Proceedings Of The First International Conference On Advances In Computer Vision And Artificial Intelligence Technologies Acvait 2022
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| Author | : Ramesh Manza |
| Publisher | : Springer Nature |
| Total Pages | : 748 |
| Release | : 2023-07-25 |
| Genre | : Computers |
| ISBN | : 9464631961 |
This is an open access book. The first international Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022) is a biennial conference organized by Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS) India, during August 1–2, 2022. ACVAIT 2022, is dedicated towards advances in the theme areas of Computer Vision, Image Processing, Pattern Recognition, Artificial Intelligence, Machine Learning, Human Computer Interactions, Biomedical Image Processing, Geospatial Technology, Hyperspectral image processing and allied technologies but not limited to. ACVAIT 2022, invites young and/or advanced researchers contributing in the theme area of the conference and also provide them platform for discussing their scientific contributions / research findings with the domain experts, exchange ideas with them and foster closer collaboration between members from the top universities / Higher Education Institutes (HEI). ACVAIT 2022, inviting domain specific work from research scholars, academician, machine learning & AI scientist, industry experts to contribute their scientific contribution in the following areas but not limited to. • Shape representation• Biometrics: face matching, iris recognition, footprint verification and many more.• Statistical, Structural and syntactic pattern recognition• Brain Computer Interface and Human Computer Interactions• Feature extraction and reduction• Biomedical Image Processing• Color and texture analysis• Speech analysis and understanding• Image segmentation• Speaker verification & Synthesis• Image compression, coding and encryption• Clustering and classification• Object recognition, scene understanding and video analytics• Machine learning algorithms • Image matching (pattern matching)• Extreme learning machine• Content based image retrieval and indexing• Artificial Intelligence Trends in Deep learning• Optical character recognition• Big data• Image & Video Forensics• Information retrieval• Pattern recognition and machine learning for Internet of Things• Data mining and Data Analytics• Pattern classification through Sensors• Pattern Recognition for Hyper Spectral Imaging• Satellite Image Processing
| Author | : Isaac Woungang |
| Publisher | : Springer Nature |
| Total Pages | : 556 |
| Release | : |
| Genre | : |
| ISBN | : 9819736013 |
| Author | : Ajith Abraham |
| Publisher | : Springer Nature |
| Total Pages | : 510 |
| Release | : |
| Genre | : |
| ISBN | : 3031647769 |
| Author | : Moi Hoon Yap |
| Publisher | : Springer Nature |
| Total Pages | : 436 |
| Release | : 2024 |
| Genre | : Diagnostic imaging |
| ISBN | : 303166955X |
Zusammenfassung: This two-volume set LNCS 14859-14860 constitutes the proceedings of the 28th Annual Conference on Medical Image Understanding and Analysis, MIUA 2024, held in Manchester, UK, during July 24-26, 2024. The 59 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: Part I : Advancement in Brain Imaging; Medical Images and Computational Models; and Digital Pathology, Histology and Microscopic Imaging. Part II : Dental and Bone Imaging; Enhancing Low-Quality Medical Images; Domain Adaptation and Generalisation; and Dermatology, Cardiac Imaging and Other Medical Imaging
| Author | : Asha Ramesh |
| Publisher | : |
| Total Pages | : 118 |
| Release | : 2001 |
| Genre | : Panchayat |
| ISBN | : |
The Book Argues Forcefully The Need For Women`S Political Participations. It States While Affirmative Action Has Brought Women Into Decision Making Positions, Supportive Mechanisms Have Not Been Introduced And The Social Climate Is Not Yet Conducive To Facilitate The Process.
| Author | : Kazumi Nakamatsu |
| Publisher | : Springer Nature |
| Total Pages | : 255 |
| Release | : 2023-01-19 |
| Genre | : Technology & Engineering |
| ISBN | : 9811977429 |
This book gathers a collection of selected works and new research results of scholars and graduate students presented at the 6th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2022) via the Internet, during July 22-24 2022, hosted and organized by Sojo University in conjunction with other three universities and Beijing Huaxia Rongzhi Blockchain Technology Institute. The focus of the book is interdisciplinary in nature and includes research on all aspects of artificial intelligence and virtual reality, from fundamental development to the applied system. The book covers topics such as system techniques, performance, and implementation; content creation and modelling; cognitive aspects, perception, user behaviour; AI technologies; interactions, interactive and responsive environments; AI/VR applications and case studies.
| Author | : Roumen Kountchev |
| Publisher | : Springer Nature |
| Total Pages | : 706 |
| Release | : 2023-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9811971846 |
This book features a collection of high-quality, peer-reviewed research papers presented at first ‘World Conference on Intelligent and 3-D Technologies’ (WCI3DT 2022), held in China during May 24–26, 2022. The book provides an opportunity for the researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications, and other related areas. The book presents ideas and the works of scientists, engineers, educators, and students from all over the world from institutions and industries.
| Author | : Massimo Tistarelli |
| Publisher | : Springer Nature |
| Total Pages | : 777 |
| Release | : 2023-05-05 |
| Genre | : Technology & Engineering |
| ISBN | : 9811978670 |
This book presents selected research papers on current developments in the fields of computer vision and machine intelligence from International Conference on Computer Vision and Machine Intelligence (CVMI 2022). The book covers topics in image processing, artificial intelligence, machine learning, deep learning, computer vision, machine intelligence, etc. The book is useful for researchers, postgraduate and undergraduate students, and professionals working in this domain.
| Author | : Aboul-Ella Hassanien |
| Publisher | : Springer Nature |
| Total Pages | : 880 |
| Release | : 2020-03-23 |
| Genre | : Technology & Engineering |
| ISBN | : 3030442896 |
This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.
| Author | : Lei Wang |
| Publisher | : Springer Nature |
| Total Pages | : 786 |
| Release | : 2023-02-25 |
| Genre | : Computers |
| ISBN | : 3031263510 |
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.
