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| Author | : Information R. . . Management Association |
| Publisher | : Research Anthology on Machine Learning Techniques, Methods, and Applications |
| Total Pages | : 0 |
| Release | : 2022-05-13 |
| Genre | : |
| ISBN | : 9781668466681 |
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1516 |
| Release | : 2022-05-13 |
| Genre | : Computers |
| ISBN | : 1668462923 |
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.
| Author | : Information R. . . Management Association |
| Publisher | : Research Anthology on Machine Learning Techniques, Methods, and Applications |
| Total Pages | : 0 |
| Release | : 2022-05-13 |
| Genre | : |
| ISBN | : 9781668466704 |
| Author | : Information R. . . Management Association |
| Publisher | : Research Anthology on Machine Learning Techniques, Methods, and Applications |
| Total Pages | : 0 |
| Release | : 2022-05-13 |
| Genre | : |
| ISBN | : 9781668466698 |
| Author | : Olivas, Emilio Soria |
| Publisher | : IGI Global |
| Total Pages | : 852 |
| Release | : 2009-08-31 |
| Genre | : Computers |
| ISBN | : 1605667676 |
"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.
| Author | : Sathiyamoorthi Velayutham |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2020 |
| Genre | : Machine learning |
| ISBN | : 9781523129140 |
| Author | : Om Prakash Mahela |
| Publisher | : CRC Press |
| Total Pages | : 387 |
| Release | : 2024-07-03 |
| Genre | : Computers |
| ISBN | : 1040040810 |
This text discusses smart grid technologies including home energy management systems, demand management systems, source-side management systems and communication technologies for power supply management, and supervisory control and data acquisition. It further covers applications of rooftop solar PV panels, rooftop solar heating systems, solar streetlights, solar traffic signal systems, and electrical demand management for smart cities. This book: · Includes design and implementation of intelligent and smart techniques using artificial intelligence, the Internet of Things, and machine learning for the development of smart cities. · Covers important topics including smart grid power supply, energy management, smart transport system, smart buildings, and traffic management. · Provides smart solutions for waste management, traffic, parking, energy, and health care system. · Highlights renewable energy applications including rooftop solar PV panels, rooftop solar heating systems, solar traffic signal systems, and electrical demand management. · Presents MATLAB-based simulations and results for smart cities solutions. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, civil engineering, and environmental engineering.
| Author | : Cha Zhang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 332 |
| Release | : 2012-02-17 |
| Genre | : Computers |
| ISBN | : 1441993258 |
It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed “ensemble learning” by researchers in computational intelligence and machine learning, it is known to improve a decision system’s robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as “boosting” and “random forest” facilitate solutions to key computational issues such as face recognition and are now being applied in areas as diverse as object tracking and bioinformatics. Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1988 |
| Release | : 2021-09-24 |
| Genre | : Computers |
| ISBN | : 1668436639 |
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
| Author | : Mateus-Coelho, Nuno |
| Publisher | : IGI Global |
| Total Pages | : 340 |
| Release | : 2023-09-07 |
| Genre | : Computers |
| ISBN | : 1668484242 |
In recent years, industries have shifted into the digital domain, as businesses and organizations have used various forms of technology to aid information storage and efficient production methods. Because of these advances, the risk of cybercrime and data security breaches has skyrocketed. Fortunately, cyber security and data privacy research are thriving; however, industry experts must keep themselves updated in this field. Exploring Cyber Criminals and Data Privacy Measures collects cutting-edge research on information security, cybercriminals, and data privacy. It proposes unique strategies for safeguarding and preserving digital information using realistic examples and case studies. Covering key topics such as crime detection, surveillance technologies, and organizational privacy, this major reference work is ideal for cybersecurity professionals, researchers, developers, practitioners, programmers, computer scientists, academicians, security analysts, educators, and students.
