檢索結果 - (( difference relocation algorithms ) OR ( (differences OR difference) evolution algorithm ))*

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  1. Gradient Expectations Downing, Keith L.

    出版 2023
    “...Behind well-founded predictions lie gradients, Downing finds, but of a different scope than those that belong to today's deep learning. ...”
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  2. Medical Data Processing and Analysis

    出版 2023
    “...Medical data can be defined as obtaining information from patients (such as signals, images, sounds, chemical components and their concentration, body temperature, respiratory rate, blood pressure, and different treatment measurements) to quantify the patient’s status and disease stage. ...”
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  3. Applied Mathematics and Fractional Calculus II

    出版 2023
    主題: “...theta finite difference method...”
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  4. Risk Management Technologies for Deep Excavations in Water-Rich Areas

    出版 2024
    主題: “...differential evolution algorithm (DE)...”
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  5. Network-on-Chip Kundu, Santanu, Chattopadhyay, Santanu

    出版 2025
    “...It details the design and evaluation of different proposed NoC structures, low-power techniques, signal integrity and reliability issues, application mapping, testing, and future trends. ...”
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  6. New Perspectives in Optical Design

    出版 2025
    主題: “...differential evolution algorithm...”
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  7. INTEGRATIVE OPPORTUNITIES OF NATIONAL ECONOMIES

    出版 2025
    “...It is shown that such aspects as the creation of a single monetary union, political union, social aspects of integration, changes in the competitive environment, technological innovations, and intercultural differences are of particular importance for the EU's strategic decisions. ...”
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  8. Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning. Sangacha Tapia, Lady Mariuxi, Celi, Ricardo Javier, Acosta Guzmán, Ivan Leonel, Varela Tapia, Eleanor Alexandra

    出版 2026
    “...Chapter 1 mentions concepts and the evolution of the different branches of knowledge that encompasses artificial intelligence (AI), the understanding of NLP, machine learning, types of learning to solve problems such as supervised, unsupervised and reinforcement. ...”
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