Results 61 to 70 of about 212,585 (307)
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 +6 more
wiley +1 more source
Breast Cancer Prediction Using Stacked GRU-LSTM-BRNN
Applied Computer Systems, 2020 Breast Cancer diagnosis is one of the most studied problems in the medical domain. Cancer diagnosis has been studied extensively, which instantiates the need for early prediction of cancer disease.
Dutta Shawni +3 more
doaj +1 more source
Supply and Demand Forecasting Model of Multi-Agricultural Products Based on Deep Learning
智慧农业, 2022 To further improve the simulation and estimation accuracy of the supply and demand process of agricultural products, a large number of agricultural data at the national and provincial levels since 1980 were used as the basic research sample, including ...
ZHUANG Jiayu +5 more
doaj +1 more source
Deep Learning (CNN, RNN) Applications for Smart Homes: A Systematic Review
De Computis, 2022 In recent years, research on convolutional neural networks (CNN) and recurrent neural networks (RNN) in deep learning has been actively conducted. In order to provide more personalized and advanced functions in smart home services, studies on deep ...
Jiyeon Yu +2 more
semanticscholar +1 more source
Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications
Advanced Materials, EarlyView.In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu +10 more
wiley +1 more source
Advanced LSTM: A Study about Better Time Dependency Modeling in Emotion Recognition
, 2017 Long short-term memory (LSTM) is normally used in recurrent neural network (RNN) as basic recurrent unit. However,conventional LSTM assumes that the state at current time step depends on previous time step. This assumption constraints the time dependency
Liu, Gang, Tao, Fei
core +1 more source
Survey on Research of RNN-Based Spatio-Temporal Sequence Prediction Algorithms
Journal of Big Data, 2021 : In the past few years, deep learning has developed rapidly, and many researchers try to combine their subjects with deep learning. The algorithm based on Recurrent Neural Network (RNN) has been successfully applied in the fields of weather forecasting,
Wei Fang, Yupeng Chen, Qiongying Xue
semanticscholar +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
Advanced Robotics Research, EarlyView.This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU
Journal of Artificial Intelligence and Soft Computing Research, 2019 Deep Neural Networks (DNN) are nothing but neural networks with many hidden layers. DNNs are becoming popular in automatic speech recognition tasks which combines a good acoustic with a language model.
A. Shewalkar +2 more
semanticscholar +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source