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Special Issue: Capsule Networks and Imaging Science (CNIS)

P. Karuppusmay, Fuqian Shi, Yong Shi
2021 Neural Processing Letters  
This special issue on "Capsule Networks and Imaging Science" has investigated the challenges in real-time image processing and proposed novel solutions with different neural network models to process the  ...  It contains some of the latest research works that streamlines the research into problems at the intersection of neural networks and imaging science.  ...  A virtual system of 3D historical block based on VR is designed, and the public facilities are designed in the virtual system.  ... 
doi:10.1007/s11063-021-10550-6 fatcat:recnlgjqzbho3kuvbdievowvsu

Program

2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
, Taiwan) This paper designs an optimized hardware generator (IP Generator) based on convolutional neural networks.  ...  Based on the hybrid BP-SC decoding, we proposed a combination of BP, SC, and SCF decoding for polar codes in this paper to further improve the error-correcting performance.  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu

Trends, Technologies, and Key Challenges in Smart and Connected Healthcare

Alramzana Nujum Navaz, Mohamed Adel Serhani, Hadeel T. El Kassabi, Nabeel Al-Qirim, Heba Ismail
2021 IEEE Access  
It can reshape the course of healthcare to be more strategic, preventive, and custom-designed, making it more effective with value-added services.  ...  This increase has been further exacerbated because of the current coronavirus (COVID-19) pandemic, thereby increasing the pressure on existing healthcare resources.  ...  Common AI techniques include machine learning (ML), such as the classical support vector and neural network, and modern deep-learning based on neural networks.  ... 
doi:10.1109/access.2021.3079217 pmid:34812394 pmcid:PMC8545204 fatcat:pq4bodhga5bdfhvip6bo7bdstu

Surveillance on Manycasting Over Optical Burst Switching (OBS) Networks under Secure Sparse Regeneration

C.Veera lakshmi
2013 IOSR Journal of Electronics and Communication Engineering  
In manycasting, destinations can join or exit the group, depending on the service requirements imposed on them. This dynamic movement of the destinations in the group decreases blocking effect.  ...  In wavelength-routed WDM optical networks requires regeneration for few light paths, when the strength of optical signal reduced and also security and privacy are essential before Optical Burst Switching  ...  ., Head of the Department of Electronics and Communication Engineering, M.kumarasamy College of Engineering, Karur, who have contributed towards development of work.  ... 
doi:10.9790/2834-0460108 fatcat:5qasfbq4n5cbpln42h3pa3cucq

Interactive molecular dynamics in virtual reality from quantum chemistry to drug binding: An open-source multi-person framework [article]

Michael O'Connor, Simon J. Bennie, Helen M. Deeks, Alexander Jamieson-Binnie, Alex J. Jones, Robin J. Shannon, Rebecca Walters, Thomas J. Mitchell, Adrian J. Mulholland, David R. Glowacki
2019 arXiv   pre-print
We recently described how interactive molecular dynamics in virtual reality (iMD-VR) can help to meet this challenge, enabling researchers to manipulate real-time MD simulations of flexible structures  ...  By synergistically combining human spatial reasoning and design insight with computational automation, technologies like iMD-VR have the potential to improve our ability to understand, engineer, and communicate  ...  SJB thanks EPSRC grant EP/M022129/1, HECBioSim, the University of Bristol School of Chemistry, and a BP Innovation Fellowship. HMD and AJB are funded by PhD studentships from EPSRC.  ... 
arXiv:1902.01827v3 fatcat:yiovxzqvq5bsbmalr24l6nzavm

Interactive molecular dynamics in virtual reality from quantum chemistry to drug binding: An open-source multi-person framework

Michael B. O'Connor, Simon J. Bennie, Helen M. Deeks, Alexander Jamieson-Binnie, Alex J. Jones, Robin J. Shannon, Rebecca Walters, Thomas J. Mitchell, Adrian J. Mulholland, David R. Glowacki
2019 Journal of Chemical Physics  
We recently described how interactive molecular dynamics in virtual reality (iMD-VR) can help to meet this challenge, enabling researchers to manipulate real-time MD simulations of flexible structures  ...  By synergistically combining human spatial reasoning and design insight with computational automation, technologies such as iMD-VR have the potential to improve our ability to understand, engineer, and  ...  SJB thanks EPSRC grant EP/M022129/1, HECBioSim, the University of Bristol School of Chemistry, and a BP Innovation Fellowship. HMD and AJB are funded by PhD studentships from EPSRC.  ... 
doi:10.1063/1.5092590 pmid:31202243 fatcat:eixlxquzmbbktjani6skhkx24e

Tactile based Intelligence Touch Technology in IoT configured WCN in B5G/6G-A Survey

Mantisha Gupta, Rakesh Kumar Jha, Sanjeev Jain
2022 IEEE Access  
In light of the aforementioned concerns, this study proposes an intelligent touch-enabled system for B5G/6G and IoT based wireless communication network that incorporates the AR/VR technologies.  ...  It is anticipated for the next generation system to provide numerous opportunities for various sectors utilizing AR/VR technology in robotics and healthcare facilities, all with the intension of helping  ...  Owing to a massive growth in the number of IoT devices, realization of the advanced services like smart traffic monitoring, VR based navigation, smart medical facilities like tele-medicine and HD video  ... 
doi:10.1109/access.2022.3148473 fatcat:dbzbqyq3efaj7pbfwf4izmju64

Recent Trends in AI-Based Intelligent Sensing

Abhishek Sharma, Vaidehi Sharma, Mohita Jaiswal, Hwang-Cheng Wang, Dushantha Nalin K. Jayakody, Chathuranga M. Wijerathna Basnayaka, Ammar Muthanna
2022 Electronics  
The methods based on AI enable a computer to learn and monitor activities by sensing the source of information in a real-time environment.  ...  This survey provides a comprehensive summary of recent research on AI-based algorithms for intelligent sensing.  ...  • Recurrent Neural Network-RNN is an important algorithm of DL in which present and past inputs depend on the output of the neural network.  ... 
doi:10.3390/electronics11101661 fatcat:smuark52zjfjverlwlf2tzjpfa

IoT-Enabled Smart Cities: Evolution and Outlook

Martin Bauer, Luis Sanchez, JaeSeung Song
2021 Sensors  
In this paper, the focus is set on the Internet of Things (IoT) as an enabling technology for the Smart City.  ...  During this time many Smart City projects have been executed–some as proof-of-concept, but a growing number resulting in permanent, production-level deployments, improving the operation of the city and  ...  based on the networking technologies described in the previous section.  ... 
doi:10.3390/s21134511 pmid:34209436 fatcat:ltx4krunszctxkyeevkq23mw7i

Digital Twin: Values, Challenges and Enablers from a Modeling Perspective

Adil Rasheed, Omer San, Trond Kvamsdal
2020 IEEE Access  
on society closer to reality.  ...  how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary  ...  A nice discussion on the major recent advances in Natural Language Processing (NLP) focusing on neural network-based methods can be found in [523] .  ... 
doi:10.1109/access.2020.2970143 fatcat:nmdakwa2urdmbbcjblsjrkypum

Supporting the Wellness at Work and Productivity of Ageing Employees in Industrial Environments: The sustAGE Project

Maria Pateraki, Manolis Lourakis, Leonidas Kallipolitis, Frank Werner, Petros Patias, Christos Pikridas
2019 Zenodo  
Supporting the Wellness at Work and Productivity of Ageing Employees in Industrial Environments: The sustAGE Project  ...  A Siamese network, sketched in figure 1 , is a neural network architecture in which two convolutional neural networks with the same weights work in parallel.  ...  In addition, a system for acoustic scene classification based on a deep neural network estimates the probability of nine different acoustic scene classes once every second.  ... 
doi:10.5281/zenodo.4294256 fatcat:ovybcpqny5eppniw7hb5vcsevy

A survey on wearable technology: History, state-of-the-art and current challenges

Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, Justyna Skibińska, Salwa Saafi, Pavel Pascacio, Laura Flueratoru, Darwin Quezada Gaibor, Nadezhda Chukhno, Olga Chukhno, Asad Ali, Asma Channa (+11 others)
2021 Computer Networks  
Moreover, the paper provides an extensive and diverse classification of wearables, based on various factors, a discussion on wireless communication technologies, architectures, data processing aspects,  ...  The main aim of this paper is to shed light on the history of wearable devices and provide a state-of-the-art review on the wearable market.  ...  Historically, legacy eHealth systems were based on a few specialized devices, such as biomedical sensors, worn by the patient, and on some storage and computation facility, either local or remotely located  ... 
doi:10.1016/j.comnet.2021.108074 fatcat:523aaizt5jb7jgy6vzysm6q5iu

An Empirical Study on System Level Aspects of Internet of Things (IoT)

Narasimha Swamy S, Kota Solomon Raju
2020 IEEE Access  
Acknowledgment The authors would like to thank the Indian National Academy of Engineering (INAE), Gurgaon, and R V College of Engineering (RVCE), Bengaluru, for their financial support.  ...  The proposed mechanism was based on public relations among the owners of the IoT devices. The trust node's calculations are based on the recommendations received from the IoT devices.  ...  The proposed method used the Ensemble of deep neural network models for predicting the heart diseases on the Cleveland dataset. [243] .  ... 
doi:10.1109/access.2020.3029847 fatcat:5nprx4xtbjfnnkyibk6vbeg47m

DAEMON Deliverable 4.1: Initial design of intelligent orchestration and management mechanisms

Georgios Iosifidis, Danny De Vleeschauwer, Chia-Yu Chang, Marco Fiore, Sergi Alcalá, Andres Garcia-Saavedra, Gines Garcia, Ivan Paez, Gabriele Baldoni, Andra Lutu, Miguel Camelo, Nina Slamnik-Krijestorac (+10 others)
2021 Zenodo  
In essence, the activities in WP4 will be based on the architecture defined in WP2 to not only ensure the developed NI solutions are aligned with the specific needs of mobile network systems, but also  ...  To this aim, NI-based solutions are investigated on top of the DAEMON framework, providing NI-assisted functionality for the management and orchestration in the B5G system to attain a variety of goals:  ...  Section 2 discusses how these building blocks are related and how they can improve the KPIs identified at the start of the project. The rest of the sections zoom in on each of the building blocks.  ... 
doi:10.5281/zenodo.5745456 fatcat:isg5vbmabnecblzd7d3536cjya

Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases [chapter]

Rajesh Singh, Anita Gehlot, Dharam Buddhi
2022 Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases  
Precise diagnosis of these diseases on time is very significant for maintaining a healthy life.  ...  A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper.  ...  The region-based segmentation will segment the data dependent on the taken-out features using GLCM algorithm.  ... 
doi:10.13052/rp-9788770227667 fatcat:da47mjbbyzfwnbpde7rgbrlppe
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