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  1. 3081

    Cognitive Bias in Ambiguity Judgements: Using Computational Models to Dissect the Effects of Mild Mood Manipulation in Humans. by Kiyohito Iigaya, Aurelie Jolivald, Wittawat Jitkrittum, Iain D Gilchrist, Peter Dayan, Elizabeth Paul, Michael Mendl

    Published 2016-01-01
    “…These apparently contradictory findings may be explained by the influence of affect on different processes underlying decision-making, and the task presented here offers opportunities for further dissecting such processes.…”
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  2. 3082

    Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest by Dágila Melo Rodrigues, Paulo Carteri Coradi, Newiton da Silva Timm, Michele Fornari, Paulo Grellmann, Telmo Jorge Carneiro Amado, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, José Luís Trevizan Chiomento

    Published 2024-01-01
    “…The use of sensors in the field and post-harvest processes allows for accurate real-time monitoring of operations and grain quality, enabling decision-making supported by computer tools such as the Internet of Things (IoT) and artificial intelligence algorithms. …”
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    Full Data-Processing Power Load Forecasting Based on Vertical Federated Learning by Zhengxiong Mao, Hui Li, Zuyuan Huang, Yuan Tian, Peng Zhao, Yanan Li

    Published 2023-01-01
    “…The first problem is a lack of a full data-processing procedure, and the second is a lack of enhanced privacy protection for data processing. …”
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    Article
  7. 3087

    A Genetic Programming Approach to Reconfigure a Morphological Image Processing Architecture by Emerson Carlos Pedrino, José Hiroki Saito, Valentin Obac Roda

    Published 2011-01-01
    “…Genetic programming is a branch of evolutionary computing, and it is consolidating as a promising method for applications of digital image processing. …”
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    Water Level Detection and Flood Early Warning System Using Image Processing by Muhammad Akmal Ilmi, I Komang Somawirata, Michael Ardita

    Published 2025-04-01
    “…Image processing is a crucial method in modern technology, enabling computers to analyze and extract information from images or videos. …”
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  13. 3093
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    Predictive Machine Learning Approaches for Supply and Manufacturing Processes Planning in Mass-Customization Products by Shereen Alfayoumi, Amal Elgammal, Neamat El-Tazi

    Published 2025-02-01
    “…Planning in mass-customization supply and manufacturing processes is a complex process that requires continuous planning and optimization to minimize time and cost across a wide variety of choices in large production volumes. …”
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  15. 3095

    Survey for Sensor-Cloud System from Business Process Outsourcing Perspective by JeongYeon Kim

    Published 2015-09-01
    “…Cloud computing is a new IT trend to meet the new business requirements such as business agility and operational efficiency with business process outsourcing (BPO). …”
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    Computational Modeling of Properties of Quantum Dots and Nanostructures: From First Principles to Artificial Intelligence (A Review) by Grzegorz Matyszczak, Krzysztof Krawczyk, Albert Yedzikhanau

    Published 2025-02-01
    “…The aim of this article is to review the most important and useful computational and mathematical approaches for the description and control of processes involving nanostructures.…”
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  19. 3099

    DFT and PM3 Computational Studies of the Reaction Mechanism of the Oxidation of L-Tyrosine by Iodine in the Gas Phase by Gideon A. Shallangwa, Adamu Uzairu, Victor O. Ajibola, Hamza Abba

    Published 2014-07-01
    “…The postulated transition states, intermediates and products were also computed using the PM3 and DFT methods. Computed enthalpies of the oxidation reaction at standard conditions for the PM3 and DFT calculation were 216.97 kJ/mol and -36327404.72 kJ/mol respectively. …”
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  20. 3100

    Technical note: A modified formulation of dynamic energy budget theory for faster computation of biological growth by J. Tang, W. J. Riley

    Published 2025-04-01
    “…In an example of modeling the growth of <i>Thalassiosira weissflogii</i> in a nitrogen-limiting chemostat, the mDEB model was found to have almost the same accuracy as the sDEB model while requiring almost half of the computing time of the sDEB model. Since the sDEB model has been successfully applied in numerous studies, we believe that the mDEB model can help improve the modeling of biological growth and the associated ecosystem processes in various contexts.…”
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