Suchergebnisse - "Ding, Jianguo"

A novel hybrid approach to detect clients in federated learning for industrial internet of things.

Autoren: Qammar, Attia Wang, Hongmei Ding, Jianguo et al.

Quelle: International Journal of Machine Learning & Cybernetics; Nov2025, Vol. 16 Issue 11, p9253-9269, 17p

Model-Based Cybersecurity Analysis: Extending Enterprise Modeling to Critical Infrastructure Cybersecurity

Autoren: Jiang, Yuning Jeusfeld, Manfred A. Ding, Jianguo et al.

Quelle: Business & Information Systems Engineering. 65(6):643-676

Schlagwörter: Critical infrastructure, Domain-specific language, Cybersecurity, Power grids, Telekommunikationssystem, Telecommunication Systems, Datavetenskap, Computer Science, Software Engineering, Programvaruteknik

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-24497
https://doi.org/10.1007/s12599-023-00811-0

Leveraging Digital Twin Technology for Enhanced Cybersecurity in Cyber–Physical Production Systems

Autoren: Jiang, Yuning Wang, Wei Ding, Jianguo et al.

Quelle: Future Internet. 16(4)

Schlagwörter: asset visibility, cybersecurity, cyber–physical system (CPS), dependence analysis, digital twin (DT), manufacturing system, mitigation prioritization, Network security, Visibility, Cybe-physical systems, Cyber physicals, Cyber security, Cyber-physical systems, Cybe–physical system, Digital twin, Prioritization

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26191
https://doi.org/10.3390/fi16040134

Blockchain for Smart Grid Operations, Control and Management

Autoren: Ding, Jianguo Tadesse Aklilu, Yohannes

Quelle: Elnätens digitalisering och IT-säkerhet.

Schlagwörter: Smart grid, blockchain, smart grid management, smart grid control and operation, renewable energy, decentralized framework, decentralized management

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-22286
https://energiforsk.se/program/elnatens-hallbara-teknikutveckling-och-digitalisering/rapporter/blockchain-for-smart-grid-operations-control-and-management-2022-888/

Detecting and Predicting Models for QoS Optimization in SDN.

Autoren: Wassie, Getahun Ding, Jianguo Wondie, Yihenew et al.

Quelle: Journal of Computer Networks & Communications; 10/28/2024, Vol. 2024, p1-9, 9p

Schlagwörter: MACHINE learning, IP networks, WIRELESS Internet, RANDOM forest algorithms, QUALITY of service, DEEP learning

Traffic prediction in SDN for explainable QoS using deep learning approach

Autoren: Wassie, Getahun Ding, Jianguo Wondie, Yihenew

Quelle: Scientific Reports. 13(1)

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-25780
https://doi.org/10.1038/s41598-023-46471-8

Blockchain-based optimized edge node selection and privacy preserved framework for federated learning.

Autoren: Qammar, Attia Naouri, Abdenacer Ding, Jianguo et al.

Quelle: Cluster Computing; Jun2024, Vol. 27 Issue 3, p3203-3218, 16p

Schlagwörter: FEDERATED learning, BLOCKCHAINS, DATA privacy, ARTIFICIAL neural networks, PRIVACY

Survey on blockchain for smart grid management, control, and operation

Autoren: Aklilu, Yohannes T. Ding, Jianguo

Quelle: Energies. 15(1)

Schlagwörter: Blockchain, Smart grid, Smart grid control and operation, Smart grid management, Electric power system control, Electric power transmission networks, Information management, Smart power grids, Block-chain, Grid control, Grid management, Grid operation, Management control, Management operation, Power- generations

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-22546
https://doi.org/10.3390/en15010193

Study on the dynamic internal force and higher-order vibration mode coupling effect of explosion-resistant chamber under complex explosion conditions: Numerical simulation analysis based on ANSYS software.

Autoren: Wang, Chongyu Ding, Jianguo

Quelle: Journal of Physics: Conference Series; 2025, Vol. 3021 Issue 1, p1-8, 8p

AI-Enabled Text-to-Music Generation: A Comprehensive Review of Methods, Frameworks, and Future Directions.

Autoren: Zhao, Yujia Yang, Mingzhi Lin, Yujia et al.

Quelle: Electronics (2079-9292); Mar2025, Vol. 14 Issue 6, p1197, 53p

Schlagwörter: LANGUAGE models, NATURAL language processing, ARTIFICIAL intelligence, MUSICAL composition, PART songs

A novel microbial agent reduces soil paclobutrazol residue, enhances enzyme activities and increases Ophiopogon japonicus production.

Autoren: Jiang, Xiaojun Wang, Huadong Huang, Yi et al.

Quelle: PeerJ; Feb2025, p1-22, 22p

Schlagwörter: SUSTAINABLE agriculture, SUSTAINABILITY, SODIC soils, AGRICULTURE, PACLOBUTRAZOL

Artificial Intelligence-Enabled Metaverse for Sustainable Smart Cities: Technologies, Applications, Challenges, and Future Directions.

Autoren: Lifelo, Zita Ding, Jianguo Ning, Huansheng et al.

Quelle: Electronics (2079-9292); Dec2024, Vol. 13 Issue 24, p4874, 44p

Schlagwörter: GENERATIVE artificial intelligence, LANGUAGE models, NATURAL language processing, COMPUTER vision, ARTIFICIAL intelligence, DEEP learning

Survey on blockchain for smart grid management, control, and operation

Autoren: Tadesse, Yohannes Ding, Jianguo

Index Begriffe: Blockchain, Smart grid, Smart grid control and operation, Smart grid management, Electric power system control, Electric power transmission networks, Information management, Smart power grids, Block-chain, Grid control, Grid management, Grid operation, Management control, Management operation, Power- generations, Other Electrical Engineering, Electronic Engineering, Information Engineering, Annan elektroteknik och elektronik, Article, review/survey, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20856
Energies, 2022, 15:1

Securing federated learning with blockchain: a systematic literature review.

Autoren: Qammar, Attia Karim, Ahmad Ning, Huansheng et al.

Quelle: Artificial Intelligence Review; May2023, Vol. 56 Issue 5, p3951-3985, 35p

Schlagwörter: DISCLOSURE, CONCEPT learning, BLOCKCHAINS, RESEARCH questions, COLLABORATIVE learning, MACHINE learning

Evaluating the Data Inconsistency of Open-Source Vulnerability Repositories

Autoren: Jiang, Yuning Jeusfeld, Manfred A. Ding, Jianguo

Index Begriffe: Cybersecurity, Data Inconsistency, Vulnerability Analysis, Computer Systems, Datorsystem, Information Systems, Systemvetenskap, informationssystem och informatik, Conference paper, info:eu-repo/semantics/conferenceObject, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19849
ARES 2021 : The 16th International Conference on Availability, Reliability and Security, p. 1-10

Optimal design of the dynamic performance of the ultra-precision fly cutting machine tool.

Autoren: Ding, Yuanyuan Rui, Xiaoting Chang, Yu et al.

Quelle: International Journal of Advanced Manufacturing Technology; Jan2023, Vol. 124 Issue 1/2, p567-585, 19p, 2 Color Photographs, 1 Black and White Photograph, 11 Diagrams, 5 Charts, 14 Graphs

Schlagwörter: CUTTING machines, CUTTING tools, FLYING machines, MACHINE tools, WORKPIECES, FINITE element method, SURFACE topography

Functional analysis revealed the involvement of ZmABCB15 in resistance to rice black-streaked dwarf virus infection.

Autoren: Yue, Runqing Sun, Qi Ding, Jianguo et al.

Quelle: BMC Plant Biology; 10/11/2022, Vol. 22 Issue 1, p1-12, 12p

Schlagwörter: VIRUS diseases, FUNCTIONAL analysis, RICE, IMMOBILIZED proteins, TRANSIENT analysis, AUXIN

A multi-strategy ontology mapping method based on cost-sensitive SVM.

Autoren: Zhang, Fan Yang, Peichen Li, Rongyang et al.

Quelle: Journal of Cloud Computing (2192-113X); 9/27/2024, Vol. 13 Issue 1, p1-14, 14p

Schlagwörter: SUPPORT vector machines, DEEP learning, VECTOR data, ONTOLOGIES (Information retrieval), ONTOLOGY, CLASSIFICATION

Human digital twin: a survey.

Autoren: Lin, Yujia Chen, Liming Ali, Aftab et al.

Quelle: Journal of Cloud Computing (2192-113X); 8/15/2024, Vol. 13 Issue 1, p1-21, 21p

Schlagwörter: DIGITAL twin, DIGITAL technology, EVERYDAY life

Co-Kriging model-based multi-fidelity regression for refining milling stability predictions of variable tool overhang length using limited experimental data.

Autoren: Deng, Congying Ding, Huiling Miao, Jianguo et al.

Quelle: International Journal of Production Research; Apr2025, Vol. 63 Issue 7, p2577-2598, 22p

Schlagwörter: AFFINE transformations, PRODUCTION planning, CUTTING force, MACHINING, FORECASTING