Proceedings of International Conference on Emerging Technologies and Intelligent Systems

Proceedings of International Conference on Emerging Technologies and Intelligent Systems PDF

Author: Mostafa Al-Emran

Publisher: Springer Nature

Published: 2021-12-02

Total Pages: 1024

ISBN-13: 3030859908

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This book sheds light on the emerging research trends in intelligent systems and their applications. It mainly focuses on four different themes, including Artificial Intelligence and Soft Computing, Information Security and Networking, Medical Informatics, and Advances in Information Systems. Each chapter contributes to the aforementioned themes by discussing the recent design, developments, and modifications of intelligent systems and their applications.

Parsing the Turing Test

Parsing the Turing Test PDF

Author: Robert Epstein

Publisher: Springer Science & Business Media

Published: 2008-12-01

Total Pages: 520

ISBN-13: 1402096240

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An exhaustive work that represents a landmark exploration of both the philosophical and methodological issues surrounding the search for true artificial intelligence. Distinguished psychologists, computer scientists, philosophers, and programmers from around the world debate weighty issues such as whether a self-conscious computer would create an internet ‘world mind’. This hugely important volume explores nothing less than the future of the human race itself.

Using the Myers-Briggs Type Indicator

Using the Myers-Briggs Type Indicator PDF

Author: 50MINUTES,

Publisher: 50Minutes.com

Published: 2017-04-10

Total Pages: 34

ISBN-13: 2806289149

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Ready to take your career to the next level? Find out everything you need to know about the Myers-Briggs Type Indicator with this practical guide. The Myers-Briggs Type Indicator is an internationally renowned way of analysing a person’s personality type and thus learning more about how they react and think. With this comprehensive guide, you will be able to use your own profile in order to select a career that is best suited to you and understand how knowing other people’s personality types can benefit you! In 50 minutes you will be able to: • Learn more about the Myers-Briggs Type Indicator, its history and what exactly it does • Use your test results to your advantage both personally and professionally • Get an idea of the career that best suits you based on your personality type ABOUT 50MINUTES.COM| COACHING The Coaching series from the 50Minutes collection is aimed at all those who, at any stage in their careers, are looking to acquire personal or professional skills, adapt to new situations or simply re-evaluate their work-life balance. The concise and effective style of our guides enables you to gain an in-depth understanding of a broad range of concepts, combining theory, constructive examples and practical exercises to enhance your learning.

Long Short-Term Memory Networks With Python

Long Short-Term Memory Networks With Python PDF

Author: Jason Brownlee

Publisher: Machine Learning Mastery

Published: 2017-07-20

Total Pages: 245

ISBN-13:

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The Long Short-Term Memory network, or LSTM for short, is a type of recurrent neural network that achieves state-of-the-art results on challenging prediction problems. In this laser-focused Ebook, finally cut through the math, research papers and patchwork descriptions about LSTMs. Using clear explanations, standard Python libraries and step-by-step tutorial lessons you will discover what LSTMs are, and how to develop a suite of LSTM models to get the most out of the method on your sequence prediction problems.

Deep Learning for Time Series Forecasting

Deep Learning for Time Series Forecasting PDF

Author: Jason Brownlee

Publisher: Machine Learning Mastery

Published: 2018-08-30

Total Pages: 572

ISBN-13:

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Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality. With clear explanations, standard Python libraries, and step-by-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.

Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing PDF

Author: Jason Brownlee

Publisher: Machine Learning Mastery

Published: 2017-11-21

Total Pages: 413

ISBN-13:

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Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from one language to another. In this new laser-focused Ebook, finally cut through the math, research papers and patchwork descriptions about natural language processing. Using clear explanations, standard Python libraries and step-by-step tutorial lessons you will discover what natural language processing is, the promise of deep learning in the field, how to clean and prepare text data for modeling, and how to develop deep learning models for your own natural language processing projects.

Recent Advances in Intelligent Systems and Smart Applications

Recent Advances in Intelligent Systems and Smart Applications PDF

Author: Mostafa Al-Emran

Publisher: Springer Nature

Published: 2020-06-26

Total Pages: 658

ISBN-13: 3030474119

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This book explores the latest research trends in intelligent systems and smart applications. It presents high-quality empirical and review studies focusing on various topics, including information systems and software engineering, knowledge management, technology in education, emerging technologies, and social networks. It provides insights into the theoretical and practical aspects of intelligent systems and smart applications.

Social Monitoring for Public Health

Social Monitoring for Public Health PDF

Author: Michael J. Paul

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 163

ISBN-13: 3031023110

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Public health thrives on high-quality evidence, yet acquiring meaningful data on a population remains a central challenge of public health research and practice. Social monitoring, the analysis of social media and other user-generated web data, has brought advances in the way we leverage population data to understand health. Social media offers advantages over traditional data sources, including real-time data availability, ease of access, and reduced cost. Social media allows us to ask, and answer, questions we never thought possible. This book presents an overview of the progress on uses of social monitoring to study public health over the past decade. We explain available data sources, common methods, and survey research on social monitoring in a wide range of public health areas. Our examples come from topics such as disease surveillance, behavioral medicine, and mental health, among others. We explore the limitations and concerns of these methods. Our survey of this exciting new field of data-driven research lays out future research directions.