Ayush Roy
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View article: JUHCCR-v1: a database for hand-drawn electrical and electronics circuit component recognition
JUHCCR-v1: a database for hand-drawn electrical and electronics circuit component recognition Open
View article: Exploring Organizational Strategies in Immersive Computational Notebooks
Exploring Organizational Strategies in Immersive Computational Notebooks Open
Computational notebooks, which integrate code, documentation, tags, and visualizations into a single document, have become increasingly popular for data analysis tasks. With the advent of immersive technologies, these notebooks have evolve…
View article: Facial Emotion Recognition Based Real Time Learner Engagement Detection System
Facial Emotion Recognition Based Real Time Learner Engagement Detection System Open
View article: A novel domain independent scene text localizer
A novel domain independent scene text localizer Open
View article: A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion Open
Skin cancer is a highly dangerous type of cancer that requires an accurate diagnosis from experienced physicians. To help physicians diagnose skin cancer more efficiently, a computer-aided diagnosis (CAD) system can be very helpful. In thi…
View article: FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays
FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays Open
Pneumonia is a respiratory infection caused by bacteria, fungi, or viruses. It affects many people, particularly those in developing or underdeveloped nations with high pollution levels, unhygienic living conditions, overcrowding, and insu…
View article: A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images
A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images Open
Deep learning and computer vision methods are nowadays predominantly used in the field of ophthalmology. In this paper, we present an attention-aided DenseNet-121 for classifying normal and glaucomatous eyes from fundus images. It involves…
View article: GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation
GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation Open
Breast cancer is a major global health concern. Pathologists face challenges in analyzing complex features from pathological images, which is a time-consuming and labor-intensive task. Therefore, efficient computer-based diagnostic tools a…
View article: AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images
AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images Open
Accurate nuclei segmentation in histopathological images is crucial for cancer diagnosis. Automating this process offers valuable support to clinical experts, as manual annotation is time-consuming and prone to human errors. However, autom…
View article: DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images
DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images Open
Breast cancer remains a critical global concern, underscoring the urgent need for early detection and accurate diagnosis to improve survival rates among women. Recent developments in deep learning have shown promising potential for compute…
View article: An Attention-Based Fusion of ResNet50 and InceptionV3 Model for Water Meter Digit Recognition
An Attention-Based Fusion of ResNet50 and InceptionV3 Model for Water Meter Digit Recognition Open
Digital water meter digit recognition from images of water meter readings is a challenging research problem. One key reason is that this might be a lack of publicly available datasets to develop such methods. Another reason is the digits s…
View article: A New Lightweight Attention-based Model for Emotion Recognition on Distorted Social Media Face Images
A New Lightweight Attention-based Model for Emotion Recognition on Distorted Social Media Face Images Open
The recognition of human emotions remains a challenging task for social media images. This is due to distortions created by different social media conflict with the minute changes in facial expression. This study presents a new model calle…
View article: A New Lightweight Attention-based Model for Emotion Recognition on Distorted Social Media Face Images
A New Lightweight Attention-based Model for Emotion Recognition on Distorted Social Media Face Images Open
The recognition of human emotions remains a challenging task for social media images. This is due to distortions created by different social media conflict with the minute changes in facial expression. This study presents a new model calle…
View article: A Robust SLIC-Based Approach for Segmentation Using Canny Edge Detector
A Robust SLIC-Based Approach for Segmentation Using Canny Edge Detector Open
An accurate image segmentation in noisy environment is complex and challenging. Unlike existing state-of-the-art methods that use superpixels for successful segmentation, we propose a new approach for noise-robust simple linear iterative c…
View article: Adapting a Swin Transformer for License Plate Number and Text Detection in Drone Images
Adapting a Swin Transformer for License Plate Number and Text Detection in Drone Images Open
The use of drones and unmanned aerial vehicles has significantly increased in various real-world applications such as monitoring illegal car parking, tracing vehicles, controlling traffic jams, and chasing vehicles. However, accurate detec…
View article: Identification and Classification of Human Mental Stress using Physiological Data: A Low-Power Hybrid Approach
Identification and Classification of Human Mental Stress using Physiological Data: A Low-Power Hybrid Approach Open
This paper proposes a framework using artificial intelligence for recognizing human mental stress based on physiological data. It comprises three stages; at first, emotion detection has been carried out from the facial image using a deep l…