activity
20242026
collaborators

6 papers

cs.CY2026

Who Gets Access? Global Region and Academic Status Bias in AI-Generated Academic Gatekeeping Scenarios

Nouar AlDahoul, Hezerul Abdul Karim, Myles Joshua Toledo Tan

Equitable access to scientific knowledge often depends on informal gatekeeping decisions, particularly when resources such as paywalled articles, datasets, or professional material…

cs.CV2026

Fine-tuned Vision Language Model for Localization of Parasitic Eggs in Microscopic Images

Chan Hao Sien, Hezerul Abdul Karim, Nouar AlDahoul

Soil-transmitted helminth (STH) infections continuously affect a large proportion of the global population, particularly in tropical and sub-tropical regions, where access to speci…

cs.CR2026

Semantic-Aware Advanced Persistent Threat Detection Using Autoencoders on LLM-Encoded System Logs

Waleed Khan Mohammed, Zahirul Arief Irfan Bin Shahrul Anuar, Mousa Sufian Mousa Mitani +2

Advanced Persistent Threats (APTs) are among the most challenging cyberattacks to detect. They are carried out by highly skilled attackers who carefully study their targets and ope…

cs.CV2025

Effect of Activation Function and Model Optimizer on the Performance of Human Activity Recognition System Using Various Deep Learning Models

Subrata Kumer Paula, Dewan Nafiul Islam Noora, Rakhi Rani Paula +5

Human Activity Recognition (HAR) plays a vital role in healthcare, surveillance, and innovative environments, where reliable action recognition supports timely decision-making and…

cs.CV2025

Brain Tumor Classification from MRI Scans via Transfer Learning and Enhanced Feature Representation

Ahta-Shamul Hoque Emran, Hafija Akter, Abdullah Al Shiam +4

Brain tumors are abnormal cell growths in the central nervous system (CNS), and their timely detection is critical for improving patient outcomes. This paper proposes an automatic…

cs.ET2025

Empowering the Grid: Collaborative Edge Artificial Intelligence for Decentralized Energy Systems

Eddie de Paula, Niel Bunda, Hezerul Abdul Karim +2

This paper examines how decentralized energy systems can be enhanced using collaborative Edge Artificial Intelligence. Decentralized grids use local renewable sources to reduce tra…