IEEE

Early Radar Work Mode Recognition Using Hybrid CNN-Transformer and Reinforcement Learning

In this paper, a novel approach is proposed for early recognition of Radar Work Mode, which integrates a hybrid CNN-Transformer architecture and a Reinforcement Learning strategy. The model processes ...
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

Evaluating Machine Learning Algorithms for Enhancing Network Intrusion Detection Systems: A Comparative Study

Abstract: Network Intrusion Detection Systems (NIDS) play crucial role for maintaining the security of modern network infrastructures. With the increasing sophistication of cyber-attacks, traditional ...

Career Wise: 5 High-Paying AI Jobs That Will Be In Demand Over The Next Decade

Jobs related to AI offer attractive salaries and significant growth potential. For students or professionals aiming for a career in technology, AI stands out as a prime choice.

Bhopal Woman Shares Her Inspiring Journey From Tier-3 College To Google: ‘Gave Interviews, Failed, But Learnt Alot’

Google software engineer shared her journey from a Tier-3 college in Bhopal to landing an L4 role at the tech giant.
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

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

CSIA-UIM: A Universal Ising Machine Based on CIM-friendly Spring-Ising Algorithm

Abstract: Ising machines are specialized processors designed to solve combinatorial optimization problems through the physical evolution of the Ising graphs. However, conventional Ising machines are ...
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 ...

5 Books on AI That Are A Must-read

Mitchell traces the evolution of AI from Alan Turing’s early ideas to modern systems. The book explores language, images, and ...
IEEE

Predictive Autism Analysis: Integrating CNN and RNN with Ensemble Learning

Abstract: Timely identification of Autism Spectrum Disorder (ASD) is essential for successful intervention, but current diagnostic methods often depend on subjective observations, potentially missing ...
IEEE

Machine Learning-Based Algorithm for One-Dimensional Wave Spectrum Retrieval from SAR Imagery as Passing Oceanic Eddy

The inversion of the one-dimensional wave spectrum from dual-polarized synthetic aperture radar (SAR) data is performed using machine learning methods, namely Random Forest (RF), eXtreme Gradient ...