Snášel / Chu / Pan Advances in Intelligent Data Analysis and Applications

Proceedings of the 9th Euro-China Conference on Intelligent Data Analysis and Applications, July 21-23, 2025, Ostrava, Czech Republic
Erscheinungsjahr 2026
ISBN: 978-3-032-13048-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 436 Seiten

Reihe: Smart Innovation, Systems and Technologies

The book is a collection of high-quality research papers presented at 9th Euro-China Conference on Intelligent Data Analysis and Applications, hosted by VSB-Technical University Ostrava, Czech Republic co-sponsored by Nanjing University of Information Science and Technology, China. The book covers areas like intelligent data analysis, computational intelligences, signal processing, and all associated applications of artificial intelligence.- Access Control System Using Facial Recognition on Raspberry Pi.- MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems

Zielgruppe

Research

Autoren/Hrsg.

Snášel, Václav

Chu, Chu-Chuan

Pan, Jeng-Shyang

Esposito, Anna

Kong, Lingping

Inhaltsverzeichnis

GSGOA Grouped and Scaled Gannet Optimization Algorithm.- An excellent multi stage adaptive perturbation tumbleweed algorithm for numerical optimization and analysis.- Surrogate assisted Tumbleweed Algorithm and Its Application To Engineering Optimization Problems.- DCTA Dynamic Cauchy Tumbleweed Algorithm.- Power Load Forecasting using Machine Learning Methods.- Critical Edge Guided Genetic Algorithm with Adaptive Mutation for Layer2 Network Optimization.- Scalable Tensor Ranking in Simplifying MultiCriteria Group Decision Making.- An Extension of Efficiency Improvement Models in Data Envelopment Analysis.- Statistical and Multimodal Patent Analytics for Decision Support A Clustering and Knowledge Graph Approach.- MTLM incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems.- An Enhanced Multi Party Immune Algorithm with Adaptive Mechanisms for Wireless Sensor Network Optimization.- A Study on the Linguistic Features of DeepSeek Generated Abstracts from the Perspective of Nominalization Metaphor.- Deep Learning Assisted Detection of Sarcopenia in Cross Sectional Computed Tomography Imaging.- Personalized Federated Learning with Local Aggregation Based on Particle Swarm Optimization.- A Reinforcement Learning Based Client Selection Strategy for Efficient Federated Learning.- Prophesying Credit Card Frauds using Predictive and Deep Transfer Learning A Comprehensive Experimental Perspective.- Detection of malicious network traffic with two stage XAI framework.- Comparing the Efficiency of Bank Branches using Financial Ratios and Data Envelopment Analysis.- A Multi Branch Enhanced Routing Attention Network for RGBT Tracking.- Comparative Phylogenetic Analysis of GPCRs Using ESM2 Embeddings and Traditional Sequence Alignment.- Combining Traditional Statistical Modeling and Large Language Models for Interpretable Cognitive Health Assessment in Aging Populations.- Automated Model for Diabetes Detection.- Storage Aware Evaluation of Sequential Pattern Mining over Synthetic Datasets.- Modified DipDECK Deep Clustering Algorithm with Dipbased $K$ means.- FineTuning ESM2 for Predicting Ageing Related Human Proteins.- Research on Enhancement Mechanism of Pseudo Defense Algorithm in Power Grid Network Security.- Research on Model Driven Network Security Space Construction and Multi Constraint Threat Detection Method for Power Monitoring System.- Design of Rapid Response and Disposal for Threats Based on SOAR Security Orchestration and Automated Response Technology.- Machine Learning for Smart Logistics and Routing A Review.- A Mathematical Stacking Ensemble Model for Prediction of Multiple Mental Disorders among Students.- Intelligent Threat Perception and Adaptive Defense System for Power IoT Edge Network Based on Multimodal Large Model.

Über Autor(innen)

Václav Snášel received a master's degree in numerical mathematics from the Faculty of Science, Palacky University, Olomouc, Czech Republic, in 1981, and the Ph.D. degree in algebra and number theory from Masaryk University, Brno, Czech Republic, in 1991. He is currently a full professor and the rector with the VŠB—Technical University of Ostrava, Czech Republic.

Chu-Chuan Chu graduated from National Taiwan University of Science and Technology in 1988 and received a Ph.D. in Faculty of Computer Science, Mathematics, and Engineering from Flinders University, Australia, in 2004. She has 17 years of experience in artificial intelligence research, including intelligent computing, data mining, information hiding, and machine learning. From 2004 to 2013, she worked in the Information Management Department of Cheng Shiu University in Taiwan. During this period, she implemented a total of 8 projects for the National Science Council of Taiwan, including chairing 3 projects and co-hosting 5 projects. From 2009 to 2019, she served as a research fellow and adjunct associate professor in the School of Science and Engineering at Flinders University. During her tenure, she also participated in several Australian Research Council research projects. From 2024, she served as a professor Nanjing University of Information Science and Technology, China.

Jeng-Shyang Pan is the professor and the dean of Artificial Intelligence Research Institute in Nanjing University of Information Science and Technology, China. He also got the part-time work in Shandong University of Science and Technology. He received the B.S. degree in Electronic Engineering from the National Taiwan University of Science and Technology in 1986, the M.S. degree in Communication Engineering from the National Chiao Tung University, Taiwan in 1988, and the Ph.D. degree in Electrical Engineering from the University of Edinburgh, U.K. in 1996. He has published more 500 papers indexed by SCI, the H-Index is 72 and the total cited times are more than 21000. He is the IET fellow, UK, and has been the vice chair of IEEE Tainan Section. He was Awarded Gold Prize in the International Micro Mechanisms Contest held in Tokyo, Japan, in 2010.

Anna Esposito received her “Laurea Degree” summa cum laude in Information Technology and Computer Science from University of Salerno in 1989 with a thesis on: The Behaviour and Learning of a Deterministic Neural Net (published on Complex System, vol 6(6), 507-517, 1992). She received her Ph.D. Degree in Applied Mathematics and Computer Science from University of Napoli “Federico II” in 1995. Her Ph.D. thesis on: Vowel Height and Consonantal Voicing Effects: Data from Italian (published on Phonetica, vol 59(4),197-231, 2002) was developed at Massachusetts Institute of Technology (MIT), Research Laboratory of Electronics (RLE), under the supervision of Professor Kenneth N Stevens. She has been Post Doc at the International Institute for Advanced Scientific Studies (IIASS), assistant professor at the Department of Physics at the University of Salerno (Italy), and research professor (2000–2002) at the Department of Computer Science and Engineering at Wright State University (WSU), Dayton, OH, USA.

Lingping Kong received a master's degree and Ph.D. degree in computer applied technology, Harbin Institute of Technology, Shenzhen, China, in 2013 and 2018. She is currently a senior Researcher at VSB—Technical University of Ostrava, Czech Republic. Her research interests include manifold optimization and manifold learning, deep neural network, graph neural network, its applications