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A Novel Multipurpose Watermarking Scheme Capable of Protecting and Authenticating Images with Tamper Detection and Localisation Abilities
Abstract: In this paper, a digital watermarking method is proposed which is based on Contourlet wavelet transform (CT) and Singular Value Decomposition (SVD). In the encryption process, the host image is decomposed into sub-bands using single level of Contourlet wavelet transform and..
Chaotic Image Encryption Using Piecewise Logistic Sine Map
Aim: To analyze the Arnold cat map and demonstrating its effectiveness in the image encryption. Synopsis: With the development in the technology of computer networks, over this network, plenty of secret i..
Deep Ensemble Machine for Video Classification
Abstract: Video classification has been extensively researched in computer vision due to its wide spread use in many important applications such as human action recognition and dynamic scene classification. It is highly desired to have an end-to-end learning framework that can establish effective video r..
DeepSkin A Deep Learning Approach for Skin Cancer Classification
Aim: To design and develop Deep Learning Model that enable early and accurate diagnosis of skin lesions, improving the chances of successful treatment.Synopsis: Given the rising prevalence of skin cancer and the signif..
Denoising in the Dark: Privacy Preserving Deep Neural Network Based Image Denoising
Abstract Large volumes of images are being exponentially generated today from various kinds of imaging devices (smart phones, medical imaging equipment, digital cameras, etc.). Such tremendous growth is further greatly accelerated along with the fast development and wide deployment of diverse In..
Detection of Apple Plant Diseases Using Leaf Images Through Convolutional Neural Network
Aim: To address the challenges associated with detecting apple plant leaf diseases using deep learning based models.Synopsis: Plant diseases pose a significant threat to the global agriculture, leading to substantial c..
Detection of Tomato Leaf Diseases for Agro Based Industries Using Novel PCA DeepNet
Aim: To address the critical issue of detecting tomato leaf diseases in agriculture by leveraging advanced techniques in Deep Learning and Computer VisionSynopsis: The present work focuses on leveraging the TensorFlow API for the ..
Evolutionary Deep Belief Network for Cyber-Attack Detection in Industrial Automation and Control System
Technology: Cyber Security  ..
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..