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Editorial: Next Generation User-Adaptive Wearable Robots

Thomas C. Bulea, Nitin Sharma, Siddhartha Sikdar, Hao Su
2022 Frontiers in Robotics and AI  
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

J. Venkata Subramanian, S. Govindarajan
2018 International Journal of Electrical and Computer Engineering (IJECE)  
<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

Manju Khari
2018 International Journal of Interactive Multimedia and Artificial Intelligence  
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)  
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]

Tareq Alhmiedat, Ghassan Samara, Amer O. Abu Salem
2013 arXiv   pre-print
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

I. Ashour, M. Zorkany, M. Shiple
2015 Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems  
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)  
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

Zahid Farid, Rosdiadee Nordin, Mahamod Ismail, Nor Fadzilah Abdullah
2016 Mobile Information Systems  
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

Abhiruchi V. Rahatgaonkar
2019 International Journal for Research in Applied Science and Engineering Technology  
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


M. N. Hoda
2020 International Journal of Information Technology  
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

Yulia Shichkina, Yulia Irishina, Elizaveta Stanevich, Armando de Jesus Plasencia Salgueiro
2021 Applied Sciences  
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)  
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

Ghusn Abdul Redha Ibraheem, Ahmad Taher Azar, Ibraheem Kasim Ibraheem, Amjad J. Humaidi
2020 Complexity  
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)  
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

Xiuquan Qiao, Pei Ren, Schahram Dustdar, Ling Liu, Huadong Ma, Junliang Chen
2019 Proceedings of the IEEE  
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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