Handbook Of Research On Estimation And Control Techniques In E Learning Systems
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Handbook of Research on Estimation and Control Techniques in E-Learning Systems
Improvements in the application of online learning technologies are continually on the rise as the expectation for individuals to obtain a higher education grows and more people are seeking alternative modes of education. As more institutions implement e-learning systems, it has become increasingly important to explore the advancements and obstacles of these technologies. The Handbook of Research on Estimation and Control Techniques in E-Learning Systems presents the latest research in online learning and educational technologies for a diverse range of students and educational environments. Featuring comprehensive coverage on the implementation and usage of e-education systems, this publication explores a variety of pertinent topics including, but not limited to, ubiquitous computer technology, e-learning environments, and challenges in implementing these technologies, serving as a crucial reference source for researchers, professionals, academicians, students, government officials, and technology developers interested in the adoption and implementation of e-learning systems.
Handbook of Research on Advances in Data Analytics and Complex Communication Networks
"This edited book discusses data analytics and complex communication networks and recommends new methodologies, system architectures, and other solutions to prevail over the current limitations faced by the field"--
Research Anthology on Machine Learning Techniques, Methods, and Applications
Author: Management Association, Information Resources
language: en
Publisher: IGI Global
Release Date: 2022-05-13
Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.