Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
financefeeds

Good and Bad Crypto Algorithms Explained Simply

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...
Scientific Research Publishing

Zhou, Q., Zhang, D., Liu, H. and He, Y. (2024) KCS-YOLO: An Improved Algorithm for Traffic Light Detection under Low Visibility Conditions. Machines, 12, Article 557.

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
Frontiers

Optimization method of electric vehicle energy system based on machine learning

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
IEEE

Q-Learning-Based Control for Discrete-Time Switched Affine Systems and Its Application to DC–DC Converter

Abstract: In this paper, a new data-based Q-learning algorithm is proposed to address the optimal control issue for a class of discrete-time switched affine systems (SASs). The algorithm shifts the ...
eLife

Dynamics of striatal action selection and reinforcement learning

The authors present a biologically plausible framework for action selection and learning in the striatum that is a fundamental advance in our understanding of possible neural implementations of ...
IEEE

A Weighted Smooth Q-Learning Algorithm

Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...
Frontiers

Hybrid genetic algorithm and Q-learning-based solution for the time-variant berth and quay crane allocation problem

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...
USA Today

Adaptive Algorithms in Education: Elephant Learning Delivers Adaptive Learning to Empower Children with Mathematics

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of users by ...
marktechpost

Meta AI Introduces MR.Q: A Model-Free Reinforcement Learning Algorithm with Model-Based Representations for Enhanced Generalization

Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, and automation, where agents interact ...