195 citations · 460 across the 17 of their papers we have counts for
18 papers
CondMSP: Condition-Informed and Resource-Aware Inorganic Materials Synthesis Planning
Heewoong Noh, Gyoung S. Na, Elton Pan +2
Materials synthesis planning (MSP) connects AI-driven materials discovery to experimental realization by proposing precursors, synthesis operations, and processing conditions for a…
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…
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…
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…
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…
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…
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net
Akib Mohammed Khan, Alif Ashrafee, Fahim Shahriar Khan +2
Manually inspecting polyps from a colonoscopy for colorectal cancer or performing a biopsy on skin lesions for skin cancer are time-consuming, laborious, and complex procedures. Au…
Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning
Tanveer Ahmed Belal, G. M. Shahariar, Md. Hasanul Kabir
This paper presents a deep learning-based pipeline for categorizing Bengali toxic comments, in which at first a binary classification model is used to determine whether a comment i…
Performance Analysis of YOLO-based Architectures for Vehicle Detection from Traffic Images in Bangladesh
Refaat Mohammad Alamgir, Ali Abir Shuvro, Mueeze Al Mushabbir +5
The task of locating and classifying different types of vehicles has become a vital element in numerous applications of automation and intelligent systems ranging from traffic surv…
Huruf: An Application for Arabic Handwritten Character Recognition Using Deep Learning
Minhaz Kamal, Fairuz Shaiara, Chowdhury Mohammad Abdullah +3
Handwriting Recognition has been a field of great interest in the Artificial Intelligence domain. Due to its broad use cases in real life, research has been conducted widely on it.…
Land Cover and Land Use Detection using Semi-Supervised Learning
Fahmida Tasnim Lisa, Md. Zarif Hossain, Sharmin Naj Mou +2
Semi-supervised learning (SSL) has made significant strides in the field of remote sensing. Finding a large number of labeled datasets for SSL methods is uncommon, and manually lab…
In Pursuit of Many: A Review of Modern Multiple Object Tracking Systems
Mk Bashar, Samia Islam, Kashifa Kawaakib Hussain +3
Multiple Object Tracking (MOT) is a core capability in modern computer vision, essential to autonomous driving, surveillance, sports analytics, robotics, and biomedical imaging. Pe…
Two Decades of Bengali Handwritten Digit Recognition: A Survey
A. B. M. Ashikur Rahman, Md. Bakhtiar Hasan, Sabbir Ahmed +4
Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of Optical Character Recognition (OCR). Irrespective of language, there are some inherent cha…
HEATGait: Hop-Extracted Adjacency Technique in Graph Convolution based Gait Recognition
Md. Bakhtiar Hasan, Tasnim Ahmed, Md. Hasanul Kabir
Biometric authentication using gait has become a promising field due to its unobtrusive nature. Recent approaches in model-based gait recognition techniques utilize spatio-temporal…
Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed +2
To ensure global food security and the overall profit of stakeholders, the importance of correctly detecting and classifying plant diseases is paramount. In this connection, the em…
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…
Improving Action Quality Assessment using Weighted Aggregation
Shafkat Farabi, Hasibul Himel, Fakhruddin Gazzali +3
Action quality assessment (AQA) aims at automatically judging human action based on a video of the said action and assigning a performance score to it. The majority of works in the…
Human Computer Interaction Using Marker Based Hand Gesture Recognition
Sayem Mohammad Siam, Jahidul Adnan Sakel, Md. Hasanul Kabir
Human Computer Interaction (HCI) has been redefined in this era. People want to interact with their devices in such a way that has physical significance in the real world, in other…