Results 151 to 160 of about 1,758,089 (240)

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Comparative study of heuristic algorithms for coordination of industrial over current relays with nonstandard characteristics in microgrid protection. [PDF]

Sci Rep
Gairola E, Rawat MS, Thakur P, Gupta S, Kumar M.   +4 more
europepmc   +1 more source

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Advanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu   +4 more
wiley   +1 more source

Improvement strategies for heuristic algorithms based on machine learning and information concepts: a review of the seahorse optimization algorithm. [PDF]

PeerJ Comput Sci
Zheng S.
europepmc   +1 more source

A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines

Advanced Intelligent Systems, EarlyView.
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe, Eleonora Raimondo, Andrea Grimaldi, Pedram Khalili Amiri, Stefano Chiappini, Anna Giordano, Mario Carpentieri, Hyunsoo Yang, Massimo Chiappini, Giovanni Finocchio   +9 more
wiley   +1 more source

Legendre based neural networks integrated with heuristic algorithms for the analysis of Lorenz chaotic model: an intelligent and comparative study. [PDF]

Sci Rep
Masood K, Arshad M, Abubakar M, Aslam MN, Alghamdi MA, Almotiri SH.   +5 more
europepmc   +1 more source

Exact and heuristic algorithms for Space Information Flow. [PDF]

PLoS One, 2018
Uwitonze A, Huang J, Ye Y, Cheng W, Li Z.   +4 more
europepmc   +1 more source

Heuristic procedures for reactive project scheduling. [PDF]

This paper describes new heuristic reactive project scheduling procedures that may be used to repair resource-constrained roject baseline schedules that suer from multiple activity duration disruptions during project execution.The objective is to ...
Van de Vonder, S, Ballestin, F, Herroelen, Willy, Demeulemeester, Erik   +3 more
core  

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley   +1 more source

Proposing a new model for location - routing problem of perishable raw material suppliers with using meta-heuristic algorithms. [PDF]

Heliyon, 2019
Yaghoubi A, Akrami F.
europepmc   +1 more source