Results 71 to 80 of about 1,980,897 (317)
Advanced Functional Materials, EarlyView.Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee +9 more
wiley +1 more source
Analysis of comparative performance of deep learning models for sentiment analysis
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Sentiment analysis of text can be performed using machine learning and natural language processing methods. However, there is no single tool or method that is effective in all cases.
Mirza Murtaza
doaj +1 more source
Solving SAT in linear time with a neural-like membrane system [PDF]
, 2003 We present in this paper a neural-like membrane system solving the SAT problem in linear time. These neural Psystems are nets of cells working with multisets.
Pazos Sierra, Juan +5 more
core +1 more source
Advanced Healthcare Materials, EarlyView.NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi +11 more
wiley +1 more source
3sG: Three‐stage guidance for indoor human action recognition
IET Image ProcessingInference using skeleton to steer RGB videos is applicable to fine‐grained activities in indoor human action recognition (IHAR). However, existing methods that explore only spatial alignment are prone to bias, resulting in limited performance.
Hai Nan, Qilang Ye, Zitong Yu, Kang An
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Point completion by a Stack‐Style Folding Network with multi‐scaled graphical features
IET Computer Vision, 2023 Point cloud completion is prevalent due to the insufficient results from current point cloud acquisition equipments, where a large number of point data failed to represent a relatively complete shape.
Yunbo Rao +3 more
doaj +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
Advanced Materials, EarlyView.This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Pi-nets: Deep Polynomial Neural Networks
, 2020 Deep Convolutional Neural Networks (DCNNs) is currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning.
Chrysos, Grigorios G. +5 more
core +1 more source
Application of neural network for home security system
, 1995 International Conference on Artificial Neural Nets and Genetic Algorithms -- 1995 -- ALES, FRANCEWOS ...
Krishnamurthi, V, Ibrikci, T
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Real‐time semantic segmentation network for crops and weeds based on multi‐branch structure
IET Computer VisionWeed recognition is an inevitable problem in smart agriculture, and to realise efficient weed recognition, complex background, insufficient feature information, varying target sizes and overlapping crops and weeds are the main problems to be solved.
Yufan Liu +6 more
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