Whole-Body 3D Pose Estimation Based on Body Mass Distribution and Center of Gravity Constraints by Fan Wei, Guanghua Xu, Qingqiang Wu, Penglin Qin, Leijun Pan, Yihua Zhao

“…Estimating the 3D pose of a human body from monocular images is crucial for computer vision applications, but the technique remains challenging due to depth ambiguity and self-occlusion. …”
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Development of Mobile Robot-Based Precision 3D Position Measurement System by Pilgong Choi, Jeng-O Kim, Myeongjun Kim, Kyunghan Kim

“…An algorithm employing Density-Based Spatial Clustering of Applications with Noise (DBSCAN), KD-Tree, and Random Sample Consensus (RANSAC) techniques was used to detect and classify the vertex of the target block from the 3D point cloud data. …”
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A Machine Vision Perspective on Droplet‐Based Microfluidics by Ji‐Xiang Wang, Hongmei Wang, Huang Lai, Frank X. Liu, Binbin Cui, Wei Yu, Yufeng Mao, Mo Yang, Shuhuai Yao

“…Abstract Microfluidic droplets, with their unique properties and broad applications, are essential in in chemical, biological, and materials synthesis research. …”
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Improving Localization in Wireless Sensor Networks for the Internet of Things Using Data Replication-Based Deep Neural Networks by Jehan Esheh, Sofiene Affes

“…Localization is one of the most challenging problems in wireless sensor networks (WSNs), primarily driven by the need to develop an accurate and cost-effective localization system for Internet of Things (IoT) applications. While machine learning (ML) algorithms have been widely applied in various WSN-based tasks, their effectiveness is often compromised by limited training data, leading to issues such as overfitting and reduced accuracy, especially when the number of sensor nodes is low. …”
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Thermo-Mechanical Behavior Simulation and Experimental Validation of Segmented Tire Molds Based on Multi-Physics Coupling by Wenkang Xiao, Fang Cao, Jianghai Lin, Hao Wang, Chongyi Liu

“…Molding forces play a secondary role in total stress. The error between multi-field coupling simulation results and experimental results is controlled within 6%, verifying the model’s reliability. …”
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Physics-informed and data-driven thermal modeling and temperature field prediction for thermal field-assisted direct ink writing with PDMS by Xinhua Yao, Yuhan Jiang, Lixin Tian, Xiang Li, Yong He

“…The results showed that the average relative error between simulation and experiments was below 3 %. …”
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Quality prediction of air-cured cigar tobacco leaf using region-based neural networks combined with visible and near-infrared hyperspectral imaging by Jianxun Yin, Jun Wang, Jian Jiang, Jian Xu, Liang Zhao, Anfu Hu, Qian Xia, Zhihan Zhang, Ming Cai

“…Abstract Visible and Near-infrared hyperspectral imaging (VNIR-HSI) combined with machine learning has shown its effectiveness in various detection applications. Specifically, the quality of cigar tobacco leaves undergoes subtle changes due to environmental differences during the air-curing phase. …”
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FirnLearn: A neural network-based approach to firn density modeling in Antarctica by Ayobami Ogunmolasuyi, Colin R. Meyer, Ian McDowell, Megan Thompson-Munson, Ian Baker

“…Our model, FirnLearn, evaluated on 225 cores, shows an average root-mean-square error of 31 kg m−3 and explained variance of 91%. …”
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Laser Phase Noise Compensation Method Based on Dual Reference Channels in Inverse Synthetic Aperture Lidar by Dengfeng Liu, Chen Xu, Yutang Li, Anpeng Song, Jian Li, Kai Jin, Xi Luo, Kai Wei

“…Laser phase noise is a critical factor that limits the range and performance of coherent lidar systems, especially in high-resolution applications such as inverse synthetic aperture lidar (ISAL), which demands stringent coherence. …”
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Advanced Control Strategy for Induction Motors Using Dual SVM-PWM Inverters and MVT-Based Observer by Omar Allag, Abdellah Kouzou, Meriem Allag, Ahmed Hafaifa, Jose Rodriguez, Mohamed Abdelrahem

“…This strategy improves the operational dynamics of OEW-TP-IM machine and offers potential for broad industrial applications requiring precise and reliable motor control.…”
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Determination of cervical vertebral maturation using machine learning in lateral cephalograms by Shahab Kavousinejad, Asghar Ebadifar, Azita Tehranchi, Farzan Zakermashhadi, Kazem Dalaie

“…A ratio-based approach was employed to compute the values of C3 and C4, accompanied by the implementation of an auto_error_reduction (AER) function to enhance the accuracy of landmark selection. …”
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A Lightweight Terrain‐Constraint Model for Wind Spatial Downscaling by Anboyu Guo, Qiyang Liu, Jiuke Wang, Yuanyong Gao, Lixin Wei, Xiaojiang Song, Chi Zhang, Kai Liu, Shuping Ma, Jiu Jiang

“…Furthermore, due to the lightweight model structure and a specific fine‐tuning strategy, TCWDM can deliver significantly better downscaling results at a lower cost across different regions, offering potential for broader applications.…”
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An Interpretable Dynamic Feature Search Methodology for Accelerating Computational Process of Control Rod Descent in Nuclear Reactors by Qingyu Huang, Cong Xiao, Wei Zeng, Le Xu, Jia Liu, Zhixin Pang, Yuanfeng Lin, Mengwei Zhao, Xiaobo Liu

“…Notably, this algorithm showcases exceptional versatility, holding immense promise for broad applicability across various operational scenarios encountered during the intricate process of nuclear reactor design.…”
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Particle Filter Tracking System Based on Digital Zoom and Regional Image Measure by Qisen Zhao, Liquan Dong, Xuhong Chu, Ming Liu, Lingqin Kong, Yuejin Zhao

“…The IMR-PF still maintains good performance even when confronted with various interference factors and in real-world scenario applications.…”
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A Multihierarchy Flow Field Prediction Network for Multimodal Remote Sensing Image Registration by Wenqing Wang, Kunpeng Mu, Han Liu

“…At the same time, the photometric error loss is introduced to optimize the entire network from both the feature and original image levels. …”
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LET-SE2-VINS: A Hybrid Optical Flow Framework for Robust Visual–Inertial SLAM by Wei Zhao, Hongyang Sun, Songsong Ma, Haitao Wang

“…In no-loop scenarios, the method also achieves error reductions of 29.7%, 21.8%, and 24.1% on the MH_04, MH_05, and V2_03 sequences, respectively. …”
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Ionospheric Time Series Prediction Method Based on Spatio-Temporal Graph Neural Network by Yifei Chen, Yang Liu, Kunlin Yang, Lanhao Li, Chao Xiong, Jinling Wang

“…Predicting global ionospheric total electron content (TEC) is critical for high-precision GNSS applications, but some existing models fail to jointly capture spatial heterogeneity and multiscale temporal trends. …”
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Temperature Correction for FWD Deflection in Cement Pavement Void Detection by Bei Zhang, Xiaoliang Wang, Yanhui Zhong, Xiaolong Li, Meimei Hao, Yuanhao Ding, Jianyang Liu, Xu Zhang

“…The results showed that, within the ranges of positive and negative temperature differences, the fitting degree of the temperature correction coefficient for the cement pavement exceeded 0.99, which was consistent with the variation trend of the temperature correction coefficient obtained through field tests. The error was lower than 7%, which verified the applicability of the temperature correction coefficient for the dynamic deflection of cement pavements based on FWD. …”
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Being confident in confidence scores: calibration in deep learning models for camera trap image sequences by Gaspard Dussert, Simon Chamaillé‐Jammes, Stéphane Dray, Vincent Miele

“…Although this automation facilitates and accelerates the identification step, the results of these models may lack interpretability and their immediate applicability to ecological downstream tasks (e.g. occupancy estimation) remains questionable. …”
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A 50-m/320-Gb/s DWDM FSO Communication With Afocal Scheme by Wen-Shing Tsai, Hai-Han Lu, Chung-Yi Li, Ting-Chieh Lu, Hung-Hsien Lin, Bo-Rui Chen, Chang-Jen Wu

“…With the aid of a low-noise amplifier and clock/data recovery at the receiving site, good bit-error-rate (BER) performance and clear eye diagram are obtained at a 50-m/320-Gb/s operation. …”
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