Results 221 to 230 of about 7,675,115 (371)

Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety. [PDF]

Foods
Ding H, Hou H, Wang L, Cui X, Yu W, Wilson DI.   +5 more
europepmc   +1 more source

Distributed processing of sensory information in the leech. III. A dynamical neural network model of the local bending reflex [PDF]

, 1992
SR Lockery, TJ Sejnowski
openalex   +1 more source

Carbon Nanotube 3D Integrated Circuits: From Design to Applications

Advanced Functional Materials, EarlyView.
As Moore's law approaches its physical limits, carbon nanotube (CNT) 3D integrated circuits (ICs) emerge as a promising alternative due to the miniaturization, high mobility, and low power consumption. CNT 3D ICs in optoelectronics, memory, and monolithic ICs are reviewed while addressing challenges in fabrication, design, and integration.
Han‐Yang Liu, Yun Sun, Dong‐Ming Sun, Hui‐Ming Cheng   +3 more
wiley   +1 more source

Physics-Informed Neural Networks in Polymers: A Review. [PDF]

Polymers (Basel)
Malashin I, Tynchenko V, Gantimurov A, Nelyub V, Borodulin A.   +4 more
europepmc   +1 more source

Special issue on human mimetics. On forming neural networks.

, 1989
Kisou Kubota
openalex   +2 more sources

Design of linear cellular neural networks for motion sensitive filtering [PDF]

, 1993
Bertram E. Shi, T. Roska, Leon O. Chua
openalex   +1 more source

ImageNet classification with deep convolutional neural networks

Communications of the ACM, 2012
A. Krizhevsky, I. Sutskever, Geoffrey E. Hinton   +2 more
semanticscholar   +1 more source

Temperature‐Resilient Polymeric Memristors for Effective Deblurring in Static and Dynamic Imaging

Advanced Functional Materials, EarlyView.
A thermally stable organic memristor based on a thiadiazolobenzotriazole (TBZ) and 2,5‐Dioctyl‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione (DPP)‐based conjugated polymer is presented, demonstrating reliable, gradual resistance switching across a wide temperature range (153–573 K).
Ziyu Lv, Ming‐Hao Jiang, Hui‐Ying Liu, Qing‐Xiu Li, Tao Xie, Jingya Yang, Yan Wang, Yongbiao Zhai, Guanglong Ding, Shirui Zhu, Jia‐Hua Li, Miao Zhang, Ye Zhou, Bobo Tian, Wai‐Yeung Wong, Su‐Ting Han   +15 more
wiley   +1 more source

Exploring Quantum Neural Networks for Demand Forecasting. [PDF]

Entropy (Basel)
de Jesus GF, da Silva MHF, Pires OM, da Silva LC, Dos Santos Cruz C, da Silva VL.   +5 more
europepmc   +1 more source

Expert prediction, symbolic learning, and neural networks. An experiment on greyhound racing [PDF]

, 1994
Hsinchun Chen, P. Buntin Rinde, Linlin She, Siunie A. Sutjahjo, Chris Sommer, D. Neely   +5 more
openalex   +1 more source