Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications, Tsihrintzis George A., Jain Lakhmi C.

Автор: Tsihrintzis George A., Jain Lakhmi C.
Название: Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications
ISBN: 3030497232 ISBN-13(EAN): 9783030497231
Издательство: Springer
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Цена: 139750.00 T
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Описание: Chapter 1: Introduction to Deep Learning-based Technological Applications.- Chapter 2: Vision to Language: Methods, Metrics and Datasets.- Chapter 3: Deep Learning Techniques for Geospatial Data Analysis.- Chapter 4: Deep Learning Approaches in Food Recognition.- Chapter 5: Deep Learning for Twitter Sentiment Analysis: the Effect of pre-trained Word Embedding.- Chapter 6: A Good Defense is a Strong DNN: Defending the IoT with Deep Neural Networks.- Chapter 7: Survey on Deep Learning Techniques for Medical Imaging Application Area.- Chapter 8: Deep Learning Methods in Electroencephalography.

Автор: Tsihrintzis George A., Virvou Maria, Sakkopoulos Evangelos
Название: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
ISBN: 3030156273 ISBN-13(EAN): 9783030156275
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.

Автор: Tsihrintzis George A., Virvou Maria, Sakkopoulos Evangelos
Название: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
ISBN: 3030156303 ISBN-13(EAN): 9783030156305
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation.

Автор: Hassanien Aboul Ella, Darwish Ashraf
Название: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
ISBN: 3030593371 ISBN-13(EAN): 9783030593377
Издательство: Springer
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data.

Автор: Hassanien Aboul Ella, Darwish Ashraf
Название: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
ISBN: 3030593401 ISBN-13(EAN): 9783030593407
Издательство: Springer
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Цена: 186330.00 T
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Описание: The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data.

Автор: Balas Valentina E., Solanki Vijender Kumar, Kumar Raghvendra
Название: Recent Advances in Internet of Things and Machine Learning: Real-World Applications
ISBN: 3030901181 ISBN-13(EAN): 9783030901189
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.

Автор: Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, Julio Cesar Rodriguez-Quinonez
Название: Optoelectronics in Machine Vision-Based Theories and Applications
ISBN: 1522557512 ISBN-13(EAN): 9781522557517
Издательство: Mare Nostrum (Eurospan)
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Цена: 188100.00 T
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Описание: Sensor technologies play a large part in modern life, as they are present in things like security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services.Optoelectronics in Machine Vision-Based Theories and Applications provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. It also covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring. This publication is a vital reference source for engineers, technology developers, academicians, researchers, and advanced-level students seeking emerging research on sensor technologies and machine vision.

Автор: Asim Abdel Rahman El Sheikh, Mouhib Alnoukari
Название: Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications
ISBN: 1613500505 ISBN-13(EAN): 9781613500507
Издательство: Mare Nostrum (Eurospan)
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Цена: 180180.00 T
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Описание: Highlights the marriage between business intelligence and knowledge management through the use of agile methodologies. Through its fifteen chapters, this offers perspectives on the integration between process modeling, agile methodologies, business intelligence, knowledge management, and strategic management.

Автор: Albrecht Jens, Ramachandran Sidharth, Winkler Christian
Название: Blueprints for Text Analytics Using Python: Machine Learning Based Solutions for Common Real World (Nlp) Applications
ISBN: 149207408X ISBN-13(EAN): 9781492074083
Издательство: Wiley
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Цена: 67570.00 T
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Описание: This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly.

Автор: Zaman Noor, Gaur Loveleen, Humayun Mamoona
Название: Approaches and Applications of Deep Learning in Virtual Medical Care
ISBN: 1799889297 ISBN-13(EAN): 9781799889298
Издательство: Mare Nostrum (Eurospan)
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Цена: 473210.00 T
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Описание: An ideal and relevant source of content for data science and healthcare professionals who want to delve into complex deep learning algorithms, calibrate models, and improve the predictions of the trained model on medical imaging.

Автор: Rivas-Lopez Moises, Sergiyenko Oleg, Flores-Fuentes Wendy
Название: Optoelectronics in Machine Vision-Based Theories and Applications
ISBN: 152258806X ISBN-13(EAN): 9781522588061
Издательство: Mare Nostrum (Eurospan)
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Цена: 142120.00 T
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Описание: Provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. The book also covers topics such as applications of unmanned aerial vehicles, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring.

Автор: Tsihrintzis George A., Virvou Maria, Jain Lakhmi C.
Название: Advances in Machine Learning/Deep Learning-Based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis - Vol. 2
ISBN: 3030767930 ISBN-13(EAN): 9783030767938
Издательство: Springer
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Цена: 158380.00 T
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Описание: As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.