Results 181 to 190 of about 349,230 (288)

Classifying animal behavior from accelerometry data via recurrent neural networks

, 2023
Liang Wang, Reza Arablouei, Flavio A. P. Alvarenga, Greg Bishop-Hurley   +3 more
openalex   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Integrative Long Non-Coding RNA Analysis and Recurrence Prediction in Cervical Cancer Using a Recurrent Neural Network. [PDF]

Diagnostics (Basel)
Senthilkumar G, Pitchaimuthu R, Panneerselvam PS, Alagarswamy RP, Dhanasekaran S.   +4 more
europepmc   +1 more source

Forecasting demand factors of tourist arrivals in Indonesia’s tourism industry using recurrent neural network

, 2021
Melati Puspa Anisa, Herry Irawan, Sri Widiyanesti   +2 more
openalex   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Analyzing crises in global financial indices using Recurrent Neural Network based Autoencoder. [PDF]

PLoS One
Mim MA, Tuhin MKH, Nobi A.
europepmc   +1 more source

Reconciling Deep Learning and Control Theory: Recurrent Neural Networks for Indirect Data-Driven Control [PDF]

Fabio Bonassi
openalex   +1 more source

Graph rules for recurrent neural network dynamics: extended version. [PDF]

, 2023
Carina Curto, Katherine Morrison
openalex  

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

The analysis of dynamic evaluation of online shopping satisfaction based on the recurrent neural network model. [PDF]

Sci Rep
Zhao C, Xun Y.
europepmc   +1 more source