Results 221 to 230 of about 95,650 (334)

Quasi-Static Scheduling for Deterministic Timed Concurrent Models on Multi-Core Hardware [PDF]

Shaokai Lin, Erling Jellum, Mirco Theile, Tassilo Tanneberger, Binqi Sun, Chadlia Jerad, Yimo Xu, Guangyu Feng, Magnus Mæhlum, Jian-Jia Chen, Martin Schoeberl, Linh Thi Xuan Phan, Jerónimo Castrillón, Sanjit A. Seshia, Edward A. Lee   +14 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A curated dataset of multi-channel TV program schedules for optimization and benchmarking. [PDF]

Data Brief
Sylejmani K, Bylygbashi S, Lajçi U, Kastrati Z.   +3 more
europepmc   +1 more source

Evolutionary Algorithm for Solving Multi-Mode Resource Constrained Project Scheduling Problems through Deterministic Mode Selection

, 2013
Shivam Agarwal, Tushar Bhat
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Energy-efficient wireless sensor network for urban groundwater level monitoring using machine learning and sink mobility. [PDF]

Sci Rep
Manchanda R, Lakshmi AV, Kaur G, Sudhamsu G, Samal SK, Jebaselvi GDA, Kumar R, Bhowmik A, Ashok N.   +8 more
europepmc   +1 more source

Synchronized Scheduling for Twin Stacking Cranes and Handshake Bay Optimization Considering the Non-Deterministic Storage Space Allocation of Unloading Containers

Xin Bao, Zhi‐Hua Hu, Yao-Zong Wang
openalex   +1 more source

Production Control for Deterministic, Static Production Situations (Scheduling) [PDF]

Henny Van Ooijen, Corné Dirne
openalex   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source