Rezultati - ((different OR difference) OR differences) evolution algorithm

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  1. Gradient Expectations od Downing, Keith L.

    Izdano 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

    Izdano 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

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

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

    Izdano 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

    Izdano 2025
    Teme: “...differential evolution algorithm...”
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  7. INTEGRATIVE OPPORTUNITIES OF NATIONAL ECONOMIES

    Izdano 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. od Sangacha Tapia, Lady Mariuxi, Celi, Ricardo Javier, Acosta Guzmán, Ivan Leonel, Varela Tapia, Eleanor Alexandra

    Izdano 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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