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  • Innovations in Optimization and Machine Learning

    Edición de Toufik Mzili, Adarsh Kumar Arya ...
    In today's rapidly evolving world, businesses are confronted with the complex task of streamlining their operations, utilizing machine learning to their advantage, and maneuvering through the intricacies of artificial intelligence. It has become increasingly essential to allocate resources effectively, make informed decisions based on data, and capitalize on AI technologies. However, many ... Leer más

    $346.49 USD

  • Practical Applications of Machine Learning and AI: Medicine, Environmental Science, Transportation, and Education

    Edición de Toufik Mzili, Adarsh Kumar Arya ...
    Optimization, machine learning, and artificial intelligence are revolutionizing society, medicine, environmental science, transportation, and education. In medicine, AI-driven diagnostics and personalized treatments improve patient outcomes, while optimization streamlines resource allocation. Environmental science benefits from machine learning's ability to analyze complex datasets, enabling ... Leer más

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  • Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications

    Optimization, machine learning, and fuzzy logic are fundamental in the field of computational intelligence, each contributing to solving complex problems across various domains. Optimization techniques focus on finding the best solutions to problems by improving efficiency and minimizing resources. Machine learning enables systems to learn from data, making predictions or decisions without being ... Leer más

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  • Hybrid and Advanced Technologies

    Proceedings of the International Conference on Hybrid and Advanced Technologies (ICHAT 2024), April 26-28, 2024, Ongole, Andhra Pradesh, India (Volume 1)

    The proceedings of the International Conference on Hybrid and Advanced Technologies (ICHAT 2024) present a rich repository of cutting-edge research on the various applications of machine learning, deep learning and AI in cybersecurity, healthcare, agriculture and communication systems.It highlights the revolutionary potential of data science in transforming traditional practices, improving ... Leer más

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  • Machine Learning Techniques and Industry Applications

    In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address this challenge, offering algorithms and ... Leer más

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  • Recent Advances in Computational Methods in Science and Technology

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    This proceedings compilation emerges from the exchange of research insights and innovative ideas among academicians, researchers, practitioners, and students in the field of computer science.This book gathers peer-reviewed papers covering the most recent advances in Internet of Things (IoT), Cloud Computing, Machine Learning, Networking, System Design and Methodologies, Big Data Analytics and ... Leer más

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  • Innovations in Computing

    This book presents cutting-edge research, emerging trends, and groundbreaking innovations in the field of computing. It offers insights into real-world applications that leverage computational methods and the ever-evolving landscape of machine learning.This title comprises a selection of papers that reflect a dynamic exchange of ideas in the field of Internet of things, Cloud Computing, Machine ... Leer más

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  • Proceedings of Fourth International Conference on Computing and Communication Networks

    ICCCN 2024, Volume 1

    Series series Springer Nature Proceedings excluding Computer Science
    This book includes selected peer-reviewed papers presented at fourth International Conference on Computing and Communication Networks (ICCCN 2024), held at Manchester Metropolitan University, UK, during 17–18 October 2024. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, ... Leer más

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  • Machine Learning Algorithms Using Scikit and TensorFlow Environments

    Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, ... Leer más

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  • Innovations in Data Analytics

    Selected Papers of ICIDA 2024, Volume 3

    Series series Springer Nature Proceedings excluding Computer Science
    This book features research papers presented at the Third International Conference on Innovations in Data Analytics (ICIDA 2024), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during 18–19 December 2024. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and ... Leer más

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  • Innovations in Data Analytics

    Selected Papers of ICIDA 2025, Volume 1

    Series series Springer Nature Proceedings excluding Computer Science
    This book presents a curated collection of peer-reviewed research papers from the 4th International Conference on Innovations in Data Analytics (ICIDA 2025), held at Eminent College of Management & Technology (ECMT), India, in collaboration with the International Knowledge Research Foundation, on 5–6 December 2025. The conference served as a dynamic platform for academicians, researchers, and ... Leer más

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  • Recent Trends and Future Direction for Data Analytics

    Edición de Aparna Kumari ...
    In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits ... Leer más

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