Synergistic Multi-Model Approach for GPR Data Interpretation: Forward Modeling and Robust Object Detection by Hang Zhang, Zhijie Ma, Xinyu Fan, Feifei Hou

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Improving Transferability of Physical Adversarial Attacks on Object Detectors Through Multi-Model Optimization by Adonisz Dimitriu, Tamás Vilmos Michaletzky, Viktor Remeli

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A multi-model approach for distance and angle estimation using a custom-designed tag by Emre Erkan

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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

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Fusion of Multi-Task Neurophysiological Data to Enhance the Detection of Attention- Deficit/Hyperactivity Disorder by Kai-Feng Zhang, Shih-Ching Yeh, Eric Hsiao-Kuang Wu, Xiu Xu, Ho-Jung Tsai, Chun-Chuan Chen

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Detecting Mugil curema (Perciformes: Mugilidae) phenotypic stocks in La Paz Bay, Baja California Sur, Mexico, using geometric morphometrics of otolith shape, growth, and reproducti... by Luis Salgado-Cruz, Casimiro Quiñonez-Velázquez, Federico A. García-Domínguez, Carlos I. Pérez-Quiñonez

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Adaptive Multi-Model Fault Diagnosis of Dynamic Systems for Motion Tracking by Annalena Daniels, Tommaso Benciolini, Dirk Wollherr, Marion Leibold

“…For most real-world systems, the exact description of possible faults is unknown, making these faults difficult to detect, and even more difficult to identify. The most promising way is to use multiple hypotheses for faults to find the best fitting fault model by comparing system measurements with the predictions of the multi-model algorithm. …”
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Parameter efficient multi-model vision assistant for polymer solvation behaviour inference by Zheng Jie Liew, Ziad Elkhaiary, Alexei A. Lapkin

“…This dataset informed the development of a multi-model vision assistant, integrating computer vision and vision-language approaches to autonomously detect, infer, and contextualise polymer–solvent interactions. …”
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Efficient tree mapping through deep distance transform (DDT) learning by Jan Schindler, Ziyi Sun, Bing Xue, Mengjie Zhang

“…The increase in available remote sensing data and advances in automated object detection makes it feasible to map trees over large areas in unprecedented detail. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…Automatic picking equipment combined with computer vision often uses object detection algorithms to identify objects, and object detection algorithms can be divided into both traditional algorithms and deep learning-based object detection algorithms. …”
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Roadside Perception System Based on LiDAR and Millimeter-wave Radar Fusion in Mining Area by JIANG Liangyu

“…The algorithm was tested in Shenyan Xiwan mining area and the result demonstrated that the motion feature of objects at intersection was detected effectively.…”
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Focus on Disaster Risk Reduction by ResNet-CDMV Model After Natural Disasters by Zhaojia Tang, Yu Han

“…For this algorithm, Faster-RCNN, SSD, CornerNet, and CenterNet, the mAP value of the YOLOv7 object detection algorithm is increased by 9.333%, 11.833%, 13%, 11%, and 8.167%, respectively. …”
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Standardization of case definition and development of early-warning model for acute respiratory infection syndromes based on Yinzhou Regional Health Information Platform by Tianfei Yi, Junfeng Zhang, Peng Shen, Yexiang Sun

“…Anomaly detection methods, including historical limits method (HLM), moving percentile method (MPM), cumulative sum control chart (CUSUM), and exponentially weighted moving average (EWMA), were employed to develop a graded early-warning model. …”
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