AI-Based Solutions and Applications

Proceedings of AMDSP 2026, Volume 2
Erscheinungsjahr 2027
ISBN: 978-3-032-34495-3
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 412 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Smart Innovation, Systems and Technologies

The book is a collection of best selected research papers presented at the International Conference on AI-based Multidimensional Digital Signal Processing (AMDSP 2026), held in Shanghai, China during April 10–12, 2026. The book covers topics in signal processing theory and methods, computer vision and pattern recognition, speech signal processing, biomedical signal and image processing, multichannel signal processing, intelligent systems, intelligent networks, artificial neural networks, and many other related topics.

Zielgruppe

Research

Autoren/Hrsg.

Mironov, Rumen

Kountcheva, Roumiana

Draganov, Ivo

Palade, Vasile

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

Modern Smart Applications.-  A Study on Optimizing Collaborative Learning Groups and Enhancing Learning Outcomes for Undergraduates through Artificial.- Speed Tracking Control of Double-sided Flux-switching Permanent Magnet Linear Motor based on Model Predictive Current Control and Extended Kalman Filter Algorithm Intelligence.- Design and Algorithm Implementation of Interactive Visualization Teaching Tool for Engineering Data Processing.- Application of Data Augmentation and Transfer Learning Based on Improved Generative Adversarial Network (GAN) in Intelligent Health Diagnosis.- Study on Financing Efficiency of Yisheng Pharmaceuticals Based on DEA Modeling.- Research on the Strand Breaking Mechanism of Corrugated Aluminum Pipes for Jumper Wires of 330kV Equipment.- Evaluating Performance of BDS-3 PPP Time and Frequency Transfer.- Research on the Evaluation System of Adolescent Mental Health Status Integrating Physiological Signals and Behavioral Characteristics.- The Design of Small Target Recognition Based on Artificial Intelligence and Intelligent
Science System.- Application of Multimodal AIGC Technology in Cultural IP Image Construction.- A Multi-source Physiological Data Fusion Approach for Marathon Performance Prediction.- Optimization of Full-Marathon Stamina Distribution and Dynamic Pacing Strategies Based on Deep Reinforcement Learning.- Research on IoT-Driven Smart Management System for Computer Information Networks in Higher Education Institutions.- AI-Based Channel State Prediction and Channel Switching in Power Ad Hoc Networks.- Intelligent systems and technologies.-  Research on the Design and Application Strategy of Private College Counselor
Management System Based on Java.- PSO-Optimized Rail-Pressure State Estimation for Injection Quantity Observation in a Digital-Twin High-Pressure Common Rail System.- A Study on the Application of Intelligent Learning Platforms in English Language Teaching.- A Study on Algorithm Optimization for a Big Data-Driven Intelligent Accounting Decision Support System.- Study on Enhancing English Teaching Effectiveness in Digital Learning Environments.- Design of an English Learning System Integrating Image Recognition and Natural Language Processing.- Research on the Design and Innovative Strategy of a Psychological Health Monitoring Platform for College Students Based on Artificial Intelligence.- Research on the Design of Minor Online Live Streaming Data Supervision System
Based on Deep Learning and Legal Risk Prevention and Control Strategies.- Research on the Design and Application Strategy of a Learning Resource
Recommendation System for Entrepreneurship Foundation Smart Courses Based on Large Language Model and Knowledge Graph.- Design of an Artificial Intelligence Strategic Decision-Making System Based on Massive Data Processing.- Design of an Autonomous Navigation System for Goji Harvesting Machine Based on Visual Perception.- Design and Application of Personalized Music Recommendation System Based on Artificial Intelligence.- Research on Intelligent Detection System for Quality Defects in Nuclear Power Design Drawings Based on Deep Learning.- A College Student Career Planning System Based on Intelligent Recommendation and Data-Driven Approach.- Exploring Stock Prediction Based on Deep Learning and Sentiment Analysis.- Construction of a Computer Vision-Based Nuclear Medicine Image Analysis System.- An AI-driven Energy-saving Monitoring and Renovation Plan Generation System for the
Renovation of Old Buildings.- Design and Implementation of Intelligent Matching System for College Students' Innovation and Entrepreneurship Competitions Based on Complex Label Network.- Intelligent Optimization Design of Structural Parameters for Thermoelectric Systems Using an Integrated Improved Particle Swarm Algorithm.

Über Autor(innen)

Dr. Rumen Mironov received his MSc and PhD in Telecommunications from Technical University of Sofia and MSc in Applied Mathematics and Informatics from Faculty of Applied Mathematics and Informatics. Currently, he is an Associate Professor in the Faculty of Telecommunications and teaches Programming in Object Oriented Languages, Digital Signal Processing, Digital Image Processing, Audio and Video Communications over Internet and other subjects. His current research focuses on Multidimensional Signal Processing, Pattern Recognition, Audio and Video Communications, Information Systems, Computer Graphics, and Programming Languages. During his research activities Dr. Mironov participated in more than 20 national and international projects and is coordinator of 2 projects and published more than 120 papers. He is a member of IJBST Journal Group, Bulgarian Association of Pattern Recognition (IAPR) and Bulgarian Union of Automation and Automation Systems.

Dr. Roumiana Kountcheva got her M.Sc. and PhD at the Technical University of Sofia, Bulgaria and in 1992 she got the title Senior Researcher. At present, she is the Vice president of TK Engineering, Sofia. She had postgraduate trainings in Fujitsu and Fanuc, Japan. Her main scientific interests are in image processing, image compression, digital watermarking, pattern recognition, image tensor representation, neural networks, CNC and programmable controllers. She has more than 260 publications and 5 international patents (EU and USA). R. Kountcheva was the plenary speaker at 34 international scientific conferences and scientific events. She edited several books published in Springer SIST series and co-edited Special issues for Symmetry MDPI. She is a member of Bulgarian Association for Pattern Recognition.

Dr. Ivo Draganov received B.Sc., M.Sc. and Ph.D. in Telecommunications from Technical University of Sofia, Bulgaria, in 2003, 2005 and 2009. Currently, he is an Associate Professor in the Faculty of Telecommunications and teaches Programming in Assembler, Digital Design, Measurements in Telecommunications, Audio Systems and Speech Coding, Multimedia Systems, Digital Video Broadcasting and other subjects. His main areas of scientific research are digital image processing, pattern recognition, multimedia systems and neural networks. He is a member of the Editorial Board of the Computer & Communications Engineering Journal. During his research activities, Dr. Draganov participated in more than 10 national and international projects and published more than 100 papers. He is a member of IEEE.

Dr. Vasile Palade is Professor of Artificial Intelligence and Data Science in the Centre for Computational Science and Mathematical Modelling at Coventry University, UK. He previously held academic and research positions at the University of Oxford – UK, University of Hull – UK, and the University of Galati – Romania. His main research focus is on neural networks and deep learning for computer vision and natural language processing, in the context of applications from autonomous driving and smart cities area, sensor data processing for health and environmental applications, social network data analysis, among others. Prof. Palade is an author and co-author of more than 280 papers in reputed journals and conference proceedings as well as several books on machine learning and applications.