Muhammad Zawad Mahmud
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View article: Interpretable Machine Learning for Osteoporosis Risk: A Comparative Evaluation of Predictive Models and XAI Analysis
Interpretable Machine Learning for Osteoporosis Risk: A Comparative Evaluation of Predictive Models and XAI Analysis Open
The present research tackles the difficulty of predicting osteoporosis risk via machine learning (ML) approaches, emphasizing the use of explainable artificial intelligence (XAI) to improve model transparency. Osteoporosis is a significant…
View article: Smart IoT Security: Lightweight Machine Learning Techniques for Multi-Class Attack Detection in IoT Networks
Smart IoT Security: Lightweight Machine Learning Techniques for Multi-Class Attack Detection in IoT Networks Open
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 limitation of multi-class attack detection of IoT devices and pre…
View article: Chronic Obstructive Pulmonary Disease Prediction Using Deep Convolutional Network
Chronic Obstructive Pulmonary Disease Prediction Using Deep Convolutional Network Open
Artificial intelligence and deep learning are increasingly applied in the clinical domain, particularly for early and accurate disease detection using medical imaging and sound. Due to limited trained personnel, there is a growing demand f…
View article: Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies
Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies Open
Mosquito-related diseases pose a significant threat to global public health, necessitating efficient and accurate mosquito classification for effective surveillance and control. This work presents an innovative approach to mosquito classif…
View article: Advance Transfer Learning Approach for Identification of Multiclass Skin Disease with LIME Explainable AI Technique
Advance Transfer Learning Approach for Identification of Multiclass Skin Disease with LIME Explainable AI Technique Open
In dermatological diagnosis, accurately and appropriately classifying skin diseases is crucial for timely treatment, thereby improving patient outcomes. Our goal is to develop transfer learning models that can detect skin disease from imag…
View article: Optimized IoT Intrusion Detection using Machine Learning Technique
Optimized IoT Intrusion Detection using Machine Learning Technique Open
An application of software known as an Intrusion Detection System (IDS) employs machine algorithms to identify network intrusions. Selective logging, safeguarding privacy, reputation-based defense against numerous attacks, and dynamic resp…
View article: Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique Open
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 longitudinal cohort study using the Histopathological Imaging D…
View article: Enhancing Multi-Class Disease Classification: Neoplasms, Cardiovascular, Nervous System, and Digestive Disorders Using Advanced LLMs
Enhancing Multi-Class Disease Classification: Neoplasms, Cardiovascular, Nervous System, and Digestive Disorders Using Advanced LLMs Open
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 medical conditions. We excluded non-cancer conditions and examine…
View article: A Time Series Analysis for Predicting Rainfall in Bangladesh Using Machine Learning and Historical Data
A Time Series Analysis for Predicting Rainfall in Bangladesh Using Machine Learning and Historical Data Open
View article: Sdn Intrusion Detection Using Machine Learning Method
Sdn Intrusion Detection Using Machine Learning Method Open
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 and network services. Control plane). When it comes to secu…
View article: Chronic Obstructive Pulmonary Disease Prediction Using Deep Convolutional Network
Chronic Obstructive Pulmonary Disease Prediction Using Deep Convolutional Network Open
Artificial intelligence and deep learning are increasingly applied in the clinical domain, particularly for early and accurate disease detection using medical imaging and sound. Due to limited trained personnel, there is a growing demand f…
View article: Optimized Malaria Identification through Transfer Learning Appoach
Optimized Malaria Identification through Transfer Learning Appoach Open
View article: Advanced Vision Transformers and Open-Set Learning for Robust Mosquito Classification: A Novel Approach to Entomological Studies
Advanced Vision Transformers and Open-Set Learning for Robust Mosquito Classification: A Novel Approach to Entomological Studies Open
Mosquito-related diseases pose a significant threat to global public health, necessitating efficient and accurate mosquito classification for effective surveillance and control. This work presents an innovative approach to mosquito classif…