Results 171 to 180 of about 2,858,490 (288)
Task-based Learning: Creating Relevant Lessons
紀要論文 / Departmental Bulletin ...
openaire
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
Formation of task representations and replay in mouse medial prefrontal cortex. [PDF]
Shabani H +5 more
europepmc +1 more source
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
wiley +1 more source
Cognitive offloading through digital tools and its relationship with critical thinking, task persistence, and learning depth. [PDF]
Wang J.
europepmc +1 more source
Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum +5 more
wiley +1 more source
Task-based-learning in der Allgemeinmedizin []
Klement, Andreas +3 more
doaj
TriNet-MTL: A Multi-Branch Deep Learning Framework for Biometric Identification and Cognitive State Inference from Auditory-Evoked EEG. [PDF]
Fatima N, Nabi G.
europepmc +1 more source
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
SLA aware deep reinforcement learning for adaptive EdgeCloud task scheduling. [PDF]
Yamsani N, P CR.
europepmc +1 more source

