Handbook of Research on New Investigations in Artificial Life AI and Machine Learning

This book PDF is perfect for those who love Computers genre, written by Habib, Maki K. and published by IGI Global which was released on 25 February 2022 with total hardcover pages 589. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Handbook of Research on New Investigations in Artificial Life AI and Machine Learning books below.

Handbook of Research on New Investigations in Artificial Life  AI  and Machine Learning
Author : Habib, Maki K.
File Size : 51,8 Mb
Publisher : IGI Global
Language : English
Release Date : 25 February 2022
ISBN : 9781799886877
Pages : 589 pages
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Handbook of Research on New Investigations in Artificial Life AI and Machine Learning by Habib, Maki K. Book PDF Summary

As technology spreads globally, researchers and scientists continue to develop and study the strategy behind creating artificial life. This research field is ever expanding, and it is essential to stay current in the contemporary trends in artificial life, artificial intelligence, and machine learning. This an important topic for researchers and scientists in the field as well as industry leaders who may adapt this technology. The Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning provides concepts, theories, systems, technologies, and procedures that exhibit properties, phenomena, or abilities of any living system or human. This major reference work includes the most up-to-date research on techniques and technologies supporting AI and machine learning. Covering topics such as behavior classification, quality control, and smart medical devices, it serves as an essential resource for graduate students, academicians, stakeholders, practitioners, and researchers and scientists studying artificial life, cognition, AI, biological inspiration, machine learning, and more.

Handbook of Research on New Investigations in Artificial Life  AI  and Machine Learning

As technology spreads globally, researchers and scientists continue to develop and study the strategy behind creating artificial life. This research field is ever expanding, and it is essential to stay current in the contemporary trends in artificial life, artificial intelligence, and machine learning. This an important topic for researchers and

Get Book
Handbook of Research on Investigations in Artificial Life Research and Development

Research on artificial life is critical to solving various dynamic obstacles individuals face on a daily basis. From electric wheelchairs to navigation, artificial life can play a role in improving both the simple and complex aspects of civilian life. The Handbook of Research on Investigations in Artificial Life Research and

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Handbook of Research on Machine Learning Applications and Trends  Algorithms  Methods  and Techniques

"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.

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Multidisciplinary Applications of Deep Learning Based Artificial Emotional Intelligence

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Computational science, in collaboration with engineering, acts as a bridge between hypothesis and experimentation. It is essential to use computational methods and their applications in order to automate processes as many major industries rely on advanced modeling and simulation. Computational science is inherently interdisciplinary and can be used to identify

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Optimized linear algebra (LA) libraries that are able to exploit the underlying hardware are always of interest in the high-performance computing community. The implementation of LA software has evolved along with computer architecture, while the specification remains unaltered almost from the beginning. It is important to differentiate between the specification

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The sudden outbreak of the COVID-19 pandemic has curbed human lifestyle by imposing restrictions on regular daily movements that had been taken for granted. Due to the pandemic, the welfare segment has received more attention, and every possible effort is being made to prioritize the services at the top. This

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