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20232026
most citedUncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network

15 citations · 15 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

HiRo: A Compact Four-Directional Hierarchical Reservoir Token-Mixer for Efficient Image Classification

Md Farhadul Islam, Ishan Thakkar, J. Todd Hastings

Recent image classification models must balance local feature modeling, cross-window interaction, and parameter efficiency. Many high-performing architectures rely on fully trainab…

cs.CV2025

A Comparative Performance Analysis of Classification and Segmentation Models on Bangladeshi Pothole Dataset

Antara Firoz Parsa, S. M. Abdullah, Anika Hasan Talukder +4

The study involves a comprehensive performance analysis of popular classification and segmentation models, applied over a Bangladeshi pothole dataset, being developed by the author…

cs.CV2024

Spatially Optimized Compact Deep Metric Learning Model for Similarity Search

Md. Farhadul Islam, Md. Tanzim Reza, Meem Arafat Manab +3

Spatial optimization is often overlooked in many computer vision tasks. Filters should be able to recognize the features of an object regardless of where it is in the image. Simila…

cs.CV2024

Involution Fused ConvNet for Classifying Eye-Tracking Patterns of Children with Autism Spectrum Disorder

Md. Farhadul Islam, Meem Arafat Manab, Joyanta Jyoti Mondal +5

Autism Spectrum Disorder (ASD) is a complicated neurological condition which is challenging to diagnose. Numerous studies demonstrate that children diagnosed with autism struggle w…

cs.CV2023★ 15 cited

Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network

Joyanta Jyoti Mondal, Md. Farhadul Islam, Raima Islam +5

The prevalence and mobility of smartphones make these a widely used tool for environmental health research. However, their potential for determining aggregated air quality index (A…