Discrete Exponentiated Generalized Family of Distributions by Abeer E. Abd EL-Hady, Mai A. Hegazy, Abeer A. EL-Helbawy

“…Also, maximum likelihood estimators of the survival, hazard rate and alternative hazard rate functions are derived. The confidence intervals for the parameters, survival, hazard rate and alternative hazard rate functions are obtained. …”
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Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

“…Whereas the CHAID tree in 0.76 cases made a correct prediction with 0.85 precision and predicted the occurrence of lightning rate to be 0.54, which is very similar to the real value 0.62, and among the network artificial models Support Vector Machine (SVM) model with maximum utility with prediction of 0.77 accuracy and precision of 0.85 and prediction of 0.60 probability of lightning occurrence have priority and superiority than Radial Basis Function (RBF) and Multi-Layer Perceptron (MLP) models. …”
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Damping profile learning for human-robot collaboration using Bayesian optimization with a task success rate model by Liem Duc TRAN, Tasuku YAMAWAKI, Masahito YASHIMA

“…Extensive simulations and real-world experimental evaluations with a 7-DOF robot arm demonstrate that the proposed method can generate appropriate impedance parameters, exhibiting a substantial advantage over conventional impedance-learning methods in terms of learning performance.…”
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RBF-FDTD Analysis of Lightning-Induced Voltages on Multi-Conductor Distribution Lines by Duc-Quang Vu, Nhat-Nam Nguyen, Phan-Tu Vu

“…This study proposes a novel implementation of the Radial Basis Function-Finite Difference Time Domain (RBF-FDTD) method, extending the foundation of our previous work to address the field-to-line coupling equations governing such systems. …”
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Adaptive distributed stochastic deep reinforcement learning control for voltage and frequency restoration in islanded AC microgrids with communication noise and delay by Nima Mahdian Dehkordi, Vahab Nekoukar

“…This hybrid framework facilitates real-time optimization of control policies, contributing to improved resilience and robustness under realistic network conditions. …”
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CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8. by Qian Shen, Yi Li, YuXiang Zhang, Lei Zhang, ShiHao Liu, Jinhua Wu

“…First, the bottleneck of the C2f module in the original yolov8 network is replaced with the residual Faster-Block module in FasterNet, and then the new channel mixer convolution GLU (CGLU) in TransNeXt is combined with it to construct the C2f-faster-CGLU module, reducing the number of model parameters and computational load; Secondly, the SPPF module is combined with the large separable kernel attention (LSKA) to construct the SPPF-LSKA module, which greatly enhances the feature extraction ability of the model; Then, by adding a small target detection layer, the accuracy of small target detection such as traffic signs is greatly improved; Finally, the Inner-IoU and MPDIoU loss functions are integrated to construct WISE-Inner-MPDIoU, which replaces the original CIoU loss function, thereby improving the calculation accuracy. …”
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A Swap-Integrated Procurement Model for Supply Chains: Coordinating with Long-Term Wholesale Contracts by Min-Yeong Ryu, Pyung-Hoi Koo

“…Despite its increasing adoption in the real world, theoretical studies on swap-based procurement remain limited. …”
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Slim-YOLO: An Improved Sugarcane Tail Tip Recognition Algorithm Based on YOLO11n for Complex Field Environments by Chunming Wen, Yang Cheng, Shangping Li, Leilei Liu, Qingquan Liang, Kaihua Li, Youzong Huang

“…This paper proposes Slim-YOLO, an improved YOLO11n-based algorithm incorporating a lightweight RepViT backbone, an ELANSlimNeck neck structure, and the Unified-IoU (UIoU) loss function. Experimental results on the sugarcane tailing dataset show that Slim-YOLO achieves an mAP50 of 92.2% and mAP50:95 of 48.2%, outperforming YOLO11n by 8.2% and 6.1%, respectively, while reducing parameters by 48.4%. …”
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Game algorithm based on link quality: Wireless sensor network routing game algorithm based on link quality by Zhanjun Hao, Jiaojiao Hou, Jianwu Dang, Xiaochao Dang, Nanjiang Qu

“…Then, the link quality, node residual energy, and minimum jump transmission strategy are integrated into the utility function to establish a game model to determine the best next hop transmission node. …”
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Maximum Approximated Likelihood Estimation in Generalized Linear Multilevel Model for Nominal Response with Covariates Subject to Measurement Error by Maryam Ahangari, Mousa Golalizadeh, Zahra Rezaei Ghahroodi

“…We will describe and compare different upshots of parameter estimation in these two different situations. …”
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Approximation by interpolation spectral subspaces of operators with discrete spectrum by M.I. Dmytryshyn

“…In this regard, the $E$-functional is used that plays a similar role as the module of smoothness in the function theory. …”
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Increased Cord Blood Betatrophin Levels in the Offspring of Mothers with Gestational Diabetes. by Xuemei Xie, Hongjie Gao, Shimin Wu, Yue Zhao, Caiqi Du, Guandou Yuan, Qin Ning, Kenneth McCormick, Xiaoping Luo

“…Cord blood and placental tissue was collected immediately post delivery. Metabolic parameters were determined in the Clinical Laboratory. …”
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Visual manifestations features in rare cases of combined pathology: pituitary adenoma and multiple sclerosis by E. E. Ioyleva, I. R. Makarenko

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Exploring the performance of LBP-capsule networks with K-Means routing on complex images by Patrick Mensah Kwabena, Benjamin Asubam Weyori, Ayidzoe Abra Mighty

“…In this paper, we propose the use of an efficient texture descriptor (Local Binary Pattern -LBP), sigmoid function, and k-means routing respectively in place of CNN, SoftMax, and dynamic routing. …”
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A Lightweight Barcode Detection Algorithm Based on Deep Learning by Jingchao Chen, Ning Dai, Xudong Hu, Yanhong Yuan

“…For existing situations of missed detections, false detections, and repeated detections in barcode detection algorithms in real-world scenarios, a barcode detection algorithm based on improved YOLOv8 is proposed. …”
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Electromagnetic Source Imaging With a Combination of Sparse Bayesian Learning and Deep Neural Network by Jiawen Liang, Zhu Liang Yu, Zhenghui Gu, Yuanqing Li

“…Meanwhile, it acquired superior performance compared to SI-STBF and several benchmarks in a variety of source configurations. Additionally, in real data experiments, it obtained the concordant results with the prior studies.…”
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Research on Feature Extraction Method of Engine Misfire Fault Based on Signal Sparse Decomposition by Canyi Du, Fei Jiang, Kang Ding, Feng Li, Feifei Yu

“…Secondly, the dictionary with clear physical meaning is constructed by the unit impulse function, whose parameters are associated with engine system modal characteristics. …”
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Temperature compensated crystal oscillator design in Keysight ADS by A. N. Lyashuk, A. V. Kosykh

“…The article proposes an all-embracing approach to designing a temperature compensated crystal oscillator in Keysight ADS CAD system, which allows: to investigate the conditions for the occurrence of self-oscillations in a given oscillator circuit; analyze the temperature-frequency characteristics of the resonator; form requirements for the frequency control function; simulate noise characteristics of the generator; optimize the circuit according to the given parameters. …”
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Optimizing and Visualizing Drone Station Sites for Cultural Heritage Protection and Research Using Genetic Algorithms by Seok Kim, Younghee Noh

“…GA optimization uses a fitness function based on the ratio of cultural artifacts covered to installation cost. …”
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DDD++: Exploiting Density map consistency for Deep Depth estimation in indoor environments by Giovanni Pintore, Marco Agus, Alberto Signoroni, Enrico Gobbetti

“…This lightweight architecture requires fewer tunable parameters and computational resources than competing methods. …”
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