L0-regularized high-dimensional sparse multiplicative models by Hao Ming, Hu Yang, Xiaochao Xia

“…In this paper, we study high-dimensional sparse multiplicative models for positive response data and propose a variable sorted active set (VSAS) algorithm for finding the [Formula: see text] regularized least product relative error (LPRE) estimator. …”
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Integration of YOLOv8 Small and MobileNet V3 Large for Efficient Bird Detection and Classification on Mobile Devices by Axel Frederick Félix-Jiménez, Vania Stephany Sánchez-Lee, Héctor Alejandro Acuña-Cid, Isaul Ibarra-Belmonte, Efraín Arredondo-Morales, Eduardo Ahumada-Tello

“…The evaluation metrics included precision, recall, and computational efficiency. Results: The findings demonstrate that both models achieve high accuracy in species identification. …”
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Bottom Plate Damage Localization Method for Storage Tanks Based on Bottom Plate-Wall Plate Synergy by Yunxiu Ma, Linzhi Hu, Yuxuan Dong, Lei Chen, Gang Liu

“…The maximum relative localization error was measured as 5.4%, indicating superior detection accuracy.…”
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Development of a collision avoidance system for agricultural airboat based on laser sensor by LIU Yufei, HE Yong, NOGUCHI Noboru

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Enhancing Multi-Flight Unmanned-Aerial-Vehicle-Based Detection of Wheat Canopy Chlorophyll Content Using Relative Radiometric Correction by Jiale Jiang, Qianyi Zhang, Shuai Gao

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Detection of Remaining Feed in the Feed Troughs of Flat-Fed Meat Ducks Based on the RGB-D Sensor and YOLO V8 by Xueliang Tan, Junjie Yuan, Shijia Ying, Jizhang Wang

“…Analyses of the correction coefficients and corresponding RMSE values indicated a positive correlation between the correction coefficient and the curvature of the feeding trough, while no correlation was observed with the trough diameter or granule particle size, maintaining a low RMSE value. The findings of this research demonstrate the effectiveness of the proposed method for detecting the remaining feed in troughs. …”
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Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection. by Ekramul Haque Tusher, Mohd Arfian Ismail, Abdullah Akib, Lubna A Gabralla, Ashraf Osman Ibrahim, Hafizan Mat Som, Muhammad Akmal Remli

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Rapid Lactic Acid Content Detection in Secondary Fermentation of Maize Silage Using Colorimetric Sensor Array Combined with Hyperspectral Imaging by Xiaoyu Xue, Haiqing Tian, Kai Zhao, Yang Yu, Ziqing Xiao, Chunxiang Zhuo, Jianying Sun

“…Lactic acid content is a crucial indicator for evaluating maize silage quality, and its accurate detection is essential for ensuring product quality. …”
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GNSS time series analysis of the crustal movement network of China: Detecting the optimal order of the polynomial term and its effect on the deterministic model by Shuguang Wu, Hua Ouyang, Houpu Li, Zhao Li, Haiyang Li, Yuefan He

“…The latter contains some stochastic noises, which can be affected by detecting the former parameters. If there are not enough parameters assumed, modeling errors will occur and adversely affect the analysis results. …”
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A Method for Real-Time Vessel Speed Measurement Based on M-YOLOv11 and Visual Tracking by Zhe Ma, Qinyou Hu, Yuezhao Wu, Wei Wang

“…To address this challenge, this paper proposes a vessel speed detection method based on target detection and tracking to acquire vessel speed in real time. …”
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Mitigating Container Damage and Enhancing Operational Efficiency in Global Containerisation by Sergej Jakovlev, Tomas Eglynas, Mindaugas Jusis, Valdas Jankunas, Miroslav Voznak

“…To address these concerns, we present the Impact Detection Methodology (IDM), a system designed to monitor and detect impacts in real time, enhancing operational precision and safety. …”
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A study on the status of myopia and pre-myopia among primary school students in different regions of Shaanxi Province, China by Dong Wei, Dong Wei, Li Yangbing, Liu Chengfei, Liu Chengfei, Zhang Ye, Zhang Ye, Wang Zihao, Wang Zihao, Li Yanying, Li Yanying, He Xiaokang, He Xiaokang, Fu Kunlin, Du Zhaojiang

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Intelligent library shelf management system for open-access environments: A CNN-based approach with enhanced image recognition and disorder detection by Xueqi Zhang

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No change in electrocortical measures of performance monitoring in high trait anxious individuals following multi-session attention bias modification training by Joshua M. Carlson, Lin Fang, Jeremy A. Andrzejewski

“…Previous studies have shown that ABM can change the activity in brain regions that are involved in cognitive control and threat detection, such as anterior cingulate cortex, which also plays a critical role in error monitoring and is the main source of the error-related negativity (ERN). …”
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SegPhase: development of arrival time picking models for Japan’s seismic network using the hierarchical vision transformer by Shinya Katoh, Yoshihisa Iio, Hiromichi Nagao, Hiroshi Katao, Masayo Sawada, Kazuhide Tomisaka

“…By lowering the threshold to 0.1, we observed an increase in the number of detected events without noticeable changes in the hypocenter location error and observed–calculated discrepancies. …”
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Wheel flat detection using long short-term memory and transformer models with a 1:10 scale railway test rig by Yong Cui, Euiyoul Kim, Shizhe Yan, Qing Yu

“…The findings indicate that the Transformer model significantly outperforms the Long Short-Term Memory model, especially when feature-level sensor fusion is employed, achieving an average error as low as 0.0069 mm with percentage of error at 5.30%, minimizing the maximum error to 0.0985 mm. …”
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An Integrated UAV and Deep Learning Framework With HSB-Based Segmentation for Automated Slope Anomaly Detection in Mountainous Soil and Water Conservation Sites by Nai-Hsin Pan, Bo-Yuan Chang

“…These findings contribute practical insights and innovative methodologies to the field of soil and water conservation management.…”
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An Application of Deep Learning Models for the Detection of Cocoa Pods at Different Ripening Stages: An Approach with Faster R-CNN and Mask R-CNN by Juan Felipe Restrepo-Arias, María José Montoya-Castaño, María Fernanda Moreno-De La Espriella, John W. Branch-Bedoya

“…Furthermore, a qualitative evaluation using confidence heatmaps and error analysis revealed that R-CNN architectures occasionally missed small or partially occluded pods. …”
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From Simulation to Field Validation: A Digital Twin-Driven Sim2real Transfer Approach for Strawberry Fruit Detection and Sizing by Omeed Mirbod, Daeun Choi, John K. Schueller

“…Two separate trials with field images resulted in F1-scores of 0.92 and 0.81 for detection and a sizing error of 1.4 mm (R² = 0.92) when comparing image-derived diameters against caliper measurements. …”
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Detection Accuracy of High-Resolution Infrared Satellite Precipitation Estimates Over Mainland China: A Multiperspective Assessment of Fengyun-4A by Da Qian, Yi Lyu, Zhehui Shen, Hao Wu, Ruochen Huang, Bin Yong, Hongjun Su

“…Despite integrated into operational systems such as hydrologic forecasting, their error characteristics and correction potentials remain unexplored. …”
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