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  • Sách/Book


  • Authors: Ghita K. Mostefaoui (2022)

  • Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that the next generation healthcare services are sprouting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services would improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of ch...

  • Sách/Book


  • Authors: José Manuel Machado (2023)

  • DCAI 2022 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems.

  • Sách/Book


  • Authors: Fadi Al-Turjman (2023)

  • Artificial Intelligence of Health-Enabled Spaces (AIoH) has made revolutionary advances in clinical studies that we know so far. Among these advances, intelligent and medical services are gaining lots of interest. Nowadays, AI-powered technologies are not only used in saving lives, but also in our daily life activities in diagnosing, controlling, and even tracking of COVID-19 patients. The AI-powered solutions are expected to communicate with cellular networks smoothly in the next generation networks (5G/6G and beyond) for more effective/critical medical applications. This will open the door for another interesting research areas. This book focuses on the development and analysis of Artificial Intelligence (AI) models applications across multi-disciplines. AI based deep learning mod...

  • Sách/Book


  • Authors: Bhaso Ndzendze (2023)

  • The book takes a historic, contemporary and long-term approach to explain and anticipate AI’s impact on IR – and vice versa – through a systematic treatment of 9 theoretical paradigms and schools of thought including realism, liberalism, feminism, postcolonial theory and green theory.

  • Sách/Book


  • Authors: Ahmed S. Abbas (2023)

  • This text discusses sensitivity parametric analysis for the single tuned filter parameters and presents an optimization-based method for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems. It also highlights the importance of artificial intelligence techniques such as water cycle algorithms in solving power quality problems such as over-voltage and harmonic distortion.

  • Sách/Book


  • Authors: DeMeo, Stephen (2008)

  • For the first time in science education, the subject of multiple solution methods is explored in book form. While a multiple method teaching approach is utilized extensively in math education, there are very few journal articles and no texts written on this topic in science. Teaching multiple methods to science students in order to solve quantitative word problems is important for two reasons. First it challenges the practice by teachers that one specific method should be used when solving problems. Secondly, it calls into question the belief that multiple methods would confuse students and retard their learning.

  • Sách/Book


  • Authors: Dragorad A. Milovanovic (2023)

  • Driving 5G Mobile Communications with Artificial Intelligence towards 6G is a moderate book with figures, tables, lists, MathML and formatting defined with structural markup. This book contains accessibility features such as a table of content, landmark, reading order, structural navigation, index, semantic structure, print page fidelity, in-text navigation links, and backlinks returning to the first in-text citation. Linked DOIs are provided, but are not uniquely identified.