Results 151 to 160 of about 41,443 (305)

Sessionbased graph convolutional recurrent neural networks recommendation model

四川大学学报. 自然科学版, 2021
The session based recommendation is a subtask of recommendation system, which addresses the recommendation problem about anonymous users. Although the existing methods with the graph neural network for recommendation have achieved good results, which are
CAO Wan-Ping, ZHOU Gang, CHEN Li, CUI Lan-Lan   +3 more
doaj  

Regional Prediction of Ozone and Fine Particulate Matter Using Diffusion Convolutional Recurrent Neural Network. [PDF]

Int J Environ Res Public Health, 2022
Wang D, Wang HW, Lu KF, Peng ZR, Zhao J.
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Application of wavelets and artificial neural network for indoor optical wireless communication systems

This study investigates the use of error control code, discrete wavelet transform (DWT) and artificial neural network (ANN) to improve the link performance of an indoor optical wireless communication in a physical channel.
Rajbhandari, Sujan
core  

Object Segmentation for Vehicle Video and Dental CBCT by Neuromorphic Convolutional Recurrent Neural Network

, 2016
The neuromorphic visual processing inspired by the biological vision system of brain offers an alternative process into applying machine vision in various environments.
Han, Woo-Sup, Il Song Han, Woo-Sup Han, Han, Il Song   +3 more
core   +1 more source

Automated detection of mouse scratching behaviour using convolutional recurrent neural network. [PDF]

Sci Rep, 2021
Kobayashi K, Matsushita S, Shimizu N, Masuko S, Yamamoto M, Murata T.   +5 more
europepmc   +1 more source

WS2 Optoelectronic Memristive Reservoir Enabling Ultra‐Low‐Power, Multi‐Task, and Environmentally Stable Neuromorphic Computing

Advanced Science, EarlyView.
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar, Hanrui Li, Divyanshu Divyanshu, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Amit Singh, Abdul Momin Syed, Selma Amara, Gianluca Setti, Nazek El‐Atab   +9 more
wiley   +1 more source

CAE-RBNN: An Uncertainty-Aware Model of Island NDVI Prediction

ISPRS International Journal of Geo-Information
The unique geographical isolation and climate sensitivity of island ecosystems make them valuable for ecological research. The Normalized Difference Vegetation Index (NDVI) is an important indicator when monitoring and evaluating these systems, and its ...
Zheng Xiang, Cunjin Xue, Ziyue Ma, Qingrui Liu, Zhi Li   +4 more
doaj   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification

, 2019
Mixed spectral responses from different ground materials often create confusions in complex remote sensing scenes and restrict classification performance.
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Liew, AWC, Zhou, J, Alam, FI   +5 more
core   +1 more source