Results 141 to 150 of about 312,321 (283)

Minimum Description Length Recurrent Neural Networks

Transactions of the Association for Computational Linguistics, 2022
Nur Lan, Michal Geyer, Emmanuel Chemla, Roni Katzir   +3 more
doaj   +1 more source

0316 Automatic Detection Of Cortical Arousals Using Recurrent Neural Networks [PDF]

, 2019
Hanna Ragnarsdóttir, H.M. þráinsson, Eysteinn Finnsson, Eysteinn Gunnlaugsson, Sigurdur Aegir Jonsson, Jón S. Ágústsson, Halla Helgadóttir   +6 more
openalex   +1 more source

Ultrahigh‐Yield, Multifunctional, and High‐Performance Organic Memory for Seamless In‐Sensor Computing Operation

Advanced Functional Materials, EarlyView.
Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim, Jaehyoung Ko, Namju Kim, Quynh H. Nguyen, Hoyeon Lee, Joohwan Eo, Seongeon Jin, Ji Eon Kwon, Seung‐Yeol Jeon, Youngdo Jeong, Dongseok Kwon, Sung Gap Im, Sanghan Lee, Byung Chul Jang, Yongho Joo   +14 more
wiley   +1 more source

Stock Market Price Trend Prediction Using Modified Recurrent Neural Network and Energised Chimp Optimization Algorithm (ECOA) [PDF]

Shilpa Dixit, Nitasha Soni
openalex   +1 more source

Crack‐Growing Interlayer Design for Deep Crack Propagation and Ultrahigh Sensitivity Strain Sensing

Advanced Functional Materials, EarlyView.
A crack‐growing semi‐cured polyimide interlayer enabling deep cracks for ultrahigh sensitivity in low‐strain regimes is presented. The sensor achieves a gauge factor of 100 000 at 2% strain and detects subtle deformations such as nasal breathing, highlighting potential for minimally obstructive biomedical and micromechanical sensing applications ...
Minho Kim, Taewi Kim, Jieun Park, Insic Hong, Myungrae Hong, Seonggyeong Park, Beomjin Kim, Sehyuk Ahn, Siwoo Jang, Seungyong Han, Je‐Sung Koh, Daeshik Kang   +11 more
wiley   +1 more source

Hybrid Random Feature Selection and Recurrent Neural Network for Diabetes Prediction [PDF]

Oyebayo Ridwan Olaniran, Aliu Omotayo Sikiru, Jeza Allohibi, Abdulmajeed Atiah Alharbi, Nada MohammedSaeed Alharbi   +4 more
openalex   +1 more source

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

Advanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source

Recurrent Neural Networks for Mexican Sign Language Interpretation in Healthcare Services. [PDF]

Sensors (Basel)
Becerril-Carrillo AJ, Selley-Rojas HJ, Guevara-Martínez E.   +2 more
europepmc   +1 more source

Using recurrent neural network models for early detection of heart failure onset [PDF]

, 2016
Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun   +3 more
openalex   +1 more source

A Van der Waals Optoelectronic Synapse with Tunable Positive and Negative Post‐Synaptic Current for Highly Accurate Spiking Neural Networks

Advanced Functional Materials, EarlyView.
A van der Waals optoelectronic synaptic device based on a ReS2/WSe2 heterostructure and oxygen‐treated h‐BN is presented, which enables both positive and negative PSCs through photocarrier polarity reversal. Bidirectional plasticity arises from gate‐tunable band bending and charge trapping‐induced quasi‐doping.
Hyejin Yoon, Soeun Park, Yeong Kwon Kim, Juhwan Baek, Ki Han Kim, Seongil Yun, Hyeonchang Son, Jeongeun Choi, Byung Chul Jang, Dong‐Ho Kang   +9 more
wiley   +1 more source