Determination of Steel Losses and Optimization of the Thickness of the Transformer Magnetic Conductor Sheets by S. M. Plotnikov

“…Based on the fact that the dependence of the magnetization loss on the thickness of the magnetic conductor plates is a decreasing linear function, and the eddy current loss is an ascending parabolic function, an expression of the optimal thickness of the plates has been found, the implementation of which makes the losses of steel minimal. …”
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Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks by Zhi Wu, Xiao Du, Wei Gu, Yafei Liu, Ping Ling, Jinsong Liu, Chen Fang

“…This paper studies the problem of optimal phasor measurement unit (PMU) placement considering the constraints of full system observability and load loss. …”
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Loss Simulation Analysis and Optimization of U-Groove Leaky Coaxial Cable by Junguo Gao, Zhipeng Ma, Wenhua Yang, Xiaohong Zhang

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Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…Based on these data, this study focuses on three innovative aspects as follows: rapid underwater data annotation, loss function optimization, and unsupervised moving target extraction in water. …”
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YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

“…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
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P-GELU: A Novel Activation Function to Optimize Whisper for Darija Speech Translation by Maria Labied, Abdessamad Belangour, Mouad Banane

“…Activation functions play a critical role in optimizing deep learning models, directly influencing gradient flow, convergence stability, and overall translation accuracy. …”
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Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework by Nidhi Simmons, David E. Simmons, Michel Daoud Yacoub

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Power losses reduction by optimal allocation of renewable distributed generation in distribution networks by Abdelkader Boukaroura, Mohammed Amroune

“…The objective function considered is the minimization of active power losses. …”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

“…This study aims to create a contrastive learning-based system to explore the potential of a generic method for enhancing code embedding for code classification tasks. A triplet loss-based deep learning network is designed to optimize in-class similarity and increase the distance between classes. …”
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A review of the optimization of thyroid function, thrombophilia, immunity and uterine milieu: OPTIMUM treatment strategy for recurrent implantation failure and recurrent pregnancy loss by Keiji Kuroda

“…Abstract Background Aside from embryonic factors, various factors can intricately interfere with embryo implantation and maintenance of pregnancy, causing recurrent implantation failure (RIF) or recurrent pregnancy loss (RPL). This review focuses the optimization of thyroid function, thrombophilia, immunity, and uterine milieu (OPTIMUM) treatment strategy on RIF and RPL. …”
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SELECTING OPTIMAL PROCESS PARAMETERS OF Al2O3/C COMPOSITE USING GRA WITH PCA AND TAGUCHI’S QLF APPROACH by Idrus Syahzaqi, Hani Brilianti Rochmanto, Muhammad Ahsan

“…In this research, statistical analysis is carried out using GRA with PCA and Quality Loss Function.  The result was the best model based on the Quality Loss Function, because the method has the biggest determination coefficient value is 99,97% where the results is better than GRA with PCA. …”
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Metal surface defect detection using SLF-YOLO enhanced YOLOv8 model by Yuan Liu, Yilong Liu, Xiaoyan Guo, Xi Ling, Qingyi Geng

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Non-Iterative Phase-Only Hologram Generation via Stochastic Gradient Descent Optimization by Alejandro Velez-Zea, John Fredy Barrera-Ramírez

“…We defined and evaluated four loss functions based on common image quality metrics and compared the performance of SGD-optimized random phases with those generated using Gerchberg–Saxton (GS) optimization. …”
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Comparing Optimal Portfolio Performance Based on Skew-Normal Distribution and Skew-Laplace-Normal Distribution: A Mean-Absolute Deviation-Entropy Approach by Hila Rezaei, Gholamhossien Golarzi, Omid Karimi

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Research on the Performance Optimization of Turbulent Self-Noise Suppression and Sound Transmission of Acoustic Windows Made from Functionally Graded Material by Bing LI, Fu-Lin ZHOU, Jun FAN, Bin WANG, Liwen TAN

Subjects: “…functionally graded material…”
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Determination of Pipe Diameter Using Optimization Method by Pavlov Mikhail Vasilyevich, Vafaeva Khristina Maksudovna, Karpov Denis Fedorovich, Bhatnagar Sanjay, Kommanaboina Uma Shankar, Sharma Dikshit, Singh Digvijay, Sateesh N., Singh Pankaj Kumar

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Noninvasive grading of renal interstitial fibrosis and prediction of annual renal function loss in chronic kidney disease: the optimal solution of seven MR diffusion models by Guanjie Yuan, Zhouyan Liao, Ping Liang, Lingli Cai, Kailun Zhou, Ting Yin, Wei Chen, Omar Darwish, Chuou Xu, Min Han, Zhen Li

“…Objectives To explore the optimal choice of seven diffusion models (DWI, IVIM, DKI, CTRW, FROC, SEM, and sADC) to assess renal interstitial fibrosis (IF) and annual renal function loss in chronic kidney disease (CKD).Methods One hundred thirty-three CKD patients and 30 controls underwent multi-b diffusion sequence scans. …”
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A dual GAN with identity blocks and pancreas-inspired loss for renewable energy optimization by Mostafa Elbaz, Wael Said, Gamal M. Mahmoud, Hanaa Salem Marie

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Minimization of Power Loss as a Design Criterion for the Optimal Synthesis of Loader Drive Mechanisms by Jovan Pavlović, Vesna Jovanović, Dragan Marinković, Dragoslav Janošević, Žarko Ćojbašić

“…As energy efficiency becomes a significant performance indicator in mobile machines, power losses are recognized as an important criterion in the design and optimization of these systems. …”
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Optimal placement of renewable distributed generators and electric vehicles using multi-population evolution whale optimization algorithm by Rinchen Zangmo, Suresh Kumar Sudabattula, Sachin Mishra, Nagaraju Dharavat, Naresh Kumar Golla, Naveen Kumar Sharma, Vinay Kumar Jadoun

“…Abstract This research takes on a crucial task- exploring the optimal placement of Renewable Distributed Generators such as Solar Photovoltaic, wind turbines and Electric Vehicles into the Radial Distribution System (RDS). …”
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