Mobile edge computing based QoS optimization in medical healthcare applications

Evaluating Critical Security Issues of the IoT World: Present and Future Challenges

Frustaci, M., Pace, P., Aloi, G., & Fortino, G. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2767291 · Cited by 766 · see citing works

What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age

Zhao, Y., Ni, Q., & Zhou, R. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.08.006 · Cited by 516 · see citing works

From action to activity: Sensor-based activity recognition

Liu, Y., Nie, L., Liu, L., & Rosenblum, D. S. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.08.096 · Cited by 486 · see citing works

Action2Activity: Recognizing Complex Activities from Sensor DataPreprint

Liu, Y., Nie, L.-Q., Han, L., Zhang, L.-M., & Rosenblum, D. S. (2015) · International Joint Conference on Artificial Intelligence · doi:10.48550/arxiv.1611.01872 · Cited by 369 · see citing works

Enabling IoT interoperability through opportunistic smartphone-based mobile gateways

Aloi, G., Caliciuri, G., Fortino, G., Gravina, R., Pace, P., Russo, W., & Savaglio, C. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.10.013 · Cited by 303 · see citing works

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, {IJCAI} 2016

Jansen, J., Bogaerts, B., Devriendt, J., Janssens, G., & Denecker, M. (2016) · International Joint Conference on Artificial Intelligence · Cited by 303 · see citing works

Big data with cognitive computing: A review for the future

Gupta, S., Kar, A. K., Baabdullah, A., & Al-Khowaiter, W. A. A. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.06.005 · Cited by 285 · see citing works

Agent-Oriented Cooperative Smart Objects: From IoT System Design to Implementation

Fortino, G., Russo, W., Savaglio, C., Shen, W., & Zhou, M. (2017) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2017.2780618 · Cited by 271 · see citing works

A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network

Pirbhulal, S., Zhang, H., Alahi, M. E. E., Ghayvat, H., Mukhopadhyay, S. C., Zhang, Y., & Wu, W. (2016) · Sensors · doi:10.3390/s17010069 · Cited by 247 · see citing works

Digital enablement of blockchain: Evidence from HNA group

Ying, W., Jia, S., & Du, W. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.10.004 · Cited by 245 · see citing works

Urban water quality prediction based on multi-task multi-view learning

Liu, Y., Zheng, Y., Liang, Y., Liu, S., & Rosenblum, D. S. (2016) · International Joint Conference on Artificial Intelligence · Cited by 207 · see citing works

Recognizing Complex Activities by a Probabilistic Interval-Based Model

Liu, L., Cheng, L., Liu, Y., Jia, Y., & Rosenblum, D. S. (2016) · AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v30i1.10155 · Cited by 204 · see citing works

2015 IEEE Wireless Communications and Networking Conference (WCNC)

(2015) · doi:10.1109/wcnc21027.2015 · Cited by 178 · see citing works

Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches

Cui, J., Liu, Y., Xu, Y., Zhao, H., & Zha, H. (2013) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmca.2012.2223670 · Cited by 172 · see citing works

Emotion Communication System

Chen, M., Zhou, P., & Fortino, G. (2016) · IEEE Access · doi:10.1109/access.2016.2641480 · Cited by 150 · see citing works

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)

Janhunen, T., Tasharrofi, S., & Ternovska, E. (2016) · National Conference on Artificial Intelligence · Cited by 142 · see citing works

Energy‐efficient adaptive transmission power control for wireless body area networks

Sodhro, A. H., Li, Y., & Shah, M. A. (2015) · IET Communications · doi:10.1049/iet-com.2015.0368 · Cited by 113 · see citing works

On the Design of Smart Homes: A Framework for Activity Recognition in Home Environment

Cicirelli, F., Fortino, G., Giordano, A., Guerrieri, A., Spezzano, G., & Vinci, A. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0549-7 · Cited by 113 · see citing works

Deep gesture interaction for augmented anatomy learning

Karambakhsh, A., Kamel, A., Sheng, B., et al. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.03.004 · Cited by 106 · see citing works

On-Line Multi-View Video Summarization for Wireless Video Sensor Network

Ou, S.-H., Lee, C., Somayazulu, V. S., et al. (2014) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2014.2331916 · Cited by 97 · see citing works

An Energy-Efficient Algorithm for Wearable Electrocardiogram Signal Processing in Ubiquitous Healthcare Applications

Sodhro, A. H., Sangaiah, A. K., Sodhro, G. H., Lohano, S., & Pirbhulal, S. (2018) · Sensors · doi:10.3390/s18030923 · Cited by 93 · see citing works

Modeling and Simulating Internet-of-Things Systems: A Hybrid Agent-Oriented Approach

Fortino, G., Gravina, R., Russo, W., & Savaglio, C. (2017) · Computing in Science & Engineering · doi:10.1109/mcse.2017.3421541 · Cited by 91 · see citing works

A Mobility-Aware Optimal Resource Allocation Architecture for Big Data Task Execution on Mobile Cloud in Smart Cities

Enayet, A., Razzaque, M. A., Hassan, M. M., Alamri, A. M., & Fortino, G. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700293 · Cited by 86 · see citing works

A CNN-Based Method of Vehicle Detection from Aerial Images Using Hard Example Mining

Koga, Y., Miyazaki, H., & Shibasaki, R. (2018) · Remote Sensing · doi:10.3390/rs10010124 · Cited by 68 · see citing works

An m-health application for cerebral stroke detection and monitoring using cloud services

García, L., Tomás, J., Parra, L., et al. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.06.004 · Cited by 65 · see citing works

Rate Adaptation and Admission Control for Video Transmission With Subjective Quality Constraints

Chen, C., Zhu, X., de Veciana, G., et al. (2014) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2014.2337277 · Cited by 59 · see citing works

Implementation processes of online and offline channel conflict management strategies in manufacturing enterprises: A resource orchestration perspective

Du, Y., Cui, M., & Su, J. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.11.006 · Cited by 56 · see citing works

Optimal Dynamic Pricing for Trading-Off User Utility and Operator Profit in Smart Grid

Ferdous, J., Mollah, M. P., Razzaque, M. A., Hassan, M. M., Alamri, A. M., Fortino, G., & Zhou, M. (2017) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2017.2764442 · Cited by 54 · see citing works

Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks

Sodhro, A. H., Chen, L., Sekhari, A., Ouzrout, Y., & Wu, W. (2018) · International Journal of Distributed Sensor Networks · doi:10.1177/1550147717750030 · Cited by 53 · see citing works

A Survey of Wireless Communication Technologies & Their Performance for High Speed Railways

Banerjee, S., Hempel, M., & Sharif, H. (2016) · Journal of Transportation Technologies · doi:10.4236/jtts.2016.61003 · Cited by 48 · see citing works

The integration effort and E-health compatibility effect and the mediating role of E-health synergy on hospital performance

Wu, J., Kao, H.-Y., & Sambamurthy, V. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.09.002 · Cited by 46 · see citing works

Energy Aware and Adaptive Cross-Layer Scheme for Video Transmission Over Wireless Sensor Networks

Kader, M. E. E. D. A. E., Youssif, A. A. A., & Ghalwash, A. Z. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2601258 · Cited by 42 · see citing works

Window-Level Rate Control for Smooth Picture Quality and Smooth Buffer Occupancy

Xu, L., Zhao, D., Ji, X., et al. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2063708 · Cited by 38 · see citing works

Modeling information and communication technology use continuance behavior: Are there differences between users on basis of their status?

Kaba, B. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.08.007 · Cited by 31 · see citing works

Green and friendly media transmission algorithms for wireless body sensor networks

Sodhro, A. H., Li, Y., & Shah, M. A. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-4084-9 · Cited by 26 · see citing works

Battery-Friendly Packet Transmission Strategies for Wireless Capsule Endoscopy

Sodhro, A. H., & Li, Y. (2013) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-319-03005-0_60 · Cited by 21 · see citing works

Telecommunication integration in e‐healthcare: technologies, applications and challenges

Majedi, N., Naeem, M., & Anpalagan, A. (2016) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3025 · Cited by 21 · see citing works

A comparative study of fuzzy vault based security methods for wirless body sensor networks

Pirbhulal, S., Zhang, H., Wu, W., et al. (2016) · International Conference on Sensing Technology · doi:10.1109/icsenst.2016.7796226 · Cited by 18 · see citing works

A Flexible Algorithm for Detecting Challenging Moving Objects in Real-Time within IR Video Sequences

Zingoni, A., Diani, M., & Corsini, G. U. (2017) · Remote Sensing · doi:10.3390/rs9111128 · Cited by 17 · see citing works

Medical Quality-of-Service Optimization in Wireless Telemedicine System Using Optimal Smoothing Algorithm

Hassan, S. A., & Li, Y. (2013) · E-Health Telecommunication Systems and Networks · doi:10.4236/etsn.2013.21001 · Cited by 16 · see citing works

Novel Key Storage and Management Solution for the Security of Wireless Sensor Networks

Sodhro, A. H., Li, Y., & Shah, M. A. (2013) · TELKOMNIKA Indonesian Journal of Electrical Engineering · doi:10.11591/telkomnika.v11i6.2703 · Cited by 16 · see citing works

A Fuzzy-Based Adaptive Streaming Algorithm for Reducing Entropy Rate of DASH Bitrate Fluctuation to Improve Mobile Quality of Service

Van, L. N., Park, J., Nam, J.-S., et al. (2017) · Entropy · doi:10.3390/e19090477 · Cited by 14 · see citing works

Tools and Methods for RTCP-Nets Modeling and Verification

Szpyrka, M., Biernacki, J., & Biernacka, A. (2016) · Archives of Control Sciences · doi:10.1515/acsc-2016-0019 · Cited by 11 · see citing works

Analysis of Efficient Biometric Index using Heart Rate Variability for Remote Monitoring of Obstructive Sleep Apnea

Pirbhulal, S., Zhang, H., Wu, W., et al. (2017) · Neuropsychiatry · doi:10.4172/neuropsychiatry.1000280 · Cited by 11 · see citing works

Resource Optimized TTSH-URA for Multimedia Stream Authentication in Swallowable-Capsule-Based Wireless Body Sensor Networks

Wang, W., Wang, C., & Zhao, M. (2014) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2013.2292883 · Cited by 7 · see citing works

Adaptive Rate Control Algorithm for H.264/AVC Considering Scene Change

Chen, X., & Lu, F. (2013) · Mathematical Problems in Engineering · doi:10.1155/2013/373689 · Cited by 6 · see citing works

RTP Control Protocol (RTCP) Extended Report (XR) Block for Delay Metric Reporting

Clark, A., Gross, K., & Wu, Q. (2013) · doi:10.17487/rfc6843 · Cited by 6 · see citing works

A dual mode self-adaption handoff for multimedia services in mobile cloud computing environment

Liao, J., Qi, Q., Wang, J., et al. (2015) · Multimedia Tools and Applications · doi:10.1007/s11042-015-2498-4 · Cited by 5 · see citing works

A novel streaming method using QoS control function of LTE to prevent video freezing

Nagai, Y., Okamawari, T., & Fujii, T. (2016) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc.2016.7564971 · Cited by 5 · see citing works

QoE preserving resource scheduling for M2M terminals and human users in LTE networks

Abdalla, I., & Venkatesan, S. (2015) · International Journal of Ad Hoc and Ubiquitous Computing · doi:10.1504/ijahuc.2015.070590 · Cited by 4 · see citing works

RTP Control Protocol (RTCP) Extended Report (XR) Block for the Bytes Discarded Metric

Ott, J., & Curcio, I. D. D. (2014) · doi:10.17487/rfc7243 · Cited by 3 · see citing works

Handover from LTE to VSAT with an analysis to provide optimized performance in telemedicine ambulances

Mukhopadhyay, A., Navyashree, V., & Meenakshi, M. (2015) · International Journal of Applied Engineering Research · Cited by 3 · see citing works

A Real Time Window-Based Local Call Admission Control Algorithm for IP Networks

Alwakeel, S. S., & AlGhanmi, S. S. (2011) · Proceedings - IEEE International Symposium on High-Assurance Systems Engineering/Proceedings · doi:10.1109/hase.2011.32 · Cited by 2 · see citing works

HEVC video quality assessment database toward LTE system

Zhao, C., Cai, Z., Zhao, Y., et al. (2016) · International Conference on Computer Science & Education (ICCSE) · doi:10.1109/iccse.2016.7581607 · Cited by 1 · see citing works

Medical 4.0 technologies for healthcare: Features, capabilities, and applications

Haleem, A., Javaid, M., Pratap Singh, R., & Suman, R. (2022) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2022.04.001 · Cited by 468 · see citing works

5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions

Ahad, A., Tahir, M., & Yau, K.-L. A. (2019) · IEEE Access · doi:10.1109/access.2019.2930628 · Cited by 352 · see citing works

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

Muzammal, M., Talat, R., Sodhro, A. H., & Pirbhulal, S. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.06.021 · Cited by 311 · see citing works

Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues

Kumar, M., Kumar, A., Verma, S., Bhattacharya, P., Ghimire, D., Kim, S.-H., & Hosen, A. S. M. S. (2023) · Electronics · doi:10.3390/electronics12092050 · Cited by 199 · see citing works

A survey on deep transfer learning to edge computing for mitigating the COVID-19 pandemic

Sufian, A., Ghosh, A., Sadiq, A. S., & Smarandache, F. (2020) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2020.101830 · Cited by 156 · see citing works

Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions

Badidi, E. (2023) · Future Internet · doi:10.3390/fi15110370 · Cited by 113 · see citing works

IoT Solution for AI-Enabled PRIVACY-PREServing with Big Data Transferring: An Application for Healthcare Using Blockchain

Elhoseny, M., Haseeb, K., Shah, A. A., Ahmad, I., Jan, Z., & Alghamdi, M. I. (2021) · Energies · doi:10.3390/en14175364 · Cited by 41 · see citing works

Research on Intelligent Mobile Edge Computing and Task Unloading Method of UAV

Zheng, S., Zhong, X., Huang, B., et al. (2023) · IEEE Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) · doi:10.1109/itnec56291.2023.10082507 · Cited by 4 · see citing works

MDP-Based Offloading Trend Prediction Method for Multimedia Services in Edge Computing

Lee, C. S. G. (2023) · Journal of Korea Multimedia Society · doi:10.9717/kmms.2023.26.2.209

Edge computing: Types and attributes

Ranganath, S. (2022) · Advances in computers · doi:10.1016/bs.adcom.2022.03.001 · Cited by 4 · see citing works

Multi-Objective Computation Sharing in Energy and Delay Constrained Mobile Edge Computing Environments

Bozorgchenani, A., Mashhadi, F., Tarchi, D., & Monroy, S. A. S. (2020) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2020.2994232 · Cited by 209 · see citing works

Cooperative Task Offloading in UAV Swarm-based Edge Computing

Wang, Y., Guo, H., & Liu, J. (2021) · Globecom · doi:10.1109/globecom46510.2021.9685240 · Cited by 15 · see citing works