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Artificial Intelligence and Data Science in Environmental Sensing, Asadnia Mohsen, Razmjou Amir, Beheshti Amin


Варианты приобретения
Цена: 112230.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 1 шт.  Склад Америка: 235 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября

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Автор: Asadnia Mohsen, Razmjou Amir, Beheshti Amin
Название:  Artificial Intelligence and Data Science in Environmental Sensing
ISBN: 9780323905084
Издательство: Elsevier Science
Классификация:





ISBN-10: 0323905080
Обложка/Формат: Paperback
Страницы: 324
Вес: 0.44 кг.
Дата издания: 24.02.2022
Серия: Cognitive data science in sustainable computing
Язык: English
Размер: 22.86 x 15.24 x 1.73 cm
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications.

Dynamic Fuzzy Machine Learning

Автор: Li, Fanzhang / Zhang, Li / Zhang, Zhao
Название: Dynamic Fuzzy Machine Learning
ISBN: 3110518708 ISBN-13(EAN): 9783110518702
Издательство: Walter de Gruyter
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Цена: 149590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.

Python Machine Learning: The Complete Beginner`s Guide to Master Neural Networks, Artificial Intelligence, and Data Science with Python

Автор: Hacktech Academy
Название: Python Machine Learning: The Complete Beginner`s Guide to Master Neural Networks, Artificial Intelligence, and Data Science with Python
ISBN: 1802350446 ISBN-13(EAN): 9781802350449
Издательство: Неизвестно
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Цена: 22950.00 T
Наличие на складе: Нет в наличии.
Описание: ⭐️ 55% OFF for Bookstores NOW at $ 24.95 instead of $ 38.70 ⭐️


If you want to learn how to design and master different Machine Learning algorithms quickly and easily, then keep reading.


Today, we live in the era of Artificial Intelligence. Self-driving cars, customized product recommendations, real-time pricing, speech and facial recognition are just a few examples proving this truth. Also, think about medical diagnostics or automation of mundane and repetitive labor tasks; all these highlight the fact that we live in interesting times.


Machines and automation represent a huge part of our daily life. They are becoming part of our experience and existence. This is Machine Learning. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future


Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data.


Starting from scratch, Python Machine Learning explains how this happens, how machines build their experience and compounding knowledge. Data forms the core of Machine Learning because within data lie truths whose depths exceed our imagination.


Some of the topics that we will discuss inside include:


  • Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence
  • How to use Lists and Modules in Python
  • The 12 essential libraries for Machine Learning in Python
  • Artificial Neural Networks
  • And Much More


Your Customers will never stop to use this book.


While most books only focus on widespread details without going deeper into the different models and techniques, Python Machine Learning explains how to master the concepts of Machine Learning technology and helps you to understand how researchers are breaking the boundaries of Data Science to mimic human intelligence in machines using various Machine Learning algorithms.


Would You Like To Know More?


Buy it NOW and let your customers get addicted to this amazing book

Artificial Intelligence In Healthcare

Автор: Bohr, Adam
Название: Artificial Intelligence In Healthcare
ISBN: 0128184388 ISBN-13(EAN): 9780128184387
Издательство: Elsevier Science
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Цена: 110030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.

This book will be useful for researchers, graduate students and practitioners in computer science, data science, bioinformatics, health informatics, biomedical engineering and clinical engineering.


Artificial Intelligence and Data Mining for Mergers and Acquisitions

Автор: Debasis Chanda
Название: Artificial Intelligence and Data Mining for Mergers and Acquisitions
ISBN: 1138354732 ISBN-13(EAN): 9781138354739
Издательство: Taylor&Francis
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Цена: 127600.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book proposal presents a modeling framework for Virtual Enterprise focused on process composition by consolidating individual process models into consolidated process model. This framework uses Artificial Intelligence Knowledge Bases and also proposes a Data Mining model using a fuzzy mathematical approach.

Big Data and Artificial Intelligence for Healthcare Applications

Автор: Saxena Ankur, Brault Nicolas, Rashid Shazia
Название: Big Data and Artificial Intelligence for Healthcare Applications
ISBN: 036755495X ISBN-13(EAN): 9780367554958
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research.

Artificial intelligence, machine learning, and data science technologies :

Автор: Neeraj Mohan
Название: Artificial intelligence, machine learning, and data science technologies :
ISBN: 0367720914 ISBN-13(EAN): 9780367720919
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact.

Novel Design and Applications of Robotics Technologies

Автор: Dan Zhang, Bin Wei
Название: Novel Design and Applications of Robotics Technologies
ISBN: 1522552766 ISBN-13(EAN): 9781522552765
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 199590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medical, social services, and agriculture. Providing successful techniques in robotic design allows for increased autonomous mobility, which leads to a greater productivity level.Novel Design and Applications of Robotics Technologies provides innovative insights into the state-of-the-art technologies in the design and development of robotic technologies and their real-world applications. The content within this publication represents the work of interactive learning, microrobot swarms, and service robots. It is a vital reference source for computer engineers, robotic developers, IT professionals, academicians, and researchers seeking coverage on topics centered on the application of robotics to perform tasks in various disciplines.

Biomedical Signal Processing With Artificial Intelligence

Автор: Zgallai, Walid A.
Название: Biomedical Signal Processing With Artificial Intelligence
ISBN: 0128189460 ISBN-13(EAN): 9780128189467
Издательство: Elsevier Science
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Цена: 132500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and processed, including segmentation, classification, and detection. This book covers different aspects of signals, from the use of hardware and software, and making use of artificial intelligence in problem solving.

Dr Zgallai's book has up to date coverage where readers can find the latest information, easily explained, with clear examples and illustrations. The book includes examples on the application of signal and image processing employing artificial intelligence to Alzheimer, Parkinson, ADHD, autism, and sleep disorders, as well as ECG and EEG signals. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key 'up-and-coming' academics across the full subject area. The series serves a wide audience of university faculty, researchers and students, as well as industry practitioners.


Transforming management using artificial intelligence techniques

Автор: Vikas Garg; Rashmi Agrawal
Название: Transforming management using artificial intelligence techniques
ISBN: 0367456370 ISBN-13(EAN): 9780367456375
Издательство: Taylor&Francis
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Цена: 168430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies and brings the exciting field to life by presenting a substantial and robust introduction to Artificial intelligence in a clear and concise manner.

Analyzing future applications of ai, sensors, and robotics in society

Автор: Thomas Heinrich Musiolik, Adrian David Cheok
Название: Analyzing future applications of ai, sensors, and robotics in society
ISBN: 1799835006 ISBN-13(EAN): 9781799835004
Издательство: Mare Nostrum (Eurospan)
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Цена: 152460.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. The book includes coverage on a broad range of topics, such as neuronal networks, cognitive computing, and e-health.

Artificial intelligence in mechanical and industrial engineering /

Автор: Kaushik Kumar, Divya Zindani, J. Paulo Davim
Название: Artificial intelligence in mechanical and industrial engineering /
ISBN: 0367441764 ISBN-13(EAN): 9780367441760
Издательство: Taylor&Francis
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Цена: 168430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book will cover the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.

Artificial intelligence and digital systems engineering

Автор: Badiru, Adedeji Bodunde,
Название: Artificial intelligence and digital systems engineering
ISBN: 0367545470 ISBN-13(EAN): 9780367545475
Издательство: Taylor&Francis
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Цена: 53070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering.


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