Showing 241 - 260 results of 2,122 for search '(optimized OR optimize) loss function', query time: 0.14s Refine Results
  1. 241

    GENETIC ALGORITHM IN OPTIMIZATION DESIGN OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR by Phuong Le Ngo

    Published 2017-05-01
    “…The objective of the optimization process is usually to minimize cost, energy loss, mass, or maximize torque and efficiency. …”
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  2. 242

    Simultaneous Optimal Allocation of EVCSs and RESs Using an Improved Genetic Method by Majid Farjamipur, Hossein Lotfi, Mohammad Hassan Nikkhah

    Published 2024-01-01
    “…Based on the obtained results, after the implementation of the proposed plan in the distribution network, the objective functions of the loss, voltage drop, and the total cost have been reduced by 13.6%, 58.7%, and 54.4%, respectively, compared to the base conditions of the network.…”
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  5. 245

    TSUKAMOTO FUZZY IN OPTIMIZING THE CREDITWORTHINESS ASSESSMENT PROCESS AT SAVINGS AND LOAN COOPERATIVES by Tabah Heri Setiawan, Laras Prihatini

    Published 2023-06-01
    “…Tsukamoto fuzzy method consists of four steps.: fuzzification, Forming fuzzy rules, application of implication functions using the MIN function and defuzzification using the weighted average calculation method. …”
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  6. 246

    A Bicriteria Model to Determine Pareto Optimal Pulse Vaccination Strategies by Funda Samanlioglu, Nauman Tabassum, Tolga Kudret Karaca, Ayse Humeyra Bilge

    Published 2024-01-01
    “…The aim of this paper is to determine approximate Pareto optimal (efficient) pulse vaccination strategies for epidemics modeled by the susceptible-infected-removed (SIR) without population dynamics, characterized by a single epidemic wave. …”
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    Allocation of Interline Power Flow Controller-Based Congestion Management in Deregulated Power System by Muhammad Safdar Sial, Qinghua Fu, Talles Vianna Brugni

    Published 2022-04-01
    “…Therefore, an objective function is defined, including the stated parameter, minimizing the generation cost, congestion costs, power losses, and improving the voltage profile. …”
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    Hybrid CNN-LSTM Model with Custom Activation and Loss Functions for Predicting Fan Actuator States in Smart Greenhouses by Gregorius Airlangga, Julius Bata, Oskar Ika Adi Nugroho, Boby Hartanto Pramudita Lim

    Published 2025-04-01
    “…The hybrid model integrates CNNs for spatial feature extraction and LSTMs for temporal dependency modeling, enhanced by a custom activation function and loss function tailored for the problem’s characteristics. …”
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  12. 252

    Investigating diverse loss functions for myocardium ring segmentation in Cardiac Magnetic Resonance images using fuzzy pooling by Riandini, Eko Mulyanto Yuniarno, I. Ketut Eddy Purnama, Masayoshi Aritsugi, Mauridhi Hery Purnomo

    Published 2025-07-01
    “…This study enhances the U-Net model with fuzzy pooling and evaluates the effects of different loss functions: cross-entropy loss, which evaluates the disparity between predicted and actual probability distributions; focal loss, which tackles class imbalance by reducing the weight of easily classified examples; dice loss, which emphasizes the overlap between predicted and actual segments; Lovász-Softmax loss, which is optimized for Intersection over Union (IoU); and CrossLov, which merges cross-entropy and Lovász-softmax, using the ACDC 2017 dataset. …”
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  13. 253
  14. 254

    Left ventricular segmentation method based on optimized UNet and improved CBAM: ESV and EDV tracking study. by Kerang Cao, Miao Zhao, Minghui Geng, Shuai Zheng, Hoekyung Jung

    Published 2025-01-01
    “…This paper introduces an optimized nested UNet model for automated left ventricular segmentation in cardiac function assessment. …”
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  15. 255

    Optimized exposer region-based modified adaptive histogram equalization method for contrast enhancement in CXR imaging by Shivam Gangwar, Reeta Devi, Nor Ashidi Mat Isa

    Published 2025-02-01
    “…Conventional contrast enhancement techniques, such as histogram equalization, often introduce intensity shifts and loss of fine details. This study presents an advanced Exposure Region-Based Modified Adaptive Histogram Equalization (ERBMAHE) method, further optimized using Particle Swarm Optimization (PSO) to enhance contrast, preserve brightness, and strengthen fine details. …”
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  16. 256

    A Multi-Category Defect Detection Model for Rail Fastener Based on Optimized YOLOv8n by Mei Chen, Maolin Zhang, Jun Peng, Jiabin Huang, Haitao Li

    Published 2025-06-01
    “…The CA mechanism is incorporated to enhance the feature extraction capability, and the bounding box loss function is further upgraded to improve the model’s generalization performance. …”
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  17. 257

    Optimized Marine Target Detection in Remote Sensing Images with Attention Mechanism and Multi-Scale Feature Fusion by Xiantao Jiang, Tianyi Liu, Tian Song, Qi Cen

    Published 2025-04-01
    “…The proposed YOLOv5-ASC integrates three core components: an Attention-based Receptive Field Enhancement Module (ARFEM), an optimized SIoU loss function, and a Deformable Convolution Module (C3DCN). …”
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  18. 258

    Mitigating the interface defects influence on SnSe solar cells using optimized electron transport layer by Ziyad Younsi, Hichem Bencherif, Faycal Meddour, P. Sasikumar, Alaeddine Zereg, Vimalan Mark, R. Perumal

    Published 2024-12-01
    “…Besides, the suggested model is used as a fitness function for the Multi Objective Particle Swarm Optimization (MOPSO) technique to identify the optimal combination of design parameters that produced the highest efficiency. …”
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  19. 259

    Successful cryopreservation of marine invertebrates immune cells enables long-term studies of common octopus, Octopus vulgaris Cuvier 1797, hemocyte immune functions by María M. Costa, Estefania Paredes, Mercedes Peleteiro, Lucía Sánchez-Ruiloba, Francisco Gambón, Sonia Dios, Camino Gestal

    Published 2025-03-01
    “…Additionally, high-quality cell suspensions are essential for successful applications, such as single-cell sequencing, where viability and functionality are the key to optimal identification. …”
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  20. 260

    A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

    Published 2025-01-01
    “…To address this challenge, this study develops a method combining Variational Mode Decomposition (VMD) and Sparrow Search Algorithm (SSA)-optimized Gate Recurrent Unit (GRU) for recovering structural response data. …”
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