output
20102026
most citedA Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications

174 citations

49 papers

cs.CV2026★ 10 cited

Systematic Literature Review of Machine Learning Models and Applications for Text Recognition

Nuzhat Khan, Ab Al-Hadi Ab Rahman, Shahriyar Masud Rizvi +5

Optical Character Recognition (OCR) for text recognition using machine vision has significantly improved, particularly when handling heterogeneous textual data. Traditional OCR mod…

cs.AI2026

A Clustering-Based Framework for Identifying Suspicious Trading Patterns in Capital Market

Asif Zaman, Romona Magdalene Sarkar, Sabiha Khair Ohi +1

Market manipulation is the dubious practice of manipulating stock prices in order to make a quick profit, which truly degrades confidence on trading platforms. We implemented an un…

cs.AI2026★ 2 cited

HyCARD-Net: A Synergistic Hybrid Intelligence Framework for Cardiovascular Disease Diagnosis

Rajan Das Gupta, Xiaobin Wu, Xun Liu +1

Cardiovascular disease (CVD) remains the foremost cause of mortality worldwide, underscoring the urgent need for intelligent and data-driven diagnostic tools. Traditional predictiv…

cs.CL2026

Cross-Lingual Probing and Community-Grounded Analysis of Gender Bias in Low-Resource Bengali

Md Asgor Hossain Reaj, Rajan Das Gupta, Jui Saha Pritha +4

Large Language Models (LLMs) have achieved significant success in recent years; yet, issues of intrinsic gender bias persist, especially in non-English languages. Although current…

cs.CR2025★ 10 cited

A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks

Md. Alamgir Hossain, Waqas Ishtiaq, Md. Samiul Islam

The growing integration of drones into civilian, commercial, and defense sectors introduces significant cybersecurity concerns, particularly with the increased risk of network-base…

cs.LG2025

AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing

Md Abrar Jahin, Taufikur Rahman Fuad, M. F. Mridha +2

Federated Learning (FL) faces inherent challenges in balancing model performance, privacy preservation, and communication efficiency, especially in non-IID decentralized environmen…