Results 201 to 210 of about 349,230 (288)

An optimized bidirectional recurrent neural network for kidney stone detection based on developed bald eagle search method in CT scan images. [PDF]

Sci Rep
Tang Z, Tang Z, Liu Y, Chen L, Tang Z, Liu X, Salami T.   +6 more
europepmc   +1 more source

RETRACTED: Low-voltage ride-through capability enhancement of wind energy conversion system using an ant-lion recurrent neural network controller [PDF]

, 2019
Velappagari Sekhar, K. Ravi
openalex   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

A dual recurrent neural network model of human-like motion for artificial agents and its evaluation in a VR mirror game turing test. [PDF]

Sci Rep
Knorr MS, Bremer JP, Schneider TR, Engel AK, Maÿe A.   +4 more
europepmc   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Diverse perceptual biases emerge from Hebbian plasticity in a recurrent neural network model.

Neuron
Schönsberg F, Giana D, Chopra Y, Diamond ME, Goldt S.   +4 more
europepmc   +1 more source

Environmental risk assessment based on multiscale spatial recurrent neural network algorithm for IoT agriculture area. [PDF]

Sci Rep
Sofiya M, Arulmozhi M.
europepmc   +1 more source

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

Advanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won, Jeongwoo Lee, Hyunwook Kim, Joon Hak Oh   +3 more
wiley   +1 more source

Adaptive fuzzy-recurrent neural network tuned fractional-order distributed control for robust frequency regulation in multi-microgrid systems. [PDF]

Sci Rep
Kandasamy J, Ramachandran R, Guizani S, Hamam H.   +3 more
europepmc   +1 more source

Hybrid Neural Architectures Combining Convolutional and Recurrent Networks for the Early Detection of Retinal Pathologies

Оrken Mamyrbayev, Sergii Pavlov, Oleksandr Poplavskyi, Kymbat Momynzhanova, Yulia Y. Saldan, Ardan Zhanegiz, Sholpan Zhumagulova, Nurdaulet Zhumazhan   +7 more
openalex   +2 more sources