IEEE

Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
IEEE

SC-DRL: A Status Correction-Empowered Deep Reinforcement Learning Algorithm for Dependency-Aware Application Offloading

Abstract: Mobile edge computing (MEC) is emerging as a critical paradigm to meet the growing computational demands of wireless devices. However, edge servers, wireless devices, and service types in ...

TikTok users “absolutely justified” in fearing MAGA makeover, experts say

A TikTok USDS spokesperson told Ars that US owners have not yet made any changes to the algorithm or content moderation ...
IEEE

Mirror-Symmetrical Dijkstra’s Algorithm-Based Deep Reinforcement Learning for Dynamic Wireless Charging Navigation of Electric Vehicles

Abstract: The dynamic wireless charging (DWC) system based on wireless charging lanes (WCLs) is an important component of smart cities, allowing electric vehicles (EVs) to charge while moving. It is ...
IEEE

Automated Deep Learning System for Early Detection of Stroke Using CNN Architecture

Abstract: Strokes are a major cause of disability worldwide, with ischemic and hemorrhagic strokes accounting for the majority of cases. In India, stroke remains the second most common cause of ...
IEEE

Deep Reinforcement Learning-Based Anti-Jamming Rate Adaptation and Frequency Selection Algorithm for UAV Ad Hoc Networks

Abstract: In unmanned aerial vehicle (UAV) ad hoc networks, dynamic wireless channel fluctuations and malicious electromagnetic jamming may severely compromise link reliability, causing rate ...
IEEE

A Genetic Algorithm Approach to Adaptive Learning: Enhancing Learner Satisfaction and Performance

Abstract: As educational technologies mature at a growing rate, effective models of instructional delivery systems that can deliver learning experiences based on the individual learner’s learning ...
IEEE

Machine Learning Algorithm for Predicting Crime Type and Occurrence

Abstract: Crime is a widespread problem that upsets social harmony and presents serious difficulties for law enforcement. Effective crime prevention and resource allocation depend on an understanding ...
Hypebeast

Elon Musk Says X Algorithm Will Go Open Source

Elon Musk says social platform X will open-source a new recommendation algorithm within seven days, exposing all code behind organic and ad post suggestions and updating it every four weeks with ...
IEEE

Brain Tumor Detection using CNN Algorithm

Abstract: Brain tumor detection is one of the most crucial issues in medical image analysis, as it enables the early and timely detection of these tumors, leading to an increased survival rate for ...
IEEE

Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures

Abstract: Pumpkin leaf diseases are significant threats to agricultural productivity, requiring a timely and precise diagnosis for effective management. Traditional identification methods are ...
IEEE

A CNN and Deep Learning-based Smart Satellite Surveillance System for Wildfire Detection and Wildlife Damage Assessment

Abstract: Wildfires are a growing concern due to their catastrophic impacts on the environment, ecosystem services, biodiversity, and human settlements. Different fire detection systems face ...