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Chapter 4 Data System and Data Management in a Federation of HPC/ Cloud Centers
Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing
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- ISBN/ISSN
- 9781032009841
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Application of Machine Learning
*Implementasi Kontemporer Machine Learning: Dari Teori ke Aplikasi Praktis. Buku ini disusun untuk menyajikan berbagai aplikasi terbaru di bidang Machine Learning (ML) yang mencakup spektrum luas, mulai dari: • Pengenalan Suara (Speech Recognition): Transformasi sinyal audio menjadi data tekstual yang cerdas. • Klasifikasi Trafik dan Kegagalan: Optimasi sistem melalui deteksi anomali. • P…
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- ISBN/ISSN
- 9789535158813
- Collation
- online resource ( 290.)
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- Call Number
- 006.31 ZHA a
Bioinformatics Applications Based On Machine Learning
The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of exis…
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- ISBN/ISSN
- 9783036507606
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Biofeedback
The six chapters in this volume form a timely introduction to biofeedback research. The six authors describe how objective electrophysiological data provides useful data for assessment and therapy for physical therapists, psychologists and other healthcare professionals and their clients. The first chapter, "Biofeedback and neurofeedback in the treatment of migraine", is written by Ph.D. studen…
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- ISBN/ISSN
- 9781789842586
- Collation
- 122
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- Call Number
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Artificial Intelligence in Oral Health
This Special Issue is intended to lay the foundation of AI applications focusing on oral health, including general dentistry, periodontology, implantology, oral surgery, oral radiology, orthodontics, and prosthodontics, among others.
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- ISBN/ISSN
- 9783036551449
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Advances in Machine Learning and Mathematical Modeling for Optimization Problems
The Internet of Things (IoT) encompasses a wide range of applications and service domains, from smart cities, autonomous vehicles, surveillance, medical devices, to crop control. Virtualization in wireless sensor networks (WSNs) is widely regarded as the most revolutionary technological technique used in these areas
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- ISBN/ISSN
- 9783036577401
- Collation
- 280
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies. In robotics, the ability to reason, solve their own anomalies and proactively enrich owned knowledge is a direct way to improve autonomous beha…
- Edition
- 1
- ISBN/ISSN
- 9789811562631
- Collation
- XVII, 137 hlm; ill., lamp.,
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Machine Learning and Its Application to Reacting Flows : ML and Combustion
These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies a…
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- ISBN/ISSN
- 978-3-031-16248-0
- Collation
- XI, 346
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- Lecture Notes in Energy (LNEN, volume 44)
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- -
Multivariate Statistical Machine Learning Methods for Genomic Prediction
Thanks to advances in digital technologies like electronic devices and networks, it is possible to automatize and digitalize many jobs, processes, and services, which are generating huge quantities of data. These “big data” are transmitted, collected, aggregated, and analyzed to deliver deep insights into processes and human behavior. For this reason, data are called the new oil, since …
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- ISBN/ISSN
- 9783030890100
- Collation
- XXIV, 691
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Manifold Learning : Model Reduction in Engineering
This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers, lecturers and instructors. The aim of the authors is to provide tools for a better understanding and implement reduced order models by using: physics-based models, synthetic data forecast by …
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- ISBN/ISSN
- 978-3-031-52764-7
- Collation
- X, 107
- Series Title
- Manifold Learning : Model Reduction in Engineering
- Call Number
- 001 RYC m
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