YOLOGX: an improved forest fire detection algorithm based on YOLOv8 by Caixiong Li, Yue Du, Xing Zhang, Peng Wu

“…Finally, the proposed Focal-SIoU loss function replaces the original loss function, effectively reducing directional errors by combining angle, distance, shape, and IoU losses, thus optimizing the model training process. …”
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A Lightweight and High-Accuracy Model for Pavement Crack Segmentation by Yuhui Yu, Wenjun Xia, Zhangyan Zhao, Bin He

“…Lastly, a dynamic combined loss function is employed during training to further improve model attention on crack edge details. …”
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Critical review of sunflower harvesting header technology: Loss reduction, adaptability, and intelligent mechanization by Zhong Tang, Sheng Tai, Bin Li, Shiguo Wang, Yang Liu, Tiantian Jing, Xiaohu Guo

“…However, persistent challenges in reducing header losses, enhancing adaptability to diverse agro-conditions, and advancing intelligent mechanization impede optimal performance. …”
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Effect of Fe (III) Addition on Ammonium Loss and Associated Microbial Gene Expression in Soils by Liyu Cheng, Hongjie Zhu, Weihao Xing, Benjun Zhou

“…According to parameter optimization analysis for prediction equation, the maximum NH4+-N loss was 86.1% under the conditions of 17.0 °C, 0.772 g·kg-1 Fe (III), 21.9 mg·kg−1 NH4+-N, and soil: liquid ratio of 1:1. …”
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PECTIN THERAPY IS A METHOD OF PREVENTION OF REPRODUCTIVE LOSSES ASSOCIATED WITH INTRAPLACENTARY ACCUMULATION OF RADIONUCLIDES by А. Живецька- Денисова, І. Воробйова, Н. Скрипченко, Л. Лозова, О. Шамаєва, Н. Рудакова, С. Стрижак

“…Internal radiation is one of the causes of reproductive losses. The accumulation of 137Cs in the placenta disrupts its architecture, functionality, and peroxide hemostasis. …”
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Distributionally Robust Policy and Lyapunov-Certificate Learning by Kehan Long, Jorge Cortes, Nikolay Atanasov

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Investigation of scale parameter for the Weibull-Chen distribution by Mohamed Mubarak, Fathy H. Riad

“…The optimal combination of a loss function and a prior can be determined by minimizing Bayes risk and achieving the best results.…”
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A novel integrated TDLAVOA-XGBoost model for tool wear prediction in lathe and milling operations by Zhongyuan Che, Chong Peng, Chi Wang, Jikun Wang

“…A lens imaging reverse learning strategy further refined global search capabilities through iterative optimization of top individuals. TDLAVOA was validated against classical and modern algorithms on benchmark functions. …”
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Wood Panel Defect Detection Based on Improved YOLOv8n by Rui Li, Shilu Zhong, Xuemei Yang

“…A hybrid encoder was added to improve localization accuracy. The loss function was optimized to improve detection accuracy and convergence speed. …”
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Computationally Efficient and Loss-Minimizing Model Predictive Control for Induction Motors in Electric Vehicle Applications by Carolina Nicolás-Martín, Miguel E. Montilla-DJesus, David Santos-Martín, Jorge Martínez-Crespo

“…The loss-minimizing function is derived from the induction motor model and accounts for all motor losses, including iron losses. …”
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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…Subsequently, a novel loss function named Local Blur Discrimination Loss is designed to address the local blur phenomenon and suppress the generation of fabric artifacts during the super-resolution process. …”
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Robust Constrained Model Predictive Control for T-S Fuzzy Uncertain System with Data Loss and Data Quantization by Hongchun Qu, Yu Li, Wei Liu

“…Based on the obtained stability results, a model predictive controller which explicitly considers the input and state constraints is synthesized by minimizing an upper bound of the worst-case infinite horizon quadratic cost function. The developed MPC algorithm can guarantee the recursive feasibility of the optimization problem and the stability of closed-loop system simultaneously. …”
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Exponential Squared Loss-Based Robust Variable Selection with Prior Information in Linear Regression Models by Hejun Wei, Tian Jin, Yunquan Song

“…For more than a decade, penalized likelihood frameworks have been the predominant approach for variable selection, where appropriate loss and penalty functions are selected to formulate unconstrained optimization problems. …”
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A Lightweight Model Enhancing Facial Expression Recognition with Spatial Bias and Cosine-Harmony Loss by Xuefeng Chen, Liangyu Huang

“…This function optimizes the relative positions of feature vectors in high-dimensional space, resulting in better feature separation and clustering. …”
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Reducing Efficiency Loss Caused by Land Investment Introduction Based on Factor-Biased Technological Progress by Ning Zhang, Linyun Zhou

“…Using a nested constant elasticity of substitution (CES) production function, we theoretically validate the premise that land investment introduction disrupts the optimal allocation of productive factors and reduces the “threshold selection” effect of land cost, leading to efficiency losses. …”
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Multi-Scale DCNN with Dynamic Weight and Part Cross-Entropy Loss for Skin Lesion Diagnosis by Gaoshuai Wang, Linrunjia Liu, Fabrice Lauri, Amir HAJJAM El Hassani

“…Multi-scale DCNN with dynamic weight and part loss function verifies its advantages in enhancing diagnosis accuracy.…”
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An Algorithm for Restoring a Function from Different Functionals for Predicting Rare Events in the Economy by Yu. A. Korablev

“…Formulas for calculating the cross-validation score CV (α) for the automatic procedure for determining the smoothing parameter α from the data in our problem of recovering a function by many functionals are shown. The paper concludes that the presented method makes it possible to analyze and predict rare events, which will allow you to prepare for such future events, get some benefit from this, or reduce possible risks or losses.…”
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Anisotropy of losses in non-segmented assemblies of grain-oriented steel with circular easy axis distribution by S. Dobák, J. Füzer, I. Petryshynets, P. Kollár, F. Kováč

“…We decompose the total losses into hysteresis and dynamic components as functions of frequency, peak induction, and shifting angle. …”
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A Fuzzy Clustering Logic Life Loss Risk Evaluation Model for Dam-Break Floods by Yantao Zhu, Xinqiang Niu, Chongshi Gu, Bo Dai, Lixian Huang

“…This paper analyzes the direct and indirect factors affecting the risk of life loss in dam failures and studies the characteristics, distribution rules, and membership functions of each factor. …”
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Model-Aware End-to-End Learning for SISO Optical Wireless Communication Over Poisson Channel by Ling-Han Si-Ma, Zhao-Rui Zhu, Hong-Yi Yu

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