13 citations · 33 across the 9 of their papers we have counts for
9 papers
Systematic Evaluation of Novel View Synthesis for Video Place Recognition
Muhammad Zawad Mahmud, Samiha Islam, Damian Lyons
The generation of synthetic novel views has the potential to positively impact robot navigation in several ways. In image-based navigation, a novel overhead view generated from a s…
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…
Enhancing Multi-Class Disease Classification: Neoplasms, Cardiovascular, Nervous System, and Digestive Disorders Using Advanced LLMs
Ahmed Akib Jawad Karim, Muhammad Zawad Mahmud, Samiha Islam +1
In this research, we explored the improvement in terms of multi-class disease classification via pre-trained language models over Medical-Abstracts-TC-Corpus that spans five medica…
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…
Advanced Vision Transformers and Open-Set Learning for Robust Mosquito Classification: A Novel Approach to Entomological Studies
Ahmed Akib Jawad Karim, Muhammad Zawad Mahmud, Riasat Khan
Mosquito-related diseases pose a significant threat to global public health, necessitating efficient and accurate mosquito classification for effective surveillance and control. Th…