most citedLeveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Revealing the Self: Brainwave-Based Human Trait Identification

Md Mirajul Islam, Md Nahiyan Uddin, Maoyejatun Hasana +5

People exhibit unique emotional responses. In the same scenario, the emotional reactions of two individuals can be either similar or vastly different. For instance, consider one pe…

eess.IV2024

Methods to Measure the Broncho-Arterial Ratio and Wall Thickness in the Right Lower Lobe for Defining Radiographic Reversibility of Bronchiectasis

Abhijith R. Beeravolu, Ian Brent Masters, Mirjam Jonkman +9

The diagnosis of bronchiectasis requires measuring abnormal bronchial dilation. It is confirmed using a chest CT scan, where the key feature is an increased broncho-arterial ratio…

eess.IV20243 cited

Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency

Niful Islam, Khan Md Hasib, Fahmida Akter Joti +2

Skin cancer is a major concern to public health, accounting for one-third of the reported cancers. If not detected early, the cancer has the potential for severe consequences. Reco…

cs.CV20232 cited

EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification

Niful Islam, Md. Mehedi Hasan Jony, Emam Hasan +3

Improper disposal of e-waste poses global environmental and health risks, raising serious concerns. The accurate classification of e-waste images is critical for efficient manageme…

cs.IR2023

Feature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset

Md. Rafi-Ur-Rashid, Sami Azam, Mirjam Jonkman

The selection of features for text classification is a fundamental task in text mining and information retrieval. Despite being the sixth most widely spoken language in the world,…