Mohamed Abdur Rahman
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
LAAF: Logic-layer Automated Attack Framework A Systematic Red-Teaming Methodology for LPCI Vulnerabilities in Agentic Large Language Model Systems.
CoRR, March, 2026
Learning to Weigh Waste: A Physics-Informed Multimodal Fusion Framework and Large-Scale Dataset for Commercial and Industrial Applications.
CoRR, March, 2026
Hallucination to truth: a review of fact-checking and factuality evaluation in large language models.
Artif. Intell. Rev., February, 2026
From language to action: a review of large language models as autonomous agents and tool users.
Artif. Intell. Rev., February, 2026
A Source-Free Approach for Domain Adaptation via Multiview Image Transformation and Latent Space Consistency.
CoRR, January, 2026
Quantitative Measurement of Parkinson Disease Progression Using DaTscan Radiomics and Clinical Features With a Machine Learning-Based Approach.
Int. J. Intell. Syst., 2026
Bridging Data Silos in Corporate Governance: A Hierarchical Stacking Ensemble With Federated Dynamic Aggregation.
Appl. Comput. Intell. Soft Comput., 2026
Privacy-Preserving ESG Risk Prediction via Federated Hybrid Neural-Boosting Ensembles.
IEEE Access, 2026
2025
A dual-stage framework for cardiovascular abnormalities diagnosis from ECG signals using CA-GNN and semi-supervised autoencoders.
Signal Image Video Process., December, 2025
ReFRM3D: A Radiomics-enhanced Fused Residual Multiparametric 3D Network with Multi-Scale Feature Fusion for Glioma Characterization.
CoRR, December, 2025
WeCKD: Weakly-supervised Chained Distillation Network for Efficient Multimodal Medical Imaging.
CoRR, October, 2025
ARIONet: An Advanced Self-supervised Contrastive Representation Network for Birdsong Classification and Future Frame Prediction.
CoRR, October, 2025
A Fine-Grained Attention and Geometric Correspondence Model for Musculoskeletal Risk Classification in Athletes Using Multimodal Visual and Skeletal Features.
CoRR, September, 2025
CoRR, August, 2025
HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging.
CoRR, July, 2025
Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms.
CoRR, February, 2025
Diffusion-based knowledge distillation for effective multi-organ segmentation with reduced computational time.
Comput. Biol. Medicine, 2025
Advancing skin cancer detection integrating a novel unsupervised classification and enhanced imaging techniques.
CAAI Trans. Intell. Technol., 2025
IEEE Access, 2025
SmolLab_SEU at MAHED Shared Task: Do Arabic-Native Encoders Surpass Multilingual Models in Detecting the Nuances of Hope, Hate, and Emotion?
Proceedings of The Third Arabic Natural Language Processing Conference: ArabicNLP 2025, 2025
TFIDF to LLMs: A Comparative Analysis of Bengali Text Summarization Approaches and Techniques.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025
SmolLab_SEU at CheckThat! 2025: How Well Do Multilingual Transformers Transfer Across News Domains for Cross-lingual Subjectivity Detection?
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025
SmolLab_SEU at BEA 2025 Shared Task: A Transformer-Based Framework for Multi-Track Pedagogical Evaluation of AI-Powered Tutors.
Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025
2024
Exploiting Clock-Slew Dependent Variability in CMOS Digital Circuits Towards Power and EM SCA Resilience.
IACR Cryptol. ePrint Arch., 2024
A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text Summarization.
CoRR, 2024
2023
A Survey on Security and Privacy of Multimodal LLMs - Connected Healthcare Perspective.
Proceedings of the IEEE Globecom Workshops 2023, 2023
Power and EM SCA Resilience in 65nm AES-256 Exploiting Clock-Slew Dependent Variability in CMOS Digital Circuits.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023
2020
Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers.
CoRR, 2020
State of the Art of Solid-State Transformers: Advanced Topologies, Implementation Issues, Recent Progress and Improvements.
IEEE Access, 2020
Analyzing Web Application Vulnerabilities: An Empirical Study on E-Commerce Sector in Bangladesh.
Proceedings of the ICCA 2020: International Conference on Computing Advancements, 2020
2019
Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers.
CoRR, 2019
Classifying non-functional requirements using RNN variants for quality software development.
Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2019
2018
Advanced Control Strategies of VSC Based HVDC Transmission System: Issues and Potential Recommendations.
IEEE Access, 2018
2016
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016
Demo Abstract: Gesture-Based Cyber-Physical In-Home Therapy System in a Big Data Environment.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016
2014
Proceedings of the 2014 IEEE International Symposium on Medical Measurements and Applications, 2014
2013
Emotion-Based Mashup for Social Media Contents.
Proceedings of the 19th International Conference on Distributed Multimedia Systems, 2013
2010