Dr B Kiran Bala

Scopus Publications

Temporal Attention Networks for Real-Time Multimodal Emotion Recognition from EEG and fNIRS Signals
Vinod Waiker, Anne Marie D. Pahiwon, Ankush Mehta, Gadug Sudhamsu, Pavithra M, K. Kiran Kumar, B Kiran Bala, Osama R. Shahin
International Journal of Advanced Computer Science and Applications, 2026
Emotion recognition is critical in the development of real-time mental health care and individualized cognitive behavior. Current strategies to recognize cognitive emotions frequently fail to capture complex time dependencies and multimodal physiological reactions, leading to sub-optimal performance and inaccurate generalization. To overcome such shortcomings, the proposed study suggests TCADNet, a new deep learning model that integrates Temporal Convolutional Networks (TCN), attention-based feature weighting, and GAN-based data augmentation to achieve a high recognition rate of the emotional states through EEG and fNIRS recordings. The model utilizes the TCNs to extract both short-term and long-term temporal trends, and the attention mechanism emphasizes salient parts that bring about emotions, which improves interpretability. Moreover, a Deep Convolutional GAN creates artificial signals of unrepresented emotion classes, eliminating data imbalance and enhancing generalization. The TCADNet model is coded in Python on the TensorFlow/Keras system, and its key components are preprocessing, time modeling, attention weighting, data augmentation, and last classification by SoftMax layers. Experimental outcomes indicate that TCADNet has high recognition performance, with overall recognition, accuracy, precision, and recall, and F1-scores of over 98, which is higher than conventional CNN, LSTM, and separate TCN models. The suggested methodology can be useful to researchers, clinicians, and mental health professionals as it allows them to monitor cognitive and emotional conditions in real-time with a reliable, decipherable, and scalable instrument and provides an opportunity to detect and respond to the issue promptly and implement a tailored intervention plan in educational or health-related settings.
Designing Adaptive Lightweight Encryption Protocols for Secure Multi-Device Communication in Resource-Constrained IoT Architectures
Vishakha D Bhandarkar, Subhasis Patra, Naveen Malik, Al-Hussein Maysir Majid, D. Jyothi Preshiya, B Kiran Bala
6th Biennial International Conference on Nascent Technologies in Engineering Icnte 2026, 2026
The proliferation of IoT devices presents security considerations due to the limited resources available to provide efficient communication. The purpose of this research is to come up with a secure and practical encryption architecture specific to the multi-device IoT systems. As compared to the static approaches, the presented way adjusts the encryption according to the parameters of the device in real-time. The ALiGKM framework combines adaptive and lightweight security with scalable group key management to tackle the changing resource constraints in the system on the one hand and on the other hand to provide inter-device communication security. Using the UNSW-NB15 dataset, the framework was able to score an accuracy of 98.67% with minimal encryption time, memory, CPU and energy consumption. The findings validate that ALiGKM is a strong and effective implementation of the secure access of resource-restricted IoT environments with low overheads and customization.
Leveraging LSTM-Driven Predictive Analytics for Resource Allocation and Cost Efficiency Optimization in Project Management
G. Gokul Kumari, Shokhjakhon Abdufattokhov, Sanjit Singh, Guru Basava Aradhya S, T L Deepika Roy, Yousef A.Baker El-Ebiary, Elangovan Muniyandy, B Kiran Bala
International Journal of Advanced Computer Science and Applications, 2025
Resource planning and cost optimization are essential elements of effective project management. Conventional models are weak in changing environments because they cannot keep pace with intricate task interdependencies and changing project constraints. To overcome such weaknesses, this research envisions an LSTM-based predictive analytics model that deploys temporal trends and past project information for precise predictions of task duration, resource allocations, and possible delays. The proposed method combines sequential data modeling with Long Short-Term Memory (LSTM) networks, along with data preprocessing and optimization, to enhance project scheduling and cost control decision-making. With TensorFlow implementation, the proposed LSTM-PRO model resulted in a Mean Squared Error (MSE) of 0.0025, Root Mean Squared Error (RMSE) of 0.05, and an R² score of 0.96, which was far better than ARIMA and other baseline models. The model resulted in a cost saving of 20% on project costs and 20% rise in resource utilization from 65% to 85%. The outcome proves the effectiveness and applicability of the model in actual project settings.
Lung Cancer Diagnosis Using Statistical Methods and the Raman Spectroscopy Model
B. Kiran Bala, Lakhvinder Kaur, July Ana Yovera Vargas, Carlos Heraclides Pajuelo Camones, Abdul Rahman Mohammed Al Ansari, Ahmed I. Taloba
Aip Conference Proceedings, 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
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
A Deep Learning Approach for Proactive Detection and Mitigation of Zero-Day Attacks in IoT Environment
Franciskus Antonius Alijoyo, N. Venkatramana, Omaia Al-Omari, Shamim Ahmad Khan, B. Kiran Bala
Lecture Notes in Networks and Systems, 2025
Advanced AI-Driven Predictive Modeling for Enhancing Customer Retention in Subscription-Based Service Platforms
Janjhyam Venkata Naga Ramesh, Roshan D. Suvaris, S. Mahabub Basha, Divya Nimma, B. Kiran Bala
Lecture Notes in Electrical Engineering, 2025
Android Malware Detection via Hybrid Lion-Bee Optimization with Bi-Directional Recurrent Neural Network
Sivaram Rajeyyagari, Mohamed Ahmed Elfaki, Khan Asif Rashid, B Kiran Bala, Omar Reyad
3rd International Conference on Integrated Circuits and Communication Systems Icicacs 2025, 2025
The number of malicious programs that target the Android OS has significantly expanded with the rise in mobile device usage. It is crucial to identify, prevent, and defeat Android malware assaults since they have long presented a severe threat to Android apps. The emergence of secure Android app ecosystem depends on recognizing and classifying harmful applications into groups are similar to another. Malware families can be categorized in order to recognize harmful activity and to systematically spot dangerous-patterns. Thus, the study suggests a hybrid strategy that combines the attributes discovered from doing static and dynamic malware assessment for enhanced identification and categorization of Android malware. This method more effectively addresses the issue of studying, identifying Android malware. The feature extracted from image sections utilizing the hybrid lion and artificial bee colony (HL-ABC) optimization. RNN were used to classify the retrieved features. Each segment of a malware image file served as a test case for the categorization performance. This is contrasted with other current ways to show the effectiveness of the suggested strategy. Comparing the suggested model to other approaches, the study's findings demonstrate its effectiveness in identifying and classifying Android malware.
Predicting Tax Defaults Through Feature Transformation and XGBoost Optimization
Vinod Waiker, Malik Bader Alazzam, Sakar Fatah Sulaiman, Deepak Gupta, Himanshu Gohokar, B Kiran Bala
Proceedings of 2025 3rd International Conference on Intelligent Systems Advanced Computing and Communication Isacc 2025, 2025
This study focuses on predicting tax defaults using advanced machine learning techniques, specifically Feature Transformation and XGBoost Optimization. Accurate prediction of tax defaults is crucial for improving tax collection efficiency and minimizing revenue losses. The analysis begins with data collection from the Kaggle Individual Income Tax Statistics dataset, which includes detailed taxpayer income, deductions, and credits. To enhance the predictive power of the model, Min-Max Normalization is applied to ensure all features are scaled uniformly, preventing larger values from dominating the model’s learning process. Following normalization, Principal Component Analysis (PCA) is utilized to reduce dimensionality by extracting the most significant features, which helps in simplifying the dataset while preserving essential information. XGBoost, a powerful gradient boosting algorithm, is then employed for predicting tax defaults. XGBoost’s strength lies in its ability to handle complex relationships between features and mitigate issues like overfitting and data imbalance, which are common in tax default datasets where the majority of taxpayers do not default. The model is fine-tuned through hyperparameter optimization to further improve prediction accuracy. This study demonstrates the effectiveness of combining feature transformation techniques with XGBoost to create a robust and scalable solution for tax default prediction. Feature importance analysis is also conducted to identify key drivers of tax defaults, providing valuable insights for tax authorities to implement preemptive measures. The proposed method is implemented in Python and has an accuracy of about 98.96% which is superior than BiLSTM, LSTM and CNN.
Explainable AI Techniques for English Legal Document Summarization with Multi-Level Contextual and Causal Reasoning
R. Mohana, Munawar Yusuf Sayed, Balaraju B. V, Yashwant Waykar, M. G. Abinaya, B. Kiran Bala
International Conference on Intelligent Communication Networks and Computational Techniques Icicnct 2025, 2025
Development of a Hybrid XGBoost and CNN-based Deep Learning Model for Diabetes Prediction
Dnyaneshwar Bawane, Madde Kumar, Omar Mohsen Hussein, Abdalsalam Taha Hussain Ali, Ahmad Hussein Hassan Muhammad, B. Kiran Bala
2025 International Conference on Intelligent Computing and Knowledge Extraction Icicke 2025, 2025
A Probabilistic Bayesian Network Framework for Strategic Human Resource Retention and Employee Attrition Risk Modeling
Srigouri Kosuri, Jerripothula Manogna, M. Sirisha Rani, Neha Jain, AL. Nachammai, B Kiran Bala
2025 IEEE International Conference on Advances in Computing Research on Science Engineering and Technology Acroset 2025, 2025
Investigating Brain-Inspired Computing Architectures to Enhance Energy Efficiency in AI Models Using Neuromorphic Computing
M Rama Bai, Priyanka, Omaia Al-Omari, Neha Devi, John T Mesia Dhas, B Kiran Bala
International Conference on Innovations in Intelligent Systems Advancements in Computing Communication and Cybersecurity Isac3 2025, 2025
Optimizing English Lexical Databases with BERT and Reinforcement Learning
V. Saranya, G.R.K. Murthy, Purnachandra Rao Alapati, M. Mythili, K. Swarnamughi, B Kiran Bala
2025 5th International Conference on Advances in Electrical Computing Communication and Sustainable Technologies Icaect 2025, 2025
Autoencoder-Lstm Framework for Accurate Foreign Exchange Volatility Prediction
Parijat Saurabh, Malik Bader Alazzam, Nagarajan S, D. Harikishan Reddy, Sakar Fatah Sulaiman, B Kiran Bala
Proceedings of 2025 3rd International Conference on Intelligent Systems Advanced Computing and Communication Isacc 2025, 2025
SecureIoTGrid: A Blockchain-Enabled Cybersecurity Framework for Resilient IoT-Based Smart Energy Grids and E-Mobility Ecosystems
Rajkumar Bhola, G. Indra Navaroj, Monika Gorkhe, G Sajiv, Shivprakash.M. Varimani, B Kiran Bala
2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025
Scaling Challenges and Innovations in High-Density Semiconductor Memory and Logic Circuits
Eswararao Boddepalli, Ban Safar Khalaf, Faris Hassan Taha Hussain, Abdul Hussein Mohsen, Sajiv G, B Kiran Bala
2025 IEEE Madhya Pradesh Section Conference Mpcon 2025, 2025
Cybersecurity Enhancement in IoT-Enabled Public Health Information Systems Using Deep Learning Techniques
Mahesh Kumar Mishra, Lalit Mohan Trivedi, Mansoor Farooq, Divya Nimma, Malik Bader Alazzam, B Kiran Bala
Proceedings of 2025 AI Driven Smart Healthcare for Society 5 0 Adsoc5 0 2025, 2025
Federated Learning for Secure Multi-Vendor E-Commerce Recommendations with Privacy-Preserving User Data
Dayal Pyari, A. Vini Infanta, S. Suma Christal Mary, Nusrat Hamid Shah, Sajiv G, B Kiran Bala
2025 International Conference on Sustainability Innovation and Technology Icsit 2025, 2025
Machine Learning Algorithms for Dynamic Financial Management and Fraud Detection: Implementing Anomaly Detection, and Risk Assessment Techniques
T Haripriya, S. Chandramouli, M. Kavitha, Malathi Devi Parne, Desini Srinivas, B Kiran Bala
International Conference on Intelligent Systems and Computational Networks Iciscn 2025, 2025
Explainable AI with Capsule Networks for Credit Risk Assessment in Financial Systems
Jagbir Singh Kadyan, Manish Sharma, Sunil Kadyan, Sumeet Gupta, Noor Kaylan Hamid, B Kiran Bala
IEEE International Conference on Next Generation Information System Engineering Ngise 2025, 2025
Enhancing AI Integration in HRM with Ethical Transparency Adaptive Models and Workforce Readiness
Joel Osei-Asiamah, Vijaya Maruthi Babu Vedantam, Jillellamoodi Naga Madhuri, Narinder Kumar Bhasin, Sajiv G, B Kiran Bala
2025 International Conference on Sustainability Innovation and Technology Icsit 2025, 2025
Leveraging Ensemble Learning with Deep Learning for Accurate Customer Churn Prediction in Subscription-Based Mode
Janeshwar Raj Y, Divya Nimma, Vijay Kumar, Veera Ankalu Vuyyuru, Ravindra Changala, B Kiran Bala
International Conference on Intelligent Systems and Computational Networks Iciscn 2025, 2025
Consumer Behavior in the Post-Pandemic Era: Insights from Machine Learning and AI-Driven Analytics
Divya Nimma, Ch. Anudeep, Tripti Sahu, Nusrat Hamid Shah, Lubna Hamid Shah, B Kiran Bala
2025 5th International Conference on Advances in Electrical Computing Communication and Sustainable Technologies Icaect 2025, 2025
Neuro-Symbolic AI for Self-Learning Intelligent Systems in Real-Time Industrial Automation
Madhura K, Jawad Radhi Rustum Al-Assal, Omar Mohsen Hussein, Kamila Ibragimova, Sajiv G, B Kiran Bala
2025 IEEE Pune Section International Conference Punecon 2025, 2025
The Role of Artificial Intelligence in Writing Assessment: Learner Perceptions and System Effectiveness
Franciskus Antonius Alijoyo, Riyaz Mohammad, Malik Bader Alazzam, P. Kavitha, Giftsy Dorcas E, B Kiran Bala
2nd International Conference on IT Innovations and Knowledge Discovery Itikd 2024, 2025
Adaptive English Learning System Using Reinforcement Learning for Curriculum Personalization
B Sridevi, G Immanuel, S.Durga, Sankar Musunoori, Shagufta Parween, B Kiran Bala
Proceedings 2025 IEEE 3rd International Symposium on Sustainable Energy Signal Processing and Cybersecurity Isssc 2025, 2025
Natural Language Processing for Sentiment Analysis in ESL Writing: Understanding Emotional Tone in Learner Essays
M. Vinoth Kumar, Subuhi Kashif Ansari, Deepak Gupta, P. Kavitha, G.M. Prem Kumar, B Kiran Bala
2025 5th International Conference on Advances in Electrical Computing Communication and Sustainable Technologies Icaect 2025, 2025
Optimizing Cyberattack Detection in Wireless Sensor Networks Using the Integrated Feature Optimization and Deep Learning Framework (IFODL)
Abhilasha Sharma, Alok Singh Sengar, Eswararao Boddepalli, Vankudoth Ramesh, Sajiv G, B Kiran Bala
International Conference on Communication Computer and Information Technology Ic3it 2025, 2025
A Hybrid Framework for Effective Marketing of Third-Party Products Using Deep Learning and Behavioral Analytics
Sarika Keswani, Chandra Bhooshan Singh, Omar Mohsen Hussein, Azad Salh Nader, Abdalsalam Taha Hussain Ali, B Kiran Bala
Proceedings 2025 IEEE 3rd International Symposium on Sustainable Energy Signal Processing and Cybersecurity Isssc 2025, 2025
Innovative Explainable AI System for English Language Learning Applications Using Interactive Feedback and Conceptual Visualization
Thamarai Selvi M. D, Mandava Vijaya Lakshmi, Purnachandra Rao Alapati, Shagufta Parween, S. Suganthi, B. Kiran Bala
International Conference on Intelligent Communication Networks and Computational Techniques Icicnct 2025, 2025
Optimizing AI Algorithms for Accurate Remote Diagnosis in Cardiovascular Monitoring Systems
Geetha Manoharan, Lalit Mohan Trivedi, S. Suma Christal Mary, Divya Nimma, Malik Bader Alazzam, B Kiran Bala
Proceedings of 2025 AI Driven Smart Healthcare for Society 5 0 Adsoc5 0 2025, 2025
Speech Recognition and Machine Learning: Revolutionizing English Language Oral Assessments
A. Sathiya Jothi, Malik Bader Alazzam, Sakar Fatah Sulaiman, Abirami K, R. Saranya, B Kiran Bala
Proceedings of 2025 3rd International Conference on Intelligent Systems Advanced Computing and Communication Isacc 2025, 2025
Ethical Implications of Data Sharing and Patient Privacy in Medical Informatics Systems
Franciskus Antonius Alijoyo, Malik Bader Alazzam, Ahmad Hussein Hassan Muhammad, Ali Hilal Mutlag, Mustafa Zuhaer Nayef Al-Dabagh, B Kiran Bala
International Conference on Electrical Computer and Energy Technologies Icecet 2025, 2025
Leveraging NLP with Sentiment-Aware Transformers to Analyze Literary Texts for Emotion and Stylistic Patterns
Monika R P, S. Hemalatha, Munawar Yusuf Sayed, Riyaz Mohammad, D. Jyothi Preshiya, B Kiran Bala
International Conference on Communication Computer and Information Technology Ic3it 2025, 2025
Combining Speech Recognition and Machine Learning for Context-Aware English Pronunciation Assessment
Mary Surya Kala, Noor Kaylan Hamid, Sharmeen Izzat Hassan, S. Suganthi, Sameena Begum, B Kiran Bala
2025 International Conference on Emerging Smart Computing and Informatics Esci 2025, 2025
Leveraging Industry 4.0 IoT Platforms for Waste Minimization and Environmental Impact Reduction in Manufacturing
Charu Bisaria, Rahul Pradhan, S.Suma Christal Mary, Monika Gorkhe, Sajiv G, B Kiran Bala
2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025
Real-Time Hybrid CNN-LSTM Network for Intelligent Defect Detection and Classification in Smart Manufacturing
Raynukaazhakarsamy, Deepti Patnaik, Pushpalatha M, Sajiv G, Pradnya A. Vikhar, B Kiran Bala
2025 2nd International Conference on Integration of Computational Intelligent System Icicis 2025, 2025
Explainable Federated AI Framework for Privacy-Aware Medical Image Processing and Diagnostic Decision Support Systems
Sheetal Vijay Kulkarni, Selvaganesh R, Kamila Ibragimova, Malik Bader Alazzam, Sajiv G, B Kiran Bala
2025 IEEE Pune Section International Conference Punecon 2025, 2025
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
Improving Financial Forecasting Accuracy Through Swarm Optimization-Enhanced Deep Learning Models
Balakrishnan S, Y. Srinivasa Rao, Karaka Ramakrishna Reddy, Janjhyam Venkata Naga Ramesh, Elangovan Muniyandy, M. V. A. L. Narasimha Rao, Yousef A. Baker El-Ebiary, B Kiran Bala
International Journal of Advanced Computer Science and Applications, 2025
Computer Vision Analysis of Print Circuit Board for Image Classification of Welding Engineering
Wen-Cheng Lai, B.Kiran Bala, S.Balaji, C.Kavitha, Rashmita Khilar, S.R.Srividhya, Chun-Yu Chiu, Bo-Han Peng
Proceedings of the 4th International Conference on Intelligent Computing and Next Generation Networks Icngn 2025, 2025
Hybrid Attention-Based Transformers-CNN Model for Seizure Prediction Through Electronic Health Records
Janjhyam Venkata Naga Ramesh, M. Misba, S. Balaji, K. Kiran Kumar, Elangovan Muniyandy, Yousef A. Baker El-Ebiary, B Kiran Bala, Radwan Abdulhadi .M. Elbasir
International Journal of Advanced Computer Science and Applications, 2025
Enhancing Cyber-Physical Systems Resilience: Adaptive Self-Healing Security Using Long Short-Term Memory Networks
Franciskus Antonius Alijoyo, Chamandeep Kaur, Afsana Anjum, Veera Ankalu Vuyyuru, B Kiran Bala
Proceedings 3rd International Conference on Advances in Computing Communication and Applied Informatics Accai 2024, 2024
Integrating Recurrent Neural Networks in Virtual Reality-Based Learning Environments for Dynamic Educational Content Generation
Sachit Paliwal, Shraddha Bhadauria, Sasikala P, Ramya M, B Kiran Bala
Proceedings 2024 13th IEEE International Conference on Communication Systems and Network Technologies Csnt 2024, 2024
Integrating Reinforcement Learning and Language Models to Develop Personalized Mentoring Strategies for Women in STEM
B Kiran Bala, J Naga Madhuri, Chinmaya Dash, Mohammad Givi Efgivia, Pavan Kumar Nowbattula, S. Suma Christal Mary
2024 IEEE Silchar Subsection Conference Silcon 2024, 2024
Adaptive Training Program Optimization in Human Resource Development Using Reinforcement Learning and Multilayer Perceptron Models
Syed Habeeb Uddin, V. Lalitha, K.Kiran Kumar Varma, Malathi Devi Parne, Sunita Pachar, B Kiran Bala
Proceedings 2024 4th International Conference on Innovative Sustainable Computational Technologies Cisct 2024, 2024
Predictive Analytics in Credit Scoring: Integrating XG Boost and Neural Networks for Enhanced Financial Decision Making
S.V.S.P.P Jaya Sankar Krishna, Mohd Aarif, Narinder Kumar Bhasin, Sunil Kadyan, Savitha, B Kiran Bala
2nd IEEE International Conference on Data Science and Network Security Icdsns 2024, 2024
Sustainable Manufacturing through Predictive Maintenance: A Hybrid Jaya Algorithm and Sea Lion Optimization and RNN Model for Industry 4.0
Divya Nimma, R Silambarasan, Venkateshkumar R, Mahesh Manchanda, Ravindra Changala, B Kiran Bala
8th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2024 Proceedings, 2024
Utilizing Graph Neural Networks and Game Theory Optimization for Anomaly Detection in Stock Market Investments
Sameer Yadav, Archana Singh, Y Sowmya Reddy, Nripendra Narayan Das, Vuda Seenivasa Rao, B Kiran Bala
Proceedings 2024 4th International Conference on Innovative Sustainable Computational Technologies Cisct 2024, 2024
Utilizing Artificial Intelligence for Enhancing Performance and Preventing Injuries in Sports Analytics
Tushar Dhar Shukla, Divya Nimma, Kiran Sree Pokkuluri, Syed Najmusaqib, K.K. Sivakumar, B Kiran Bala
2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology IC Sit 2024, 2024
Optimizing Mutual Fund Portfolio Management through the Application of Advanced Soft Computing Techniques
Jahnavi M, Kathari Santosh, N Nagasubba Reddy, B. Sireesha, M Sandeep Kumar, B Kiran Bala
2024 3rd International Conference on Electrical Electronics Information and Communication Technologies Iceeict 2024, 2024
Advancing Adaptive Assessment in English Language Teaching: A Deep Learning-based Approach within Intelligent Tutoring Systems
A. Greeni, Preeti Chitkara, Punit Pathak, Myagmarsuren Orosoo, Manikandan Rengarajan, B Kiran Bala
2024 3rd International Conference on Electrical Electronics Information and Communication Technologies Iceeict 2024, 2024
Utilizing Deep Belief Networks for Consumer Behaviour Analysis in Retail Management
Anna Gustina Zainal, Rekha Murugan, Wulan Suciska, Bartoven Vivit Nurdin, Nanang Trenggono, B Kiran Bala
2024 International Conference on Emerging Smart Computing and Informatics Esci 2024, 2024
Comparative Analysis of Deep Learning Models for Multilingual Language Translation
Divya Nimma, V. K. Somasekhar Srinivas, Santoshi Sen Gupta, Hari Nair, R. Latha Devi, B. Kiran Bala
2024 8th Slaai International Conference on Artificial Intelligence Slaai Icai 2024, 2024
Human Centric Explainable AI for Personalized Educational Chatbots
Manohara H T, Annapurna Gummadi, Kathari Santosh, S. Vaitheeshwari, S. Suma Christal Mary, B Kiran Bala
10th International Conference on Advanced Computing and Communication Systems Icaccs 2024, 2024
Predictive Resilience Framework for Energy Management Systems in Next-Generation Smart Grids Using a Hybrid LSTM-ARIMA Model
Divya Nimma, Shamim Ahmad Khan, Gunjan Chhabra, Prasanta Parida, Ajmeera Kiran, B Kiran Bala
2nd IEEE International Conference on Innovations in High Speed Communication and Signal Processing Ihcsp 2024, 2024
Constructing a Blockchain-Based Loyalty Program Model for Secure and Transparent Customer Rewards in Retail Marketing
Ch. Anudeep, Kathari Santosh, M Sandeep Kumar, Jahnavi M, Sabareesh R, B Kiran Bala
Proceedings 2024 13th IEEE International Conference on Communication Systems and Network Technologies Csnt 2024, 2024
A Mixed-Methods Investigation of Trait Emotional Intelligence and Emotional Expression in Language Classes
J Naga Madhuri, Sreela B, Giftsy Dorcas E, S. Sudeshna, K.N.V. Satyanarayana, B Kiran Bala
2nd IEEE International Conference on Innovations in High Speed Communication and Signal Processing Ihcsp 2024, 2024
Gamifying Language Learning: Applying Augmented Reality and Gamification Strategies for Enhanced English Language Acquisition
Kathiravan Ravichandran, B. Anita Virgin, Surekha Patil, Gulnaz Fatma, Manikandan Rengarajan, B Kiran Bala
2024 3rd International Conference on Smart Technologies and Systems for Next Generation Computing Icstsn 2024, 2024
Blockchain-Based Smart Contracts for Supply Chain Management: A Strategic Analysis
Kathari Santosh, Chinmaya Dash, Mohd Aarif, Yadavalli Suresh Kumar, Mrinal Verma, B KiranBala
2024 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2024 Proceedings, 2024
Developing a Chatbot System Utilizing Natural Language Processing for Improved Customer Service and Marketing Automation
Chinmaya Dash, Kulbir Kaur Bhatti, Utpala Das, S. P. Santhoshkumar, A Balavivekanandhan, B Kiran Bala
Proceedings 2024 4th International Conference on Innovative Sustainable Computational Technologies Cisct 2024, 2024
Developing an AI-Assisted Multilingual Adaptive Learning System for Personalized English Language Teaching
Joy Christy Lawrance, Priya Sambath, Crispine Shiny, Mubashira Vazhangal, Prema S, B Kiran Bala
10th International Conference on Advanced Computing and Communication Systems Icaccs 2024, 2024
Enhancing Cloud Computing Security through Hybrid CNN-LSTM and Advanced Data Mining Techniques
Dayal Pyari, Abothu Geetha, B.Kumar Babu, M. Misba, Veera Ankalu Vuyyuru, B Kiran Bala
2024 3rd International Conference on Electrical Electronics Information and Communication Technologies Iceeict 2024, 2024
Design and Evaluation of a Multilingual Chatbot for Interactive English Language Learning
Melito D. Mayormente, R. Subhashini, Marvin D. Mayormente, Joy Christy Lawrance, Manikandan Rengarajan, B Kiran Bala
2nd IEEE International Conference on Data Science and Network Security Icdsns 2024, 2024
Meta-Learning Strategies for Engineering Education Reform: Leveraging Convolutional Neural Networks and Reinforcement Learning Perspectives
SK. Fakruddin Babavali, K. Kavitha, S. Suma Christal Mary, Shamim Ahmad Khan, Prasanta Parida, B Kiran Bala
2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2024, 2024
Enhancing Natural Language Processing in Multilingual Chatbots for Cross-Cultural Communication
Myagmarsuren Orosoo, Indrajit Goswami, Fredrick Ruban Alphonse, Gulnaz Fatma, Manikandan Rengarajan, B Kiran Bala
Proceedings 2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks Icicv 2024, 2024
Enhancing Customer Churn Prediction in Telecommunication with CNN-Gradient Boosting Machine
Sls Raajavinayaga Subaash, Divya Nimma, B Kiran Bala, Shamim Ahmad Khan, Manidipa Roy, Vuda Sreenivasa Rao
2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology IC Sit 2024, 2024
Artificial Intelligence Strategies for Optimizing Native Advertising with Deep Learning
Divya Nimma, Mohd Aarif, Sumit Pokhriyal, Rekha Murugan, Vuda Sreenivasa Rao, B Kiran Bala
2024 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Applications Icaiqsa 2024 Proceedings, 2024
Enhancing Quantum Machine Learning Algorithms for Optimized Financial Portfolio Management
Narinder Kumar Bhasin, Sunil Kadyan, Kathari Santosh, Ramya HP, Ravindra Changala, B Kiran Bala
2024 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2024 Proceedings, 2024
Real-Time Multilingual Communication Enhancement Using Transformer Model for Social Media Platform
Ravindra Changala, Jerripothula Manogna, K. Geetha, Punit Pathak, Chinmaya Dash, B Kiran Bala
2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
Enhancing Personalization in Media Streaming Services Through Graph Neural Network
Ravindra Changala, S. Sandya Sneha Sri, Sunil Kadyan, Sasthi Kumar C, Veera Ankalu Vuyyuru, B Kiran Bala
Proceedings 2024 IEEE 16th International Conference on Communication Systems and Network Technologies Cicn 2024, 2024
The Impact of 5G Technology on Agile Project Management: A Cross-Industry Analysis
Mahesh Kumar Mishra, Krishnamoorthy Selvaraj, Kathari Santosh, Mohd Aarif, S.Suma Christal Mary, B Kiran Bala
Proceedings 2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks Icicv 2024, 2024
Creating an Advanced Recommendation System Integrating Collaborative Filtering and Social Media Analytics for Enhanced Customer Engagement
Kathari Santosh, M Sandeep Kumar, M Jahnavi, N Nagasubba Reddy, B. Sireesha, B Kiran Bala
Proceedings of the 2024 10th International Conference on Communication and Signal Processing Iccsp 2024, 2024
Monte Carlo Tree Search Algorithms for Strategic Planning in Humanoid Robotics
Praveen Gundla, Annapurna Gummadi, Ravindra Changala, VeeraAnkalu Vuyyuru, A Hemantha Kumar, B KiranBala
2024 International Conference on Cognitive Robotics and Intelligent Systems Icc Robins 2024, 2024
Enhancing Robotic Surgery Precision and Safety Using a Hybrid Autoencoder and Deep Belief Network Approach: Real-Time Feedback and Adaptive Control from Image Data
Divya Nimma, SK. Fakruddin Babavali, Ravindra Changala, Mahesh Manchanda, Aradhana Sahu, B Kiran Bala
8th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2024 Proceedings, 2024
A Federated Learning Approach to Privacy-Preserving Data Analysis in Multilingual English Language Learning Platforms
Joy Christy Lawrance, Priya Sambath, Mubashira Vazhangal, Rekha Murugan, S Anuradha, Dr B Kiran Bala
Proceedings of the 2024 10th International Conference on Communication and Signal Processing Iccsp 2024, 2024
Implementing Cross-Lingual Information Retrieval Systems to Enhance Resource Accessibility in English Language Learning
Ravindra Changala, S Barathi, R Subhashini, Joy Christy Lawrance, Anuradha. S, B Kiran Bala
2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
Leveraging AI-Based Large Language Models to Strengthen English Vocabulary Skills in EFL Students
Murugavel S, V. Arunadevi, Rahul Chauhan, K S Punithaasree, Ravindra Changala, B Kiran Bala
2024 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Applications Icaiqsa 2024 Proceedings, 2024
Implementing Genetic Algorithms for Optimization in Neuro-Cognitive Rehabilitation Robotics
L. B. Abhang, Ravindra Changala, Anudeb Ghosh, Prabhakar S Manage, Vuda Sreenivasa Rao, B Kiran Bala
2024 International Conference on Cognitive Robotics and Intelligent Systems Icc Robins 2024, 2024
Leveraging GPT-4 Capabilities for Developing Context-Aware, Personalized Chatbot Interfaces in E-commerce Customer Support Systems
Kathari Santosh, Timur Kholmukhamedov, M Sandeep Kumar, Mohd Aarif, Iskandar Muda, B Kiran Bala
Proceedings of the 2024 10th International Conference on Communication and Signal Processing Iccsp 2024, 2024
Sentiment Analysis in Mobile Language Learning Apps Utilizing LSTM-GRU for Enhanced User Engagement and Personalized Feedback
Ravindra Changala, Archana Borde, R Subhashini, Punit Pathak, Vuda Sreenivasa Rao, B Kiran Bala
2024 3rd International Conference on Electrical Electronics Information and Communication Technologies Iceeict 2024, 2024
Using Fuzzy Set Theory for Adaptive, Dynamic Recommendations in Social Media Platforms
Venkata RaviKumar B, T. Devi, Deepak Gupta, V. Kanpur Rani, Divya Nimma, B Kiran Bala
2024 IEEE Flagship International BIT Conference Next Generation Applications in Green Energy Technology Bitcon 2024, 2024
Applying Artificial Intelligence in English Language Learning for Customized Education
V Moses Jayakumar, R. Rajakumari, Purnachandra Rao Alapati, Mahesh Manchanda, M Vimochana, B Kiran Bala
2024 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Applications Icaiqsa 2024 Proceedings, 2024
Proactive Market Crash Prediction: Investigating GNN-LSTM Networks for Early Detection in Stock Markets
Ravindra Changala, Sameer Yadav, Kathari Santosh, Pravin D Sawant, Veera Ankalu Vuyyuru, B Kiran Bala
2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
Integrating BERT with Recurrent Neural Networks for Predictive Analytics in Product Safety and Reliability Engineering
CH.N.V. Jyothirmai, Mausri Bhuyan, Chandradeep Bhatt, Vinod G. Surange, Vuda Sreenivasa Rao, B Kiran Bala
2nd IEEE International Conference on Innovations in High Speed Communication and Signal Processing Ihcsp 2024, 2024
Advanced Financial Portfolio Management Using a Deep Reinforcement Learning Framework
Sunita Pachar, Narinder Kumar Bhasin, Deepak Gupta, Sourav Mondal, Divya Nimma, B Kiran Bala
2024 IEEE Flagship International BIT Conference Next Generation Applications in Green Energy Technology Bitcon 2024, 2024
Empowering Spoken English Assessment: Advanced Deep Learning Techniques for Automated Evaluation
K. Chandrasekhar, Sana Sarwar, Purnachandra Rao Alapati, K S Punithaasree, Punit Pathak, B Kiran Bala
2024 International Conference on Intelligent Systems and Advanced Applications Icisaa 2024, 2024
Enhancing Fraud Detection in Online E-Commerce Transactions through Deep Learning Auto encoder Model
K. Raghuveer, Taviti Naidu Gongada, Divya Nimma, Mohd Aarif, Keerthi Samudrala, B Kiran Bala
2024 International Conference on Intelligent Systems and Advanced Applications Icisaa 2024, 2024
COOT-Optimized Real-Time Drowsiness Detection using GRU and Enhanced Deep Belief Networks for Advanced Driver Safety
Gunnam Rama Devi, Hayder Musaad Al-Tmimi, Ghadir Kamil Ghadir, Shweta Sharma, Eswar Patnala, B Kiran Bala, Yousef A.Baker El-Ebiary
International Journal of Advanced Computer Science and Applications, 2024
Attention-Based Deep Learning Approach for Pedestrian Detection in Self-Driving Cars
Wael Ahmad AlZoubi, Girish Bhagwant Desale, Sweety Bakyarani E, Uma Kumari C R, Divya Nimma, K Swetha, B Kiran Bala
International Journal of Advanced Computer Science and Applications, 2024
BrainLang DL: A Deep Learning Approach to FMRI for Unveiling Neural Correlates of Language across Cultures
A. Greeni, Yousef A.Baker El-Ebiary, G. Venkata Krishna, G. Vikram, Kuchipudi Prasanth Kumar, Ravikiran K, B Kiran Bala
International Journal of Advanced Computer Science and Applications, 2024
Deep Learning Augmented with SMOTE for Timely Alzheimer's Disease Detection in MRI Images
P Gayathri, N. Geetha, M. Sridhar, Ramu Kuchipudi, K. Suresh Babu, Lakshmana Phaneendra Maguluri, B Kiran Bala
International Journal of Advanced Computer Science and Applications, 2024
Enhancing Threat Detection in Financial Cyber Security Through Auto Encoder-MLP Hybrid Models
Layth Almahadeen, Ghayth ALMahadin, Kathari Santosh, Mohd Aarif, Pinak Deb, Maganti Syamala, B Kiran Bala
International Journal of Advanced Computer Science and Applications, 2024
Cross-Lingual Transfer Learning in NLP: Enhancing English Language Learning for Non-Native Speakers
Purnachandra Rao Alapati, Joy Christy Lawrance, Priya Sambath, Rekha Murugan, Manikandan Rengarajan, I Infant Raj, B Kiran Bala
Proceedings of the 2024 10th International Conference on Communication and Signal Processing Iccsp 2024, 2024
A blockchain-enabled, trust and location dependent - Privacy preserving system in VANET
Kiran Bala, Ramakant Upadhyay, Syed Rashid Anwar, Gajendra Shrimal
Measurement Sensors, 2023
Performance analysis of a novel hybrid deep learning approach in classification of quality-related English text
Myagmarsuren Orosoo, Santhakumar Govindasamy, Narmandakh Bayarsaikhan, Yaisna Rajkumari, Gulnaz Fatma, R. Manikandan, B. Kiran Bala
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
Robust Hearing-Impaired Speaker Recognition from Speech using Deep Learning Networks in Native Language
Jeyalakshmi Chelliah, KiranBala Benny, Revathi Arunachalam, Viswanathan Balasubramanian
International Arab Journal of Information Technology, 2023
Utilizing the Random Forest Algorithm to Enhance Alzheimer's disease Diagnosis
Chamandeep Kaur, Tuhina Panda, Subhasis Panda, Abdul Rahman Mohammed Al Ansari, M. Nivetha, B. Kiran Bala
Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy Icais 2023, 2023
Sentiment Analysis of Movie Review using Hybrid Optimization with Convolutional Neural Network in English Language
Vishal M. Tidake, Nilanjan Mazumdar, A. Suresh Kumar, B. Nageswara Rao, Gulnaz Fatma, I. Infant Raj, B. Kiran Bala
Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy Icais 2023, 2023
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
End-to-end security in embedded system for modern mobile communication technologies
D. Venu, Babu J, R. Saravanakumar, Ricardo Fernando Cosio Borda, Yousef Methkal Abd Algani, B. Kiran Bala
Measurement Sensors, 2022
Analyze the anomalous behavior of wireless networking using the big data analytics
Yousef Methkal Abd Algani, G Arul Freeda Vinodhini, K. Ruth Isabels, Chamandeep Kaur, Mark Treve, B. Kiran Bala, S. Balaji, G. Usha Devi
Measurement Sensors, 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
Performance evaluation of artificial neural networks in sustainable modelling biodiesel synthesis
Mark Treve, Indrajit Patra, P. Prabu, S. Rama Sree, N. Keerthi Kumar, Yousef Methkal Abd Algani, B. Kiran Bala, S. Balaji
Sustainable Energy Technologies and Assessments, 2022
Autonomous service for managing real time notification in detection of COVID-19 virus
Yousef Methkal Abd Algani, K. Boopalan, G Elangovan, D. Teja Santosh, K. Chanthirasekaran, Indrajit Patra, N. Pughazendi, B. Kiranbala, R. Nikitha, M. Saranya
Computers and Electrical Engineering, 2022
Autonomous detection of malevolent nodes using secure heterogeneous cluster protocol
C. Kotteeswaran, Indrajit Patra, Regonda Nagaraju, D. Sungeetha, Bapayya Naidu Kommula, Yousef Methkal Abd Algani, S. Murugavalli, B. Kiran Bala
Computers and Electrical Engineering, 2022
A decentralized autonomous personal data management system in banking sector
Dr. M Anna Gustina Zainal, Ricardo Fernando Cosio Borda, Yousef Methkal Abd Algani, Mr. Bhaskarrao Yakkala, Dr. S Sanjith, Iskandar Muda, T. Kalaichelvi, M. Mahendran, B. Kiran Bala
Computers and Electrical Engineering, 2022
Gaussian Naïve Bayes Algorithm: A Reliable Technique Involved in the Assortment of the Segregation in Cancer
M. Vijay Anand, B. KiranBala, S. R. Srividhya, Kavitha C., Mohammed Younus, Md Habibur Rahman
Mobile Information Systems, 2022
A Novel Methodology for Identifying the Tamil Character Recognition from Palm Leaf
B. Kiran Bala, I. Infant Raj
New Trends in Computational Vision and Bio Inspired Computing Selected Works Presented at the Iccvbic 2018 Coimbatore India, 2020
A Novel Methodology for Converting English Text into Objects
I. Infant Raj, B. Kiran Bala
New Trends in Computational Vision and Bio Inspired Computing Selected Works Presented at the Iccvbic 2018, 2020
A Novel Methodology for Identifying the Tamil Character Recognition from Palm Leaf
B. Kiran Bala, I. Infant Raj
New Trends in Computational Vision and Bio Inspired Computing Selected Works Presented at the Iccvbic 2018, 2020
A Novel Methodology for Converting English Text into Objects
I. Infant Raj, B. Kiran Bala
New Trends in Computational Vision and Bio Inspired Computing Selected Works Presented at the Iccvbic 2018 Coimbatore India, 2020
Enhanced palm vein recognition algorithm with equalizer technique
International Journal of Engineering and Advanced Technology, 2019
Comparative and identification of exact frequency domain approaches by using mammogram images
B. Kiran Bala, I. Infant Raj
IEEE International Conference on Power Control Signals and Instrumentation Engineering Icpcsi 2017, 2018
Identification of spectral graph wavelets for microcalcifications in mammogram images
B Kiran Bala, S Audithan
Indian Journal of Public Health Research and Development, 2018
Spectral Graph Wavelets for the Classification of Microcalcifications in Mammograms
B. Kiran Bala, S. Audithan
Proceedings 2nd IEEE International Conference on Smart Cloud Smartcloud 2017, 2017
The combination of steganography and cryptography for medical image applications
B. Kiran Bala, A. Bala Kumar
Biomedical and Pharmacology Journal, 2017
Enhanced Expressivity using Deontic Logic and Reuse Measure of Ontologies
L. Jegatha Deborah, R. Karthika, S. Audithan, B. Kiran Bala
Procedia Computer Science, 2015
Wavelet and curvelet analysis for the classification of microcalcifiaction using mammogram images
B. Kiran Bala, S. Audithan
2nd International Conference on Current Trends in Engineering and Technology Icctet 2014, 2014

Dr B Kiran Bala

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