IEEE

Enhanced Student Learning Through Facial Emotion Recognition Using Normalized CNN and Deep Learning

Abstract: The identification of facial emotions through FER serves as a vital factor for both human-computer relationships and learning platforms designed for individual needs. The research presents ...
IEEE

Leveraging CNN-Based Deep Learning Model to Enhance Wound Healing Assessment

Abstract: A modern healthcare system should be able to monitor and manage a patient's health remotely, especially for serious issues like Diabetic Foot Ulcers (DFU). Adding an intelligent system that ...
CNN

CIA working to arm Kurdish forces to spark uprising in Iran, sources say

The CIA is working to arm Kurdish forces with the aim of fomenting a popular uprising in Iran, multiple people familiar with the plan told CNN. The Trump administration has been in active discussions ...
IEEE

A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration

Abstract: In this paper, we proposed a novel deep learning framework, the Synergistic Deep Learning Model, for recognizing copyrighted characters with heightened accuracy and minimized overfitting.
AOL

CNN Employees Freaking Out Over Possibly Working For Trump-Friendly Owner

Employees at CNN “have real concerns ”about the network’s future after Paramount won a bidding war for Warner Bros. Discovery, CNN senior media analyst Brian Stelter reported Friday. Netflix ended its ...
IEEE

Efficiency and Adaptability of Deep Learning Architectures: A Performance Comparison of CNN, Transformer, and Hybrid Models

Abstract: Innovations in deep learning architectures are driving a paradigm shift in computer vision. While traditional convolutional neural networks (CNNs) have long dominated image tasks due to ...
IEEE

Optimized Electric Vehicle Charging Scheduling Using a Cnn-Lstm Hybrid Deep Learning Model

Abstract: The rapid adoption of electric vehicles (EVs) has resulted in considerable issues in the management of charging stations, especially in forecasting charging demand and optimising energy ...
IEEE

Enhanced Eye Disease Detection with YOLOv10 and Convolutional Neural Networks (CNN) in Deep Learning

Abstract: In this study, we present an eye disease detection and prevention solution based on deep learning techniques, CNN and YOLOv10. The main objective of this system is to detect multiple ...