Results 281 to 290 of about 24,823,645 (374)

Personality Traits and E-learning Course Satisfaction: A Study of Health Science Students. [PDF]

Cureus
Ashouri A, Taheri M, Rasouli M, Rouhalamin S.   +3 more
europepmc   +1 more source

Collaborative Education Practice In A Data Structure E-Learning Course

, 2009
Gang Chen, Ruimin Shen
openalex   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

E-Learning in Dental Medicine: A Key to More Equality? [PDF]

Eur J Dent Educ
Hartmann A, Steinhoff S, Al-Nawas B, Heimes D, Kämmerer PW.   +4 more
europepmc   +1 more source

E-learning as a complement to presential teaching of blindness prevention: a randomized clinical trial 'E-learning' como um complemento do ensino presencial de prevenção da cegueira: ensaio clínico

, 2013
Rodrigo Pessoa Cavalcanti Lira, João Paulo Fernandes Felix, Fernando Rodrigo Pedreira Chaves, Enzo Augusto Medeiros Fulco, Keila Monteiro de Carvalho, Anita Zimmermann   +5 more
openalex   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

The perception of dental students and educators about e-learning during COVID - 19 pandemic. [PDF]

BMC Oral Health
Fouda SM, Madi M, Ellakany P, Aly NM, Bahgat HA, Elembaby AE, Virtanen JI, AlHumaid J.   +7 more
europepmc   +1 more source

Caracterização de Deslizamentos no Sudeste do Brasil entre 1981 e 2024 via Machine Learning

 Vittor Hugo Santos Courbassier,  Michelle Simões Reboita   +1 more
openalex   +1 more source

ANALISIS KEPUASAN PENGGUNA TERHADAP WEBSITE E-LEARNING (MY-BEST) MENGGUNAKAN METODE EUCS

Jonathan Nathanael, Kresna Ramanda
openalex   +2 more sources

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source