Results 211 to 220 of about 398,042 (310)

Time-frequency machine learning transfer function for central pressure waveforms. [PDF]

Eur Heart J Open
Niroumandi S, Wei H, Amlani F, Gorji H, Alavi R, Chirinos JA, Pahlevan NM.   +6 more
europepmc   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Teachers' perceptions of online modules to promote professional learning of ICT

, 2007
Online professional learning has the potential to be a cost effective, flexible approach that can reach large numbers of teachers. However, there are many factors that need to be evaluated in developing successful online approaches that impact on ...
Herrington, J., Reid, D., Herrington, A., Hoban, G.   +3 more
core  

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Learning transfer operators by kernel density estimation. [PDF]

Chaos
Surasinghe S, Fish J, Bollt EM.
europepmc   +1 more source

Near‐Infrared Light‐Driven Zn/Au Janus Micromotors for Multiplex SERS Detection of Anticancer Drugs

Advanced Functional Materials, EarlyView.
Zn/Au Janus micromotors, propelled by thermophoretic effects under NIR light, function as active SERS platforms for single and multiplex detection of anticancer drugs. Their dynamic motion enhances analyte exchange at the Au interface, reducing saturation and competitive adsorption, thereby improving sensitivity and extending the linear detection range.
Tijana Maric, Gohar Soufi, Ziqiao Li, Erick Chica, Amran Abdirasheed Ali Jinow, Nada Al‐Roubaï, Noor Ahmed, Yaman Göksel, Anja Boisen   +8 more
wiley   +1 more source

Correction: An approach to the permeation mechanism of learning transfer and teaching strategy in physical education based on complex network. [PDF]

PLoS One
PLOS ONE Staff.
europepmc   +1 more source

RadImageNet: A Large-scale Radiologic Dataset for Enhancing Deep Learning Transfer Learning Research

, 2021
Yang Y, Mei X, Robson P, Marinelli B, Huang M, Doshi A, Jacobi A, Link K, Yang T, Cao C, Wang Y, Greenspan H, Deyer T, Fayad Z.   +13 more
europepmc   +1 more source

Designed Lewis Acid–Base Passivation for High Performance Perovskite Solar Cells

Advanced Functional Materials, EarlyView.
ABSTRACT Silicon's high cost and long energy payback time remain major barriers to the global expansion of solar power. In contrast, metal–halide perovskites offer abundant, solution‐processable absorbers, and have achieved efficiencies of 25%–30%, positioning them as strong competitors to silicon.
Afna Manaf, Hiba Shahulhameed, Bhabani Sankar Swain, Shengzhong (Frank) Liu, Adel Najar   +4 more
wiley   +1 more source

Transfer of learning

, 2006
This descriptive study, adapted from Holton and Bates' Learning Transfer System Inventory (LTSI), examined factors that facilitated and/or hindered transfer of learning for participants of a four-day grant writing workshop.
Lundin, Deborah L.
core