Dr. Mohammed Saleh Al Ansari

Scopus Publications

MITIGATING MODE COLLAPSE TO IMPROVE DIVERSITY IN TEXT-TO-IMAGE GAN OUTPUTS: STRATEGIES IN ARCHITECTURAL DESIGN, TRAINING METHODOLOGIES, AND EVALUATION TECHNIQUES
SUBUHI KASHIF ANSARI, MANAL AL KHAMMASH, ANJALI APPUKUTTAN, ANNE ANOOP, SANDEEP KUMAR MATHARIYA, SHEELA D V, MOHAMMED SALEH AL ANSARI
Journal of Theoretical and Applied Information Technology, 2026
Text-to-image generation using Generative Adversarial Networks (GANs) has advanced significantly in recent years. This enables image synthesis from textual descriptions. However, mode collapse remains a critical challenge that limits output diversity. This systematic review analyzes strategies to mitigate mode collapse in text-to-image GANs. It examins architectural designs, training methodologies, latent-space techniques, and evaluation metrics. The review covers 45 studies published between 2015 and 2025, categorized into: architectural innovations (18 papers), training-based strategies (12 papers), latent-space and loss function methods (10 papers), and evaluation-centric approaches (5 papers). Findings show that attention-based models, multi-scale architectures, and semantic-spatial models enhance semantic alignment and diversity, with specific limitations. Training-based approaches, including curriculum learning, adaptive training, gradient penalties, and progressive growing of GANs, help stabilize training and mitigate collapse. Latent-space techniques, such as mode-seeking losses, contrastive losses, and noise manipulation, promote output diversity. However, evaluation metrics like Fréchet Inception Distance (FID), Inception Score (IS), Learned Perceptual Image Patch Similarity (LPIPS), and Multi-Scale Structural Similarity Index (MS-SSIM) show limitations in capturing semantic diversity. Progress in mitigating mode collapse depends on combined architectural design, training stability, and loss-function engineering. Future priorities include developing unified benchmarks for evaluating semantic diversity, exploring hybrid architectures, and designing adaptive training protocols to enable more robust text-to-image models generating diverse, semantically coherent outputs.
Neural network technologies and brain-computer interfaces: Innovations and applications
Neural Network Technologies and Brain Computer Interfaces Innovations and Applications, 2025
Cloud Computing Visualization for Resources Allocation in Distribution Systems
Chinmaya Dash, Mohammed Saleh Al Ansari, Chamandeep Kaur, Yousef A. Baker El-Ebiary, Yousef Methkal Abd Algani, B. Kiran Bala
Aip Conference Proceedings, 2025
Artificial Intelligence and Machine Learning Driven Framework for Investigating the Usefulness of Physiological Indicators for User Trust in Forecasting Decision Making
Sanjeev Kumar Thalari, Afsana Anjum, Mohammed Saleh Al Ansari, R. Manikandan, S. Prema, S. Anuradha, A. Balakumar
Aip Conference Proceedings, 2025
Implementation of cloud based IoT technology in manufacturing industry for smart control of manufacturing process
Sohail Imran Khan, Chamandeep Kaur, Mohammed Saleh Al Ansari, Iskandar Muda, Ricardo Fernando Cosio Borda, B. Kiran Bala
International Journal on Interactive Design and Manufacturing, 2025
Revolutionizing Communication Assessment with the GCN-LSTM-A Automation Method
Alone Vinod N, Reshma Nandkumar Pawar, Mohammed Saleh Al Ansari, M. Pavithra, M. Rajeswari, Lalit Kumar Yadav
3rd International Conference on Data Science and Information System Icdsis 2025, 2025
A physician working in an emergency room must have excellent C-IP skills, such as being fluent in English and having great patient engagement abilities. These abilities are essential for meeting patients' demands and providing high-quality treatment in today's complicated ER settings. Directed instruction and communication assessment of C-IP abilities are now standards in all EM training programs according to the ACGME Outcome Project. Preprocessing, feature extraction, and training the model are all part of the suggested approach to communication evaluation. TF-IDF weighting, stemming, tokenisation, and stop-word removal are all part of the preprocessing. The model is trained with GCN-LSTM to improve accuracy after feature extraction using TF-IDF and Doc2Vec. With an exceptional success rate of 98.43%, the suggested strategy far surpasses traditional models such as standalone LSTM and GCN. These results demonstrate how well the method works for accurately gauging communication abilities. Considering the importance of clear communication in emergency medicine, this cutting-edge approach offers a dependable means of assessing C-IP skills, which in turn improves medical education and, eventually, patient care.
RETRACTED: Fuzzy modelling approach and soft computing mechanism for predicting cognitive impairment in old people(Journal of Intelligent & Fuzzy Systems, (2025), 48, (777-788))
Yousef Methkal Abd Algani, K. Suresh Babu, Shehab Mohamed Beram, Mohammed Saleh Al Ansari, Ruben Dario Tapia-Silguera, Ricardo Fernando Cosio Borda, B. Kiran Bala
Journal of Intelligent and Fuzzy Systems, 2025
This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219434 .
A study analyzing the major determinants of implementing Internet of Things (IoT) tools in delivering better healthcare services using regression analysis
Chamandeep Kaur, Mohammed Saleh Al Ansari, Nisha Rana, Bhadrappa Haralayya, Yaisna Rajkumari, K. C. Gayathri
Advanced Technologies for Realizing Sustainable Development Goals 5g AI Big Data Blockchain and Industry 4 0 Application, 2024
The new advancements in healthcare systems are influenced majorly by the adoption of the Internet of Things (IoT). This is especially important in light of the present state of affairs in the healthcare, social welfare, and energy sectors. By understanding the interconnected problems such as energy efficiency and sustainable development, it may be possible to enhance the well-being of both humans and the environment. The incorporation of sensors and other intelligent devices is crucial to the accomplishment of the aims of sustainable development. In todays rise in population, there is a key area in which the latest scientific developments really need to be put into practice: public health. For the sake of the well-being of future generations, it is essential toconduct research on the ways in which the SDGs have an impact on the uses of sensors and the Internet of Things in human environments. Peoples lives are being influenced by applications of technology, sensor networks, intelligent systems, and the Internet of Things (IoT), all of which are having a positive impact on the environmental sustainability and energy efficiency of the world.The digitization and application of intelligent systems and the Internet of Things devices are carried out in blocks of analysis, organized in a variety of disciplines, in urbanized settings, and in human-inhabited communities; nonetheless, they all have a similar center of gravity, which is the trilogy: human, technology, and sustainability. The management of effective and healthy resources, enhanced governance, and programs that encourage the adoption of new technological solutions are all necessary for sustainable development in better healthcare services. The study is focused on the major determinants of implementing Internet of Things (IoT) tools in delivering better healthcare services.
GENERATIVE AI: TWO LAYER OPTIMIZATION TECHNIQUE FOR POWER SOURCE RELIABILITY AND VOLTAGE STABILITY
Journal of Theoretical and Applied Information Technology, 2024
Estimation of Machining Performance in Wire EDM of Aluminum Silicon Nitride Composite an Experimental Analysis and ANN Modeling
Mohammed Saleh Al Ansari, Seeniappan Kaliappan, G. Bharath Reddy, M. Muthukannan, Ramya Maranan, Parthasarathi Mishra
E3s Web of Conferences, 2024
The primary objective of the current research is to optimize machining performance in Al 7010 alloyreinforced with silicon nitride nanoparticles. This has been accomplished through a combination ofexperimental analysis and predictive modeling methodologies. Initially, composite materials were createdusing stir casting, and varied percentages of silicon nitride were incorporated into the material to supplementits mechanical properties. Wire Electrical Discharge Machining was performed using different parameters suchas Pulse On Time , Pulse Off Time , and Current , and a range of these parameters was defined according tolevels . Material Removal Rate and Surface Roughness were chosen as the machining responses and indicatedhigh sensitivity to variations in chosen parameters. Each response was thoroughly investigated and detectedusing these responses before establishing the optimized levels. Taguchi design of experiments and signal-tonoiseratio were two common techniques used to investigate parameter interactions, and they were also used todetermine the optimum combinations for both the parameters for optimizing MRR and minimizing SR.Moreover, an Artificial Neural Network (ANN) model was also established to foresee the response readingswith great precision and predict the parameter effect to enhance further predictive modeling capabilities inmachining. The present research optimization results indicated that the maximum MRR is obtained at Pulse OnTime , Pulse Off Time , and Current levels, while the minimum SR is obtained at Pulse On Time , Pulse OffTime , and Current levels. These findings provide promising avenues of research in the field of aerospace,indicating the possibility of machining components with superior machinability and mechanical strength.Furthermore, the predicting ability of an ANN model helps in obtaining the insights to engineers to optimizetheir process by gaining information about performance and material response.
Optimizing Surface Roughness in Turning of Al7072 with Nano particles of Carbon Metal Matrix Composite using Taguchi Analysis and ANN Prediction
Mohammed Saleh Al Ansari, Seeniappan Kaliappan, P. Bhargavi, Shital P. Dehankar, T. Mothilal, Ramya Maranan
E3s Web of Conferences, 2024
Enhancing Mechanical Properties of Composites with Plasma-Treated Linear Low-Density Propylene Matrix, SiC Nanoparticles, and Carbon Fiber Filler
Mohammed Saleh Al Ansari, S. Kaliappan, G. Vanya Sree, Pranav Kumar Prabhakar, Ramya Maranan, Pawan Devidas Meshram
E3s Web of Conferences, 2024
Experimental Insights and ANN-Based Surface Roughness Prediction through analysis of Machined Surface Quality of Al2024/SiCp Composites
Mohammed Saleh Al Ansari, A. Krishnakumari, M. Saravanan, Chappeli Sai Kiran, Seeniappan Kaliappan, Ramya Maranan
E3s Web of Conferences, 2024
Optimizing Milling Parameters for Al7075/ nano SiC/TiC Hybrid Metal Matrix Composites using Taguchi Analysis and ANN Prediction
Mohammed Saleh Al Ansari, S. Kaliappan, G. Mrudula, Prashant B. Dehankar, Ramya Maranan, Putti Venkata Siva Teja
E3s Web of Conferences, 2024
Optimizing Aluminum Metal Matrix Composites with SiC Nanoparticles using Taguchi-ANN Approach for Enhanced Mechanical Performance
Mohammed Saleh Al Ansari, K.M.B. Karthikeyan, Seeniappan Kaliappan, S. Yogeswari, Ramya Maranan, Pawan Devidas Meshram
E3s Web of Conferences, 2024
ENHANCING WATER PURIFICATION EFFICIENCY THROUGH MACHINE LEARNING-DRIVEN MXENE FUNCTIONALIZATION
Journal of Theoretical and Applied Information Technology, 2024
Python-Powered remote sensing data
Aamir Raza, Sheraz Maqbool, Muhammad Safdar, Hasnain Ali, Ikram Ullah, Ali Akbar, Avery Williams, Mohammed Saleh Al Ansari, Mubashir Ahmed, Awn Abbas, Abdul Malik
Geospatial Application Development Using Python Programming, 2024
Implementation of a neuro-fuzzy- based classifier for the detection of types 1 and 2 diabetes
Chamandeep Kaur, Mohammed Saleh Al Ansari, Vijay Kumar Dwivedi, D. Suganthi
Advances in Fuzzy Based Internet of Medical Things Iomt, 2024
An intelligent IoT-based healthcare system using fuzzy neural networks
Chamandeep Kaur, Mohammed Saleh Al Ansari, Vijay Kumar Dwivedi, D. Suganthi
Advances in Fuzzy Based Internet of Medical Things Iomt, 2024
Sustainable agriculture and the SDGs: A convergence approach
Muhammad Asim, Aamir Raza, Muhammad Safdar, Mian Muhammad Ahmed, Amman Khokhar, Mohd Aarif, Mohammed Saleh Al Ansari, Jaffar Sattar, Ishtiaq Uz Zaman Chowdhury
Sustainable Practices for Agriculture and Marketing Convergence, 2024
OPTIMIZING WATER DESALINATION: A NOVEL FUSION OF EXTREME LEARNING MACHINE AND GAME THEORY FOR ENHANCED PH PREDICTION - UNVEILING REVOLUTIONARY INSIGHTS
Journal of Theoretical and Applied Information Technology, 2024
MINING DEVIATION WITH MACHINE LEARNING TECHNIQUES IN EVENT LOGS WITH AN ENCODING ALGORITHM
Journal of Theoretical and Applied Information Technology, 2024
DYNAMIC SLICING OPTIMIZATION IN 5G NETWORKS USING A RECURSIVE LSTM MECHANISM WITH GREY WOLF OPTIMIZATION
Journal of Theoretical and Applied Information Technology, 2024
Precision agriculture and unmanned aerial vehicles (UAVs)
Rehan Mehmood Sabir, Abid Sarwar, Muhammad Safdar, Mohammed Saleh Al Ansari
Agriculture and Aquaculture Applications of Biosensors and Bioelectronics, 2024
Optical sensing for precision agriculture
Muhammad Talal, Aamir Raza, Muhammad Safdar, Mohammed Saleh Al Ansari, Syed Kashif Ali, Jaffar Sattar
Agriculture and Aquaculture Applications of Biosensors and Bioelectronics, 2024
Applications of sensors in precision agriculture for a sustainable future
Muhammad Fawaz Saleem, Ali Raza, Rehan Mehmood Sabir, Muhammad Safdar, Muhammad Faheem, Mohammed Saleh Al Ansari
Agriculture and Aquaculture Applications of Biosensors and Bioelectronics, 2024
Automated plant disease detection: A convergence of agriculture and technology
Aamir Raza, Muhammad Safdar, Hasnain Ali, Mudassir Iftikhar, Qandeel Ishfaqe, Mohammed Saleh Al Ansari, Peng Wang, Ali Shahroze Khan
Agriculture and Aquaculture Applications of Biosensors and Bioelectronics, 2024
EXPLORING THE DYNAMICS OF EDUCATIONAL FEEDBACK NETWORKS WITH GRAPH THEORY AND LSTM-BASED MODELING FOR ENHANCED LEARNING ANALYTICS AND FEEDBACK MECHANISMS
Journal of Theoretical and Applied Information Technology, 2024
Ant Colony Optimization for Network Customization in Cognitive Human-Computer Communication
Shamim Ahmad Khan, S. S. Pande, Mohammed Saleh Al Ansari, Asfar H. Siddiqui, Bobonazarov Abdurasul, Ponni Valavan M
2024 International Conference on Cognitive Robotics and Intelligent Systems Icc Robins 2024, 2024
Optimization of Neural Networks using Swarm Intelligence Techniques for Achieving Energy Efficiency in Smart Building Architecture
M. Karthick Raja, Makhbuba Shermatova, Mohammed Saleh Al Ansari, Shokhjakhon Abdufattokhov, Vuda Sreenivasa Rao, I. Infant Raj
2024 International Conference on Cognitive Robotics and Intelligent Systems Icc Robins 2024, 2024
Development of Scalable Deep Learning Frameworks Utilizing Advanced Hybrid Models like Transformer-CNN for Distributed Computing Environments
Divya Nimma, S Sandhiya, Deepak Gupta, Deepa Nagalavi, Mohammed Saleh Al Ansari, I Infant Raj
2nd IEEE International Conference on Innovations in High Speed Communication and Signal Processing Ihcsp 2024, 2024
Cross Scoop Fractal Antenna Design with Notch at 15 Degree for Emerging Applications at 5.2GHz
R Saravanakumar, Raju Thommandru, E. Krishna Kumar, Mohammed Saleh Al Ansari, Prabhakar S Manage, Suresh Kumar Muthuvel
2024 International Conference on Recent Advances in Electrical Electronics Ubiquitous Communication and Computational Intelligence Raeeucci 2024, 2024
Utilizing Hybrid Deep Reinforcement Learning and Transformer Networks for Predictive Maintenance in Product Safety Engineering
Divya Nimma, Mathi Kannaiyan, Deepak Gupta, Manidipa Roy, Mohammed Saleh Al Ansari, A. Balakumar
2024 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Applications Icaiqsa 2024 Proceedings, 2024
Innovations in Media C: Federated Learning and BiLSTM Integration for Image and Video Analysis
A Suresh Kumar, A Balavivekanandhan, Mohammed Saleh Al Ansari, P N V Syamala Rao M, D Gouse Peera, S Muthuperumal
2024 3rd International Conference on Electrical Electronics Information and Communication Technologies Iceeict 2024, 2024
Dynamic Fault Diagnosis in Wind Turbines: A GNN-LSTM Approach
G V Ramesh Babu, Sagar Baburao Porlekar, H. Mohammed Ali, Veera Ankalu Vuyyuru, Mohammed Saleh Al Ansari, I Infant Raj
2024 IEEE 3rd International Conference on Electrical Power and Energy Systems Icepes 2024, 2024
Enhancing Water Quality Forecasting Reliability Through Optimal Parameterization of Neuro-Fuzzy Models via Tunicate Swarm Optimization
Kambala Vijaya Kumar, Y Dileep Kumar, Sanjiv Rao Godla, Mohammed Saleh Al Ansari, Yousef A.Baker El-Ebiary, Elangovan Muniyandy
International Journal of Advanced Computer Science and Applications, 2024
A Hybrid GAN-BiGRU Model Enhanced by African Buffalo Optimization for Diabetic Retinopathy Detection
Sasikala P, Sushil Dohare, Mohammed Saleh Al Ansari, Janjhyam Venkata Naga Ramesh, Yousef A.Baker El-Ebiary, E. Thenmozhi
International Journal of Advanced Computer Science and Applications, 2024
Predictive Maintenance of Power Transformers in Distribution Network with Energy Management Using Deep Learning
Pooja Pande, K Hussain, B Pravallika, Mohammed Saleh Al Ansari, R.M. Tharsanee, Srinivasa Acharya
Proceedings 2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks Icicv 2024, 2024
Adaptive Neuro-Fuzzy Inference System for Cognitive Load Assessment in Brain Machine Interfaces
M. Siva Mala, Mohd Mushtaq Karche, Arfanda Anugrah Siregar, Mohammed Saleh Al Ansari, Vuda Sreenivasa Rao, I Infant Raj
2024 International Conference on Intelligent Systems and Advanced Applications Icisaa 2024, 2024
Enhancing Engineering Pedagogy through Deep Learning: Applications of Explainable AI and Neural Networks
Umamaheswari. U, Pushpa Latha Mamidi, Divya Nimma, D. Venkateswarlu, Mohammed Saleh Al Ansari, Ponni Valavan M
2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2024, 2024
Hybrid MLP-GRU Federated Learning Framework for Industrial Predictive Maintenance
K. Praveena, M. Misba, Chamandeep Kaur, Mohammed Saleh Al Ansari, Veera Ankalu. Vuyyuru, S Muthuperumal
2024 3rd International Conference on Electrical Electronics Information and Communication Technologies Iceeict 2024, 2024
A Hybrid CNN- GRU Approach with Transfer Learning for Advanced Waste Classification in Support of Environmental Sustainability
Nalla Siva Kumar, Tripti Sahu, Mohammed Saleh Al Ansari, Shamim Ahmad Khan, J.P. Swagatha, I Infant Raj
2024 International Conference on Intelligent Systems and Advanced Applications Icisaa 2024, 2024
Advancing Surveillance Systems: Leveraging Sparse Auto Encoder for Enhanced Anomaly Detection in Image Data Security
Ravindra Changala, Praveen Kumar Yadaw, Mansoor Farooq, Mohammed Saleh Al Ansari, Veera Ankalu Vuyyuru, S Muthuperumal
2nd IEEE International Conference on Data Science and Network Security Icdsns 2024, 2024
Enhancing Kitchen Waste Composting with Black Soldier Fly Larvae: Integrating Life Cycle Assessment and CNN-GRU Models
G Ahmed Zeeshan, Mohammed Saleh Al Ansari, Sumit Pokhriyal, R. Mahendranath Chowdary, Vuda Sreenivasa Rao, I Infant Raj
2nd IEEE International Conference on Innovations in High Speed Communication and Signal Processing Ihcsp 2024, 2024
Monitoring of operational conditions of fuel cells by using machine learning
Andip Babanrao Shrote, K Kiran Kumar, Chamandeep Kaur, Mohammed Saleh Al Ansari, Pallavi Singh, Bramah Hazela, Madhu G C
Eai Endorsed Transactions on Internet of Things, 2024
Thermal and effective assessment of solar thermal air collector with roughened absorber surface: An analytical examination
Raj Kumar, Muneesh Sethi, Varun Goel, M K Ramis, Majed AlSubih, Saiful Islam, Mohammed Saleh Al Ansari, Daeho Lee, Anteneh WogassoWodajo
International Journal of Low Carbon Technologies, 2024
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING-DRIVEN DECISION-MAKING IN SPINAL DISEASE TREATMENT
Journal of Theoretical and Applied Information Technology, 2023
A novel vehicle tracking approach using random forest classifier for disaster management system along with R-CNN for enhancing the performance
Hussein Tuama Hazim, Chamandeep Kaur, Sambhrant Srivastava, Iskandar Muda, Harish Chander Anandaram, Mohammed Saleh Al Ansari
Aip Conference Proceedings, 2023
Neural network based single index evaluation for SQL injection attack detection in health care data
N. Nagabhooshanam, N. Bala sundara ganapathy, C. Ravindra Murthy, Al Ansari Mohammed Saleh, Ricardo Fernando CosioBorda
Measurement Sensors, 2023
Removal notice to “Machine learning in health condition check-up: An approach using Breiman's random forest algorithm” (Measurement: Sensors (2022) 23, (S266591742200040X), (10.1016/j.measen.2022.100406))
Yousef Methkal Abd Algani, Mahyudin Ritonga, B. Kiran Bala, Mohammed Saleh Al Ansari, Malek Badr, Ahmed I. Taloba
Measurement Sensors, 2023
Leaf disease identification and classification using optimized deep learning
Yousef Methkal Abd Algani, Orlando Juan Marquez Caro, Liz Maribel Robladillo Bravo, Chamandeep Kaur, Mohammed Saleh Al Ansari, B. Kiran Bala
Measurement Sensors, 2023
Blockchain And Machine Learning-Based Real-Time Analysis of Smart Manufacturing
Samit Kumar Singh, S Solomon Raj, Mohammed Saleh Al Ansari, G Laxmaiah
2023 International Conference on New Frontiers in Communication Automation Management and Security Iccams 2023, 2023
Social Media Marketing Using the AIML Algorithm
D. Leela Dharani, Renu Vij, Mohammed Saleh Al Ansari, Amedapu Srinivas
2023 International Conference on New Frontiers in Communication Automation Management and Security Iccams 2023, 2023
Development of a mobile application to control and monitor the electricity: IoT
S Sivakumar, Muniyandy Elangovan, Ajith Sundaram, Mohammed Saleh Al Ansari
2023 International Conference on New Frontiers in Communication Automation Management and Security Iccams 2023, 2023
MIMO Optimized Algorithm to Develop the Energy Efficiency Underwater
Ritesh Kumar Kushwaha, Mohammed Saleh Al Ansari, Janjhyam Venkata Naga Ramesh, Penki Rohit
2023 International Conference on New Frontiers in Communication Automation Management and Security Iccams 2023, 2023
Swarm Intelligent Data Clustering Performance Improvement by Social Spiders' Optimization
Aniket Bhagirath Jadhav, Sushil Bhardwaj, G.N.R. Prasad, Mohammed Saleh Al Ansari
2023 International Conference on New Frontiers in Communication Automation Management and Security Iccams 2023, 2023
Design and Development of 5 DOF Bio-Inspired Robotic Arm
Aniket Bhagirath Jadhav, G Laxmaiah, S Solomon Raj, Mohammed Saleh Al Ansari
2023 International Conference on New Frontiers in Communication Automation Management and Security Iccams 2023, 2023
Performance investigation of a Scheffler solar cooking system combined with Stirling engine
Qusai Alkhalaf, Amar Raj Singh Suri, S.S. Chandel, Sashank Thapa, Mohammed Saleh Al Ansari
Materials Today Proceedings, 2023
Machine Learning Algorithms to Visualize the Weld Quality and Evaluation of Health Issues during the Welding
Rvvsv. Prasad, Parkhe Ravindra Ambadas, Somesubhra Panda, Mohammed Saleh Al Ansari, k. Deepthi
2023 International Conference on New Frontiers in Communication Automation Management and Security Iccams 2023, 2023
Understanding AI: Interpretability and Transparency in Machine Learning Models
Ramesh Dugyala, Sandeep Kumar Singh, Mohammed Saleh Al Ansari, C. Gunasundari, Kilaru Aswini, G. Sandhya
2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
IoT based Weather, Soil, Earthquake, and Air Pollution Monitoring System
Yogesh Pal, S Nagendram, Mohammed Saleh Al Ansari, Kamlesh Singh, L.A. Anto Gracious, Pratap Patil
Proceedings 7th International Conference on Computing Methodologies and Communication Iccmc 2023, 2023
Using Generative Adversarial Networks and Ensemble Learning for Multi-Modal Medical Image Fusion to Improve the Diagnosis of Rare Neurological Disorders
Bhargavi Peddi Reddy, K Rangaswamy, Doradla Bharadwaja, Mani Mohan Dupaty, Partha Sarkar, Mohammed Saleh Al Ansari
International Journal of Advanced Computer Science and Applications, 2023
A Comparative Technique to Extending the Life of Wireless Sensor Networks
Manish Kaushik, P. Amrutha, Anita Gehlot, Shikha Kuchhal, Mohammed Saleh Al Ansari, V Malathy
2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
An Ensemble Learning Approach for Multi-Modal Medical Image Fusion using Deep Convolutional Neural Networks
Andino Maseleno Rao Godla, D. Kavitha, Koudegai Ashok, Mohammed Saleh Al Ansari, Nimmati Satheesh, R. Vijaya Kumar Reddy
International Journal of Advanced Computer Science and Applications, 2023
Utilizing Multimodal Medical Data and a Hybrid Optimization Model to Improve Diabetes Prediction
A. Leela Sravanthi, Sameh Al-Ashmawy, Chamandeep Kaur, Mohammed Saleh Al Ansari, K. Aanandha Saravanan, Veera Ankalu. Vuyyuru
International Journal of Advanced Computer Science and Applications, 2023
A Dynamic Model for Predicting Indoor Temperatures based on CBLSTM and Auto Encoder Approach
Murali Karri, Prasenjit Yashwant Fulzele, Mohammed Saleh Al Ansari, K. M. Devendraiah, B. Umamaheswari, Dharmendra Singh
2nd International Conference on Automation Computing and Renewable Systems Icacrs 2023 Proceedings, 2023
Evaluating the Wear Characteristics of Al 5024 Alloy with Varying SiC Nano Particle Percentages and Predictive Analysis using Artificial Neural Networks
Eshwararao Boddepalli, Gujar Anantkumar Jotiram, Thilagham K T, Mohammed Saleh Al Ansari, Anil Baburao Desai, K. K. Bajaj
1st International Conference on Emerging Research in Computational Science Icercs 2023 Proceedings, 2023
Enhancing Style Transfer with GANs: Perceptual Loss and Semantic Segmentation
A Satchidanandam, R. Mohammed Saleh Al Ansari, A L Sreenivasulu, Vuda Sreenivasa Rao, Sanjiv Rao Godla, Chamandeep Kaur
International Journal of Advanced Computer Science and Applications, 2023
A Novel Method for Attendance Marking System Using Hybrid LSTM and RNN Based Networks
E. Manigandan, Mohammed Saleh Al Ansari, Praveena Nuthakki, Bhuvneshwari S, G Kala Priyadharshini, Muruganantham Ponnusamy
7th International Conference on Electronics Communication and Aerospace Technology Iceca 2023 Proceedings, 2023
Chronic Kidney Disease Prediction Using Machine Learning
Chamandeep Kaur, M. Sunil Kumar, Afsana Anjum, M. B. Binda, Maheswara Reddy Mallu, Mohammed Saleh Al Ansari
Journal of Advances in Information Technology, 2023
Sensor-Based Networks and the Internet of an Everything Solutions and Difficulties
Vinay Kumar Nassa, Manish Gupta, Mohammed Saleh Al Ansari, Ramesh R, Hayder Al-Chilibi, Malik Bader Alazzam
3rd IEEE International Conference on ICT in Business Industry and Government Ictbig 2023, 2023
Improved Red Deer Algorithm for Scientific Workflow Scheduling in Cloud Environment
Chandra Mouli Venkata Srinivas, Hajiyeva Rena, AR. Arunarani, ST Naitik, Mohammed Saleh Al Ansari, Ammar Younas
Proceedings of the 5th International Conference on Inventive Research in Computing Applications Icirca 2023, 2023
Crop Yield Prediction Using Spatio Temporal CNN and Multimodal Remote Sensing
AR. Arunarani, S. Selvanayaki, Mohammed Saleh Al Ansari, Md. Abul Ala Walid, Nagamalleswari Devireddy, Murugesan Mohana Keerthi
Proceedings of the 2nd International Conference on Edge Computing and Applications Icecaa 2023, 2023
Development of NC Program Simulation Software Based on AutoCAD
Xiaoping Li, Xuming Wang, Juanjuan Li, Min Zhang, Mohammed Ansari, Bhawna Goyal
Computer Aided Design and Applications, 2023
Optimizing Crop Yield Prediction in Precision Agriculture with Hyperspectral Imaging-Unmixing and Deep Learning
Deeba K, O. Rama Devi, Mohammed Saleh Al Ansari, Bhargavi Peddi Reddy, Manohara H T, Yousef A. Baker El-Ebiary, Manikandan Rengarajan
International Journal of Advanced Computer Science and Applications, 2023
Optimizing Network Security and Performance Through the Integration of Hybrid GAN-RNN Models in SDN-based Access Control and Traffic Engineering
Ganesh Khekare, K. Pavan Kumar, Kundeti Naga Prasanthi, Sanjiv Rao Godla, Venubabu Rachapudi, Mohammed Saleh Al Ansari, Yousef A. Baker El-Ebiary
International Journal of Advanced Computer Science and Applications, 2023
Beyond Reality: Diving into the Immersive Experience of Computer Gaming
Lipsa Das, Akanksha Singh, Shazia Ali, Harish Chowdhary, Mohammed Saleh Al Ansari, Ankesh Kumar, Ajay Rana
2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
Image Specular Highlight Removal using Generative Adversarial Network and Enhanced Grey Wolf Optimization Technique
Maddikera Krishna Reddy, J. C. Sekhar, Vuda Sreenivasa Rao, Mohammed Saleh Al Ansari, Yousef A.Baker El-Ebiary, Jarubula Ramu, R. Manikandan
International Journal of Advanced Computer Science and Applications, 2023
Enhanced Land Use and Land Cover Classification Through Human Group-based Particle Swarm Optimization-Ant Colony Optimization Integration with Convolutional Neural Network
Moresh Mukhedkar, Chamandeep Kaur, Divvela Srinivasa Rao, Shweta Bandhekar, Mohammed Saleh Al Ansari, Maganti Syamala, Yousef A.Baker El-Ebiary
International Journal of Advanced Computer Science and Applications, 2023
Application of distinct multi criteria decision analysis techniques in the manufacturing sector: A comprehensive review
Nilanjan Mazumdar, Jai Kumar Sharma, Shavkatov Navruzbek Shavkatovich, Dipesh Uike, Sanjeev Kadam, Mrinal Verma, Mohammed Jaber Alam, Abhay sharma, Abhishek Thakur, Mohammed Saleh Al Ansari
Materials Today Proceedings, 2023
Synthesis of Mn-Doped ZnO Nanoparticles and Their Application in the Transesterification of Castor Oil
Afifa Zahid, Zahid Mukhtar, Muhammad Azam Qamar, Sammia Shahid, Syed Kashif Ali, Mohammad Shariq, Hussain J. Alathlawi, Mohd Abul Hasan, Mohd Shakir Khan, Saiful Islam, Bhagyashree R. Patil, Mohammed Saleh Al Ansari, Zahid Nawaz, Mudassar Sher
Catalysts, 2023
Marshall Stability Prediction with Glass and Carbon Fiber Modified Asphalt Mix Using Machine Learning Techniques
Ankita Upadhya, Mohindra Singh Thakur, Mohammed Saleh Al Ansari, Mohammad Abdul Malik, Ahmad Aziz Alahmadi, Mamdooh Alwetaishi, Ali Nasser Alzaed
Materials, 2022
Solar Energy Technology: Step Towards Bright Future of the World
Ashish Bagwari, Ashraf Samarah, R. P. S. Gangwar, Harishchander Anandaram, Ghada Elkady, Mohammed Saleh Al Ansari, Greeshma Arya, Jagriti Uniyal
International Journal of Mathematical Engineering and Management Sciences, 2022
Analysis of Hadoop log file in an environment for dynamic detection of threats using machine learning
K Bapayya Naidu, B. Ravi Prasad, Samar Mansour Hassen, Chamandeep Kaur, Mohammed Saleh Al Ansari, R. Vinod, M. Nivetha, B. Kiran Bala
Measurement Sensors, 2022
Machine learning in health condition check-up: An approach using Breiman's random forest algorithm
Yousef Methkal Abd Algani, Mahyudin Ritonga, B. Kiran Bala, Mohammed Saleh Al Ansari, Malek Badr, Ahmed I. Taloba
Measurement Sensors, 2022
Photovoltaic Power Generation Systems and Applications Using Particle Swarm optimization Algorithms
Jian Wang, Kai Wei, Mohd Dilshad Ansari, Mohammed Saleh Al. Ansari, Amit Verma
Electrica, 2022
Detection of features from the internet of things customer attitudes in the hotel industry using a deep neural network model
Sudha Rajesh, Yousef Methkal Abd Algani, Mohammed Saleh Al Ansari, Bhuvaneswari Balachander, Roop Raj, Iskandar Muda, B. Kiran Bala, S. Balaji
Measurement Sensors, 2022
Application of Internet of Things (IoT) and Artificial Intelligence in Unmanned Aerial Vehicles
Dr Anil Kumar Yaramala, Dr Sohail Imran Khan, N Vasanthakumar, Kolli Koteswararao, D. Sridhar, Dr. Mohammed Saleh Al. Ansari
International Journal of Electrical and Electronics Research, 2022
Recognition of Copy Move Forgeries in Digital Images using Hybrid Optimization and Convolutional Neural Network Algorithm
Anna Gustina Zainal, Chamandeep Kaur, Mohammed Saleh Al Ansari, Ricardo Fernando Cosio Borda, A. Nageswaran, Rasha M. Abd El-Aziz
International Journal of Advanced Computer Science and Applications, 2022
Machine Learning Based Corporate Climate Change Disclosure in Integrating Institutional and Resource Approach based on Computational Intelligence Method
B R Supreeth, Mohammed Saleh Al Ansari, Nada Hasan Jasim, Prakash Chandra Swain, Dhamodharan Srinivasan, Sumit Pundir
Proceedings of 5th International Conference on Contemporary Computing and Informatics Ic3i 2022, 2022
Data Management and Visual Information Processing using Machine Learning
Arhath Kumar, Shivani Joshi, Shaik Vaseem Akram, Joel Alanya-Beltran, Mohammed Saleh Al Ansari, Vikas Tripathi
Proceedings of 5th International Conference on Contemporary Computing and Informatics Ic3i 2022, 2022
Skin Cancer Prediction using Machine Learning and Neural Networks
Neha Tyagi, Logeshwari Dhavamani, Mohammed Saleh Al Ansari, Bhasker Pant, Dilip Kumar Jang Bahadur Saini, Joshuva Arockia Dhanraj
Proceedings of 5th International Conference on Contemporary Computing and Informatics Ic3i 2022, 2022
A Hybrid Optimization Approach with Deep Learning Technique for the Classification of Dental Caries
Riddhi Chawla, Konda Hari Krishna, Araddhana Arvind Deshmukh, K. V. Daya Sagar, Mohammed Saleh Al Ansari, Ahmed I. Taloba
International Journal of Advanced Computer Science and Applications, 2022
Mechanical Evaluation on Carbon/Basalt Fiber-Reinforced Hybrid Polymer Matrix Composite
Razan A. Alshgari, M. Sarat Chandra Prasad, Bipin Kumar Srivastava, Mohammed Saleh Al Ansari, Parul Gupta, A. Sivakumar, Saikh Mohammad Wabaidur, M. Ataul Islam, Abdi Diriba
Advances in Polymer Technology, 2022
A review of optimal designs in relation to supply chains and sustainable chemical processes
Mohammed Saleh Al.Ansari
Modern Applied Science, 2012
Improving solid waste management in Gulf Co-operation Council States: Developing Integrated Plans to Achieve Reduction in Greenhouse Gases
Mohammed Saleh Al.Ansari
Modern Applied Science, 2012
Privatization as a financing alternative for desalination plants in Bahrain
Ahmed Khater, Sami Dannish, Mohammed Al-Ansari
Desalination, 1994
Biological fouling and control at Ras Abu Jarbur RO plant - a new approach
S.R. Ahmed, M.S. Alansari, T. Kannari
Desalination, 1989

Dr. Mohammed Saleh Al Ansari

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS