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

LiDAR-Based Force Feedback Generation for Mobile Robots Using Random Forest Algorithm in Machine Learning

Abstract: This paper introduces a novel approach for enhancing haptic feedback performance in a mobile robot (MR) controller. The system measures the MR's surroundings using a LiDAR sensor. It ...

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

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 ...