Results 151 to 160 of about 603,409 (311)
Learning high-order task relationships in multi-task learning
Multi-task learning is a way of bringing inductive transfer studied in human learning to the machine learning community. A central issue in multi-task learning is to model the relationships between tasks appropriately and exploit them to aid the ...
Yeung, Dit Yan, Zhang, Yu
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Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Control strategy of robotic manipulator based on multi-task reinforcement learning
Multi-task learning is important in reinforcement learning where simultaneously training across different tasks allows for leveraging shared information among them, typically leading to better performance than single-task learning.
Tao Wang +3 more
doaj +1 more source
Trayectorias: a new model for online task-based learning
This paper discusses a framework for designing online tasks that capitalizes on the possibilities that the Internet and the Web offer for language learning.
Raquel Mardomingo +3 more
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Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Learning Language Through Task Repetition
Cover Page -- Learning Language through Task Repetition -- Editorial page -- Title page -- LCC data -- Table of contents -- Series Editors' Preface -- Introduction -- The construct of 'task repetition' -- Tasks as attentional frames -- Task repetition ...
Bygate, Martin.
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Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley +1 more source
Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades +7 more
wiley +1 more source
Illinois Terrorism Task Force- 2009 Annual Report
This report documents the activities and accomplishments of the Illinois Terrorism Task Force during the year 2009.not peer reviewedSubmitted by Adam Groves (agroves@illinois.edu) on 2010-03-08T17:29:44Z No. of bitstreams: 1 Illinois Terrorism Task Force-
Illinois Terrorism Task Force
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Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection
Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel +7 more
wiley +1 more source

