Results 121 to 130 of about 550,063 (331)

Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems

, 2017
A key challenge in multi-robot and multi-agent systems is generating solutions that are robust to other self-interested or even adversarial parties who actively try to prevent the agents from achieving their goals.
Amato, Christopher, Hoang, Trong Nghia, How, Jonathan, Sivakumar, Kavinayan, Xiao, Yuchen   +4 more
core   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecasting

Financial Innovation
This study attempts to accelerate the learning ability of an artificial electric field algorithm (AEFA) by attributing it with two mechanisms: elitism and opposition-based learning.
Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho   +2 more
doaj   +1 more source

The Common Core Debate [PDF]

, 2014
The Common Core State Standards (CCSS) have ignited a passionate national debate about the standards that guide the education of our nation’s and state’s students.
Ash, Jennifer W., Ritter, Gary W., Walkling, Prairey R.   +2 more
core   +2 more sources

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

HPPQ: A Parallel Package Queries Processing Approach for Large-Scale Data

Big Data Mining and Analytics, 2018
A lot of scholars have focused on developing effective techniques for package queries, and a lot of excellent approaches have been proposed. Unfortunately, most of the existing methods focus on a small volume of data.
Meihui Shi, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu   +4 more
doaj   +1 more source

Application of Opposition-Based Learning Jumping Spider Optimization Algorithm in Gas Turbine Coupled Cooling System [PDF]

, 2023
Dazhi Wang, Tianyi Li, Yongliang Ni, Keling Song, Yanming Li   +4 more
openalex   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

Elite Opposition-Based Cognitive Behavior Optimization Algorithm for Global Optimization

Journal of Intelligent Systems, 2019
This paper presents an elite opposition-based cognitive behavior optimization algorithm (ECOA). The traditional COA is divided into three stages: rough search, information exchange and share, and intelligent adjustment process.
Zhang Shaoling, Zhou Yongquan, Luo Qifang   +2 more
doaj   +1 more source