EurekAlert!

Energy learning hyper-heuristic algorithm for cooperative task assignment of heterogeneous UAVs under complex constraints

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
IEEE

Multi-Modal Self-Supervised Learning Algorithm-Based Product Recommendation

Abstract: With the rise of e-commerce, personalized recommendation algorithms have received much attention in recent years. Meanwhile, multimodal recommendation algorithms have become the next ...
marktechpost

Weak-for-Strong (W4S): A Novel Reinforcement Learning Algorithm that Trains a weak Meta Agent to Design Agentic Workflows with Stronger LLMs

W4S operates in turns. The state contains task instructions, the current workflow program, and feedback from prior executions. An action has 2 components, an analysis of what to change, and new Python ...
IEEE

Learning Contrastive Evolving Micro-Clusters for Robust Semi-Supervised Data Stream Classification

Abstract: Semi-supervised learning on data streams with concept drift has attracted considerable attention in recent decades. Many existing algorithms have achieved promising results on ...
Scientific Research Publishing

Binsawad, M. (2025). Enhanced Financial Fraud Detection Using an Adaptive Voted Perceptron Model with Optimized Learning and Error Reduction. Electronics, 14, Article 1875.

ABSTRACT: Over the past decade, financial fraud has emerged as a critical challenge in rural communities, where limited financial literacy, weak digital infrastructure, and social vulnerabilities make ...
Scientific Research Publishing

Bikku, T. (2020) Multi-Layered Deep Learning Perceptron Approach for Health Risk Prediction. Journal of Big Data, 7, Article No. 50.

ABSTRACT: Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates ...
news.bloomberglaw

Navigating a Patent Gap for AI and Machine Learning Algorithms

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
C&EN

Supervised Learning Algorithm Reveals the Mechanistic Role of Extracellular Polymeric Substances in Biofouling of an Anaerobic Electrochemical Membrane Bioreactor

State Key Laboratory of Water Pollution Control and Green Resource Recycling, Key Laboratory of Yangtze River Water Environment of Ministry of Education, Shanghai Institute of Pollution Control and ...
Frontiers

Machine-learning algorithm to predict home delivery after antenatal care visit among reproductive age women in East Africa

Background: Maternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health ...
Education Week

Is It Bad to Memorize All Those Algorithms in Math?

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...
Science Daily

Machine learning algorithm brings long-read sequencing to the clinic

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...