67 citations · 208 across the 23 of their papers we have counts for
24 papers
RBMatch: Dual-Level Class Rebalancing for Semi-Supervised Building Footprint Extraction
Akil Ahmad Taki, Shaikh Anowarul Fattah
Accurate building footprint extraction from high-resolution remote sensing imagery is essential for urban planning, disaster response, and environmental monitoring. However, obtain…
Variational Network with Wavelet-based UNET in Accelerated MRI Reconstruction from Under Sampled K-space Data
Yasir Arafat Prodhan, Shaikh Anowarul Fattah
Fully sampled MRI requires dense k-space acquisition, leading to long scan times, reduced clinical throughput, and increased sensitivity to patient motion. Accelerated MRI addresse…
Towards Explainable Skin Cancer Classification: A Dual-Network Attention Model with Lesion Segmentation and Clinical Metadata Fusion
Md. Enamul Atiq, Shaikh Anowarul Fattah
Skin cancer is a life-threatening disease where early detection significantly improves patient outcomes. Automated diagnosis from dermoscopic images is challenging due to high intr…
Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation
Chinmoy Biswas, Nafis Faisal, Vivek Chowdhury +5
Sparsity, defined as the presence of missing or zero values in a dataset, often poses a major challenge while operating on real-life datasets. Sparsity in features or target data o…
Selective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image Classification
Shaswata Mahernob Sarkar, Sheikh Iftekhar Ahmed, Jishnu Mahmud +2
Quantum Machine Learning (QML) has seen significant advancements, driven by recent improvements in Noisy Intermediate-Scale Quantum (NISQ) devices. Leveraging quantum principles su…
An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras
Md. Jahin Alam, Muhammad Zubair Hasan, Md Maisoon Rahman +8
Real time vehicle detection is a challenging task for urban traffic surveillance. Increase in urbanization leads to increase in accidents and traffic congestion in junction areas r…
Patch-Based End-to-End Quantum Learning Network for Reduction and Classification of Classical Data
Jishnu Mahmud, Shaikh Anowarul Fattah
In the noisy intermediate scale quantum (NISQ) era, the control over the qubits is limited due to the errors caused by quantum decoherence, crosstalk, and imperfect calibration. He…
SONICS: Synthetic Or Not -- Identifying Counterfeit Songs
Md Awsafur Rahman, Zaber Ibn Abdul Hakim, Najibul Haque Sarker +2
The recent surge in AI-generated songs presents exciting possibilities and challenges. These innovations necessitate the ability to distinguish between human-composed and synthetic…
Npix2Cpix: A GAN-Based Image-to-Image Translation Network With Retrieval- Classification Integration for Watermark Retrieval From Historical Document Images
Utsab Saha, Sawradip Saha, Shaikh Anowarul Fattah +1
The identification and restoration of ancient watermarks have long been a major topic in codicology and history. Classifying historical documents based on watermarks is challenging…
A Machine Learning Approach to Detect Customer Satisfaction From Multiple Tweet Parameters
Md Mahmudul Hasan, Shaikh Anowarul Fattah
Since internet technologies have advanced, one of the primary factors in company development is customer happiness. Online platforms have become prominent places for sharing review…
Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition
Utsab Saha, Sawradip Saha, Tahmid Kabir +2
A person's movement or relative positioning can be effectively captured by different types of sensors and corresponding sensor output can be utilized in various manipulative techni…
Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs
Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker +3
With the huge technological advances introduced by deep learning in audio & speech processing, many novel synthetic speech techniques achieved incredible realistic results. As thes…
Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer and NearFarMix Augmentation
Md Awsafur Rahman, Shaikh Anowarul Fattah
In computer vision, depth estimation is crucial for domains like robotics, autonomous vehicles, augmented reality, and virtual reality. Integrating semantics with depth enhances sc…
Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data
Jishnu Mahmud, Raisa Mashtura, Shaikh Anowarul Fattah +1
Quantum Machine Learning (QML) has come into the limelight due to the exceptional computational abilities of quantum computers. With the promises of near error-free quantum compute…
CIFF-Net: Contextual Image Feature Fusion for Melanoma Diagnosis
Md Awsafur Rahman, Bishmoy Paul, Tanvir Mahmud +1
Melanoma is considered to be the deadliest variant of skin cancer causing around 75\% of total skin cancer deaths. To diagnose Melanoma, clinicians assess and compare multiple skin…
DwinFormer: Dual Window Transformers for End-to-End Monocular Depth Estimation
Md Awsafur Rahman, Shaikh Anowarul Fattah
Depth estimation from a single image is of paramount importance in the realm of computer vision, with a multitude of applications. Conventional methods suffer from the trade-off be…
ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image Detection
Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker +2
Synthetic image generation has opened up new opportunities but has also created threats in regard to privacy, authenticity, and security. Detecting fake images is of paramount impo…
A Novel Hierarchical-Classification-Block Based Convolutional Neural Network for Source Camera Model Identification
Mohammad Zunaed, Shaikh Anowarul Fattah
Digital security has been an active area of research interest due to the rapid adaptation of internet infrastructure, the increasing popularity of social media, and digital cameras…
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network
Tanvir Mahmud, A. Q. M. Sazzad Sayyed, Shaikh Anowarul Fattah +1
Deep neural network is an effective choice to automatically recognize human actions utilizing data from various wearable sensors. These networks automate the process of feature ext…
Automatic Diagnosis of Malaria from Thin Blood Smear Images using Deep Convolutional Neural Network with Multi-Resolution Feature Fusion
Tanvir Mahmud, Shaikh Anowarul Fattah
Malaria, a life-threatening disease, infects millions of people every year throughout the world demanding faster diagnosis for proper treatment before any damages occur. In this pa…
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans
Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah +1
Automatic lung lesions segmentation of chest CT scans is considered a pivotal stage towards accurate diagnosis and severity measurement of COVID-19. Traditional U-shaped encoder-de…
SPECMAR: Fast Heart Rate Estimation from PPG Signal using a Modified Spectral Subtraction Scheme with Composite Motion Artifacts Reference Generation
Mohammad Tariqul Islam, Sk. Tanvir Ahmed, Celia Shahnaz +1
The task of heart rate estimation using photoplethysmographic (PPG) signal is challenging due to the presence of various motion artifacts in the recorded signals. In this paper, a…
A Time-Frequency Domain Approach of Heart Rate Estimation From Photoplethysmographic (PPG) Signal
Mohammad Tariqul Islam, Ishmam Zabir, Sk. Tanvir Ahamed +3
Objective- Heart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The…
A Face Recognition Scheme using Wavelet Based Dominant Features
Hafiz Imtiaz, Shaikh Anowarul Fattah
In this paper, a multi-resolution feature extraction algorithm for face recognition is proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently expl…