Results 101 to 110 of about 1,130,914 (300)
Reinforcement Learning: A Survey [PDF]
, 1996 This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning.
Kaelbling, L. P. +2 more
core +9 more sources
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
Advanced Engineering Materials, EarlyView.A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann +5 more
wiley +1 more source
Utilizing machine learning algorithms in computer science for drug repurposing
, 2021 Niela Rambocas, Claire B. Joseph
openalex +2 more sources
Efficient Machine Learning on Heterogeneous Computing Systems through a Coordinated Runtime System [PDF]
, 2019 Department of Computer Science and EngineeringAs machine learning grows, a heterogeneous computing system is actively used for a solution to increase the efficiency of machine learning. Although there are the prior studies for improving the efficiency of
Hyun, Jihoon
core
Anomaly Detection Method for Hybrid Workpieces Using Dynamic Time Warping
Advanced Engineering Materials, EarlyView.Monitoring of hybrid workpieces: when machining hybrid workpieces, unavoidable axial deviations of the material transition zone cause temporal shifts in the process force signals. A new anomaly detection method based on dynamic time warping is proposed to detect material defects.
Berend Denkena +3 more
wiley +1 more source
A Revised Publication Model for ECML PKDD [PDF]
, 2012 ECML PKDD is the main European conference on machine learning and data mining. Since its foundation it implemented the publication model common in computer science: there was one conference deadline; conference submissions were reviewed by a program ...
Blockeel, Hendrik +3 more
core +1 more source
Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
Reading Big Data by Machine Learning: The Used of Computer Science for Human Life
, 2023 Hartono Subagio, Rismawati Br Sitepu
openalex +2 more sources