandhar, Chintan Bhatt, Dac-Nhuong Le, Harshil Sharaf, Wathiq Mansoor
Lecture Notes in Electrical Engineering, 2022
Modeling and Simulation of Two Axes Gimbal Using Fuzzy Control
Ayman A. Aly, Mohamed O. Elhabib, Bassem F. Felemban, B. Saleh, Dac-Nhuong Le
Computers Materials and Continua, 2022
Adaptive Scheduling Algorithm Based Task Loading in Cloud Data Centers
Dibyendu Mukherjee, Shivnath Ghosh, Souvik Pal, Ayman A. Aly, Dac-Nhuong Le
IEEE Access, 2022
Hybrid Microarray Gene Data Classification Based on GA-ACO Optimization
N. Karunya, V. A. Kanimozhi, N. Muthumani, M. P. Karthikeyan, Dac-Nhuong Le
Lecture Notes in Electrical Engineering, 2022
A Comparative Analysis of Machine Learning Models for Banking News Extraction by Multiclass Classification With Imbalanced Datasets of Financial News: Challenges and Solutions
Varun Dogra, Sahil Verma, Kavita Verma, NZ Jhanjhi, Uttam Ghosh, Dac-Nhuong Le
International Journal of Interactive Multimedia and Artificial Intelligence, 2022
W-GeoR: Weighted Geographical Routing for VANET's Health Monitoring Applications in Urban Traffic Networks
Pawan Singh, Ram Shringar Raw, Suhel Ahmad Khan, Mazin Abed Mohammed, Ayman A. Aly, Dac-Nhuong Le
IEEE Access, 2022
Enhanced Marathi Speech Recognition Facilitated by Grasshopper Optimisation-Based Recurrent Neural Network
Ravindra Parshuram Bachate, Ashok Sharma, Amar Singh, Ayman A. Aly, Abdulaziz H. Alghtani, Dac-Nhuong Le
Computer Systems Science and Engineering, 2022
Dynamic Data Optimization in IoT-Assisted Sensor Networks on Cloud Platform
Nguyen A. Tuan, D. Akila, Souvik Pal, Bikramjit Sarkar, Thien Khai Tran, G. Mothilal Nehru, Dac-Nhuong Le
Computers Materials and Continua, 2022
An Intelligent Prediction Model for Target Protein Identification in Hepatic Carcinoma Using Novel Graph Theory and ANN Model
G. Naveen Sundar, Stalin Selvaraj, D. Narmadha, K. Martin Sagayam, A. Amir Anton Jone, Ayman A. Aly, Dac-Nhuong Le
CMES Computer Modeling in Engineering and Sciences, 2022
A comprehensive study on the role of advanced technologies in 5G based smart hospital
Arun Kumar, R. Dhanagopal, Mahmoud A. Albreem, Dac-Nhuong Le
Alexandria Engineering Journal, 2021
IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
Dac-Nhuong Le, Velmurugan Subbiah Parvathy, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues, K. Shankar
International Journal of Machine Learning and Cybernetics, 2021
Integrated intelligence of neuro-evolution with sequential quadratic programming for second-order Lane–Emden pantograph models
Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Hafiz Abdul Wahab, Gilder Cieza Altamirano, Yu-Dong Zhang, Dac-Nhuong Le
Mathematics and Computers in Simulation, 2021
Capitalizing on big data and revolutionary 5G technology: Extracting and visualizing ratings and reviews of global chain hotels
Loveleen Gaur, Anam Afaq, Arun Solanki, Gurmeet Singh, Shavneet Sharma, N.Z. Jhanjhi, Hoang Thi My, Dac-Nhuong Le
Computers and Electrical Engineering, 2021
The impact of the covid-19 pandemic on college students: An online survey
Thien Khai Tran, Hoa Dinh, Hien Nguyen, Dac-Nhuong Le, Dong-Ky Nguyen, An C. Tran, Viet Nguyen-Hoang, Ha Nguyen Thi Thu, Dinh Hung, Suong Tieu, Canh Khuu, Tuan A. Nguyen
Sustainability Switzerland, 2021
Nanoscale heat and mass transport of magnetized 3-D chemically radiative hybrid nanofluid with orthogonal/inclined magnetic field along rotating sheet
Assad Ayub, Zulqurnain Sabir, Dac-Nhuong Le, Ayman A. Aly
Case Studies in Thermal Engineering, 2021
Cloud computing solutions: Architecture, data storage, implementation and security
Cloud Computing Solutions Architecture Data Storage Implementation and Security, 2021
Computational intelligent paradigms to solve the nonlinear sir system for spreading infection and treatment using levenberg–marquardt backpropagation
Muhammad Umar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Manoj Gupta, Dac-Nhuong Le, Ayman A. Aly, Yolanda Guerrero-Sánchez
Symmetry, 2021
Rock Hyraxes Swarm Optimization: A New Nature-Inspired Metaheuristic Optimization Algorithm
Belal Al-Khateeb, Kawther Ahmed, Maha Mahmood, Dac-Nhuong Le
Computers Materials and Continua, 2021
Cyber Security and Digital Forensics
Ghonge, Mangesh 1984-, Pramanik, Sabyasachi 1978-, Mangrulkar, Ramchandra Sharad, Le Dac-Nhuong 1983-
Cyber Security and Digital Forensics, 2021
Preface
Cyber Security and Digital Forensics, 2021
Pts-papr reduction technique for 5g advanced waveforms using bfo algorithm
Arun Kumar, Manoj Gupta, Dac-Nhuong Le, Ayman A. Aly
Intelligent Automation and Soft Computing, 2021
Detecting lumbar implant and diagnosing scoliosis from vietnamese x-ray imaging using the pre-trained api models and transfer learning
Chung Le Van, Le Nguyen Bao, Vikram Puri, Nguyen Thanh Thao, Dac-Nhuong Le
Computers Materials and Continua, 2021
The red colobuses monkey: A new nature–inspired metaheuristic optimization algorithm
Wijdan Jaber AL-kubaisy, Mohammed Yousif, Belal Al-Khateeb, Maha Mahmood, Dac-Nhuong Le
International Journal of Computational Intelligence Systems, 2021
Driving pattern profiling and classification using deep learning
Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Vivek Jalglan, Dac-Nhuong Le
Intelligent Automation and Soft Computing, 2021
Securing technique using pattern-based LSB audio steganography and intensity-based visual cryptography
Pranati Rakshit, Sreeparna Ganguly, Souvik Pal, Dac-Nhuong Le
Computers Materials and Continua, 2021
Synchronization phenomena investigation of a new nonlinear dynamical system 4D by gardano’s and lyapunov’s methods
Abdulsattar Abdullah Hamad, Ahmed S. Al-Obeidi, Enas H. Al-Taiy, Osamah Ibrahim Khalaf, Dac-Nhuong Le
Computers Materials and Continua, 2021
MMAS Algorithm and Nash Equilibrium to Solve Multi-round Procurement Problem
Dac-Nhuong Le, Gia Nhu Nguyen, Trinh Ngoc Bao, Nguyen Ngoc Tuan, Huynh Quyet Thang, Suresh Chandra Satapathy
Lecture Notes in Electrical Engineering, 2021
Design and development of collaborative ar system for anatomy training
Chung Le Van, Trinh Hiep Hoa, Nguyen Minh Duc, Vikram Puri, Tung Sanh Nguyen, Dac-Nhuong Le
Intelligent Automation and Soft Computing, 2021
Optimizing bidders selection of multi-round procurement problem in software project management using parallel max-min ant system algorithm
Dac-Nhuong Le, Gia Nhu Nguyen, Harish Garg, Quyet-Thang Huynh, Trinh Ngoc Bao, Nguyen Ngoc Tuan
Computers Materials and Continua, 2021
Deep learning based optimal multimodal fusion framework for intrusion detection systems for healthcare data
Phong Thanh Nguyen, Vy Dang Bich Huynh, Khoa Dang Vo, Phuong Thanh Phan, Mohamed Elhoseny, Dac-Nhuong Le
Computers Materials and Continua, 2021
IoT Technology Enabled Heuristic Model with Morlet Wavelet Neural Network for Numerical Treatment of Heterogeneous Mosquito Release Ecosystem
Zulqurnain Sabir, Kashif Nisar, Muhammad Asif Zahoor Raja, Muhammad Reazul Haque, Muhammad Umar, Ag Asri Ag Ibrahim, Dac-Nhuong Le
IEEE Access, 2021
Neuro-Swarm heuristic using interior-point algorithm to solve a third kind of multi-singular nonlinear system
Zulqurnain Sabir, , Muhammad Asif Zahoor Raja, Aldawoud Kamal, Juan L.G. Guirao, Dac-Nhuong Le, Tareq Saeed, Mohamad Salama, , , , , , and
Mathematical Biosciences and Engineering, 2021
Memetic optimization with cryptographic encryption for secure medical data transmission in iot-based distributed systems
Srinath Doss, Jothi Paranthaman, Suseendran Gopalakrishnan, Akila Duraisamy, Souvik Pal, Balaganesh Duraisamy, Chung Le Van, *, Dac-Nhuong Le
Computers Materials and Continua, 2021
COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in Chest X-ray Images
A. S. Al-Waisy, Mazin Abed Mohammed, Shumoos Al-Fahdawi, M. S. Maashi, Begonya Garcia-Zapirain, Karrar Hameed Abdulkareem, S. A. Mostafa, Nallapaneni Manoj Kumar, Dac-Nhuong Le
Computers Materials and Continua, 2021
A comprehensive investigation of machine learning feature extraction and classification methods for automated diagnosis of COVID-19 based on X-ray images
Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Begonya Garcia-Zapirain, Salama A. Mostafa, Mashael S. Maashi, Alaa S. Al-Waisy, Mohammed Ahmed Subhi, Ammar Awad Mutlag, Dac-Nhuong Le
Computers Materials and Continua, 2021
Secure cloud data storage system using hybrid paillier⇓blowfish algorithm
Bijeta Seth, Surjeet Dalal, Dac-Nhuong Le, Vivek Jaglan, Neeraj Dahiya, Akshat Agrawal, Mayank Mohan Sharma, Deo Prakash, K. D. Verma
Computers Materials and Continua, 2021
An effective RGB color selection for complex 3D object structure in scene graph systems
Chung Le Van, Gia Nhu Nguyen, Tri Huu Nguyen, Tung Sanh Nguyen, Dac-Nhuong Le
International Journal of Electrical and Computer Engineering, 2020
Global Forecasting Confirmed and Fatal Cases of COVID-19 Outbreak Using Autoregressive Integrated Moving Average Model
Debabrata Dansana, Raghvendra Kumar, Janmejoy Das Adhikari, Mans Mohapatra, Rohit Sharma, Ishaani Priyadarshini, Dac-Nhuong Le
Frontiers in Public Health, 2020
Preface
Emerging Extended Reality Technologies for Industry 4 0 Early Experiences with Conception Design Implementation Evaluation and Deployment, 2020
Preface
Cryptocurrencies and Blockchain Technology Applications, 2020
Emerging Extended Reality Technologies For Industry 4.0: Early Experiences with Conception, Design, Implementation, Evaluation and Deployment
Jolanda G. Tromp, Dac‐Nhuong Le, Chung Le
Emerging Extended Reality Technologies for Industry 4 0 Early Experiences with Conception Design Implementation Evaluation and Deployment, 2020
Cryptocurrencies and Blockchain Technology Applications
Shrivastava, Gulshan 1987-, Le Dac-Nhuong 1983-, Sharma, Kavita
Cryptocurrencies and Blockchain Technology Applications, 2020
Preface
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks, 2020
Map matching algorithm: Real time location tracking for smart security application
S. K. Prasad, J. Rachna, O. I. Khalaf, D.-N. Le
Telecommunications and Radio Engineering English Translation of Elektrosvyaz and Radiotekhnika, 2020
Preface
Ontology Based Information Retrieval for Healthcare Systems, 2020
Ontology-Based Information Retrieval for Healthcare Systems
Ontology Based Information Retrieval for Healthcare Systems, 2020
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks, 2020
A novel particle swarm optimization approach to support decision-making in the multi-round of an auction by game theory
Trinh Ngoc Bao, Quyet-Thang Huynh, Xuan-Thang Nguyen, Gia Nhu Nguyen, Dac-Nhuong Le
International Journal of Computational Intelligence Systems, 2020
Preface
Advances in Intelligent Systems and Computing, 2020
Preface
Advances in Intelligent Systems and Computing, 2020
GUI-Based Percentage Analysis for Curing Breast Cancer Survivors
Deblina Sarkhel, Dhanashree Deka, Debabrata Samanta, M. V. Kumudavalli, Dac-Nhuong Le
Advances in Intelligent Systems and Computing, 2020
Applying 3D Virtual Reality Technology For Human Body Simulation To Teaching, Learning and Studying Activities
Chung Le Van, Gia Nhu Nguyen, Tung Sanh Nguyen, Tri Huu Nguyen, Dac‐Nhuong Le
Emerging Extended Reality Technologies for Industry 4 0 Early Experiences with Conception Design Implementation Evaluation and Deployment, 2020
Efficient dual-cooperative bait detection scheme for collaborative attackers on mobile ad-hoc networks
Osamah Ibrahim Khalaf, F. Ajesh, Abdulsattar Abdullah Hamad, Gia Nhu Nguyen, Dac-Nhuong Le
IEEE Access, 2020
Open Stack: Resources Allocation for Distributed Virtual Machine Peer to Peer
Hong Minh Nguyen, Thang Van Doan, Dac-Nhuong Le, Ha Huy Cuong Nguyen, Xuan Huy Nguyen
Advances in Intelligent Systems and Computing, 2020
Network Modeling, Simulation and Analysis in MATLAB: Theory and Practices
Dac‐Nhuong Le, Abhishek Kumar Pandey, Sairam Tadepalli, Pramod Singh Rathore, Jyotir Moy Chatterjee
Network Modeling Simulation and Analysis in Matlab Theory and Practices, 2019
Implementation of rest architecure-based energy-efficient home automation system
Shankey Garg, Jyotir Moy Chatterjee, Dac‐Nhuong Le
Security Designs for the Cloud Iot and Social Networking, 2019
Security designs for the cloud, iot, and social networking
Security Designs for the Cloud Iot and Social Networking, 2019
Comprehensive analysis of routing protocols surrounding underwater sensor networks (UWSNs)
Anand Nayyar, Vikram Puri, Dac-Nhuong Le
Advances in Intelligent Systems and Computing, 2019
The role of information-centric security in the modern arena of information technology
Sushree Bibhuprada, Dac‐Nhuong Le, B. Priyadarshini
Security Designs for the Cloud Iot and Social Networking, 2019
Space-time code design using quaternions, octonions and other non-associative structures
Garima Srivastava, Rashmi Gupta, Raghvendra Kumar, Dac-Nhuong Le
International Journal of Electrical and Computer Engineering Systems, 2019
Fog computing and its security issues
Jyotir Moy Chatterjee, Ishaani Priyadarshini, Shankeys, Dac‐Nhuong Le
Security Designs for the Cloud Iot and Social Networking, 2019
BioSenHealth 2.0-a low-cost, energy-efficient internet of things-based blood glucose monitoring system
Vikram Puri, Raghvendra Kumar, Dac Nhuong Le, Sandeep Singh Jagdev, Nidhi Sachdeva
Emergence of Pharmaceutical Industry Growth with Industrial Iot Approach, 2019
The vital role of fog computing in internet of things
Vikram Puri, Jolanda G Tromp, Chung Van Le, Nhu Gia Nguyen, Dac‐Nhuong Le
Security Designs for the Cloud Iot and Social Networking, 2019
A hybrid approach of secret sharing with fragmentation and encryption in cloud environment for securing outsourced medical database: A revolutionary approach
Dac-Nhuong Le, Bijeta Seth, Surjeet Dalal, , , and
Journal of Cyber Security and Mobility, 2018
Light microscopy image de-noising using optimized LPA-ICI filter
Amira S. Ashour, Samsad Beagum, Nilanjan Dey, Ahmed S. Ashour, Dimitra Sifaki Pistolla, Gia Nhu Nguyen, Dac-Nhuong Le, Fuqian Shi
Neural Computing and Applications, 2018
Admission control algorithm based on the effective bandwidth in vehicle-toinfrastructure communication
Mousumi Paul, Goutam Sanyal, Debabrata Samanta, Gia Nhu Nguyen, Dac-Nhuong Le
Iet Communications, 2018
Cloud Computing and Virtualization
Dac-Nhuong Le, Raghvendra Kumar, Gia Nhu Nguyen, Jyotir Moy Chatterjee
Cloud Computing and Virtualization, 2018
Acknowledgments
Emerging Technologies for Health and Medicine Virtual Reality Augmented Reality Artificial Intelligence Internet of Things Robotics Industry 4 0, 2018
Massively Multi-user Online Social Virtual Reality Systems: Ethical Issues and Risks for Long-Term Use
Jolanda Tromp, Chung Le, Bao Le, Dac-Nhuong Le
Social Networks Science Design Implementation Security and Challenges from Social Networks Analysis to Social Networks Intelligence, 2018
Virtual Reality (VR) & Augmented Reality (AR) technologies for tourism and hospitality industry
Anand Nayyar, Bandana Mahapatra, Dac Nhuong Le, G Suseendran
International Journal of Engineering and Technology Uae, 2018
Communication in internet of things
Vivek Hareshbhai Puar, Chintan M. Bhatt, Duong Minh Hoang, Dac-Nhuong Le
Advances in Intelligent Systems and Computing, 2018
Emerging technologies for health and medicine virtual reality, augmented reality, Artifi Cial intelligence, internet of Th Ings, robotics, industry 4.0
Emerging Technologies for Health and Medicine Virtual Reality Augmented Reality Artificial Intelligence Internet of Things Robotics Industry 4 0, 2018
Smart surveillance robot for real-time monitoring and control system in environment and industrial applications
Anand Nayyar, Vikram Puri, Nhu Gia Nguyen, Dac Nhuong Le
Advances in Intelligent Systems and Computing, 2018
Preface
Advances in Intelligent Systems and Computing, 2018
Map Matching Algorithm: Trajectory and Sequential Map Analysis on Road Network
Kanta Prasad Sharma, Ramesh C. Poonia, Raghvendra Kumar, Surendra Sunda, Dac-Nhuong Le
Eai Endorsed Transactions on Industrial Networks and Intelligent Systems, 2018
The relation of curiosity and creative use of IT
Nhu-Hang Ha, Yao Chin Lin, Nhan-Van Vo, Dac-Nhuong Le, Kuo-Sung Lin
Advances in Intelligent Systems and Computing, 2018
Haralick features-based classification of mammograms using SVM
Vikrant Bhateja, Aman Gautam, Ananya Tiwari, Le Nguyen Bao, Suresh Chandra Satapathy, Nguyen Gia Nhu, Dac-Nhuong Le
Advances in Intelligent Systems and Computing, 2018
Baseline correction in EMG signals using mathematical morphology and canonical correlation analysis
Vikrant Bhateja, Ashita Srivastava, Deepak Kumar Tiwari, Deeksha Anand, Suresh Chandra Satapathy, Nguyen Gia Nhu, Dac-Nhuong Le
Advances in Intelligent Systems and Computing, 2018
MMAS algorithm for features selection using 1D-DWT for video-based face recognition in the online video contextual advertisement user-oriented system
Le Nguyen Bao, Dac-Nhuong Le, Gia Nhu Nguyen, Le Van Chung, Nilanjan Dey
Journal of Global Information Management, 2017
Structural failure classification for reinforced concrete buildings using trained neural network based multi-objective genetic algorithm
Sankhadeep Chatterjee, Sarbartha Sarkar, Sirshendu Hore, Nilanjan Dey, Amira S. Ashour, et al.
Structural Engineering and Mechanics, 2017
Optimizing feature selection in video-based recognition using Max–Min Ant System for the online video contextual advertisement user-oriented system
Le Nguyen Bao, Dac-Nhuong Le, Gia Nhu Nguyen, Vikrant Bhateja, Suresh Chandra Satapathy
Journal of Computational Science, 2017
A parallel max-min ant system algorithm for dynamic resource allocation to support QoS requirements
Dac-Nhuong Le, Vikrant Bhateja, Gia Nhu Nguyen
2017 4th IEEE Uttar Pradesh Section International Conference on Electrical Computer and Electronics Upcon 2017, 2017
A new ant algorithm for optimal service selection with end-to-end QoS constraints
Dac‐Nhuong Le
Journal of Internet Technology, 2017
Biological data mining: Techniques and applications
Wahiba Ben Abdessalem Karaa, Nilanjan Dey
Mining Multimedia Documents, 2017
An aggregation approach based on elasticsearch
Journal of Engineering and Applied Sciences, 2017
Multispectral medical image fusion in Contourlet domain for computer based diagnosis of Alzheimer's disease
Vikrant Bhateja, Aisha Moin, Anuja Srivastava, Le Nguyen Bao, Aimé Lay-Ekuakille, Dac-Nhuong Le
Review of Scientific Instruments, 2016
Healthy and unhealthy rat hippocampus cells classification: A neural based automated system for Alzheimer disease classification
Nilanjan Dey, Amira S. Ashour, Sayan Chakraborty, Sourav Samanta, Dimitra Sifaki-Pistolla, Ahmed S. Ashour, Dac-Nhuong Le, Gia Nhu Nguyen
Journal of Advanced Microscopy Research, 2016
A new private security policy approach for ddos attack defense in ngns
Dac-Nhuong Le, Vo Nhan Van, Trinh Thi Thuy Giang
Advances in Intelligent Systems and Computing, 2016
Performance analysis of network virtualization in cloud computing infrastructures on OpenStack
Vo Nhan Van, Le Minh Chi, Nguyen Quoc Long, Dac-Nhuong Le
Advances in Intelligent Systems and Computing, 2016
Optimizing selection of PZMI features based on MMAS algorithm for face recognition of the online video contextual advertisement user-oriented system
Bao Nguyen Le, Dac-Nhuong Le, Gia Nhu Nguyen, Do Nang Toan
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2016
Performance evaluation of video-based face recognition approaches for online video contextual advertisement user-oriented system
Le Nguyen Bao, Dac-Nhuong Le, Le Van Chung, Gia Nhu Nguyen
Advances in Intelligent Systems and Computing, 2016
An optimized anisotropic diffusion approach for despeckling of SAR images
Vikrant Bhateja, Aditi Sharma, Abhishek Tripathi, Suresh Chandra Satapathy, Dac-Nhuong Le
Communications in Computer and Information Science, 2016
A performance analysis of openstack open-source solution for IaaS cloud computing
Vo Nhan Van, Le Minh Chi, Nguyen Quoc Long, Gia Nhu Nguyen, Dac-Nhuong Le
Advances in Intelligent Systems and Computing, 2016
An integrated interactive technique for image segmentation using stack based seeded region growing and thresholding
Sirshendu Hore, Souvik Chakraborty, Sankhadeep Chatterjee, Nilanjan Dey, Amira S. Ashour, Le Van Chung, Dac-Nhuong Le
International Journal of Electrical and Computer Engineering, 2016
Ant Colony Optimization based anisotropic diffusion approach for despeckling of SAR images
Vikrant Bhateja, Abhishek Tripathi, Aditi Sharma, Bao Nguyen Le, Suresh Chandra Satapathy, Gia Nhu Nguyen, Dac-Nhuong Le
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2016
Evaluation of pheromone update in Min-Max Ant System algorithm to optimizing QoS for multimedia services in NGNs
Dac-Nhuong Le
Advances in Intelligent Systems and Computing, 2015
Performance evaluation of heuristic algorithms for optimal location of controllers in wireless networks
Dac-Nhuong Le
Advances in Intelligent Systems and Computing, 2015
Applied MMAS algorithm to optimal resource allocation to support QOS requirements in NGNs
Dac-Nhuong Le
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2015
A new ant-based approach for optimal service selection with E2E QoS constraints
Dac-Nhuong Le, Gia Nhu Nguyen
Communications in Computer and Information Science, 2015
A new technical solution for resource allocation in heterogeneous distributed platforms
Nguyen Ha Huy Cuong, Le Dac-Nhuong, Le Van Son, Thuy Nguyen Thanh
Frontiers in Artificial Intelligence and Applications, 2015
Detecting phishing web pages based on DOM-tree structure and graph matching algorithm
Le Dang Nguyen, Dac-Nhuong Le, Le Trong Vinh
ACM International Conference Proceeding Series, 2014
Correction of inconsistent systems of linear inequalities with block matrices by minimax criterion
N. D. Le
Moscow University Computational Mathematics and Cybernetics, 2011
Novel mechanism of rapamycin in GVHD: Increase in interstitial regulatory T cells
J M Palmer, B J Chen, D DeOliveira, N-D Le, N J Chao
Bone Marrow Transplantation, 2010

Dac-Nhuong Le

RESEARCH, TEACHING, or OTHER INTERESTS

FUTURE PROJECTS

Scopus Publications

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Dac-Nhuong Le

RESEARCH, TEACHING, or OTHER INTERESTS

FUTURE PROJECTS

Research on developing a search system (HPUMind) to support teaching and learning in Information Technology, integrated circuit design, and semiconductors at Hai Phong University (ĐT.XH.2025.980).

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS