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AI in Multidimensional Signals Analysis and Processing: Proceedings of the 3dit-Msp&dl 2024

by Lakhmi C. Jain , Roumiana Kountcheva , Yingkai Liu
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Current price ₹20,015.00
Original price ₹30,792.00
Original price ₹30,792.00
Original price ₹30,792.00
(-35%)
₹20,015.00
Current price ₹20,015.00

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Book cover type: Hardcover
  • ISBN13: 9789819654079
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 326
  • Original Price: EUR 272.49
  • Language: English
  • Edition: N/A
  • Item Weight: 647 grams
  • BISAC Subject(s): Artificial Intelligence / General

Chapter 1 ::CM-CMS: Conflict Mitigation Cross-Modal Search.- Chapter 2: Calibration Method for Structured Light Projectors Based on Hilbert.- Chapter 3 :Fingerprint Representation Learning with GNN and Subgraph Extraction.- Chapter 4 : The Evolution of Three Dimensional Wave Based on Finite Difference.-Chapter 4: Analysis and Application of the specific Gerber-Shiu Function Based on Bounded Risk Model.- chapter 5:Neural Network-Enhanced Contourlet Transform for Image Statistical Exploring Optimized Support Vector Machine for EEG Signal-Based Emotion Recognition: A Comparative Analysis and Performance Evaluation.- chpater 6 : Application of Computer Image Processing Technology in Brain Tumor Segmentation.- Chapter 7 : Comparative Analysis of Neural Networks and Traditional Machine Learning Algorithms in Predicting Breast Cancer.- Chapter 8 : A Study of Fujian-Taiwan Tile Based on Factor Analysis Method and Triangular Fuzzy Number.- Chapter 9: Research on the Stylistic Imagery of Min-Tai Puppet Heads Based on Factor Analysis and Triangular Fuzzy Numbers. chapter 10:A Study of the Appearance and Imagery of Fujian-Taiwan Wind Lion Masters.Chapter 10: Research on Icon Image of Music Games Based on Factor Analysis and Triangular Fuzzy Numbers.Chapter 11: MoiConNet: A Tobacco Moisture Content Prediction Model Based on Joint Temporal Neural Network.- Chapter 12: Comparative Study of Container Technology and Traditional Virtualization Technology.- Chapter 13:Research on the Audio Data Transmission Security of Artificial Intelligence Voice Interaction Engine Devices in Smart Home.- Chapter 14:Application of Intelligent Image Processing Technology in Automatic Detection of Acid Value of Oil.chapter 15:Research on the Design Image of Domestic Medical Self Service Machines.

Professor Lakhmi C. Jain, PhD, Dr H.C., ME, BE (Hons), Fellow (Engineers Australia), is with the Liverpool Hope University and the University of Arad. He was formerly with the University of Technology Sydney, the University of Canberra and Bournemouth University. Professor Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies world-wide, KES facilitates international cooperation and generate synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.

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 200 publications and 5 international patents (EU and USA). R. Kountcheva was the plenary speaker at 25 international scientific conferences and scientific events. She edited several books published in Springer SIST series and is a co-editor of Special issues for Symmetry MDPI. She 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.

Yingkai Liu is the dean of the Institute of Physics and Electronic Information, Yunnan Normal University. He obtained his MS degree in condensed matter physics from Yunnan University in 1998 and PhD in condensed matter physics in 2002 from Nanjing University. He then did his postdoctoral research in the Center of Super-Diamond and Advanced Films (COSDAF) at City University of Hong Kong before joining Yunnan Normal University. He visited City University of Hong Kong from Sep. to Jun, 2019 and Rice University from February to December, 2018. His research interests include nanomaterial synthesis & characterization, and Nano device fabrication for photodetectors, gas sensors, environment and biomedical applications. Up to now, he has published 78 articles in the world famous journals such as Advanced Materials, Advanced Optical Materials, Sensors and Actuators B, Applied Physics Letters, and Nanomaterials, etc. His papers were cited 1800 times by other people.

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