EurekAlert!

Image-based machine learning framework sharpens battery health estimation across varying conditions

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

Delhi Technological University, TimesPro announce the inaugural Advanced Certificate Program in Artificial Intelligence

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
IEEE

Optimizing CNN for IoT Anomaly Detection in 6G using Ant Lion Optimizer and Slime Mould Algorithm

Abstract: The fast spread of the Internet of Things (IoT) and the approaching deployment of 6G networks have presented hitherto unheard-of possibilities and problems in network security. IoT devices ...

Connect with CNN 10

CNN 10 is a daily news show for students over 13 and other viewers who want to learn about current events and global issues ...
IEEE

A Reinforcement Learning Algorithm for Safety Decision Making in Autonomous Driving Systems with Reward Machine Guidance

Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...
IEEE

Lung Cancer Prediction System Using CNN and Machine Learning Algorithms

Abstract: Lung cancer, the leading cause of cancer-related mortality worldwide, is often diagnosed at advanced stages, limiting treatment efficiency. This paper introduces a hybrid system integrating ...
IEEE

Trajectory Prediction Algorithm of Missile Based on Physics-Augmented Deep Learning

Abstract: Recently, high-precision trajectory prediction of ballistic missile in the boost phase has become a research hotspot in missile defense system. This paper proposes a trajectory prediction ...
IEEE

Generation of CNN Architectures Using the Harmonic Search Algorithm and its Application to Classification of Damaged Sewer

Abstract: When used as an image processing method, convolutional neural networks (CNNs) cannot verify conditions that can achieve high performance; however, they show sufficiently high performance and ...
IEEE

A Review of Machine Learning and Deep Learning Trends in EEG-Based Epileptic Seizure Prediction

Abstract: Epileptic seizures impair patients’ health and quality of life, and electroencephalography (EEG)-based prediction enables timely intervention. Early work on epileptic seizure prediction ...
IEEE

Learning-Aided Evolutionary Algorithm for Solving Energy-Minimized Deadline-Constrained Task Scheduling Problem in Human-Cyber-Physical Systems

Abstract: This work addresses an energy-minimized deadline-constrained task scheduling problem in human-cyber-physical systems. It consists of three subproblems: processor allocation, task sequencing, ...