Identifying the determining factors of detonation properties for linear nitroaliphatics with high-throughput computation and machine learning by Wen Qian, Jing Huang, Shi-tai Guo, Bo-wen Duan, Wei-yu Xie, Jian Liu, Chao-yang Zhang

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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Furthermore, crack localization experiments demonstrated that the proposed method, based on UAV orthophotos, achieved root mean square errors of 1.753 meters and 1.053 meters in the east and north directions, respectively, within the UTM coordinate system. …”
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Adding Data Quality to Federated Learning Performance Improvement by Ernesto Gurgel Valente Neto, Solon Alves Peixoto, Valderi Reis Quietinho Leithardt, Juan Francisco de Paz Santana, Julio C. S. Dos Anjos

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Weld-CNN: Advancing non-destructive testing with a hybrid deep learning model for weld defect detection by Ngo Thi Hoa, Tang Ha Minh Quan, Quoc Bao Diep

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Mango (Mangifera indica) tree detection and counting in mango orchard with satellite images using deep learning model YOLO: A comparative analysis by LALIT BIRLA, ANSHU BHARADWAJ, RAJNI JAIN, CHANDAN KUMAR DEB, VINAY KUMAR SEHGAL, RAMASUBRAMANIAN V

“…Tree counting is a crucial aspect of orchard inventory management, enabling efficient resource allocation, yield estimation, and precision agriculture applications. However, traditional methods often rely on manual efforts or expensive feature engineering, leading to errors, inefficiencies, and limited scalability. …”
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Contributions to increasing the accuracy and reducing the forming forces of robot-based two-point incremental forming by Scholz Peter, Weise Dieter, Pierer Alexander, Naumann Christian, Dix Martin, Terlau Marina, von Freyberg Axel, Fischer Andreas

“…Static experiments show that a measurement uncertainty below of 50 µm is achievable after the correction of systematic errors. Additional experiments demonstrated the applicability of the sensor network for measuring the tool position on a moving robot. …”
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Design of Ricker Wavelet Neural Networks for Heat and Mass Transport in Magnetohydrodynamic Williamson Nanofluid Boundary-Layer Porous Medium Flow with Multiple Slips by Zeeshan Ikram Butt, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Muhammad Shoaib, Rajesh Kumar, Syed Ibrar Hussain

“…The numerical outcomes gathered through the designed scheme are compared with reference results acquired through Adam’s numerical method in terms of graphs and tables of absolute errors. The rapid convergence, effectiveness, and stability of the suggested solver are analyzed using various statistical and performance operators.…”
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Impedance decoupling strategy to enhance the real-time powering performance of TENG for multi-mode sensing by Hao Sun, Yuxuan Xia, Jinyan Zhi, Jun Ma, Jinwan Chen, Zhekai Chu, Weihao Gao, Shuhai Liu, Yong Qin

“…Our results show that the strategy highly enhances the real-time powering performance of triboelectric nanogenerator for sensor networks, and achieves multi-mode sensing with relative errors as low as –4.6%, comparable to that powered by a commercial power source. …”
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Validation of an AMSR2 Thin-Ice Thickness Algorithm for Global Sea-Ice-Covered Oceans Using Satellite and In Situ Observations by Kazuki Nakata, Misako Kachi, Rigen Shimada, Eri Yoshizawa, Masato Ito, Kay I. Ohshima

“…The validation results show an ice-type misclassification rate of ~3% and mean absolute errors in ice thickness of 2.0 cm and 5.0 cm for active frazil and thin solid ice, respectively. …”
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A Robust InSAR-DEM Block Adjustment Method Based on Affine and Polynomial Models for Geometric Distortion by Zhonghua Hong, Ziyuan He, Haiyan Pan, Zhihao Tang, Ruyan Zhou, Yun Zhang, Yanling Han, Jiang Tao

“…The experimental results indicate that elevation errors across different study areas were reduced by approximately 50% to 5%, while the relative planar accuracy improved by around 93% to 17%. …”
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Mechanical properties of 3D-Printed aluminum, nickel, and titanium using a hybrid machine learning and computational mechanics approach by Sara Samine, Mohamed Karouchi, Maria Zemzami, Nabil Hmina, Soufiane Belhouideg

“…The results reveal outstanding predictive accuracy, with R2 values surpassing 0.999 across all properties and minimal mean squared errors. A close correlation between DFT-derived and AI-predicted values confirms the robustness of the approach. …”
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A Collaborative Multi-Agent Reinforcement Learning Approach for Non-Stationary Environments with Unknown Change Points by Suyu Wang, Quan Yue, Zhenlei Xu, Peihong Qiao, Zhentao Lyu, Feng Gao

“…The proposed MACPH algorithm offers an effective solution for multi-agent reinforcement learning applications in complex non-stationary environments.…”
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A Preemptive Scan Speed Control Strategy Based on Topographic Data for Optimized Atomic Force Microscopy Imaging by Thi Thu Nguyen, Oyoo Michael Juma, Luke Oduor Otieno, Thi Ngoc Nguyen, Yong Joong Lee

“…The calculated mean square errors (MSEs) show that the combination of speed adjustments and preemptive surface topography prediction has successfully allowed us to suppress the potential oscillations during the speed adjustment process, thereby enhancing the stability of the adaptive AFM system as well.…”
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A Monocular Camera as an Operation Logger for Motorized Mobility Scooters: Visual Odometry Method to Estimate Steering and Throttle Angles by Naoto Haraguchi, Yi Liu, Haruki Sugiyama, Kazunori Hase, Jun Suzurikawa

“…In many cases, older adults with physical impairments operate MMSs without special licenses, increasing the risk of accidents caused by operational errors. Although sensing systems have been developed to record MMS operations and evaluate driving skills, they face challenges in clinical applications because of the complexity of installing inertial measurement units (IMUs). …”
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Towards Malay named entity recognition: an open-source dataset and a multi-task framework by Yingwen Fu, Nankai Lin, Zhihe Yang, Shengyi Jiang

“…Specifically, boundary detection is treated as an auxiliary task and an enhanced Bidirectional Revision module with a gated ignoring mechanism is proposed to undertake conditional label transfer. This can reduce error propagation by the auxiliary task. We conduct extensive experiments on Malay, Indonesian, and English. …”
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Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Paper by Kiranmayee Janardhan, Vinay Martin D’Sa Prabhu, T. Christy Bobby

“…In glioma research, irregular tissues are often observable, but error-free and reproducible segmentation is challenging. …”
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Comparing the Ranking of Cobalt Coating Microstructures, Produced by Direct Current through Experimental Studies and the Analytic Hierarchy Process by H. Shirdastian, N. Towhidi, S.R. Allahkaram, M. Siadat Cheraghi

“…This anticipation leads to reduce in trial and error and the multiplicity of the tests in investigations.…”
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Optimized Adaptive Fuzzy Synergetic Controller for Suspended Cable-Driven Parallel Robots by Yasser Hatim Alwan, Ahmed A. Oglah, Muayad Sadik Croock

“…Simulation results show the proposed controller achieves minimal tracking error and improved robustness in the presence of dynamic uncertainties, validating its practical applicability in industrial scenarios. …”
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Automatic motion recognition technology based on fuzzy clustering algorithm and VR video image by Ganbin Xu, Jianwei Lin

“…Results demonstrated 96% accuracy for squat detection, 6.7% false positives for kneeling postures, and a 2%–8% error range for sitting poses—significantly higher than other categories due to postural variability. …”
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BHF and copula models in small area estimation for household per capita expenditure in Bogor District by NADIRA SRI BELINDA, KHAIRIL ANWAR NOTODIPUTRO, AGUS MOHAMAD SOLEH

“…The results showed that the performance of BHF was better than Gaussian and Clayton Copulas, as indicated by small root mean square error (RMSE) with an average of 1.14, while the average RMSE of Gaussian copula was 2.71 and Clayton copula was 2.63. …”
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