Results 191 to 200 of about 8,374,235 (328)

A Multi-Stage Hybrid Learning Model with Advanced Feature Fusion for Enhanced Prostate Cancer Classification. [PDF]

Diagnostics (Basel)
Abd El-Ghany S, Abd El-Aziz AA.
europepmc   +1 more source

Emerging Telepresence Technologies in Hybrid Learning Environments. [PDF]

Ext Abstr Hum Factors Computing Syst, 2022
Elmimouni H, Hansen JP, Herring SC, Marcin J, Orduna M, Pérez P, Rae I, Read JC, Rode J, Sabanovic S, Ahumada-Newhart V.   +10 more
europepmc   +1 more source

Trend Learning Model Through Hybrid Learning [PDF]

Proceedings of the 1st International Conference on Vocational Education And Training (ICOVET 2017), 2017
Purnomo Purnomo, Djoko Kustono, Umi Kulsum   +2 more
openaire   +1 more source

Bottom‐Up Programming of Cell States in Cancer Organoids with Defined Synthetic Adhesion Cues

Advanced Materials, EarlyView.
A bottom‐up biomaterial platform is developed to program transcriptomic states in pancreatic cancer organoids by tuning adhesion cues within synthetic matrices. By combining a Design of Experiments framework with multiobjective optimization, matrix compositions are identified that enrich specific cellular programs like EMT.
Ali Nadernezhad, Verena J. Kast, Dagmar Pette, Franziska Baenke, Daniel E. Stange, Carsten Werner, Daniela Loessner   +6 more
wiley   +1 more source

Hybrid learning framework for synergistic fusion of SAR and optical UAV data in wildfire surveillance. [PDF]

Sci Rep
Rajagopal BG, Monish KS, R D, R JK.
europepmc   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Uncertainty aware hybrid learning framework for fast and safe charging of lithium-ion batteries using multi-fidelity observers. [PDF]

Sci Rep
Parimala CHH, Varma PS, Kumar RS, Singh AR, Mohapatra B, Addis HK.   +5 more
europepmc   +1 more source

Depression and opinion of dental students regarding the hybrid learning model during the COVID-19 pandemic. [PDF]

BMC Psychol, 2023
Orozco MFS, de González WYE, Marín NP, Hernández JRC, Hernandez-Cabanillas JC, Acosta IO, Rider RM, Casillas Santana MA.   +7 more
europepmc   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Multi-Modal Decentralized Hybrid Learning for Early Parkinson's Detection Using Voice Biomarkers and Contrastive Speech Embeddings. [PDF]

Sensors (Basel)
Alhawiti KM.
europepmc   +1 more source