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 1012, 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.

Presents research works in AI-based multidimensional digital signal processing Gather the outcomes of AMDSP 2026, held in Shanghai, China Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

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.

Inhalt

Algorithms and Architectures.- Interference Signal Recognition Based on Time-Frequency Features and an Interpretable Decision Tree.- Sea Target Recognition Algorithm Based on Improved YOLOv8.- Cochlear Microphonics and Compound Action Potential of FM Bats.- QRSRNet: Structure-aware and Recognition-enhanced Super-resolution for Degraded QR Code Images.- Analysis of Quadratic Phase Interference Fringes based on the Inverse Fractional Fourier Transform.- A Transformer-Based Load Prediction Mechanism with Dual Encoder Architecture.- SDC-YOLO: Rapid and Accurate Detection of Pomegranate Fruitlets Under Similar Background.- Design of Particle Swarm Optimization Algorithm for Architectural Acoustics and Verification of Indoor Sound Field Simulation.- A Fault-tolerant Routing Algorithm for Network-on-chip Using Ant Colony Optimization.- Small Object Detection in UAV Image based on Improved YOLOv7-tiny.- Research on Identification Algorithm of Ground Penetrating Radar for out of Pipeline Disease of Drainage Pipeline.- Research on Application Performance of Artificial Intelligence Deep Learning Algorithm in Image Recognition.- Intelligent Models.- Research on Quantitative Analysis Competitiveness based on Multidimensional Dynamic Modeling.- Construction and Intervention Strategy Research of Mental Health Prediction Model for Private College Students Based on Data Mining and XGBoost Algorithm.- Study on Urban Waterlogging Depth Forecasting Model in Ruian City.- A Study on the English Writing Teaching Model Based on Artificial Intelligence and Image Processing.- An Intelligent Evaluation Model for Cross-Cultural Discourse Comprehension
Based on Deep Semantic Matching.- A Study on the Pedagogical Model of Multimodal Image-Assisted English Reading Comprehension.- Performance Evaluation of Transformer-XGBoost Fusion Model for Retail Consumption Data Forecasting.- Music Style Classification and Identification Model based on Machine Learning
Algorithm.- Hierarchical Architecture-Based Lightweight Adaptation of Large Language Models for Electric Power Customer Service.- Voice Synthesis based on Hierarchical Diffusion Models.- Research on the Construction of the Job-Match Model for the AI Large Model.- Methods and Technologies.- Research on Access Authentication Technology based on POWERLINK Industrial Ethernet.- SPE-YOLO: A Compact Structure-focused Network for Multi-scale Object Identification in Autonomous Driving.- Adaptive Human Eye Sweep Path Prediction Based on Reinforcement Learning.- Application of the Integration Method of Large Model Tools and Traditional Development Tools in Road Transport Vehicle Review Business Processing.- Objective Evaluation Method of Comfort of Autonomous Driving Based on Bionic Robot.- Construction of an Intelligent Deep Learning Framework for Generating Knitted Patterns based on Quality Feedback.- Wind Speed Measurement Method Using Unmanned Aerial Vehicles based on Particle Filtering.- A Comparative Study on the RUL of Turbofan Engines Based on XGBoost and
Random Forests.- LwLLM-Research and Application of Lightweight Adaptation Technology for 95598 Intelligent Customer Service Large Model.- Efficient Numerical Computation Method for Water-driven Reservoirs based on Deep Learning.- Research on Interactive Music Accompaniment Generation Method Based on Video Object Detection and Trajectory Analysis.