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20162026
most citedInterpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning

29 citations · 47 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet

Radib Bin Kabir, Tawsif Tashwar Dipto, Mehedi Ahamed +2

Spiking Neural Networks (SNNs) are increasingly studied as energy-efficient alternatives to Convolutional Neural Networks (CNNs), particularly for edge intelligence. However, prior…

cs.CV2025

Enhanced Graph Convolutional Network with Chebyshev Spectral Graph and Graph Attention for Autism Spectrum Disorder Classification

Adnan Ferdous Ashrafi, Hasanul Kabir

ASD is a complicated neurodevelopmental disorder marked by variation in symptom presentation and neurological underpinnings, making early and objective diagnosis extremely problema…

cs.CV2025

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data

Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed +1

While deep learning-based architectures have been widely used for correctly detecting and classifying plant diseases, they require large-scale datasets to learn generalized feature…

cs.CV20259 cited

Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition

Mehedi Ahamed, Radib Bin Kabir, Tawsif Tashwar Dipto +3

This study investigates the performance of few-shot learning (FSL) approaches in recognizing Bangla handwritten characters and numerals using limited labeled data. It demonstrates…

cs.CV2024

FUSED-Net: Detecting Traffic Signs with Limited Data

Md. Atiqur Rahman, Nahian Ibn Asad, Md. Mushfiqul Haque Omi +3

Automatic Traffic Sign Recognition is paramount in modern transportation systems, motivating several research endeavors to focus on performance improvement by utilizing large-scale…

cs.CV2021

Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM

Zahidul Islam, Mohammad Rukonuzzaman, Raiyan Ahmed +2

Automatically detecting violence from surveillance footage is a subset of activity recognition that deserves special attention because of its wide applicability in unmanned securit…