Optimization Method for Combination of Residual Current Protection and Coincidence Brake Logic in a Low-Voltage Distribution System by XU Han, ZHU Sanli, ZHANG Tengfei, CHEN Shu, LIU Mingxiang

“…Low-voltage distribution systems frequently experience leakage current accidents. …”
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Placement Strategies for Water Quality Sensors Using Complex Network Theory for Continuous and Intermittent Water Distribution Systems by Amrita Namtirtha, K. R. Sheetal Kumar, Sejal Jain, Yogesh Simmhan, M. S. Mohan Kumar

“…Abstract Water quality sensors are used to detect contamination in water distribution systems (WDSs) to help supply safe and quality drinking water to society. …”
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Body size‐dependent effects on the distribution patterns of phoretic mite species assemblages on Rhynchophorus ferrugineus (Olivier, 1790) by Inês Matos, Diogo Silva, João Oliveira, Claúdia Gonçalves, Rita Alves, Nuno Pereira, Francisco Catarino, Olga M. C. C. Ameixa, José Américo Sousa, Luis Filipe Rangel, Maria João Santos, Camilo Ayra‐Pardo

“…In the subelytral space, interspecific coexistence of mites increased as a function of body size difference with the dominant Centrouropoda sp. …”
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Characterization of the diversity, genomic features, host bacteria, and distribution of crAss-like phages in the pig gut microbiome by Yaxiang Wang, Chao Wei, Zhe Chen, Mengqing Zhou, Lusheng Huang, Congying Chen

“…Approximately 64.73% of crAss-like phage genes lacked functional annotations, highlighting a gap in understanding their functional potential. …”
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Distribution of β-casein variants and effects on milk composition in Podolian cows reared in Gargano Promontory (Southern Italy) by Antonella Santillo, Francesca d'Angelo, Cristina Lamberti, Maria Gabriella Giuffrida, Francesco Romaniello, Marzia Albenzio

“…Protein fractions were influenced by β-CN alleles, and the most abundant protein fractions were β- and αs1-CN in both breeds, although with different percentage distribution. In Podolian milk, regardless of the detected allele, a similar behavior was observed for β- and κ-CN, and opposite to that observed for αs2-CN. …”
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Fusion of multi-scale attention for aerial images small-target detection model based on PARE-YOLO by Huiying Zhang, Pan Xiao, Feifan Yao, Qinghua Zhang, Yifei Gong

“…Moreover, the EMA-GIoU loss function is proposed to mitigate class imbalance and enhance robustness, particularly in scenarios characterized by skewed class distributions. …”
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Infrared Image Classification and Detection Algorithm for Power Equipment Based on Improved YOLOv10 by Xiu Ji, Zheyu Yue, Hongliu Yang, Zehong Zhang

“…To better handle the imbalance in sample distribution, the original Binary Cross-Entropy (BCE) loss function is modified to incorporate Focal Loss, aiming to enhance model performance by focusing more on hard-to-classify examples. …”
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A Cost-Sensitive Small Vessel Detection Method for Maritime Remote Sensing Imagery by Zhuhua Hu, Wei Wu, Ziqi Yang, Yaochi Zhao, Lewei Xu, Lingkai Kong, Yunpei Chen, Lihang Chen, Gaosheng Liu

“…Ablation studies reveal that detection performance is optimal when the weight assigned to the NWD metric in the model’s loss function matches the overall proportion of small objects in the dataset. …”
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Research on anomaly detection model for traffic time series data integrating multiple mechanisms by Peipei ZHANG, Jiaqi LIU

“…Finally, a multivariate Gaussian distribution probability function was used to discriminate anomalies. …”
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A Multi-Feature Fusion Approach for Sea Fog Detection Under Complex Background by Shuyuan Yang, Yuzhu Tang, Zeming Zhou, Xiaofeng Zhao, Pinglv Yang, Yangfan Hu, Ran Bo

“…Based on the spatial distribution characteristics of sea fog and clouds, we redesigned the loss function to integrate total variation loss, focal loss, and dice loss. …”
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Research on a UAV-View Object-Detection Method Based on YOLOv7-Tiny by Yuyang Miao, Xihan Wang, Ning Zhang, Kai Wang, Lianhe Shao, Quanli Gao

“…To address the issues of missed and false detections caused by small object sizes, dense object distribution, and complex scenes in drone aerial images, this study proposes a drone-view object-detection algorithm based on YOLOv7-tiny with a Partial_C_Detect detection head. …”
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Efficient estimation of stereo thresholds: What slope should be assumed for the psychometric function? by Ignacio Serrano-Pedraza, Kathleen Vancleef, William Herbert, Nicola Goodship, Maeve Woodhouse, Jenny C A Read

“…We performed 2- and 4AFC disparity detection stereo experiments in order to measure the spread of the disparity psychometric function in human observers assuming a Logistic function. …”
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Research on the Non-Uniform Temperature Field Distribution of Q355B Steel for Grain Storage under Fire Conditions by Min Yu, Zhen Cheng, Rui-Bin Gou, Nian Wang

“…The Tmax-d curve of each test plate followed the Boltzmann function distribution, the Q-∆T followed a linear relationship, and the Q-d0 followed an exponential function relationship. …”
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Defect detection in photolithographic patterns using deep learning models trained on synthetic data by Prashant P. Shinde, Priyadarshini P. Pai, Shashishekar P. Adiga, K. Subramanya Mayya, Yongbeom Seo, Myungsoo Hwang, Heeyoung Go, Changmin Park

“…We then employ state-of-the-art object detection models to investigate defect detection performance as a function of defect size, much smaller than the pitch width. …”
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Cotton Leaf Disease Detection Using LLM-Synthetic Data and DEMM-YOLO Model by Lijun Gao, Tiantian Ran, Hua Zou, Huanhuan Wu

“…Cotton leaf disease detection is essential for accurate identification and timely management of diseases. …”
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SSB Pruned DFT-Spread FBMC Signal With Low PAPR in Direct-Detection PONs by Xiaoling Zhang, Chongfu Zhang, Mingyue Zhu, Wei Jin, Chen Chen, Xiang Gao, Kun Qiu

“…It is demonstrated that the PAPR of the SSB pruned DFT-spread FBMC signal with the overlapping factor of 1.56 outperforms the conventional FBMC signal and the simple DFT-spread FBMC signal by ∼2 dB and 1 dB at the complementary cumulative distribution function (CCDF) of 1 × 10^−3, respectively. …”
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Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information by Wenqing Zhou, Chaoqiang Chen, Qin Yan, Bin Li, Kang Liu, Yingjun Zheng, Hongming Yang, Hui Xiao, Sheng Su

“…Specifically, the correlation between water and electricity usage of residential customers is analyzed based on real metering data and the use of the Copula distribution function, followed by the integration of two innovative data mining techniques to form an anomaly detection framework. …”
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Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

“…This stage features a dropout layer for regularization, a dense layer with 512 units for further pattern learning, and a final dense layer with 8 units and a soft max activation function, producing a probability distribution across different disease classes. …”
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Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study by Klaudia Lenart

“…Methodology: A simulation study was conducted, during which the data was generated using copula functions. For the purpose of generating different types of anomalies, marginal distributions of the variables were manipulated. …”
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Learning physics and temporal dependencies: real-time modeling of water distribution systems via Kolmogorov–Arnold attention networks by Zekun Zou, Zhihong Long, Gang Xu, Raziyeh Farmani, Tingchao Yu, Shipeng Chu

“…Abstract Real-time modeling is vital for the intelligent management of urban water distribution systems (WDSs), enabling proactive decision-making, rapid anomaly detection, and efficient operational control. …”
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