Md. Golam Rabiul Alam
Orcid: 0000-0002-9054-7557
According to our database1,
Md. Golam Rabiul Alam
authored at least 113 papers
between 2009 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
A Resource-Efficient Federated Learning Framework for Intrusion Detection in IoMT Networks.
IEEE Trans. Consumer Electron., May, 2025
SN Comput. Sci., January, 2025
Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach.
J. Biomed. Informatics, 2025
An autoencoder-based confederated clustering leveraging a robust model fusion strategy for federated unsupervised learning.
Inf. Fusion, 2025
A Real-Time ETP Outlet Monitoring Framework Leveraging Environmental IoT, Colorimetry, and Learning Theory.
IEEE Access, 2025
AUNET (Attention-Based Unified Network): Leveraging Attention-Based N-BEATS for Enhanced Univariate Time Series Forecasting.
IEEE Access, 2025
BFER-Net: Babies Facial Expression Recognition Model Using ResNet12 Enabled Few-Shot Embedding Adaptation and Convolutional Block Attention Modules.
IEEE Access, 2025
Proceedings of the 13th International Symposium on Digital Forensics and Security, 2025
Optimizing Multimodal Transformers for Medical Image Captioning: Enhancing Automated Descriptions via AI Systems.
Proceedings of the 6th IEEE International Conference on Image Processing, 2025
Enhancing Alzheimer's Diagnosis with Pre-trained Embeddings and Attention Mechanisms.
Proceedings of the 2025 8th International Conference on Software Engineering and Information Management, 2025
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
2024
Cognitive Behavior-in-the-Loop: Towards an Attentive Driving in Intelligent Transportation Systems.
IEEE Trans. Ind. Informatics, December, 2024
PLD-Det: plant leaf disease detection in real time using an end-to-end neural network approach based on improved YOLOv7.
Neural Comput. Appl., December, 2024
IEEE Trans. Comput. Soc. Syst., August, 2024
An advanced data fabric architecture leveraging homomorphic encryption and federated learning.
Inf. Fusion, February, 2024
Unveiling personality traits through Bangla speech using Morlet wavelet transformation and BiG.
Nat. Lang. Process. J., 2024
A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators.
ICT Express, 2024
A sustainable Bitcoin blockchain network through introducing dynamic block size adjustment using predictive analytics.
Future Gener. Comput. Syst., 2024
Increasing embedding capacity of stego images by exploiting edge pixels in prediction error space.
Cyber Secur. Appl., 2024
An Extensive Study on D2C: Overfitting Remediation in Deep Learning Using a Decentralized Approach.
CoRR, 2024
Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation.
CoRR, 2024
Automated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation.
CoRR, 2024
Transforming Precision: A Comparative Analysis of Vision Transformers, CNNs, and Traditional ML for Knee Osteoarthritis Severity Diagnosis.
CoRR, 2024
A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model.
CoRR, 2024
ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry.
IEEE Access, 2024
IEEE Access, 2024
IEEE Access, 2024
ROBB: Recurrent Proximal Policy Optimization Reinforcement Learning for Optimal Block Formation in Bitcoin Blockchain Network.
IEEE Access, 2024
Proceedings of the Computational Science and Its Applications - ICCSA 2024, 2024
Enhancing Intrusion Detection: A Robust Ensemble Learning Approach with Explainable AI and Strategic Fused Voting-Stacking Mechanism.
Proceedings of the 3rd International Conference on Computing Advancements, 2024
Divide2Conquer (D2C): A Decentralized Approach Towards Overfitting Remediation in Deep Learning.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Demystifying machine learning models of massive IoT attack detection with Explainable AI for sustainable and secure future smart cities.
Internet Things, December, 2023
Future Gener. Comput. Syst., December, 2023
Multim. Tools Appl., September, 2023
Human-Behavior-Based Personalized Meal Recommendation and Menu Planning Social System.
IEEE Trans. Comput. Soc. Syst., August, 2023
Feature Cloning and Feature Fusion Based Transportation Mode Detection Using Convolutional Neural Network.
IEEE Trans. Intell. Transp. Syst., April, 2023
Explainable indoor localization of BLE devices through RSSI using recursive continuous wavelet transformation and XGBoost classifier.
Future Gener. Comput. Syst., April, 2023
UAV Assisted Cooperative Caching on Network Edge Using Multi-Agent Actor-Critic Reinforcement Learning.
IEEE Trans. Veh. Technol., February, 2023
J. Supercomput., 2023
Combining machine learning and effective feature selection for real-time stock trading in variable time-frames.
Int. J. Comput. Sci. Eng., 2023
SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification.
CoRR, 2023
Connected Hidden Neurons (CHNNet): An Artificial Neural Network for Rapid Convergence.
CoRR, 2023
Malicious Data Classification in Packet Data Network Through Hybrid Meta Deep Learning.
IEEE Access, 2023
Deep Learning Based Fusion Model for Multivariate LTE Traffic Forecasting and Optimized Radio Parameter Estimation.
IEEE Access, 2023
EMPOLITICON: NLP and ML Based Approach for Context and Emotion Classification of Political Speeches From Transcripts.
IEEE Access, 2023
Diagnosing Prostate Cancer: An Implementation of Deep Machine Learning Fusion Network in MRI Using a Transfer Learning Approach.
Proceedings of the 2023 6th International Conference on Software Engineering and Information Management, 2023
Forecasting Meteorological Solar Irradiation Using Machine Learning and N-BEATS Architecture.
Proceedings of the 8th International Conference on Machine Learning Technologies, 2023
Electroencephalogram-based Emotion Recognition with Hybrid Graph Convolutional Network Model.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023
A Comparative Study of Machine Learning Classifiers for Speaker's Accent Recognition.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
Explainable AI based Maternal Health Risk Prediction using Machine Learning and Deep Learning.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
2022
An Industry-4.0-Complaint Sustainable Bitcoin Model Through Optimized Transaction Selection and Sustainable Block Integration.
IEEE Trans. Ind. Informatics, 2022
Understanding the impact on convolutional neural networks with different model scales in AIoT domain.
J. Parallel Distributed Comput., 2022
Shapley-Additive-Explanations-Based Factor Analysis for Dengue Severity Prediction using Machine Learning.
J. Imaging, 2022
Sketch2FullStack: Generating Skeleton Code of Full Stack Website and Application from Sketch using Deep Learning and Computer Vision.
CoRR, 2022
Yield Response of Different Rice Ecotypes to Meteorological, Agro-Chemical, and Soil Physiographic Factors for Interpretable Precision Agriculture Using Extreme Gradient Boosting and Support Vector Regression.
Complex., 2022
Appraisal of high-stake examinations during SARS-CoV-2 emergency with responsible and transparent AI: Evidence of fair and detrimental assessment.
Comput. Educ. Artif. Intell., 2022
Toxic Voice Classification Implementing CNN-LSTM & Employing Supervised Machine Learning Algorithms Through Explainable AI-SHAP.
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2022
Deep Learning Based Predictive Analytics for Decentralized Content Caching in Hierarchical Edge Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Classification Accuracy Comparison between Machine Learning Algorithms and a Deep Learning Algorithm in Predicting Hand Gestures.
Proceedings of the 32nd Conference of Open Innovations Association, 2022
A Machine Learning and Explainable AI Approach for Predicting Secondary School Student Performance.
Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022
Detecting Self-Esteem Level and Depressive Indication Due to Different Parenting Style Using Supervised Learning Techniques.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022
Deep Learning Autoencoder based Anomaly Detection Model on 4G Network Performance Data.
Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022
2021
Double Deep Q-Learning and Faster R-CNN-Based Autonomous Vehicle Navigation and Obstacle Avoidance in Dynamic Environment.
Sensors, 2021
Demystifying Deep Learning Models for Retinal OCT Disease Classification using Explainable AI.
CoRR, 2021
Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction.
CoRR, 2021
Affective State Recognition through EEG Signals Feature Level Fusion and Ensemble Classifier.
CoRR, 2021
Queueing Theory Based Vehicular Traffic Management System Through Jackson Network Model and Optimization.
IEEE Access, 2021
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021
An Analysis of Machine Learning Algorithms and Deep Neural Networks for Email Spam Classification using Natural Language Processing.
Proceedings of the 2021 IEEE International Conference on Service Operations and Logistics, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System.
CoRR, 2020
Proceedings of the 2020 International Conference on Information Networking, 2020
Reinforcement Learning based Autonomous Vehicle for Exploration and Exploitation of Undiscovered Track.
Proceedings of the 2020 International Conference on Information Networking, 2020
2019
Resource Allocation for Ultra-Reliable and Enhanced Mobile Broadband IoT Applications in Fog Network.
IEEE Trans. Commun., 2019
Edge-of-things computing framework for cost-effective provisioning of healthcare data.
J. Parallel Distributed Comput., 2019
Int. Arab J. Inf. Technol., 2019
Future Gener. Comput. Syst., 2019
Threshold Estimation Models for Linear Threshold-Based Influential User Mining in Social Networks.
IEEE Access, 2019
Knapsack-Based Reverse Influence Maximization for Target Marketing in Social Networks.
IEEE Access, 2019
Healthcare IoT-Based Affective State Mining Using a Deep Convolutional Neural Network.
IEEE Access, 2019
2018
Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018
Proceedings of the 2018 International Conference on Information Networking, 2018
2017
Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017
Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017
2016
IEEE Trans. Ind. Informatics, 2016
Web of Objects Based Ambient Assisted Living Framework for Emergency Psychiatric State Prediction.
Sensors, 2016
An overlapping coalition formation approach to maximize payoffs in cloud computing environment.
Proceedings of the 2016 International Conference on Information Networking, 2016
Proceedings of the 2016 International Conference on Information Networking, 2016
Proceedings of the 18th Asia-Pacific Network Operations and Management Symposium, 2016
2015
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015
A proximal algorithm for joint resource allocation and minimizing carbon footprint in geo-distributed fog computing.
Proceedings of the 2015 International Conference on Information Networking, 2015
Proceedings of the 2015 International Conference on Information Networking, 2015
Proceedings of the IEEE International Conference on Consumer Electronics, 2015
Proceedings of the 17th Asia-Pacific Network Operations and Management Symposium, 2015
2014
Cloud based mental state monitoring system for suicide risk reconnaissance using wearable bio-sensors.
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, 2014
Proceedings of the 16th Asia-Pacific Network Operations and Management Symposium, 2014
2012
CoRR, 2012
A Reliable Semi-Distributed Load Balancing Architecture of Heterogeneous Wireless Networks
CoRR, 2012
Proceedings of the 14th Asia-Pacific Network Operations and Management Symposium, 2012
2009
J. Convergence Inf. Technol., 2009