2021 IEEE 1st International Conference on Advanced Learning Technologies on Education & Research (ICALTER). PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download 2021 IEEE 1st International Conference on Advanced Learning Technologies on Education & Research (ICALTER). PDF full book. Access full book title 2021 IEEE 1st International Conference on Advanced Learning Technologies on Education & Research (ICALTER). by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN: 9781665407052
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN: 9781665407052
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: IEEE Staff
Publisher:
ISBN: 9781665407069
Category :
Languages : en
Pages :
Get Book Here
Book Description
ICALTER aims to be a forum where researchers, developers and education professionals can exchange experiences on several aspects of technological development applied to the context of learning to support education and research
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN: 9781665456968
Category : Educational technology
Languages : en
Pages : 0
Get Book Here
Book Description
Author: IEEE Staff
Publisher:
ISBN: 9781665431163
Category :
Languages : en
Pages :
Get Book Here
Book Description
educational technology, learning technology, advanced learning technology
Author: Indranath Chatterjee
Publisher: John Wiley & Sons
ISBN: 1394173342
Category : Computers
Languages : en
Pages : 244
Get Book Here
Book Description
Machine Learning Applications Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations Machine Learning Applications discusses methodological advancements of machine learning and deep learning, presents applications in image processing, including face and vehicle detection, image classification, object detection, image segmentation, and delivers real-world applications in healthcare to identify diseases and diagnosis, such as creating smart health records and medical imaging diagnosis, and provides real-world examples, case studies, use cases, and techniques to enable the reader’s active learning. Composed of 13 chapters, this book also introduces real-world applications of machine and deep learning in blockchain technology, cyber security, and climate change. An explanation of AI and robotic applications in mechanical design is also discussed, including robot-assisted surgeries, security, and space exploration. The book describes the importance of each subject area and detail why they are so important to us from a societal and human perspective. Edited by two highly qualified academics and contributed to by established thought leaders in their respective fields, Machine Learning Applications includes information on: Content based medical image retrieval (CBMIR), covering face and vehicle detection, multi-resolution and multisource analysis, manifold and image processing, and morphological processing Smart medicine, including machine learning and artificial intelligence in medicine, risk identification, tailored interventions, and association rules AI and robotics application for transportation and infrastructure (e.g., autonomous cars and smart cities), along with global warming and climate change Identifying diseases and diagnosis, drug discovery and manufacturing, medical imaging diagnosis, personalized medicine, and smart health records With its practical approach to the subject, Machine Learning Applications is an ideal resource for professionals working with smart technologies such as machine and deep learning, AI, IoT, and other wireless communications; it is also highly suitable for professionals working in robotics, computer vision, cyber security and more.
Author: Praveen Kumar Shukla
Publisher: Springer Nature
ISBN: 9819945771
Category : Technology & Engineering
Languages : en
Pages : 567
Get Book Here
Book Description
This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2023), organized by BBD University Lucknow, India, during 24–25 February 2023. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.
Author: Maiga Chang
Publisher:
ISBN:
Category :
Languages : en
Pages : 454
Get Book Here
Book Description
Author: Shiqi Yu
Publisher: Springer Nature
ISBN: 3031189108
Category : Computers
Languages : en
Pages : 737
Get Book Here
Book Description
The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
Author: Giuseppe Nicosia
Publisher: Springer Nature
ISBN: 3031255992
Category : Computers
Languages : en
Pages : 639
Get Book Here
Book Description
This two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022. The total of 84 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 226 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
