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3D Imaging-Multidimensional Signal Processing and Deep Learning de Srikanta Patnaik

3D Imaging-Multidimensional Signal Processing and Deep Learning

Editat de Srikanta Patnaik, Roumen Kountchev, Yonghang Tai, Roumiana Kountcheva
en Limba Engleză Paperback – 2 apr 2025

Diferențiindu-se de documentația tehnică standard prin abordarea integrată a procesării semnalelor multidimensionale, 3D Imaging-Multidimensional Signal Processing and Deep Learning oferă o perspectivă riguroasă asupra convergenței dintre viziunea computerizată și inteligența artificială. Considerăm că valoarea acestui volum rezidă în capacitatea de a transpune teorii complexe ale tensorilor de imagine în aplicații practice imediate. Ca și Roumen Kountchev în Multidimensional Signal Processing: Methods and Applications, editorii distilează experiență reală în principii acționabile, oferind soluții pentru gestionarea datelor eterogene și a stocării masive de imagini.

Apreciem organizarea tematică a volumului, care debutează cu o analiză a rețelelor temporale și progresează spre metode de reprezentare a cunoașterii sub condiții de incertitudine. Cuprinsul relevă o acoperire vastă, de la algoritmi de descoperire a vecinilor de rețea prin antene direcționale, până la utilizarea modelelor numerice 2D. În contextul operei editorilor, această lucrare completează temele explorate în AI Methods and Applications in 3D Technologies, mutând însă accentul pe procesarea primară a semnalului și pe transformările necesare pentru realitatea augmentată.

Studiile incluse, precum cele despre segmentarea semantică în minerit sau modelarea 3D în structuri mecanice, demonstrează versatilitatea tehnologiilor prezentate. Structura narativă a volumului ghidează cititorul de la fundamentele procesării de imagine către complexitatea deep learning-ului, oferind un cadru tehnic solid pentru cercetătorii care urmăresc tendințele viitoare în achiziția și analiza datelor multidimensionale.

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Specificații

ISBN-13: 9789819911479
ISBN-10: 9819911478
Pagini: 296
Ilustrații: XIII, 280 p. 150 illus., 92 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:1st ed. 2023
Editura: Springer
Locul publicării:Singapore, Singapore

De ce să citești această carte

Această carte se adresează inginerilor de sistem și cercetătorilor în inteligență artificială care au nevoie de o bază teoretică și practică în procesarea imaginilor 3D. Cititorul câștigă acces la metodologii avansate de stocare a datelor masive și tehnici de deep learning aplicate în medicină și teledetecție. Este un instrument esențial pentru înțelegerea modului în care algoritmii de procesare a semnalelor pot fi optimizați pentru aplicații de realitate virtuală și digital twin.

Despre autor

Colectivul de editori este condus de Srikanta Patnaik și regretatul Roumen Kountchev, personalități marcante în domeniul informaticii și procesării de semnal. Srikanta Patnaik este profesor de informatică cu o vastă experiență în inteligență artificială, în timp ce Roumen Kountchev a fost un pionier în procesarea imaginilor multidimensionale la Universitatea Tehnică din Sofia. Împreună, aceștia au coordonat numeroase conferințe internaționale și volume de specialitate publicate de Springer, contribuind fundamental la dezvoltarea algoritmilor de compresie a imaginilor și a sistemelor de recunoaștere a formelor la nivel global.

Descriere scurtă

This book presents high-quality research in the field of 3D imaging technology. The fourth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first three editions of the conference to provide a wide scientific forum for researchers, academia and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in 2 volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.

Notă biografică

Dr. Srikanta Patnaik is presently working as Director of International Relation and Publication of SOA University, Bhubaneswar, India. He is a full professor in the Department of Computer Science and Engineering, SOA University. He received his Ph. D. on Computational Intelligence from Jadavpur University, India in 1999. He has supervised more than 25 Ph. D. Theses and 60 Master theses in the area of Computational Intelligence, Machine Learning, Soft Computing Applications and Re-Engineering and has published around 100 research papers in international journals and conference proceedings. He is author of 2 text books and 52 edited volumes and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. He is the Editor-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and International Journal of Computational Intelligence in Control, published by MUK Publication, Editor of Journal of Information and Communication Convergence Engineering and Associate Editor of Journal of Intelligent and Fuzzy Systems (JIFS), which are all Scopus Index journals.  He is also Editors-in-chief of Book Series on “Modeling and Optimization in Science and Technology” published from Springer, Germany and Advances in Computer and Electrical Engineering (ACEE) and Advances in Medical Technologies and Clinical Practice (AMTCP), published by IGI Global, USA. Dr. Patnaik is a member of Institute of Electrical and Electronics Engineering (IEEE) and Association for Computing Machinery (ACM), Fellow of IETE, Life Member of ISTE, CSI, and Orissa Information Technology Society (OITS).

Roumen Kountchev, Ph.D., D. Sc. is a professor at the Faculty of Telecommunications, Department of Radio Communications and Video Technologies at the Technical University of Sofia, Bulgaria. His scientific areas of interest are: digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. Prof. Kountchev has 420 papers published in magazines and conference proceedings; 20 books; 48 book chapters; 20 patents. At present he is a member of Euro Mediterranean Academy of Arts and Sciences and the President of the Bulgarian Association for Pattern Recognition (member of IAPR). Editor in chief of Intern. Journal of Image Processing and Vision Science. Editorial board member of: Intern. Journal of Reasoning-based Intelligent Systems; Intern. Journal Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science Journal; Intern. Journal of Bio-Medical Informatics and e-Health, and Intern. Journal Intelligent Decision Technologies; Member of Institute of Data Science and Artificial Intelligence and Intern. Engineering and Technology Institute. He has been a plenary speaker at more than 30 international scientific conferences and symposia and edited several books published in Springer SIST series. 

In 2009-2012, Dr. Yonghang Tai studied in Yunnan Normal University and got his bachelor’s degree. He received his Ph. D on Computer Science from Deakin University, Melbourne, Australia. He has hosted 4 Fund projects including Deakin University Postgraduate Research Full Scholarship, Yunnan Education Commission, Yunnan Natural Science Foundation, Yunnan Education Commission. He has published more than 30 papers, 5 of which has been indexed by SCI. He is the Co-Editor of International Journal of Telemedicine and Clinical Practices and Machine learning and data analytics. His research interests include VR/AR/MR in surgical simulation, Physic-based rendering, Medical image processing.


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 180 publications and 5 patents. R. Kountcheva was the plenary speaker at 21 international scientific conferences and scientific events. She edited several books published in Springer SIST series and is a member of international organizations: Bulgarian Association for Pattern Recognition, International Research Institute for Economics and Management (IRIEM), the Institute of Data Science and Artificial Intelligence (IDSAI),  and is a Honorary Member  of the Honorable Editorial Board of the nonprofit peer reviewed open access IJBST Journal Group.
 



Caracteristici

Presents high-quality research in the field of 3D imaging technology Features the outcomes of 3DDIT 2022, held in Kunming, China during November 2022 Serves as a reference resource for researchers and practitioners in academia and industry

Cuprins

A Review of Temporal Network Analysis and Applications.- A Knowledge Representation Method for Hierarchical Diagnosis Decision-making Under Uncertain Conditions.- Research and Implementation of Hybrid Storage Method for Multi-Source Heterogeneous Data of Electric Distribution Network.- Research on Measuring Method of Ball Indentation Based on MATLAB Image Edge Detection.- Multi-Feature Extraction of Mineral Zoning of Tabling Through Deep Semantic Segmentation.- Research on Mass Image Data Storage Method for Data Center.- Research on Virtual and Real Spatial Data Interconnection Mapping Technology for Digital Twin.- Prediction of Breast Cancer Via Deep Learning.- Scheme Design of Network Neighbor Discovery Algorithm Based on the Combination of Directional Antenna and Multi-Channel Parallelism.- Ship Target Detection  in Remote Sensing Image Based on Improved RetinaNet.- Research on the Application of 3D Modeling Technology in Mechanical Structure Teaching.- 2D Numerical Model Usedto Investigate the Influence of Vegetation on Geomorphological Evolution of Mudflats.- Design and Experimental Verification of High Functional Density Cubesat System.- Space Design of Exhibition Hall Based on Virtual Reality.- Identification of Expressway Traffic States Based on the Enhanced FCM Algorithm.- Algorithms Applied in Soft Tissue Deformation Simulation: a Survey.- Soft Tissue Cutting Based on Position Dynamics.- Research on Application Technology of Multi-Source Fusion of 3D Digital Resources in Power Grid.