Rhythmic Advantages In Big Data And Machine Learning
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Rhythmic Advantages In Big Data And Machine Learning
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Author : Anirban Bandyopadhyay
language : en
Publisher: Springer Nature
Release Date : 2022-01-10
Rhythmic Advantages In Big Data And Machine Learning written by Anirban Bandyopadhyay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-10 with Technology & Engineering categories.
The book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time crystal found in the chemical biology to the vibrations and the resonance of proteins. They have covered a wide spectrum of hierarchical communication among different biological systems. Most importantly, authors have taken an utmost care that even school-level students fall in love with biophysics; it is simple and more of a textbook and definitely bring the readers to a world of biology and physics like never before. Most authors are experienced academicians, and they have used lucid and simple language to make the content interesting for the readers.
Proceedings Of The Future Technologies Conference Ftc 2022 Volume 3
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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2022-10-13
Proceedings Of The Future Technologies Conference Ftc 2022 Volume 3 written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-13 with Technology & Engineering categories.
The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.
Proceedings Of The Future Technologies Conference Ftc 2024 Volume 3
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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2024-11-07
Proceedings Of The Future Technologies Conference Ftc 2024 Volume 3 written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-07 with Computers categories.
This book covers proceedings of the Future Technologies Conference (FTC) 2024 which showcase a collection of thoroughly researched studies presented at the ninth Future Technologies Conference, held in London, the UK. This premier annual event highlights groundbreaking research in artificial intelligence, computer vision, data science, computing, ambient intelligence, and related fields. With 476 submissions, FTC 2024 gathers visionary minds to explore innovative solutions to today's most pressing challenges. The 173 selected papers represent cutting-edge advancements that foster vital conversations and future collaborations in the realm of information technologies. The authors extend their deepest gratitude to all contributors, reviewers, and participants for making FTC 2024 an unparalleled success. The authors hope this volume inspires and informs its readers, encouraging continued exploration and innovation in future technologies.
Rhythmische Vorteile In Big Data Und Machine Learning
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Author : Anirban Bandyopadhyay
language : de
Publisher: Springer-Verlag
Release Date : 2025-01-29
Rhythmische Vorteile In Big Data Und Machine Learning written by Anirban Bandyopadhyay and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-29 with Computers categories.
Das Buch behandelt verschiedene Aspekte der Biophysik, beginnend mit einem populären Artikel über Neurobiologie und erstreckt sich bis zur Quantenbiologie, um letztendlich das Bewusstsein sowohl von Menschen als auch des Universums zu erforschen. Die Autoren haben neun verschiedene Facetten der natürlichen Intelligenz behandelt, angefangen bei der Entdeckung von Zeitkristallen in der chemischen Biologie bis hin zu den Schwingungen und Resonanzen von Proteinen. Sie haben ein breites Spektrum hierarchischer Kommunikation unter verschiedenen biologischen Systemen abgedeckt. Besonderes Augenmerk wurde darauf gelegt, sicherzustellen, dass der Inhalt selbst für Schülerinnen und Schüler zugänglich ist, wodurch die Biophysik wie ein Lehrbuch erscheint, das die Leser in die Bereiche der Biologie und Physik wie nie zuvor entführt. Die Autoren, die größtenteils erfahrene Akademiker sind, haben klare und einfache Sprache verwendet, um sicherzustellen, dass der Inhalt für alle Leser ansprechend und verständlich ist.
Recent Advances In Big Data And Deep Learning
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Author : Luca Oneto
language : en
Publisher: Springer
Release Date : 2019-04-02
Recent Advances In Big Data And Deep Learning written by Luca Oneto and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-02 with Computers categories.
This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In addition to regular sessions, INNS BDDL welcomed around 40 oral communications, 6 tutorials have been presented together with 4 invited plenary speakers. This book covers a broad range of topics in big data and deep learning, from theoretical aspects to state-of-the-art applications. This book is directed to both Ph.D. students and Researchers in the field in order to provide a general picture of the state-of-the-art on the topics addressed by the conference.
Advanced Artificial Intelligence And Robo Justice
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Author : Georgios I. Zekos
language : en
Publisher: Springer Nature
Release Date : 2022-05-16
Advanced Artificial Intelligence And Robo Justice written by Georgios I. Zekos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-16 with Law categories.
The book deals with digital technology which is transforming the landscape of dispute resolution. It illustrates the application of AI in the legal field and shows the future prospect of robo-justice for an AAI society in the advanced artificial intelligence era. In other words, the present justice system and the influence of current AI upon courts and arbitration are investigated. The transforming role of AI on all legal fields is examined thoroughly by giving answers concerning AI legal personality and liability. The analysis shows that digital technology is generating an ever-growing number of disputes and at the same time is challenging the effectiveness and reach of traditional dispute resolution avenues. To that extent, the book presents in tandem the impact of AI upon courts and arbitration, and reveals the role of AAI in generating a new robo-justice system. Finally, the end of the perplexing relation of courts and arbitration is evidenced methodically and comprehensively.
Adolescent Screening The Adolescent Medical History In The Age Of Big Data
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Author : Vincent Morelli
language : en
Publisher: Elsevier Health Sciences
Release Date : 2019-05-09
Adolescent Screening The Adolescent Medical History In The Age Of Big Data written by Vincent Morelli and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-09 with Medical categories.
In this comprehensive look at adolescent screening and holistic health in the technology age, Dr. Vincent Morelli reviews the history of the adolescent health screen, what is being used now, and what needs to be considered in the future. An ideal resource for primary care physicians, pediatricians, and others in health care who work with adolescents, it consolidates today's available information on this timely topic into a single convenient resource. - Covers the history of the adolescent medical history and the need for an update of the biopsychosocial model, which has not significantly changed since 1977. - Discusses nutrition screening, sleep screening, exercise screening, adverse childhood experiences (ACEs) screening, educational screening, behavioral and emotional screening, and more. - Presents the knowledge and experience of leading experts who have assembled the most up-to-date recommendations for adolescent health screening. - Explores today's knowledge of health screening and discusses future directions to ensure healthy habits in adolescents, including education and self-efficacy.
Application Of Big Data For National Security
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Author : Babak Akhgar
language : en
Publisher: Butterworth-Heinemann
Release Date : 2015-02-14
Application Of Big Data For National Security written by Babak Akhgar and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-14 with Computers categories.
Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security - Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention - Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime - Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context - Indicates future directions for Big Data as an enabler of advanced crime prevention and detection
Big Data A New Medium
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Author : Natasha Lushetich
language : en
Publisher: Routledge
Release Date : 2020-11-26
Big Data A New Medium written by Natasha Lushetich and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-26 with Computers categories.
Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the big data phenomenon. Big data architectures are increasingly transforming political questions into technical management by determining classificatory systems in the social, educational, and healthcare realms. Data, and their multiple arborisations, have become new epistemic landscapes. They have also become new existential terrains. The fundamental question is: can big data be seen as a new medium in the way photography or film were when they first appeared? No new medium is ever truly new. It’s always remediation of older media. What is new is the medium’s re-articulation of the difference between here and there, before and after, yours and mine, knowable and unknowable, possible and impossible. This transdisciplinary volume, incorporating cultural and media theory, art, philosophy, history, and political philosophy is a key resource for readers interested in digital humanities, cultural, and media studies.
Cryptocurrency Market Forecasting With Catboost Models
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Author : Heng Chen
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-05-19
Cryptocurrency Market Forecasting With Catboost Models written by Heng Chen and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Business & Economics categories.
Cryptocurrency Market Forecasting With Catboost Models explores the intersection of Financial Technology (FinTech) and Big Data Analytics, specifically their impact on cryptocurrency market predictions. It also discusses advanced machine learning techniques, such as the Catboost model, and the evolving landscape of technologies like quantum computing and blockchain. The book outlines the role of digital transformation in finance by introducing FinTech and its evolution. It then covers cryptocurrency market forecasting, addressing its unique challenges and opportunities. Detailed chapters follow the Catboost model, covering its features, practical applications, and advantages. Essential topics include data cleaning, feature engineering, and data preprocessing for robust predictive models. The book also explores big data analytics, distributed computing frameworks, and ethical considerations in AI for market predictions. Real-world case studies illustrate key concepts, concluding with a forward-looking analysis of emerging technologies. Key Features: - Comprehensive coverage of FinTech and its impact on market predictions. - Detailed explanation and practical applications of the Catboost model. - Insights into data preprocessing, feature engineering, and model evaluation. - Exploration of big data analytics and distributed computing in finance. - Discussion of ethical considerations and regulatory challenges in AI for market predictions. - Real-world case studies and examples.