13 citations · 34 across the 8 of their papers we have counts for
8 papers
Beyond Participant-Level Cross-Validation: Reliable Inference for Longitudinal Machine Learning
Shahran Rahman Alve
Longitudinal sensing studies routinely collect thousands of windows from a few dozen participants. The records are numerous; the independent scientific units are not. When the outc…
Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis
Farhana Elias, Md Shihab Reza, Muhammad Zawad Mahmud +2
The present research tackles the difficulty of predicting osteoporosis risk via machine learning (ML) approaches, emphasizing the use of explainable artificial intelligence (XAI) t…
Smart IoT Security: Lightweight Machine Learning Techniques for Multi-Class Attack Detection in IoT Networks
Shahran Rahman Alve, Muhammad Zawad Mahmud, Samiha Islam +2
The Internet of Things (IoT) is expanding at an accelerated pace, making it critical to have secure networks to mitigate a variety of cyber threats. This study addresses the limita…
Optimized IoT Intrusion Detection using Machine Learning Technique
Muhammad Zawad Mahmud, Samiha Islam, Shahran Rahman Alve +1
An application of software known as an Intrusion Detection System (IDS) employs machine algorithms to identify network intrusions. Selective logging, safeguarding privacy, reputati…
Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
Samiha Islam, Muhammad Zawad Mahmud, Shahran Rahman Alve +2
The goal of the present study is to analyze an application of deep learning models in order to augment the diagnostic performance of oral squamous cell carcinoma (OSCC) with a long…
Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking
Shahran Rahman Alve
This project aims to develop a robust video surveillance system, which can segment videos into smaller clips based on the detection of activities. It uses CCTV footage, for example…
Sdn Intrusion Detection Using Machine Learning Method
Muhammad Zawad Mahmud, Shahran Rahman Alve, Samiha Islam +1
Software-defined network (SDN) is a new approach that allows network control to become directly programmable, and the underlying infrastructure can be abstracted from applications…
Chronic Obstructive Pulmonary Disease Prediction Using Deep Convolutional Network
Shahran Rahman Alve, Muhammad Zawad Mahmud, Samiha Islam +1
Artificial intelligence and deep learning are increasingly applied in the clinical domain, particularly for early and accurate disease detection using medical imaging and sound. Du…