Edge computing for Industry 5.0: fundamental, applications and research challenges

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

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Industry 4.0: state of the art and future trends

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The expected contribution of Industry 4.0 technologies for industrial performance

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6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

Chowdhury, M. Z., Shahjalal, M. A., Ahmed, S., & Jang, Y. M. (2020) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2020.3010270 · Cited by 1,925

Industry 5.0: A survey on enabling technologies and potential applications

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Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

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A Survey on Metaverse: Fundamentals, Security, and Privacy

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6G Wireless Communications: Vision and Potential Techniques

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Survey on fog computing: architecture, key technologies, applications and open issues

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Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook

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AI-Driven SDN and Blockchain-Based Routing Framework for Scalable and Trustworthy AIoT Networks

Alharbi, M., Haseeb, K., & Humayun, M. (2025) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2025.073039 · Cited by 4

Federated multi-label feature selection via manifold sparse constraints and game-theoretic evolutionary ant colony optimization

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Unlocking IIoT Potential: A Systematic Review of AI Applications, Adoption Drivers, and Implementation Barriers

Magara, T., & Phahlane, M. M. (2026) · Applied AI Letters · doi:10.1002/ail2.70017 · Cited by 4

A glimpse on the futures of telecommunication networks: From market, technology and regulation trends to strategic foresight

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Virtual Machine Placement in Edge Computing Based on Multi-Objective Reinforcement Learning

Yi, S., Hong, S.-Y., Qin, Y., Wang, H., & Liu, N. (2025) · Electronics · doi:10.3390/electronics14030633 · Cited by 4

Blockchain-Based Edge Computing Service With Dynamic Entry and Exit Mechanism

He, Q., Feng, Z., Fang, H., Wang, X., Zhao, L., Yu, K., & Choo, K. R. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3570646 · Cited by 4

The Role of ESP32 in Enabling Industry 4.0 and 5.0: A Comprehensive Narrative Review of Edge Intelligence, Human-Centric Automation, and Sustainable InnovationPreprint

Ali, A., Ali, S. A., & Zaheer, N. (2025) · Preprints.org · doi:10.20944/preprints202508.0014.v1 · Cited by 4

Edge Computing: The Future Era of Cloud Computing-A Review

Madhura, K., Mahida, A., Naveen, S., Yashaswini, K. A., & Desai, U. (2025) · International Conference on Inventive Computing and Informatics (ICICI) · doi:10.1109/icici65870.2025.11069635 · Cited by 3

A patient-centric secure access control architecture with dynamic edge data integrity verification in Internet of Medical Things

Kaur, K., Rahman, S., Pal, S., & Karmakar, C. K. (2025) · Ad Hoc Networks · doi:10.1016/j.adhoc.2025.104055 · Cited by 3

A Low-Cost Energy-Efficient IoT Camera Trap Network for Remote Forest Surveillance

Lech, P., Marciniak, B., & Okarma, K. (2025) · Electronics · doi:10.3390/electronics14214266 · Cited by 3

Semi-asynchronous energy-efficient federated prototype learning for end-edge-cloud architectures

Luo, W., Yu, T., Dai, S., Guo, B., Lin, X., & Pu, Y. (2025) · Future Generation Computer Systems · doi:10.1016/j.future.2025.108351 · Cited by 3

Industry 4.0: Transforming the Future beyond Manufacturing

Tseng, C.-J., & Chang, M.-H. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1013120 · Cited by 3

MGRAuth: Sensor-Based Continuous Authentication With a Mixture-of-Experts Gated-Relation Autoencoder

Li, Y., He, Z., Zhao, W., Huang, H., & Deng, S. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3662267 · Cited by 3

Edge Computing Architectures for Real-Time Processing in Internet of Things Applications

Goswami, A., & Kadao, A. K. (2025) · International Academic Journal of Science and Engineering · doi:10.71086/iajse/v12i4/iajse1241 · Cited by 3

Machine learning in NTN-assisted IoT with UAVs: A computation–communication–control triad

Amodu, O. A., Hanapi, Z. M., Mahmood, R. A. R., Saif, F. A., Althumali, H., Jarray, C., Bukar, U. A., & Adam, M. S. (2026) · Computer Science Review · doi:10.1016/j.cosrev.2026.100987 · Cited by 3

The future of supply chain management in Industry 5.0: Emerging challenges and strategic opportunities

Sharma, M., Maurya, P., Hazra, A., & Tomar, A. (2026) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2026.117327 · Cited by 3

A profit-aware server deployment approach for edge computing

Wang, Z., Dong, H., Jin, X., & Chen, Y. (2024) · Computing · doi:10.1007/s00607-024-01357-z · Cited by 3

A multiagent architecture for Industrial Internet of Things safety applications

Barbosa, G. B. N., Sadok, D. F. H., Kelner, J., & Ribeiro, L. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.110495 · Cited by 3

An IoT-Enabled Secured Approach for Industrial Supply Chain Systems With Variational Autoencoders

Wang, G., Yang, C., Yan, J., Guo, J., Wang, Y., & Alsaedi, T. B. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3576257 · Cited by 3

Joint Optimization of Task Partial Offloading and Resource Allocation in a Dual-Blockchain-Enabled MEC System With Parallelism Constraints

Huang, X., Huang, T., Zhao, S., Xiang, W., Zhang, W., & Zhang, G. (2025) · IEEE Transactions on Communications · doi:10.1109/tcomm.2025.3610167 · Cited by 3

Comparative Performance and Cost Analysis of Computer Vision in Edge-Cloud Continuum

Guo, H., Asadi, N., Bartolomeo, G., Laufer, P., Ott, J., & Kellerer, W. (2025) · Proceedings of the 2025 ACM CoNEXT Workshop Edge-Cloud Collaboration for AI · doi:10.1145/3769696.3771218 · Cited by 3

Empowering the Workforce for Industry 5.0: Skills, Training, and Human-Centric Transformation

Jogarao, M., Prasad, J. S. D., & Sanjeevi, P. (2025) · Springer eBooks · doi:10.1007/978-981-95-0417-6_3 · Cited by 3

Optimal Strategy for Task Offloading and Resource Pricing Behavior Based on Blockchain

Zhai, X. M., Pang, S., Wang, N., Gui, H., & He, X. (2025) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2025.3551825 · Cited by 3

Real-Time Identification Technology for Encrypted DNS Traffic with Privacy Protection

Qin, Z., Yan, H., Zhang, B., Wang, P., & Li, Y. (2025) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2025.063308 · Cited by 3

Perspektif Masa Depan Robotika Kolaboratif dalam Ekonomi Digital Berbasis 6G

al Alim, A., Yuyen, G. F., Evangelina, I. G., & Lie, K. (2025) · Jurnal Ilmiah Sistem Informasi · doi:10.51903/8289x083 · Cited by 3

A Lossless Healthcare Data Compression Approach Using Near-Edge Computing

Rath, R. K., Sreeja, S. R., Hazra, A., & Nanda, R. (2025) · Springer eBooks · doi:10.1007/978-3-031-87837-4_4 · Cited by 3

Two step Federated Learning approach in Brain Stroke identification and classification via fine-tuning EfficientNetB0 network at Edge nodes

Turjya, S. M., Singh, R., Sarkar, P., Rout, S., Swain, S., & Bandyopadhyay, A. (2024) · IEEE India Council International Subsections Conference (INDISCON) · doi:10.1109/indiscon62179.2024.10744248 · Cited by 2

Edge, Fog, and Cloud Computing in Industry 5.0

Pradhan, A. K., Kumar, D., Mishra, M. K., & Singh, M. K. (2025) · Springer eBooks · doi:10.1007/978-3-031-87837-4_1 · Cited by 2

Cost and performance-effective dynamic VM type selection in auto-scaling using reinforcement learning

Abdullah, M., Munir, R., Iqbal, W., Khan, S. A., Baig, S. U. R., & Erradi, A. (2025) · Computing · doi:10.1007/s00607-025-01535-7 · Cited by 2

How intelligence is reshaping today: IoE edge networks?

Jamil, S. U., Khan, M. A., Rahman, M. A., Paracha, M. A., Zia, T. A., Rahman, S. S., & Ahmed, S. B. (2025) · Internet of Things · doi:10.1016/j.iot.2025.101717 · Cited by 2

A Comparative Analysis of 5G and WiFi6 for VR Immersive Education

Aljohani, K., Kizilkaya, B., Hussain, S., Abbasi, Q. H., Imran, M. A., & Ansari, S. (2025) · International Conference on Virtual Reality · doi:10.1109/icvr66534.2025.11172602 · Cited by 2

AFedSLL-LDL: a framework based-on federated self-supervised learning and lightweight deep learning for attack detection in serverless edge computing

Bazargani, M., Esfahani, S. T., Heidari, B., shabestary, R. H., & Forghani, M. (2025) · Cluster Computing · doi:10.1007/s10586-025-05673-7 · Cited by 2

Lightweight Federated Learning for Terminal-Edge-Cloud With Two-Step Privacy Protection in Consumer Electronics

Chen, C., Xu, X., Zhang, Y., Bilal, M., & Xiang, H. (2025) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2025.3627792 · Cited by 2

FedFA: Efficient federated large language models with feature adapters

Zhang, L., Ao, X., Guo, S., & Qiao, D. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.130894 · Cited by 2

Multi-Dimensional Feature Extraction and Classification Method for Industrial Noise Integrating Wavelet Transform and Machine Learning

Liu, W., & Luo, Q. (2026) · IEEE Access · doi:10.1109/access.2026.3654955 · Cited by 2

SAFVIN: Edge Intelligence for Satellite and Autonomous Farm Vehicle Integrated Networks

Li, D., Yin, B., Yan, D., Liu, J., Xing, G., & Li, Z. (2026) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2026.3665486 · Cited by 2

Quantum Computing Based Edge Intelligence for Enhancing the Efficiency and Scalability of IoT Applications

Akula, N. V. C., Kumar, P. K., Jerith, G. G., Varshith, R., Sreeja, O., & Prashanth, M. (2025) · International Conference on Computational Intelligence and Network Systems (CINS) · doi:10.1109/cins67018.2025.11412152 · Cited by 2

Blockchain-driven trust management and AI computing for sensor networks optimization

Alharbi, M., Haseeb, K., Jhanjhi, N. Z., Khan, A., Humayun, M., & Khan, M. A. (2026) · Scientific Reports · doi:10.1038/s41598-026-41302-y · Cited by 2

Laser Doppler vibrometers on moving platforms: advancements, challenges, and future opportunities

Zeng, Y., Núñez, A. A., Rembe, C., & Li, Z. (2026) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2026.114312 · Cited by 2

Unmanned-Aerial-Vehicle Trajectory Planning for Reliable Edge Data Collection in Complex Environments

Xiang, Z., Ying, F., Xue, X., Peng, X., & Zhang, Y. (2025) · Biomimetics · doi:10.3390/biomimetics10020109 · Cited by 2

GAPSO: Cloud-Edge-End Collaborative Task Offloading Based on Genetic Particle Swarm Optimization

Wen, W., Huang, Y., Xiao, Z. M., Tan, L., & Zhang, P. (2025) · Symmetry · doi:10.3390/sym17081225 · Cited by 2

A QoE-Driven Efficient Task Scheduling Method for Symbiotic Internet of Things in Industrial Intelligent Manufacturing Systems

Lan, Y., Zhao, S., Guo, Z., Pang, B., Jiang, W., Zhao, H., & Xia, H. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3590103 · Cited by 2

Data Analytics in Industry 5.0: Transforming Processes with Insights

Mummidivarapu, S., Hazra, A., & Halavar, B. (2025) · Springer eBooks · doi:10.1007/978-3-031-87837-4_5 · Cited by 2

ECDSA-secured blockchain architecture for interoperable healthcare in the Internet of Robotic Things (IoRT)

Echikr, A., Yachir, A., Kerrache, C. A., & Sahraoui, Z. (2024) · Information Security Journal A Global Perspective · doi:10.1080/19393555.2024.2399515 · Cited by 2

An Enhanced Grey Wolf Optimization Algorithm for Efficient Task Scheduling in Mobile Edge Computing

Aminu, J., Latip, R. B., Hanafi, Z. M., Kamarudin, S. K., Kangiwa, B. U., & Liman, A. (2024) · International Journal of Computer Applications · doi:10.5120/ijca2024924287 · Cited by 2

Embracing Edge Computing: Elevating Marketing Intelligence Across Asian Business Horizons

Mohanty, P., & Vasudev, K. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83662-560-520251006 · Cited by 2

Research on real-time control system for industrial robots combined with edge computing

Wang, J., Liu, J., & Lin, C. (2025) · International Conference on Mechatronics, Robotics, and Artificial Intelligence (MRAI) · doi:10.1109/mrai65197.2025.11135661 · Cited by 2

Cloud Robotics and Automation

Hegde, S. K., Hegde, R., & Thangavel, M. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-1914-7.ch004 · Cited by 2

WMSNs Data Hidden Anomaly Detection Based on OH-KFJLT Bloom Filter

Xiao, C., Li, Z., & Wu, Y. (2024) · IEEE Access · doi:10.1109/access.2024.3494264 · Cited by 1

Task Scheduling in Edge Network System Using Resource Interleaving and Reinforcement Learning

Pei, X., Hu, Y., Dong, Y., & Li, D. (2025) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2024edl8095 · Cited by 1

Role of Edge Computing in IoT

Singh, P., Gautam, P., & Arya, N. (2025) · IEEE International Conference on Communication Systems and Network Technologies (CSNT) · doi:10.1109/csnt64827.2025.10968010 · Cited by 1

Theoretical modelling for accurate prediction of transient rapid temperature rise variation within whole tool tip area

Zheng, L., Zhao, J., Liu, Z., Wang, B., Ren, X., & Wang, P. (2025) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2025.126888 · Cited by 1

Innovative approaches to parallel processing in constrained IoT environments

Albalawi, N. S. (2025) · Computing · doi:10.1007/s00607-025-01514-y · Cited by 1

Satellite Payload Noncooperative Tactical Communication Signal Monitoring: Dataset and IoT Edge Computing Method

Shen, L., Cui, W., Lu, Y., & Zhang, H. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3583716 · Cited by 1

Joint task caching and privacy protecting task offloading for edge computing in industrial internet

Chen, Y., Zhang, H., Jin, X., Liu, H., & Wang, Z. (2025) · Computing · doi:10.1007/s00607-025-01500-4 · Cited by 1

Quantum-Inspired PSO Based User Allocation in Edge Computing Systems

Bey, M., Kuila, P., & Naik, B. B. (2025) · International Conference on Recent Advances in Information Technology · doi:10.1109/rait65068.2025.11089402 · Cited by 1

Cooperative Evolutionary Computation for Multi-Rat Edge Computing

Shao, Z.-K., Gao, K., Hahm, G.-J., Cheon, K., Kwon, H., Park, S., Zhou, C., Zheng, Z., & Jeon, S.-W. (2025) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2025-spring65109.2025.11174533 · Cited by 1

Transforming healthcare through emergent technologies

Lamba, M., Dhull, A., Lamba, J., & Singh, A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-26747-5.00011-2 · Cited by 1

Lightweight Adaptive PPO-AHP Enhanced Algorithm for Task Offloading in Vehicular Edge Computing

Zhi, W., Fang, H., Tang, J., & Xu, Y. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11229128 · Cited by 1

From Smart Cities to Manufacturing: A Comprehensive Study on Digital Twin Applications and Barrier

Pathri, B. P., & Ganduri, K. V. (2025) · Digital twins and applications. · doi:10.1049/dgt2.70014 · Cited by 1

Log Anomaly Detection on Edge Devices Using Robust Principal Component Analysis

Yang, R., Deng, F., Liu, T., & Han, A. (2025) · International Conference on Computer Systems (ICCS) · doi:10.1109/iccs67844.2025.11292191 · Cited by 1

Research on Intelligent Monitoring of Offshore Structure Damage Through the Integration of Multimodal Sensing and Edge Computing

Yang, K., Yang, K., Zeng, S., Zhang, Y., & Zhang, D. (2025) · International Electronic Conference on Sensors and Applications (ECSA) · doi:10.3390/ecsa-12-26605 · Cited by 1

Real-time reconstruction of monitoring information for flight control electric actuation systems towards high-autonomy aerospace vehicles

Qin, Y., & Ma, C. (2026) · Measurement · doi:10.1016/j.measurement.2026.120346 · Cited by 1

Research on an Efficient Cross-Domain Authentication Scheme that is Based on Blockchain and Edge Computing

Xu, C., Yi, R., & Sun, T. (2026) · Communications in computer and information science · doi:10.1007/978-981-95-5294-8_37 · Cited by 1

Brain-Inspired Reservoir Computing with Dynamic Memristors for Audio-Visual Emotion Recognition

Wan, S., Wang, Y., Chen, H., Qian, R., Li, S., Xu, R., & Chen, X. (2026) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5c23369 · Cited by 1

A Theoretical Framework for Industry 6.0 Using 6G-Driven Edge Intelligence

Babbar, N., Bendale, S. P., & Sharma, A. K. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-10664-3_3 · Cited by 1

Deep reinforcement learning with evolved actions for dynamic workflow scheduling in distributed fog computing

He, Y., Xu, Z., Lin, J., Li, Y., & Zhang, S. (2026) · Neurocomputing · doi:10.1016/j.neucom.2026.133115 · Cited by 1

Ensuring Data Accuracy, Completeness, and Interpretation in Advanced Manufacturing

Eskue, N., & Macali, A. (2026) · Applied Sciences · doi:10.3390/app16052409 · Cited by 1

Intelligent Post-Quantum Cryptography for Secure Consumer Internet of Things Networks

Ahmad, I., Yang, L., Alkhrijah, Y. M., Alawad, M. A., Almadhor, A. S., & Peng, L. (2026) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2026.3671160 · Cited by 1

A critical review on interplay of water-energy-carbon nexus and circular economy in petrochemical industry enabled by digital intelligence

Zhang, H., Tan, Z., Zheng, L., Zhang, B., He, C., Ma, Z., Liu, Z., Liu, Z., & Chen, Q. (2026) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2026.117017 · Cited by 1

A Dual Approach to Intrusion Detection in Edge Environments: Offline and Online Perspectives

Kumar, A., Kumar, V., & Bhadauria, A. P. S. (2026) · SN Computer Science · doi:10.1007/s42979-026-04978-7 · Cited by 1

Virtual reality-enabled embodied intelligence: An adaptive planning method for coordinated dual-arm grasping

Du, R., Xie, J., Wang, X., Wang, X., Liu, G., Liu, S., & Guo, X. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.132714 · Cited by 1

Digital twin-empowered sustainable remanufacturing of high-value components: a review of intelligent repair strategies

Nandi, S., Mukherjee, M., & Das, S. K. (2026) · Computers & Industrial Engineering · doi:10.1016/j.cie.2026.112251 · Cited by 1

Smart industrial information integration: a lightweight privacy protection model in an intelligent manufacturing architecture

Yang, M., Huang, G., Liao, Y., Wang, L., Wang, Q., Chen, X., & Shen, C. (2024) · Journal of Engineering Design · doi:10.1080/09544828.2024.2377069 · Cited by 1

Yapay Zekâ Destekli Karar Destek Sistemleri ve Yönetim Bilişim Sistemlerine Entegrasyonu

Sinap, V. (2025) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub700.c2985 · Cited by 1

Energy 6.0 In Industry 6.0: A Review Of Perspective Development

ZHIRONKIN (2025) · Acta Montanistica Slovaca · doi:10.46544/ams.v30i1.05 · Cited by 1

Weight nonlinear mapping based memristor crossbar array implementation scheme for convolutional neural network off-chip training

Lin, Z., Chen, Z., Zhang, J., Deng, J., Wu, X., & Feng, Y. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.129277 · Cited by 1

Guardians of the Grid

Kumar, R., Malhotra, M., & Reddy, C. K. K. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-3551-3.ch004 · Cited by 1

Whole dataset context-aware prediction on the null values in time series data for faster inferencing with low complexity

Akhter, S., Mahbub, N. I., Park, J., & Huh, E. (2025) · Information Processing & Management · doi:10.1016/j.ipm.2025.104370 · Cited by 1

Resource Allocation and Beamforming Design for Active STAR-RIS-Assisted Wireless-Powered MEC

Qin, X., Yu, W., Ni, Q., Song, Z., Hou, T., Wang, J., & Sun, X. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3612102 · Cited by 1

Social and ethical solutions to defeat cyber attacks in edge computing

Joshua, R. G., Gbadega, P. A., & Tofade, S. O. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-34109-0.00003-6 · Cited by 1

Drone-integrated supply chain management in the era of Web 3.0: current state, trends and future directions

Chen, X., Wang, Y., Jia, F., & Qian, X. (2025) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2025.2589229 · Cited by 1

High-Level Synthesis-Based FPGA Hardware Architecture for PCA+SVM for Real-Time Processing on Edge Computing Platforms

Mohsin, M. A., & Perera, D. G. (2025) · IEEE Access · doi:10.1109/access.2025.3645763 · Cited by 1

Introduction to IoT and IIoT security

Mangalampalli, S. S., Choppara, P., & Khan, M. S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-44-338297-0.00007-6 · Cited by 1

Digital twin-assisted modular fast switching technology of assembly line

Li, K., & Shi, A. (2026) · Engineering Research Express · doi:10.1088/2631-8695/ae3ed3 · Cited by 1

Edge-Assisted Intelligent Routing Framework for Reliable Data Collection in UAV Networks Using Reinforcement Learning

Andreou, A., Mavromoustakis, C. X., Mastorakis, G., Bourdena, A., & Markakis, E. (2025) · IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) · doi:10.1109/nfv-sdn66355.2025.11349636 · Cited by 1

DRL-based privacy-preserving video streaming task offloading under energy constraints in MEC

Chen, H., Peng, Y., Wei, C., Meng, T., Ai, W., He, Z., & Li, K. (2026) · Computer Networks · doi:10.1016/j.comnet.2026.112164 · Cited by 1

Federated multi-label text feature selection via manifold-aware sparse modeling and cooperative grey wolf optimization

Zheng, Y., Ye, Z., Zhang, S., & Wang, K. (2026) · Scientific Reports · doi:10.1038/s41598-026-46223-4 · Cited by 1

Energy-Efficient and Load-Balanced Edge-Driven Vehicular Network Using Intelligent Task Offloading

Haseeb, K., Nasir, M., Jhanjhi, N. Z., & Humayun, M. (2026) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2026.079584 · Cited by 1

Research on Key Evaluation Indicators and a Measurability Framework for the Development Level of Chinese Manufacturing Industry 6.0

Li, B., & Leong, W. Y. (2026) · Technologies · doi:10.3390/technologies14050292 · Cited by 1

Design of an Intelligent IoT Platform Based on the Synergy of Edge Computing and Cloud Computing

Wei, J., Ni, M., 郭乔进, Yu, Z., & Liu, S. (2026) · Journal of big data and computing. · doi:10.62517/jbdc.202601104 · Cited by 1

Enabling the Energy Transition: Policy-Driven Edge Computing Innovations for Sustainable Oil and Gas Sector Management

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