Results 61 to 70 of about 26,748 (274)

Experiments in automatic learning for a multipurpose hueristic program

, 1971
An automatic learning capability has been developed and implemented for use with the MULTIPLE ( MULTI purpose P rogram that LE arns) heuristic tree-searching program ...
James R. Slagle, Carl D. Farrell
core   +1 more source

ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs

, 2022
Optimizing the expected values of probabilistic processes is a central problem in computer science and its applications, arising in fields ranging from artificial intelligence to operations research to statistical computing.
Staton, Sam, Lew, Alexander K, Huot, Mathieu, Mansinghka, Vikash K., Mansinghka, Vikash Kumar, Lew, Alexander K., Staton, Samuel   +6 more
core   +1 more source

Research on Longitudinal Intelligent Control of Autonomous-rail Rapid Tram

Kongzhi Yu Xinxi Jishu, 2023
Aiming at the intelligent operation requirements of autonomous-rail rapid tram, this paper proposes a longitudinal intelligent control algorithm based on the driver behavior habit model. Firstly, it analyzes the ART operation scenarios and environmental
TANG Liang, SHEN Mengyu, XIAO Lei
doaj  

Effect of Laser Deoxidation on Adhesive‐Bonded Aluminum in an Oxygen‐Free Atmosphere

Advanced Engineering Materials, EarlyView.
This study investigates laser ablation of aluminum under oxygen‐free conditions. The goal is to produce oxide‐free substrates that enable improved adhesive bonding with epoxy. Optimized laser parameters (90% overlap, 300 µJ) combined with oxide‐free substrates result in the highest tensile strength of the adhesive bond.
Sandra Gerland, Finn‐Lennard Janthur, Sarah Seffer, Jörg Hermsdorf, Ludger Overmeyer, Annika Raatz   +5 more
wiley   +1 more source

Lattice piecewise affine approximation of explicit nonlinear model predictive control with application to trajectory tracking of mobile robot

IET Control Theory & Applications
To promote the widespread use of mobile robots in diverse fields, the performance of trajectory tracking must be ensured. To address the constraints and nonlinear features associated with mobile robot systems, nonlinear model predictive control (MPC) is ...
Kangbo Wang, Zhengqi Xu, Kaijie Zhang, Yating Huang, Jun Xu   +4 more
doaj   +1 more source

Research on Multi-vehicle Cooperative Simulation Platform for Intelligent Driving System of Mine Truck

Kongzhi Yu Xinxi Jishu, 2022
With the wide application of intelligent and network technologies in the transportation industry, intelligent driving of mine truck has become an inevitable trend in the development of mining industry.
NIU Lipeng, ZHANG Sha, ZHANG Zhaoyang, CHEN Huaguo, QING Guangming   +4 more
doaj  

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Why Has the Border Effect in the Japanese Market Declined? [PDF]

This paper analyzes the causes of the decline in Japan’s border effect by estimating gravity equations for Japan’s international and interregional trade in four machinery industries (electrical, general, precision, and transportation machinery).
Kyoji Fukao; Toshihiro Okubo
core  

Automatic Programming: Large Language Models and Beyond

Automatic programming has seen increasing popularity due to the emergence of tools like GitHub Copilot which rely on Large Language Models (LLMs). At the same time, automatically generated code faces challenges during deployment due to concerns around ...
Roychoudhury, A, Thongtanunam, P, Lyu, MR, Tan, SH, Ray, B   +4 more
core   +1 more source

A data‐driven distributed fault diagnosis scheme for large‐scale systems based on correlation analysis

IET Control Theory & Applications
This paper studies data‐driven distributed fault diagnosis for large‐scale systems using sensor networks. To be specific, a distributed fault detection scheme based on correlation analysis is first proposed to improve the fault detection performance by ...
Zhennan Li, Linlin Li, Steven X. Ding
doaj   +1 more source