Results 111 to 120 of about 1,043,746 (297)

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

Conservation machine learning [PDF]

open access: yesBioData Mining, 2020
Moshe Sipper, Jason H. Moore
openaire   +3 more sources

FloBlocks: an affordable and extensible tool for tangible block programming in education

open access: yesDiscover Education
High costs often restrict access to programming education, especially in underserved communities. To address this, we introduce FloBlocks, a novel, low-cost educational tool that integrates tangible flowchart programming with computer vision.
Devansh Rathor   +4 more
doaj   +1 more source

Humanitarian applications of machine learning with remote-sensing data: review and case study in refugee settlement mapping [PDF]

open access: bronze, 2018
John A. Quinn   +5 more
openalex   +1 more source

Machine learning assisted synthesis of lithium-ion batteries cathode materials

open access: hybrid, 2022
Chi Hao Liow   +19 more
openalex   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

Recent Advancements in Bulk Processing of Rare‐Earth‐Free Hard Magnetic Materials and Related Multiscale Simulations

open access: yesAdvanced Engineering Materials, EarlyView.
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley   +1 more source

Automated Tree Detection Using Image Processing and Multisource Data

open access: yesApplied Sciences
This paper presents a method for the automatic detection and assessment of trees and tree-covered areas in Katowice, the capital of the Upper Silesian Industrial Region in southern Poland. The proposed approach utilizes satellite imagery and height maps,
Grzegorz Dziczkowski   +6 more
doaj   +1 more source

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