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Editorial: Next Generation User-Adaptive Wearable Robots
2022
Frontiers in Robotics and AI
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While there are multiple barriers to ubiquitous exoskeleton use, a key lynchpin is development of robust control systems that adapt to user intent, support the variety of mobility tasks that may be encountered ...
Hybrid exoskeletons are an attractive option for use in individuals with paralysis because they can potentially provide the therapeutic benefits of muscle activation and the enhanced mobility from electromechanical ...
AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication. ...
doi:10.3389/frobt.2022.920655
pmid:35899075
pmcid:PMC9311481
fatcat:ktasb5hh3vbsldmoc2rdvw7yva
A Study of Mobile User Movements Prediction Methods
2018
International Journal of Electrical and Computer Engineering (IJECE)
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<p>For a decade and more, the Number of smart phone users count increasing day by day. ...
With the drastic improvements in Communication technologies, the prediction of future movements of mobile users needs also have important role. Various sectors can gain from this prediction. ...
Object Tracking Algorithm The Object Tracking Algorithm [8] found from the combination of Fuzzy logic and Neural Networks. ...
doi:10.11591/ijece.v8i5.pp3112-3117
fatcat:pqw2w2wohrdqnleonj52qolmge
Editor's Note
2018
International Journal of Interactive Multimedia and Artificial Intelligence
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A Novel Smart Grid State Estimation Method Based on Neural Networks (Egypt) Abdel-Nasseret al. presents a novel method called SE-NN (state estimation using neural network) for smart grid state estimation ...
using artificial neural networks (ANNs) and is a very fast tool to estimate voltages and re/active power loss with a high accuracy compared to the traditional methods [12] . ...
doi:10.9781/ijimai.2018.05.001
fatcat:4nhjspnibjbsbcqxd3auuhdifu
Table of Contents
2021
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
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ENGINEERING iii 1570760678 A Survey on User Authentication Factors SESSION 10: MOBILE COMPUTING 1570752989 Price Prediction Using LSTM Based Machine Learning Models 1570764836 Deep Convolutional Neural ...
Convolutional Neural Networks 1570762266 An Event-Driven Authentication Approach for Mediation of User Actions 18.5 1570746442 Metro Rail Tracking System in Bangladesh 15.2 15.3 18.6 1570762552 Predicting ...
doi:10.1109/iemcon53756.2021.9623133
fatcat:vf7xvqlhnfdnziz5pfsgroq36e
An Indoor Fingerprinting Localization Approach for ZigBee Wireless Sensor Networks
[article]
2013
arXiv
pre-print
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Location tracking systems are increasingly becoming the focus of research in the field of Wireless Sensor Network (WSN). ...
In order to test the proposed system's efficiency, a number of real experiments have been conducted using Jennic sensor nodes. ...
Neural Networks (RNN). ...
arXiv:1308.1809v1
fatcat:5x2ufdsnk5fsveqodofebw6a4e
Design and Implementation of Transportation Management System
2015
Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems
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ACKNOWLEDGMENT This work concern is a part of research project called Transportation Management and User Awareness (TMUA) that financially supported by the National Telecom Regulatory Authority ( ...
mobile network with the GPS to give a better accuracy. ...
Hybrid neural network with Kalman filter give better results than Kalman filter. ...
doi:10.5220/0005430200110018
dblp:conf/vehits/AshourZS15
fatcat:slie5atvibhshpbiszekpnfnr4
Table of Contents
2018
2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)
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with AOMDV Routing
Algorithm.
21
Accessibility Features in Mobile Phone for Visually Impaired User
22
Trust Model for Computing Security of Cloud
23
A Novel Architecture of Hybrid Wavelet Techniques ...
Fuzzy Decision Path Planning Approach for Mobile Robot Track 4: Image Processing and Computer Vision Sr. ...
doi:10.1109/iccubea.2018.8697655
fatcat:jvjgmcrh3fhxtkf4kyydawnkiq
Hybrid Indoor-Based WLAN-WSN Localization Scheme for Improving Accuracy Based on Artificial Neural Network
2016
Mobile Information Systems
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This paper presents a hybrid technique to implement indoor localization that adopts fingerprinting approaches in both WiFi and Wireless Sensor Networks (WSNs). ...
The experimental results show that the proposed hybrid system improved the accuracy, reducing the average distance error to 1.05 m by using ANN. ...
network
with gradient decent with
momentum learning
Mobile user position
RSS data from WAPs
RSS data from WSN
motes
RSS 1 , RSS 2 · · · RSS n
RSS 1 , RSS 2 · · · RSS n
RSS 1 , RSS 2 · ...
doi:10.1155/2016/6923931
fatcat:eymgeg3qafc6llwgjr2yr22ldq
Security Risk Detection and Prevention in Online Social Networking
2019
International Journal for Research in Applied Science and Engineering Technology
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By using this project, the user can trust on social networking system if in case any attack occurs when the system can evaluate it and get alter to the user. ...
It attracts lots of people and hence users drastically enhance day by day. The end users of the online social network increase ultimately. ...
The Artificial Neural Network (ANN) algorithm is also used to detect the suspicious activity of the user. ...
doi:10.22214/ijraset.2019.4401
fatcat:ild2o5qfhbafvofxkdgdvl6ev4
Editorial
2020
International Journal of Information Technology
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The next manuscript ''Optimal Trajectory Tracking Control of Unmanned Aerial Vehicle using ANFIS-IPSO System'', Boumediene Selma et al. advises a novel tracking hybrid controller for a quad rotor UAV that ...
The manuscript ''Design and Analysis of a Hybrid Mobility Scheme for Wireless Mesh Network to Handle Highly Mobile Mesh Clients'', Abhishek Majumder et al. designs a novel scheme for routing internet packages ...
doi:10.1007/s41870-020-00475-z
pmid:32838123
pmcid:PMC7237872
fatcat:b2waemvy2jhbdouk6jhemudsky
Application of Genetic Algorithms for the Selection of Neural Network Architecture in the Monitoring System for Patients with Parkinson's Disease
2021
Applied Sciences
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As a result, the best result in the accuracy of assessing the patient's condition can be obtained by a hybrid approach, where a part of the neural network architecture is selected analytically manually ...
It is shown that the efficiency of using genetic algorithms for constructing neural networks depends on the composition of the data. ...
, allow the user to identify and track certain symptoms. ...
doi:10.3390/app11125470
fatcat:j5qrhijgqfgtni3u3bvl2a2yne
Table of contents
2018
2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
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Network with Nakagami-n 179-184 1570492784 Towards DoS/DDoS Attack Detection Using Artificial Neural Networks 229-234 1570492866 A Statistical Analysis of Electronic Instant Messaging Consequences in ...
Solar Cell Manufacturing 917-921 Field Imaging (RFI) Technique Track 24 Wireless Networks and Mobile Computing Heterogeneous Wireless Networks 1570493432 Acute Stress Detection and Analysis Using Resonant ...
doi:10.1109/uemcon.2018.8796751
fatcat:rp2ptti5pzckfirdmwm6yao7wu
A Novel Design of a Neural Network-Based Fractional PID Controller for Mobile Robots Using Hybridized Fruit Fly and Particle Swarm Optimization
2020
Complexity
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This work offers the analysis, design, and simulation of a new neural network- (NN) based nonlinear fractional control structure. ...
The numerical simulations revealed the excellent performance of the designed NNFOPID controller by comparing its performance with that of nonlinear neural (NNPID) controllers on the trajectory tracking ...
the neural networks (NNs). ...
doi:10.1155/2020/3067024
fatcat:jtolgggmpbfnbkboidpke4v5re
ICDIM 2018 Author Index
2018
2018 Thirteenth International Conference on Digital Information Management (ICDIM)
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Technique using Dynamic LSP Tunneling and LDP in
MPLS for sustainable Mobile Wireless Networks
Shintani, Hirohito
349-354
Function Approximation Using Multilayer SAM Spiking Neural Network
Siagian ...
in Network System Through Hybrid Low Variance Filter, Correlation Filter
and Supervised Mining Process
Matsuo, Kazunori
349-354
Function Approximation Using Multilayer SAM Spiking Neural Network ...
doi:10.1109/icdim.2018.8846994
fatcat:f5l5uufqcrbrdb3xdl5id7kabe
Web AR: A Promising Future for Mobile Augmented Reality--State of the Art, Challenges, and Insights
2019
Proceedings of the IEEE
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Current solutions mostly rely on a collaboration between SLAM and other sensors.
3) Hybrid Tracking Mechanism: The hybrid Mobile AR implementation mechanism is a compromise, taking into consideration ...
As shown in Fig. 4 , the hybrid tracking mechanism is obviously a compromise solution. 1) Sensor-Based Mechanisms: Mobile devices nowadays already support a variety of sensors, such as accelerometers, ...
doi:10.1109/jproc.2019.2895105
fatcat:mcr2mytfavaibpazvxej2l6oxm
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