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Evolutionary Deep Belief Network for Cyber-Attack Detection in Industrial Automation and Control System
Technology: Cyber Security  ..
Interactive Medical Image Segmentation Using Deep Learning with Image-Specific Fine Tuning
Abstract: DEEP learning with convolution neural networks (CNNs) has achieved state-of-the-art performance for automated medical image segmentation. However, automatic segmentation methods have not demonstrated sufficiently accurate and robust results for clinical use due to the inherent..
Leaf Disease Detection Based on Lightweight Deep Residual Network and Attention Mechanism
Aim: To address the significant challenge of identifying plant diseases using deep Residual Network.Synopsis: The proposed work addresses the challenges of identifying plant diseases using a lightweight Deep Residual N..
Mobile crowd sensing approaches to address the COVID-19 pandemic in Spain
Abstract:Information technologies are called upon to help authorities to deal efficiently with the containment measures of the pandemic. One of the most critical measures taken by governments worldwide is the declaration of quarantine status. This involves confining the population to their homes to prevent the transmission of the virus. This is..
Sign Explainer An Explainable AI Enabled Framework for Sign Language Recognition With Ensemble Learning
Aim: To enhance the accuracy, robustness and interpretability of sign language recognition system Synopsis: Sign Language recognition is a pioneering framework designed to advance the field of Sign Language Recognition (SLR) through the innovative applic..
Text Mining and Emotion Classification on Monkey pox Twitter Dataset A Deep Learning Natural Language Processing NLP Approach
Aim: To conduct an in depth analysis of emotions expressed by individuals on social media in response to the monkey pox outbreak. Synopsis: The presented work outlines a research study focused on the emotion classification of social media responses to the monkey pox..