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Proceedings of the 13th International Conference on Computer Engineering and Networks
Details
This book aims to examine innovation in the fields of computer engineering and networking. The text covers important developments in areas such as artificial intelligence, machine learning, information analysis, communication system, computer modeling, internet of things. This book presents papers from the 13th International Conference on Computer Engineering and Networks (CENet2023) held in Wuxi, China on November 3-5, 2023.
Covers emerging topics for computer engineering and networking and their applications Discusses how to improve productivity by using the latest advanced technologies Examines innovation in the fields of computer engineering and networking
Autorentext
Professor Yonghong Zhang, is a full professor, doctoral supervisor, currently serving as a professor and the Deputy Secretary of the Party Committee and President of Wuxi College. His main research areas include precision instruments and machinery, pattern recognition and intelligent systems, remote sensing information processing, and higher education teaching management and research. He has led more than 10 projects, including major research plans of the National Natural Science Foundation, international cooperation and exchange projects of the National Natural Science Foundation, and general projects of the National Natural Science Foundation and the Jiangsu Province Science and Technology Support Program. He has published over 40 academic papers in core and above journals, with over 20 indexed in SCI/EI. He has received a first-class national award for higher education teaching achievements and two provincial and ministerial awards for teaching and research achievements. Hehas been honored as a young academic leader in the Jiangsu Blue Project and has received high-level talent support as part of Jiangsu Province's "Six Talent Peaks" program.
Lianyong Qi (IEEE Senior Member), received his Ph.D degree from the Department of Computer Science and Technology, Nanjing University, China. In 2010, he visited the Department of Information and Communication Technology, Swinburne University of Technology, Australia. Now, he is a professor of the College of Computer Science and Technology, China University of Petroleum (East China), China. Before joining UPC, he is a professor of Qufu Normal University, China. His research interests include big data and recommender systems. He has published over 100 research papers in international journals (e.g., IEEE JSAC, IEEE TKDE, IEEE TFS, IEEE TSC, IEEE/ACM TCBB, IEEE TCC, IEEE TBD, IEEE TII, IEEE T-ITS, IEEE TCSS, IEEE TNSE, ACM TOMM, ACM TOSN, ACM TOIT, ACM TIST, etc) and international conferences (e.g., SIGIR, ICWS,ICSOC), including multiple Best/Outstanding Paper Awards. He is currently serving as the managing editor of Journal of Organizational and End User Computing (SCI/SSCI), editorial board of International Journal of Intelligent Systems, Nature Scientific Reports, etc. He has served as chairs of over ten international conferences, PC members of well-known conferences (including WWW, AAAI, IJCAI, CIKM, ECML-PKDD, ICSOC, ICWS, etc), and guest editors of reputable journals including IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Big Data, IEEE Transactions on Computational Social Systems, ACM Transactions on Autonomous and Adaptive Systems, ACM Transactions on Recommender Systems, etc. He is a recipient of CCF-Service Computing Committee-Young Talent Award.
Liu Qi is a professor, doctoral supervisor and Vice Director of School of Software, Nanjing University of Information Science & Technology. He holds the Marie Sklodowska-Curie Actions Individual Fellowship (MSCA-IF) and is a Senior Member of the IEEE, a Fellow of the Higher Education Academy (HEA) in the United Kingdom, and a member of the China Computer Federation (CCF) and the Computer Education Committee of the Jiangsu Computer Society. He has published more than 80 papers in high-level journals and international conferences both domestically and internationally. Liu Qi holds over 10 publicly disclosed invention patents, with 4 of them authorized and transferred. Additionally, he has been granted 5 utility model patents. According to Google Scholar, his papers have been cited over 6200 times, with an H-index of 38 and an i10 index of 96.
Guangqiang Yin, male, born in November 1982 in China, is a researcher and doctoral supervisor of the School of Information and Software Engineering, University of Electronic Science and Technology, and a national leader of high-level professionals in Shenzhen. Since 2016, he has worked as the director of the Public Security Technology Researc
Inhalt
Preconditioned USSOR Iterative Method for H-matrix Linear Systems.- Research on Airport Gate Allocation Problem based on NSGA- Algorithm.- IntentDetector: Research on Intent vulnerability mining technology based on Fuzzing technology.- A Method for Measuring the Heterogeneity of Mimicry Defense Executor Set.- A Review of Research on Instance Segmentation Based on Deep Learning.- An Event Relation Extraction Model for Database Alarm Based on Type-Guided Graph Attention Network and CNN.- Vector quantization improvement algorithm for controlling average distortion in the context of big data.- Double-blind Quantum Identity Authentication Protocol Based on Scalar Product Computation.- Chaotic System Image Encryption Algorithm Base RSA.- Real-time Grasp Detection Using Efficient Channel Attention.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789819992454
- Lesemotiv Verstehen
- Genre Electrical Engineering
- Editor Yonghong Zhang, Lianyong Qi, Xiaodong Liu, Guangqiang Yin, Qi Liu
- Sprache Englisch
- Anzahl Seiten 616
- Herausgeber Springer Nature Singapore
- Größe H235mm x B155mm x T31mm
- Jahr 2025
- EAN 9789819992454
- Format Kartonierter Einband
- ISBN 9819992451
- Veröffentlichung 02.02.2025
- Titel Proceedings of the 13th International Conference on Computer Engineering and Networks
- Untertitel Volume II
- Gewicht 1032g