KESQ

Sen. Mark Kelly files lawsuit alleging Hegseth violated his rights with push for punishment over illegal orders video

Lawyers for Sen. Mark Kelly filed a lawsuit Monday seeking to block Secretary of Defense Pete Hegseth’s move to cut Kelly’s ...
IEEE

Hybrid Multi-Task CNN Framework with Expert Labels for Advanced Document Forgery Detection

Abstract: The method of Document forgery has full-size demanding situations in daily life, impacting diverse sectors by way of compromising the authenticity by jeopardizing the legitimacy of important ...
IEEE

Explainable AI in Medical Imaging: A Hybrid CNN and Random Forest Framework for Brain Tumor Detection

Abstract: A critical disease, a brain tumor must be categorized correctly if treatment and patient management are to be directed. Due to interpretational bias by individuals and errors that are rife ...
IEEE

Multi-scale Feature Learning with CNN-RNN-Attention Framework for ECG-based Cancer Therapy-Related Cardiac Dysfunction Detection

Cancer therapy-related cardiac dysfunction (CTRCD) is an increasingly significant concern due to cardiac function deterioration caused by anticancer drug side effects. While echocardiography is the ...
IEEE

Ensemble CNN Architecture with Multi-Modal Disease Detection for Sustainable Banana Crop Management: An Integrated Mobile Framework

The inefficiency of manual detection methods makes diagnosing banana crop diseases a serious threat to the agricultural sector. In this paper, we introduce ensemble deep learning of ResNet50, ...
IEEE

Deepfake Image Recognition using Unified Hybrid Framework of CNN, Transformer, and Frequency Features

Abstract: Deepfake is a technique for manipulating or creating visual and audio content to appear realistic. A person’s face can be replaced, their voice imitated, or a scene made to appear as if it ...
IEEE

Optimizing CNN-Based Video Summarization With Digital Twin Framework for Adaptive Probability Thresholding

Abstract: The rapid growth of video data necessitates efficient summarization techniques to extract critical insights while minimizing computational overhead. This study investigates three pre-trained ...
IEEE

ADMM-Enhanced CNN Training Framework With Global Convergence Guarantees

Abstract: Convolutional Neural Networks (CNNs) are widely employed across various domains due to their exceptional capability in extracting complex features from data. Traditional CNN training ...
IEEE

Decoding Depression Progression via Multi-Site Local Field Potentials: A CNN Framework Integrating Spectral and Connectivity Features

Abstract: Major depressive disorder (MDD) is a leading cause of global disability. Previous studies have primarily focused on spectral features or regional brain activity before and after depressive ...
IEEE

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
IEEE

CNN-Based Deep Learning Framework for Multi-Class Rice Leaf Disease Detection and Classification

Abstract: Being a major contributor to rice production worldwide, rice leaf diseases need to be detected early and correctly to achieve maximum output and reduce losses. Processes based on deep ...