Results 81 to 90 of about 8,744,702 (255)
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Generative models based on point processes for financial time series simulation
, 2021 Presented online on April 7, 2021 at 12:15 p.m.Qi Wei has worked on multiband image processing as a Research Associate with Signal Processing Laboratory, University of Cambridge, UK, and as a Research Associate at Duke University, US.
Wei, Qi
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NetAP-ML: Machine Learning-Assisted Adaptive Polling Technique for Virtualized IoT Devices. [PDF]
Sensors (Basel), 2023 Park H, Go Y, Lee K, Hong CH.
europepmc +1 more source
Learning Augmented Optimization: Faster, Better and Guaranteed
, 2019 Presented on November 20, 2019 at 12:15 p.m. in the Marcus Nanotechnology Building, Room 1116.Zhangyang (Atlas) Wang is an Assistant Professor of Computer Science and Engineering at Texas A&M University. Dr.
Wang, Zhangyang
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The need for open source software in machine learning [PDF]
, 2007 Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the field of machine learning has developed a large body of powerful learning algorithms for diverse ...
Ratsch, Gunnar +49 more
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Active Learning and Machine Teaching for Online Learning: A Study of Attention and Labelling Cost
, 2021 Interactive Machine Learning (ML) has the potential to lower the manual labelling effort needed, as well as increase classification performance by incorporating a human-in-the loop component.
Persson, Jan A., +5 more
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Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
ML@GT Lab presents LAB LIGHTNING TALKS 2020
, 2020 Presented online on December 4, 2020 at 2:00 p.m.Professor Ghassan AlRegib is currently a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He is the director of the Multimedia and Sensors Lab (MSL) at
Essa, Irfan +18 more
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Active Learning: From Linear Classifiers to Overparameterized Neural Networks
, 2020 Presented online on October 7, 2020 at 12:15 p.m.Robert Nowak holds the Nosbusch Professorship in Engineering at the University of Wisconsin-Madison, where his research focuses on signal processing, machine learning, optimization, and statistics.Runtime:
Nowak, Robert
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Advanced Engineering Materials, EarlyView.HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan +4 more
wiley +1 more source