Results 261 to 270 of about 11,928,939 (371)

Digital Twin-Based Active Learning for Industrial Process Control and Supervision in Industry 4.0. [PDF]

Sensors (Basel)
Ortiz JS, Quishpe EK, Sailema GX, Guamán NS.   +3 more
europepmc   +1 more source

Stochastic scheduling of active support vector learning algorithms [PDF]

, 2005
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra   +2 more
openalex   +1 more source

High‐Entropy Magnetism of Murunskite

Advanced Functional Materials, EarlyView.
The study of murunskite (K2FeCu3S4) reveals that its magnetic and orbital order emerges in a simple I4/mmm crystal structure with complete disorder in the transition metal positions. Mixed‐valence Fe ions randomly occupy 1/4 of the tetrahedral sites, with the remaining 3/4 being filled by non‐magnetic Cu+ ions.
Davor Tolj, Priyanka Reddy, Ivica Živković, Luka Akšamović, Jian Rui Soh, Kamila Komȩdera, Izabela Biało, Naveen Kumar Chogondahalli Muniraju, Trpimir Ivšić, Mario Novak, Oksana Zaharko, Clemens Ritter, Thomas LaGrange, Wojciech Tabiś, Ivo Batistić, László Forró, Henrik M. Rønnow, Denis K. Sunko, Neven Barišić   +18 more
wiley   +1 more source

Deep Bayesian active learning using in-memory computing hardware. [PDF]

Nat Comput Sci
Lin Y, Gao B, Tang J, Zhang Q, Qian H, Wu H.   +5 more
europepmc   +1 more source

E-tivities: The Key to Active Online Learning

, 2003
Mohamed Ally
openalex   +2 more sources

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

Use of learning space to promote active learning in health sciences programmes

The Asia Pacific Scholar
Bhuvan KC, Pathiyil Ravi Shankar
doaj   +1 more source

Active Learning [PDF]

مجله ایرانی آموزش در علوم پزشکی, 2005
Alireza Yousefy
doaj  

Deep active learning for multi label text classification. [PDF]

Sci Rep
Wang Q, Zhang H, Zhang W, Dai L, Liang Y, Shi H.   +5 more
europepmc   +1 more source

A Novel Approach to Implementing Artificial Thalamic Neurons with Ferroelectric Transistors

Advanced Functional Materials, EarlyView.
Artificial neurons created using CMOS technology often require a large number of transistors and capacitors. This study introduces an artificial thalamic neuron that employs only five CMOS compatible ferroelectric transistors. The manufactured thalamic neuron demonstrates leaky integrate‐and‐fire‐or‐burst (LIFB) functionalities, featuring self ...
Andreas Grenmyr, Jiayuan Zhang, Jingxuan Sun, Kenta Moto, Stefan Wiefels, Seong‐Ryong Koh, Detlev Grützmacher, Qing‐Tai Zhao   +7 more
wiley   +1 more source