An Intelligent Trust Cloud Management Method for Secure Clustering in 5G Enabled Internet of Medical Things

A Survey of Healthcare Internet of Things (HIoT): A Clinical Perspective

Habibzadeh, H., Dinesh, K., Shishvan, O. R., Boggio-Dandry, A., Gaurav Sharma, A., & Soyata, T. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2946359 · Cited by 433

Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach

Ning, Z., Dong, P., Wang, X., Hu, X., Guo, L., Hu, B., Guo, Y., Qiu, T., & Kwok, R. Y. K. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3020645 · Cited by 381

ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

Liu, Y., Dong, M., Ota, K., & Liu, A. (2016) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2016.2570740 · Cited by 351

Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health

Yu, K., Tan, L., Lin, L., Cheng, X., Zhang, Y., & Sato, T. (2021) · IEEE Wireless Communications · doi:10.1109/mwc.001.2000374 · Cited by 271

Machine Learning Based Trust Computational Model for IoT Services

Jayasinghe, U., Lee, G. M., Um, T.-W., & Shi, Q. (2019) · IEEE Transactions on Sustainable Computing · doi:10.1109/tsusc.2018.2839623 · Cited by 256

PMRSS: Privacy-Preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare

Sun, Y., Liu, J., Yu, K., Alazab, M., & Lin, K. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3070544 · Cited by 210

An Efficient Ciphertext-Policy Weighted Attribute-Based Encryption for the Internet of Health Things

Li, H., Yu, K., Liu, B., Feng, C., Qin, Z., & Srivastava, G. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3075995 · Cited by 172

Smart Mutual Authentication Protocol for Cloud Based Medical Healthcare Systems Using Internet of Medical Things

Deebak, B. D., & Al-Turjman, F. M. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3020599 · Cited by 145

FTM-IoMT: Fuzzy-Based Trust Management for Preventing Sybil Attacks in Internet of Medical Things

Almogren, A., Mohiuddin, I., Din, I. U., Almajed, H., & Guizani, N. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3027440 · Cited by 116

A synergetic trust model based on SVM in underwater acoustic sensor networks

Han, G., He, Y., Jiang, J., Wang, N., Guizani, M., & Ansere, J. A. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2939179 · Cited by 106

Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles

Liang, S., Wu, H., Zhen, L., Hua, Q., Garg, S., Kaddoum, G., Hassan, M. M., & Yu, K. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3158253 · Cited by 367

Real-Time Cloud-Based Patient-Centric Monitoring Using Computational Health Systems

Chakraborty, C., & Kishor, A. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3170375 · Cited by 148

An Intelligent Deterministic Scheduling Method for Ultralow Latency Communication in Edge Enabled Industrial Internet of Things

Lu, Y., Yang, L., Yang, S. X., Hua, Q., Sangaiah, A. K., Guo, T., & Yu, K. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3186891 · Cited by 96

Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies

Othman, S. B., Almalki, F. A., Chakraborty, C., & Sakli, H. (2022) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2022.108025 · Cited by 93

Intelligent Latency-Aware Tasks Prioritization and Offloading Strategy in Distributed Fog-Cloud of Things

Chakraborty, C., Mishra, K., Majhi, S. K., & Bhuyan, H. K. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3173899 · Cited by 91

Smart industrial IoT empowered crowd sensing for safety monitoring in coal mine

Zhang, J., Yan, Q., Zhu, X., & Yu, K. (2022) · Digital Communications and Networks · doi:10.1016/j.dcan.2022.08.002 · Cited by 89

Optimized multimedia data through computationally intelligent algorithms

Sharma, N. V., Chakraborty, C., & Kumar, R. (2022) · Multimedia Systems · doi:10.1007/s00530-022-00918-6 · Cited by 84

Autonomous Behavioral Decision for Vehicular Agents Based on Cyber-Physical Social Intelligence

Guo, Z., Meng, D., Chakraborty, C., Fan, X.-R., Bhardwaj, A., & Yu, K. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3212864 · Cited by 85

FEEL: FEderated LEarning Framework for ELderly Healthcare Using Edge-IoMT

Ghosh, S., & Ghosh, S. K. (2023) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3233300 · Cited by 80

A Privacy-Preserving Social Computing Framework for Health Management Using Federated Learning

Shen, Z., Ding, F., Yao, Y., Bhardwaj, A., Guo, Z., & Yu, K. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3222682 · Cited by 73

Conditional Anonymous Remote Healthcare Data Sharing Over Blockchain

Liu, J., Jiang, W., Sun, R. X., Bashir, A. K., Alshehri, M. D., Hua, Q., & Yu, K. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3183397 · Cited by 72

Deep Q-Learning-Based Neural Network with Privacy Preservation Method for Secure Data Transmission in Internet of Things (IoT) Healthcare Application

Kathamuthu, N. D., Annadurai, C., Iruthayanathan, N., Manikandan, R., & Gandomi, A. H. (2022) · Electronics · doi:10.3390/electronics11010157 · Cited by 68

MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system

Haq, A. U., Li, J., Kumar, R., Ali, Z., Khan, I. U., Uddin, M. I., & Agbley, B. L. Y. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-022-04373-z · Cited by 67

Design of cultural emperor penguin optimizer for energy-efficient resource scheduling in green cloud computing environment

Mansour, R. F., Alhumyani, H. A., Khalek, S. A., Saeed, R. A., & Gupta, D. K. (2022) · Cluster Computing · doi:10.1007/s10586-022-03608-0 · Cited by 50

DeformableGAN: Generating Medical Images With Improved Integrity for Healthcare Cyber Physical Systems

Shen, Z., Ding, F., Jolfaei, A., Yadav, K., Vashisht, S., & Yu, K. (2022) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2022.3190765 · Cited by 49

A MEC Offloading Strategy Based on Improved DQN and Simulated Annealing for Internet of Behavior

Yuan, X., Tian, H., Zhang, Z., Zhao, Z., Liu, L., Sangaiah, A. K., & Yu, K. (2022) · ACM Transactions on Sensor Networks · doi:10.1145/3532093 · Cited by 48

A Simple Federated Learning-Based Scheme for Security Enhancement Over Internet of Medical Things

Xu, Z., Guo, Y., Chakraborty, C., Hua, Q., Chen, S., & Yu, K. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3187471 · Cited by 52

Trust-Aware Routing Mechanism through an Edge Node for IoT-Enabled Sensor Networks

Saleh, A., Joshi, P., Rathore, R. S., & Sengar, S. S. (2022) · Sensors · doi:10.3390/s22207820 · Cited by 44

Blockchain enabled dynamic trust management method for the internet of medical things

Xiang, X., Cao, J. P., Fan, W., Xiang, S., & Wang, G. (2024) · Decision Support Systems · doi:10.1016/j.dss.2024.114184 · Cited by 44

Generative Steganography Based on Long Readable Text Generation

Cao, Y., Zhou, Z., Chakraborty, C., Wang, M., Wu, Q. M. J., Sun, X., & Yu, K. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3174013 · Cited by 42

FC-SEEDA: fog computing-based secure and energy efficient data aggregation scheme for Internet of healthcare Things

Chakraborty, C., Soufiene, B. O., Almalki, F. A., & Sakli, H. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-08270-0 · Cited by 40

Trust management in social Internet of Things across domains

Bangui, H., Bühnová, B., Kušniráková, D., & Halasz, D. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100833 · Cited by 40

A secure and dependable trust assessment (SDTS) scheme for industrial communication networks

Khan, T., Singh, K., Ahmad, K., & Ahmad, K. A. B. (2023) · Scientific Reports · doi:10.1038/s41598-023-28721-x · Cited by 39

Deep Q Network–Driven Task Offloading for Efficient Multimedia Data Analysis in Edge Computing–Assisted IoV

Yang, C., Xu, X., Zhou, X., & Qi, L. (2022) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3548687 · Cited by 38

An integrating computing framework based on edge-fog-cloud for internet of healthcare things applications

Khanh, Q. V., Nam, V. H., Van, A. D., & Quý, N. M. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100907 · Cited by 38

Content-aware recommendation system for integrated temporal semantic review text over web of things

AlMahadin, G., Shabaz, M., Khan, I. R., Vimal, V., Keshta, I. M., & Maguluri, L. P. (2024) · Service Oriented Computing and Applications · doi:10.1007/s11761-024-00408-9 · Cited by 32

Malicious Node Detection in Wireless Weak-Link Sensor Networks Using Dynamic Trust Management

Wang, C., Liu, G., & Jiang, T. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3418826 · Cited by 31

Graph convolutional network‐based deep feature learning for cardiovascular disease recognition from heart sound signals

Rezaee, K., Khosravi, M. R., Jabari, M., Hesari, S., Anari, M. S., & Aghaei, F. (2022) · International Journal of Intelligent Systems · doi:10.1002/int.23041 · Cited by 28

GBEAKA: Group-based efficient authentication and key agreement protocol for LPIoMT using 5G

Singh, G. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100688 · Cited by 25

A trusted security approach to detect and isolate routing attacks in mobile ad hoc networks

Lakshmi, G. V., & Vaishnavi, P. (2023) · Journal of Engineering Research · doi:10.1016/j.jer.2023.100149 · Cited by 24

Integration of Light Curve Brightness Information and Layered Discriminative Constrained Energy Minimization for Automatic Binary Asteroid Detection

Guo, T., Lu, X., Yu, K., Zhang, Y.-X., & Wei, W. (2022) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2022.3192804 · Cited by 23

An intelligent blockchain strategy for decentralised healthcare framework

Goel, A., & Neduncheliyan, S. (2023) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-022-01429-x · Cited by 22

Deep-Deterministic-Policy-Gradient-Based Task Offloading With Optimized K-Means in Edge-Computing-Enabled IoMT Cyber-Physical Systems

Yang, C., Xu, X., Bilal, M., Wen, Y., & Huang, T. (2023) · IEEE Systems Journal · doi:10.1109/jsyst.2023.3311454 · Cited by 20

Emerging Blockchain and Reputation Management in Federated Learning: Enhanced Security and Reliability for Internet of Vehicles (IoV)

Mun, H., Han, K., Yeun, H. K., Damiani, E., Puthal, D., Kim, T., & Yeun, C. Y. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3456852 · Cited by 21

Ensemble Learning of Lightweight Deep Convolutional Neural Networks for Crop Disease Image Detection

Al-Gaashani, M. S. A. M., Shang, F., & El‐Latif, A. A. A. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s021812662350086x · Cited by 19

Secure Authentication and Trust Management Scheme for Edge AI-Enabled Cyber-Physical Systems

Xiang, X., Cao, J. P., & Fan, W. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2025.3529691 · Cited by 20

Securing Radio Resources Allocation With Deep Reinforcement Learning for IoE Services in Next-Generation Wireless Networks

Peng, Y., Xue, X., Bashir, A. K., Xiao-gang, Z., Al‐Otaibi, Y. D., Tariq, U., & Yu, K. (2022) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2022.3149750 · Cited by 18

An Improved Convolutional Neural Network-Based Scene Image Recognition Method

Wang, P., Qiao, J., & Liu, N. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/3464984 · Cited by 18

Trust Evaluation and Decision Based on D-S Evidence Theory: Early Models and Future Perspectives

Zhang, W., Sun, H., Fang, W., Zhu, C., & Jia, G. (2023) · IEEE Access · doi:10.1109/access.2023.3244933 · Cited by 16

Compact dual-band design and analysis of half-circular U-shape MIMO radiator for wireless applications

Babu, K. V., Rao, P. S., Naik, B. C., & Kumar, B. R. (2022) · Microsystem Technologies · doi:10.1007/s00542-022-05359-9 · Cited by 16

Biomedical sensor image segmentation algorithm based on improved fully convolutional network

Li, H.-A., Fan, J., Hua, Q., Li, X., Wen, Z., & Meng, Y. (2022) · Measurement · doi:10.1016/j.measurement.2022.111307 · Cited by 16

Unleashing the Power of Wireless Communication in Healthcare by Empowering Patient Care and Connectivity: A Comprehensive Survey

Chaudhary, U., Ali, M. F., Kumar, A., Sharma, A., & Jayakody, D. N. K. (2025) · IEEE Access · doi:10.1109/access.2025.3578344 · Cited by 19

Threat to trust: A systematic review on Internet of medical things security

Shammar, E. A., Cui, X., Zahary, A. T., Alsamhi, S. H., & Al‐qaness, M. A. A. (2025) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2025.105172 · Cited by 17

Hierarchical Progressive Network for Multimodal Medical Image Fusion in Healthcare Systems

Yang, S., Yang, X., Zhang, R., & Liu, K. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3165559 · Cited by 12

A Data-Driven Intelligent System for Assistive Design of Interior Environments

Chen, G. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/8409495 · Cited by 11

Intelligent selection of delivery parties for fresh agricultural product based on third-party logistics in smart city

Wang, H., Li, W., Li, M., Yang, X., Wang, Z., Zhao, Z., & Wang, L. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102151 · Cited by 11

The IMU Augment SLAM on Unmanned Vehicle for Detection of Protective Measures in COVID-19

Liang, S., Zhu, W., Chakraborty, C., Du, J., & Yu, K. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3189033 · Cited by 11

Image Inpainting Based on Contextual Coherent Attention GAN

Li, H.-A., Hu, L., Hua, Q., Yang, M., & Li, X. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126622502097 · Cited by 10

Secure Low-Energy Routing Protocol Based on Dynamic Trust Awareness and Load Balancing in Wireless Sensor Networks

Xiaogang, Y. (2023) · Security and Communication Networks · doi:10.1155/2023/6772435 · Cited by 10

Connectivity of Drones in FANETs Using Biologically Inspired Dragonfly Algorithm (DA) through Machine Learning

Hameed, S., Minhas, Q.-A., Ahmad, S., Ullah, F., Khan, A., Khan, A., Uddin, M. I., & Hua, Q. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/5432023 · Cited by 10

Novel Brain Tumor Classification Model with MLPNN Using UNET

Vimala, M., & Kumar, P. R. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126622502450 · Cited by 9

A Framework for Wireless Sensor Network Optimization Using Fuzzy-Based Fractal Clustering to Enhance Energy Efficiency

Sharma, N., & Gupta, V. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126622502231 · Cited by 9

A Spatio-Temporal Graph Convolutional Network Model for Internet of Medical Things (IoMT)

Ghosh, D. K., Chakrabarty, A., Moon, H., & Piran, M. J. (2022) · Sensors · doi:10.3390/s22218438 · Cited by 8

Magic of 5G Technology and Optimization Methods Applied to Biomedical Devices: A Survey

Kouhalvandi, L., Matekovits, L., & Peter, I. (2022) · Applied Sciences · doi:10.3390/app12147096 · Cited by 8

Efficient and Trustworthy Block Propagation for Blockchain-Enabled Mobile Embodied AI Networks: A Graph Resfusion Approach

Kang, J., Liao, J., Gao, R., Wen, J., Huang, H., Zhang, M., Yi, C., Zhang, T., Niyato, D. T., & Zheng, Z. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3587006 · Cited by 7

Theoretical Performance Analysis of Distributed Queue for Massive Machine Type Communications: Throughput, Latency, Energy Consumption

Li, Y., Jian, X., Yu, K., Kumar, N., & Cai, S. (2022) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2022.3144510 · Cited by 7

Efficient network management and security in 5G enabled internet of things using deep learning algorithms

Thippeswamy, S. N. P., Raghavan, A. P., Rajgopal, M., & Sujith, A. (2023) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v14i1.pp1058-1070 · Cited by 7

Ensuring trustworthy and secure IoT: Fundamentals, threats, solutions, and future hotspots

Huang, M., Peng, Q., Zhu, X., Deng, T., Cao, R., & Liu, W. (2025) · Computer Networks · doi:10.1016/j.comnet.2025.111218 · Cited by 8

Bug-Transformer: Automated Program Repair Using Attention-Based Deep Neural Network

Yao, J., Rao, B., Xing, W., & Wang, L. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126622502103 · Cited by 6

Adaptive Differential Evolution Algorithm with Simulated Annealing for Security of IoT Ecosystems

Liu, Q., Zhang, X., Hua, Q., Wen, Z., & Li, H. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/6951849 · Cited by 6

Image encryption algorithm based on 2D logistic map system in IoHT using 5G network

Fotsing, J., Kakmeni, J.-M. M., Tiedeu, A., & Fotsin, H. B. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16730-x · Cited by 7

Prediction method of important nodes and transmission lines in power system transactive management

Geng, J., Sun, X., Li, F., & Wu, X. (2022) · Electric Power Systems Research · doi:10.1016/j.epsr.2022.107898 · Cited by 6

Blockchain-based secure trusted clusters for multi-tiered Social IoT environments in edge-cloud networks

Khodjamov, N., Yang, S., Sharif, K., Gao, Y., Li, F., Wang, Y., Mamarasulov, S., & Zhu, L. (2025) · Computer Networks · doi:10.1016/j.comnet.2025.111880 · Cited by 5

Blockchain-Assisted Reputation Mechanism for Distributed Cloud Storage

Dong, Q., Tang, J., Dang, S., Chen, G., & Chambers, J. A. (2023) · IEEE Systems Journal · doi:10.1109/jsyst.2023.3277194 · Cited by 5

Design of an Iterative Method for Dynamic Resource Management in 5G Networks with IoT Integration Operations

Mahesh, A. V. (2024) · Journal of Electrical Systems · doi:10.52783/jes.2695 · Cited by 5

Bio-Inspired Optimal Dispatching of Wind Power Consumption Considering Multi-Time Scale Demand Response and High-Energy Load Participation

Zhao, P., Zhang, Y., Hua, Q., Li, H., & Wen, Z. (2022) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2022.021783 · Cited by 5

Uncertainty propagation in the internet of things

Pal, S., Khalifa, S., Miller, D., Dedeoglu, V., Dorri, A., Ramachandran, G. S., Moghadam, P., Kusý, B., & Jurdak, R. (2024) · Discover Internet of Things · doi:10.1007/s43926-024-00085-2 · Cited by 6

Trust Online Over-the-Air Computation for Wireless Federated Learning

Sun, M., Zheng, J., Du, H., Zhang, H., Niyato, D. T., Kang, J., Wang, J., Ren, J., Gao, L. C., & Wang, Z. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3547148 · Cited by 4

An image watermark removal method for secure internet of things applications based on federated learning

Li, H.-A., Wang, G., Hua, Q., Wen, Z., Li, Z., & Lei, T. (2022) · Expert Systems · doi:10.1111/exsy.13036 · Cited by 4

Edge Computing - Technology, Management and Integration

Goundar, S. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.105637 · Cited by 4

Web-based practical privacy-preserving distributed image storage for financial services in cloud computing

Xiaohong, C., Sun, Y., Lin, Z., Imran, M., & Yu, K. (2022) · World Wide Web · doi:10.1007/s11280-022-01090-7 · Cited by 4

COSMO: Dynamic Uploading Scheduling in mmWave-Based Sensor Networks with Mobile Blockers

Sun, Y., Lv, B., Tan, H., Wang, R., & Lau, F. C. M. (2024) · ACM Transactions on Sensor Networks · doi:10.1145/3696790 · Cited by 3

Development of Intelligent Medical Engineering Discipline Over the Past Decade

Lu, Q. (2024) · IEEE Access · doi:10.1109/access.2024.3498312 · Cited by 3

A federated binarized neural network model for constrained devices in IoT healthcare services

Oh, H., Yu, J., Kim, N., Kim, D., Lee, J., & Yang, J. (2022) · International Conference on Artificial Intelligence in Information and Communication (ICAIIC) · doi:10.1109/icaiic54071.2022.9722649 · Cited by 3

A Graph-Based Clustering Algorithm for the Internet of Vehicles

Yang, F., Zhang, S., Jie, H., Cao, Y., Zuo, X., Yang, C., & Zhang, B. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126623500111 · Cited by 3

A Robust, Compact and Efficient AMC-Enabled Dual-Band Antenna for Wearable Healthcare

Ejaz, A., Shahid, H., & Amin, Y. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126623500238 · Cited by 3

An Efficient Method of Tooth Segmentation Under Massive Medical Data

Ma, T., Yang, Y., Li, Y., Li, Z., & Li, Y. (2022) · Journal of Database Management · doi:10.4018/jdm.309414 · Cited by 3

A Novel Routing Protocol-Based Data Transmission to Enhance the Quality of Service for Internet of Medical Things Using 5G

Jaaz, Z. A., Khudhair, I. Y., & Mushgil, H. M. (2023) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v17i10.38797 · Cited by 3

Enhanced ubiquitous system architecture for securing healthcare IoT using efficient authentication and encryption

Kulkarni, C. S., Naniwadekar, M. Y., Mirzaxmatovna, Y. M., Athawale, S. V., Bhadla, M. K., & Byeon, H. (2024) · International Journal of Data Science and Analytics · doi:10.1007/s41060-023-00488-4 · Cited by 3

Comprehensive Survey on Internet of Medical Things (IoMT) - Applications and Challenges

Anusha, V. S., Kumar, R. K., Kumar, G. C., & Mabjan, P. (2024) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt61001.2024.10724150 · Cited by 3

A Gated Convolution and Self-Attention-Based Pyramid Image Inpainting Network

Li, H.-A., Wang, G., Gao, K., & Li, H. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126622502085 · Cited by 3

Learning-Based Health Prediction Method for Airborne DME Receiver with Signal Processing Techniques in 6G Networks

Zhong, Y., Yang, G., Xu, H., Qin, X., & Chen, D. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126622502073 · Cited by 2

Memory Load and Performance-based Adaptive Smartphone E-learning Framework for E-commerce Applications in Online Learning

Alzahrani, A., Alzahrani, M. A. A., Adnan, M. A. M., Aljohani, A. A. A. M., & Alarood, M. I. U. A. A. (2022) · 網際網路技術學刊 · doi:10.53106/160792642022112306018 · Cited by 2

Review of the techniques and mechanisms for enhancing trust in internet of things for smart agriculture

Otieno, M. (2023) · Global Journal of Engineering and Technology Advances · doi:10.30574/gjeta.2023.15.1.0070 · Cited by 2

Perspective Chapter: 5G Enabling Technologies – Revolutionizing Transport, Environment, and Health

Adu‐Manu, K. S., Koranteng, G. A., & Brown, S. N. A. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.111671 · Cited by 2

Electric Energy Metering Error Evaluation Method Based on Deep Learning

Huang, T., Wu, Z., Zhan, W., Wang, C., & Lin, T. (2024) · Scalable Computing Practice and Experience · doi:10.12694/scpe.v25i3.2789 · Cited by 2

Foreground Information‐Aware Image Superresolution Reconstruction for Image Processing IoT Systems in Smart City

Cheng, Y., Li, C., Shao, X., & He, F. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/6196810 · Cited by 2

End-to-End Deep Policy Feedback-Based Reinforcement Learning Method for Quantization in DNNs

Babu, R. L., Gurumoorthy, S., Parameshachari, B. D., Nelson, S. C., & Hua, Q. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126622502322 · Cited by 2

An Expansion Planning Approach for Intelligent Grids with Speculative Parallelism

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Analysis on Millimeter-Wave Channel Dispersion Over Nonreciprocal Beam Patterns Based on the Propagation-Graph Model

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