Minimax Estimator of a Lower Bounded Parameter of a Discrete Distribution under a Squared Log Error Loss Function by N. Nematollahi

“…We give necessary and sufficient conditions for which the Bayes estimator of with respect to a two points boundary supported prior is minimax under squared log error loss function. …”
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Bayesian Analysis of the Doubly Truncated Zubair-Weibull Distribution: Parameter Estimation, Reliability, Hazard Rate and Prediction by Zakiah I. Kalantan, Mai A. Hegazy, Abeer A. EL-Helbawy, Hebatalla H. Mohammad, Doaa S. A. Soliman, Gannat R. AL-Dayian, Mervat K. Abd Elaal

“…Under the squared-error and linear–exponential loss functions, the Bayes estimators are derived. …”
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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

“…This method automatically generates single-frame target detection boxes based on multi-frame joint segmentation, offering advantages in speed, cost, and accuracy. For loss function optimization, a density-based loss function is introduced to address the issue of overfitting in dense regions due to the uneven distribution of point cloud data. …”
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Mapping the Olfactory Brain: A Systematic Review of Structural and Functional Magnetic Resonance Imaging Changes Following COVID-19 Smell Loss by Hanani Abdul Manan, Rafaela de Jesus, Divesh Thaploo, Thomas Hummel

“…This systematic review consolidates findings from structural and functional MRI studies to explore how COVID-19 SARS-CoV-2-induced smell loss alters the brain. …”
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MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba by Jianqiang Zhang, Jing Hou, Qiusheng He, Zhengwei Yuan, Hao Xue

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Using spatial statistics and point‐pattern simulations to assess the spatial dependency between greater sage‐grouse and anthropogenic features by Jeffrey K. Gillan, Eva K. Strand, Jason W. Karl, Kerry P. Reese, Tamara Laninga

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The evolution of vestibular function and health-related quality of life in bilateral vestibulopathy by E. Loos, L. Van Stiphout, F. Lucieer, Nils Guinand, Angelica Pérez-Fornos, Vincent Van Rompaey, C. Desloovere, S. Denys, N. Verhaert, R. van de Berg

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A Lightweight Greenhouse Tomato Fruit Identification Method Based on Improved YOLOv11n by Xingyu Gao, Fengyu Li, Jun Yan, Qinyou Sun, Xianyong Meng, Pingzeng Liu

“…Finally, the Wise–Powerful intersection over Union (Wise-PIoU) loss function is employed to optimise the model accuracy, and the effectiveness of each improvement module is verified by means of ablation experiments. …”
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Robotic arm target detection algorithm combined with deep learning by ZHANG Lei, ZHANG Wang, YUAN Yuan

“…Finally, in order to improve the bounding box regression rate and sample stability of the detection algorithm for the target, a new weighted intersection over union (WIoU) function was introduced; after the target detection network design was completed, it was deployed on the robotic arm and verified. …”
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Contingent Convertible Bonds as an Alternative to Strengthen Banks' Ability in Financing a Real Economy by Jolanta Zombirt

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Tracking Listening Skill Development in Infants and Children with Hearing Loss: A Normative Dataset for the Functional Listening Index—Paediatric (FLI-P^®) by Robert S. C. Cowan, Aleisha Davis, Pia Watkins, Katie Neal, Ruth Brookman, Mark Seeto, Janette Oliver

“…The Functional Listening Index—Paediatric (FLI-P), a 64-item hierarchical checklist of listening skills, has been validated for children with hearing loss aged 0–6 years. …”
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Pareto Local Search Function for Optimal Placement of DG and Capacitors Banks in Distribution Systems by Abdolreza Sadighmanesh, Mehran Sabahi, Mahdi Zavvari

“…To limit the search space and find Pareto points, a new combination method including Pareto chart and a weight function has been used. …”
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Clinical characteristics and caloric testing in patients with light or heavy cupula of the horizontal semicircular canal by Xueyan Zhang, Jiao Xu, Tao Zhou, Xue Yu, Jin Xu, Heng Yu, Guangjie Song, Lingli Wei, Xu Yang, Mei Hu, Liying Chang

“…ObjectivesPersistent direction-changing positional nystagmus (DCPN) and null point (NP) are characteristic of cupulopathy of the horizontal semicircular canal (HSC). …”
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Estimation of the scale parameter of gamma model in presence of outlier observations by M. E. Ghitany

“…The Bayesian analysis is carried out under the assumption of squared error loss function and fixed or random shape parameter.…”
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Simultaneous Optimization of Network Reconfiguration and Soft Open Points Placement in Radial Distribution Systems Using a Lévy Flight-Based Improved Equilibrium Optimizer by Ridha Djamel Mohammedi, Djamal Gozim, Abdellah Kouzou, Mustafa Mosbah, Ahmed Hafaifa, Jose Rodriguez, Mohamed Abdelrahem

“…This research paper focuses on the application of a new method for the simultaneous reconfiguration and the optimum placing of Soft Open Points (SOPs) in Radial Distribution Systems (RDS). …”
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A Canine <i>c-kit</i> Novel Mutation Isolated from a Gastrointestinal Stromal Tumor (GIST) Retains the Ability to Form Dimers but Lacks Autophosphorylation by Kei Shimakawa, So Doge, Masaki Michishita, Eri Tanabe, Tsuyoshi Tajima, Masato Kobayashi, Makoto Bonkobara, Masami Watanabe, Kazuhiko Ochiai, Yoshikazu Tanaka

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Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8 by Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI

“…Finally, WIoUv3 is used as the loss function of the model. By dynamically distributing gradient gain, Focus on ordinary anchor frame quality, In the process of model training, the harmful gradient generated by low quality anchor frame is reduced. …”
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Physics-Informed Deep Learning for Three Dimensional Black Holes by Emad Yaraie, Hossein Ghaffarnejad, Mohammad Farsam

“…Data has been collected by choosing minimally coupled massive scalar field with quantum fluctuations and we try to process two emergent and ground-truth metrics versus the holographic parameter which plays the role of depth of the neural network. Loss or error function which shows rate of deviation of these two metrics in presence of penalty regularization term reaches to its minimum value when values of the learning rate approach to the observed steepest gradient point. …”
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RFCS-YOLO: Target Detection Algorithm in Adverse Weather Conditions via Receptive Field Enhancement and Cross-Scale Fusion by Gang Liu, Yingzheng Huang, Shuguang Yan, Enxiang Hou

“…Also, a new Focaler-Minimum Point Distance Intersection over Union (F-MPDIoU) loss function is proposed. …”
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A Real-Time Cotton Boll Disease Detection Model Based on Enhanced YOLOv11n by Lei Yang, Wenhao Cui, Jingqian Li, Guotao Han, Qi Zhou, Yubin Lan, Jing Zhao, Yongliang Qiao

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