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  1. 1

    Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation by Jin Han, Liang Yang

    Published 2024-12-01
    “…First, a sentence embedding generation method based on Kullback–Leibler Divergence (KLD) optimization is proposed, which enhances semantic differentiation between sentence vectors, thereby improving the accuracy of textual similarity computation. …”
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    Article
  2. 2

    Economic Dispatch in Electrical Systems with Hybrid Generation Using the Differential Evolution Algorithm: A Comparative Analysis with Other Optimization Techniques Under Energy Li... by Jorge Cadena-Albuja, Carlos Barrera-Singaña, Hugo Arcos, Jorge Muñoz

    Published 2025-06-01
    “…The primary aim is to compare various generation scenarios to evaluate the influence of renewable energy-based power plants on the overall operating cost of an Electric Power System. …”
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  3. 3

    Differential evolution-optimized gold nanorods for enhanced photothermal conversion by Aimad Koulali, Piotr Radomski, Paweł Ziółkowski, Francesca Petronella, Luciano De Sio, Dariusz Mikielewicz

    Published 2025-03-01
    “…This study also includes Computational Fluid Dynamics (CFD) calculations to evaluate the impact of optimized AuNRs on heat generation in a real-world scenario. …”
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    Evaluating Differentiated Learning in Merdeka Curriculum to Strengthen Pancasila Students’ Profile by Makrufi Anisa Dwi, Syahrir Muhammad

    Published 2024-01-01
    “…Further research can optimize the integration of this approach into learning practices and evaluate its overall impact.…”
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    Article
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    Aerodynamic optimization of small diffuser Augmented Wind Turbines: A differential evolution approach by Turan Dias Oliveira, Luzia Aparecida Tofaneli, Alex Álisson Bandeira Santos

    Published 2025-04-01
    “…This work aims to study the impact of wind characteristics on the optimal aerodynamic design of a DAWT blade considering non-uniform flow generated using the diffuser. …”
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  7. 7

    Optimizing Combined Heat and Power Economic Dispatch Using a Differential Evolution Algorithm by Mahender K., Rao Gundala Srinivasa, Kamalakar Gangula, Venkateshwarlu S., Polasa Swathi, Pulluri Harish

    Published 2025-01-01
    “…The electrical load dispatch (ELD) optimizes the scheduling of various power plants to deliver the necessary power at the lowest operational cost. …”
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  8. 8

    Precise estimation of solar photovoltaic parameters via brown bear optimization and Differential Evolution by Khalid M. Hosny, Amr A. Abd El-Mageed, Amr A. Abohany, Reda M. Hussein, Mona Gaffar

    Published 2025-08-01
    “…To overcome these challenges, this paper presents an enhanced optimization method: the Brown Bear Optimization Algorithm (BBOA) hybridized with Diagonal Linear Uniform Initialization (DLUI) and the Differential Evolution (DE) algorithm, termed BBOA-DLUI-DE. …”
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  9. 9

    A hybrid differential evolution particle swarm optimization algorithm based on dynamic strategies by Huarong Xu, Qianwei Deng, Zhiyu Zhang, Shengke Lin

    Published 2025-02-01
    “…To address this issue, we propose a hybrid differential evolution (DE) particle swarm optimization algorithm based on dynamic strategies (MDE-DPSO). …”
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  10. 10

    An effective parameter estimation on thermoelectric devices for power generation based on multiverse optimization algorithm by Luis Fernando Grisales-Noreña, Vanessa Botero-Gómez, Rubén Iván Bolaños, Faustino Moreno-Gamboa, Daniel Sanin-Villa

    Published 2025-03-01
    “…This study explores using the Multiverse Optimization Algorithm to estimate the material properties of thermoelectric generators used for power generation. …”
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    Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

    Published 2025-01-01
    “…To address these issues, the improved artificial bee colony optimization underwater localization algorithm by logistic chaos mapping and differential evolution (LDIABC), was proposed. …”
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    Evaluating and Improving Syndrome Differentiation Thinking Ability in Large Language Models: Method Development Study by Chunliang Chen, Xinyu Wang, Ming Guan, Wenjing Yue, Yuanbin Wu, Ya Zhou, Xiaoling Wang

    Published 2025-06-01
    “…This approach effectively generates high-quality instruction data that aligns with the unique characteristics of TCM syndrome differentiation thinking. …”
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  15. 15

    Scalable evaluation framework for retrieval augmented generation in tobacco research using large Language models by Sherif Elmitwalli, John Mehegan, Sophie Braznell, Allen Gallagher

    Published 2025-07-01
    “…Abstract Retrieval-augmented generation (RAG) systems show promise in specialized knowledge domains, but the tobacco research field lacks standardized assessment frameworks for comparing different large language models (LLMs). …”
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  16. 16

    Differentiation of Pneumocystis jirovecii pneumonia from colonization: a clinical decision framework incorporating risk stratification and next-generation sequencing thresholds by Xiaoyan Sun, Peng Zhang, Kaiyu Zhang

    Published 2025-07-01
    “…A diagnostic model incorporating these four variables demonstrated excellent predictive capability, yielding an area under the receiver operating characteristic curve of 0.892 (P < 0.001; 95% confidence interval: 0.855–0.929). The optimal NGS sequence count threshold for differentiating PJP from colonization was determined to be 37, achieving a sensitivity of 91% and a specificity of 87.8% (area under the receiver operating characteristic curve: 0.964). …”
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  17. 17

    A Multi-Criteria Perceptual Visual Complexity Metrics-Based Optimization Approach to User Interface Design Layouts by Eren Akca, Omer Ozgur Tanriover, Asim Egemen Yilmaz

    Published 2025-01-01
    “…To this aim, we developed a method that relies on perceptual visual complexity metrics specifically, alignment, balance, density and an introduced measure called distance to focal area. Differential evolution algorithm is adapted to the problem to generate a set of pareto optimal alternative layout designs. …”
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    Production Quality Evaluation of Electronic Control Modules Based on Deep Belief Network by Hua Gong, Wanning Xu, Congang Chen, Wenjuan Sun

    Published 2024-11-01
    “…First, key indicators are extracted to construct a production quality evaluation index system. A Multi-mutation Differential Evolution algorithm is designed to optimize the initial network weights of the Deep Belief Network (DBN) and integrate the production quality information into the pre-training phase. …”
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