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20242026
most citedOptimized IoT Intrusion Detection using Machine Learning Technique

13 citations · 33 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CR2024★ 13 cited

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…

eess.IV2024★ 11 cited

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…

cs.CL2024

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…

cs.CR2024★ 2 cited

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…

eess.IV2024★ 1 cited

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…