Comparison of Different 3D Surface Registration-Based Methods to Assess Facial Asymmetry by Annalisa Cappella, Riccardo Solazzo, Luisa Gigante, Alice Gervasoni, Daniele Maria Gibelli, Claudia Dolci, Gianluca Martino Tartaglia, Chiarella Sforza

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Efficient Swell Risk Prediction for Building Design Using a Domain-Guided Machine Learning Model by Hani S. Alharbi

“…Expansive clays damage the foundations, slabs, and utilities of low- and mid-rise buildings, threatening daily operations and incurring billions of dollars in costs globally. …”
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Using SDPC for Visual Exploratory Analysis of Semiconductor Production Line Sensor Data by Xinxiao Li, Xian-Hua Han, Yongqing Sun

“…By integrating user-defined filter conditions and focusing on defect-relevant dimensions, SDPC enhances interpretability and accelerates root cause identification. An evaluation with semiconductor production engineers demonstrated SPDC’s ability to facilitate real-time exploratory analysis, boost operational efficiency, reduce visual analysis time by two-thirds for on-site engineers, and ultimately lead to more effective production processes.…”
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Outdoor FSO Communications Under Fog: Attenuation Modeling and Performance Evaluation by Maged Abdullah Esmail, Habib Fathallah, Mohamed-Slim Alouini

“…Fog is considered to be a primary challenge for free space optics (FSO) systems. It may cause attenuation that is up to hundreds of decibels per kilometer. …”
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A probabilistic neural network-based bimanual control method with multimodal haptic perception fusion by Xinrui Chi, Zhanbin Guo, Fu Cheng

“…In the master-slave robot system, single-modal tactile perception has problems such as collision detection delay (>120 ms), force estimation error (>2.3 N), and sensor conflicts, resulting in a 37 % failure rate of robot operations in nuclear decommissioning scenarios and a 19.2 % risk of excessive tissue compression in laparoscopic surgery. …”
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Flax Harvesting Technologies for Flax Harvesting Machines by V. G. Chernikov, R. A. Rostovtsev, V. Yu. Romanenko

“…It is found that the quality of operation is determined by the deseeding quality, percentages; the flax straw stretching, times; the location of its apical and root parts, centimeters. …”
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Soil water content and longitudinal microbiota distribution in disturbed areas of tower foundations of power transmission and transformation projects by Che Kai, Yu Jinxing, Ju Yukun, Zhao Xuan, Gong Yunqian, Chen Chongming

“…During the construction process of the tower foundation for power transmission and transformation projects, mechanical operations such as rolling and excavation directly damage the root system of vegetation, making it difficult for plants to grow stably and hindering their absorption of water and nutrients from the soil, thereby affecting their normal physiological activities and leading to poor or even degraded vegetation growth. …”
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Innovative Technologies and Technical Means for Industrial Nursery Farming by A. A. Zavrazhnov, A. Yu. Izmaylov, A. I. Zavrazhnov, Ya. P. Lobachevskiy, V. Yu. Lantsev

“…In this respect, VIM and Michurinsk State Agrarian University have developed a system of high-clearance machines, taking into account the nursery area, thus providing for effi cient production. …”
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Damage Detection in Machining Tools Using Acoustic Emission, Signal Processing, and Feature Extraction by Lucas Pires Bernardes, Pedro Oliveira Conceição Júnior, Fabio Romano Lofrano Dotto, Alessandro Roger Rodrigues, Marcio Marques Silva

“…The results from implementing this study show promise for optimizing the process through an alternative TCM system in manufacturing operations, avoiding the drawbacks of the direct method, and extending the equipment’s lifespan and efficiency. …”
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NSGT: A Plasma Position Prediction Method for the HL-2A Tokamak Device Based on Transformer by Ling Zhou, Bin Yang, Xiangcheng Lin, Kaihao Zhu, Ziran Lan, Xiangwen Li

“…The experimental results show that the NSGT model has a significant reduction in the root - mean - square error of prediction compared with the LSTM method, effectively supporting the real - time adjustment of the closed - loop control system. …”
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The Direct Assimilation of Radar Reflectivity Data with a Two-Moment Microphysics Scheme for a Landfalling Typhoon in an OSSE Framework by Ziyue Wang, Jingyao Luo, Hong Li, Yijie Zhu, Rui He

“…Despite the well-known importance of radar data assimilation, there are limited studies on landfalling typhoons in terms of directly assimilating radar reflectivity data, especially using a reflectivity operator based on double-moment microphysics. In this study, radar reflectivity data assimilation experiments are conducted with an ensemble Kalman filter (EnKF), using simulated observations in an Observing System Simulation Experiment (OSSE) framework for the landfalling typhoon In-Fa. …”
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Lightweight Mutually Authenticated Key Exchange with Physical Unclonable Functions by Cyrus Minwalla, Jim Plusquellic, Eirini Eleni Tsiropoulou

“…As a unique hardware-based random oracle, physical unclonable functions (PUFs) can embed cryptographic hardness and binding properties needed for a secure, interactive authentication system. In this paper, we propose a lightweight protocol, termed PUF-MAKE, to achieve bilateral mutual authentication between two untrusted parties with the help of a trusted server and secure physical devices. …”
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Mu opioid receptors on primary afferent nav1.8 neurons contribute to opiate-induced analgesia: insight from conditional knockout mice. by Raphaël Weibel, David Reiss, Laurie Karchewski, Olivier Gardon, Audrey Matifas, Dominique Filliol, Jérôme A J Becker, John N Wood, Brigitte L Kieffer, Claire Gaveriaux-Ruff

“…Opiates are powerful drugs to treat severe pain, and act via mu opioid receptors distributed throughout the nervous system. Their clinical use is hampered by centrally-mediated adverse effects, including nausea or respiratory depression. …”
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From sensors to insights: Technological trends in image-based high-throughput plant phenotyping by Rui-Feng Wang, Hao-Ran Qu, Wen-Hao Su

“…We then examine the progress of deep learning-based models in core phenotyping tasks such as stress and disease detection, growth monitoring, organ counting, root system analysis, and postharvest quality assessment. …”
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Prediction of Sea Surface Current Around the Korean Peninsula Using Artificial Neural Networks by Jeong‐Yeob Chae, Hyunkeun Jin, Inseong Chang, Young Ho Kim, Young‐Gyu Park, Young Taeg Kim, Boonsoon Kang, Min‐su Kim, Ho‐Jeong Ju, Jae‐Hun Park

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Method of support posture perception in mining face based on visual-inertial information fusion by XING Keke, CHENG Jingyi, XU Zhongxin, WAN Zhijun, XUE Minti, YAN Wanzi, BAO Kuo, YI Junjie

“…The findings showed that: ① In the initial stationary state, all three methods had high accuracy, but as the support operation cycles increased, the vision-based and inertial navigation-based results gradually deviated from the true values. ② The root mean square errors (RMSE) of pitch angle perception for the top beam relative to the base were 0.201°, 0.190°, and 0.081° for the vision-based, inertial navigation-based, and visual-inertial information fusion methods, respectively. …”
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Self SOC Estimation for Second-Life Lithium-Ion Batteries by Joelton Deonei Gotz, Emilson Ribeiro Viana, Jose Rodolfo Galvao, Fernanda Cristina Correa, Milton Borsato, Alceu Andre Badin

“…Still, the SLB can be an excellent solution to maintaining LIBs in operation for slow vehicles or stationary systems. …”
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Advancing smart communities with a deep learning framework for sustainable resource management. by Yongyan Zhao

“…The framework leverages long short-term memory (LSTM) networks for temporal data, convolutional neural networks (CNNs) for spatial analysis, and autoencoders for anomaly detection. The system focuses on two main objectives, which include better forecasting precision, optimum resource distribution, and efficient detection of operational problems.…”
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Estimation of Vibration-Induced Fatigue Damage in a Tracked Vehicle Suspension Arm at Critical Locations Under Real-Time Random Excitations by Ayaz Mahmood Khan, Muhammad Shahid Khalil, Muhammad Muzammil Azad

“…Assessing random vibration in track vehicles requires a comprehensive approach that considers both the root causes and potential consequences of the vibrations. …”
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Assessment of Indoor Thermo-Hygrometric Conditions and Energy Demands Associated to Filters and Dampers Faults via Experimental Tests of a Typical Air-Handling Unit During Summer a... by Antonio Rosato, Mohammad El Youssef, Rita Mercuri, Armin Hooman, Marco Savino Piscitelli, Alfonso Capozzoli

“…The results of this study can be exploited by researchers, facility managers, and building operators to better recognize root causes of faulty evidences in AHUs and also to develop and test new FDD tools.…”
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