Multi-step finite element simulation for clear aligner space closure: a proof-of-concept compensation protocol by Kiyean Kim, Youn-Kyung Choi, Sung-Hun Kim, Seong-Sik Kim, Yong-Il Kim

“…Abstract Clear aligners have transformed orthodontic treatment; however, they exhibit limited effectiveness in closing extraction spaces due to cumulative movement errors and excessive tipping. This proof-of-concept study introduces an innovative multi-step finite element method (FEM) for simulating sequential clear aligner applications in extraction space closure. …”
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Identification of Leakage Points and Evaluation of Leakage Parameters Based on Photoelectric Absorption Cross-Section Index by SUN Yuhong, ZHANG Zhihu, XU Jingkang, TAN Weixiong, ZHANG Hao, ZHANG Lei

“…A multi mineral model analysis method is proposed to calculate the relative volume content of barite in the formation, and the leakage amount is calculated by combining the relative volume content of barite with the actual content in the mud. Field applications in several major oil fields in the Bohai area have shown that the calculated leakage rate and amount using the photoelectric absorption cross-section index have relatively small errors compared to the actual data provided on site. …”
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A Minimal Solution for Binocular Camera Relative Pose Estimation Based on the Gravity Prior by Dezhong Chen, Kang Yan, Hongping Zhang, Zhenbao Yu

“…The results on real data reveal that our method exhibits smaller errors in calculating the relative pose of the camera system compared with two classic reference algorithms. …”
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Deep Learning for Video Fluoroscopic Swallowing Study Analysis: A Survey on Classification, Detection, and Segmentation Techniques by Ahmed Fakhry, Sarah Mary Antony, Eunhee Park, Jong Taek Lee

“…This review explores recent applications of deep learning across key VFSS analysis tasks, including classification, detection, and segmentation. …”
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Improving the Interpretability of ANN-Based Predictions of Lattice Constants in Aliovalently Doped Perovskites Using Partial Dependence Plots by Abdullah Alharthi, Abdulgafor Alfares, Yusuf Abubakar Sha’aban, Dahood Ademuyiwa Adegbite

“…Accurate prediction of key structural parameters is essential for tailoring these materials for advanced applications. In this study, we developed an Artificial Neural Network (ANN) model to predict lattice constants with high accuracy, achieving near-perfect R² values and minimal prediction errors across training and testing datasets. …”
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Industrial IoT-Based Energy Monitoring System: Using Data Processing at Edge by Akseer Ali Mirani, Anshul Awasthi, Niall O’Mahony, Joseph Walsh

“…Based on the evaluation, the edge server efficiently processes the data with an average CPU utilization of up to 5.58% while avoiding measurement errors due to random power failures throughout the day.…”
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A Servo Control Algorithm Based on an Explicit Model Predictive Control and Extended State Observer with a Differential Compensator by Zhuobo Dong, Shuai Chen, Zheng Sun, Benyi Tang, Wenjun Wang

“…The algorithm’s low online computational demand makes it highly suitable for industrial applications.…”
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KNEE OSTEOARTHRITIS STAGE CLASSIFICATION BASED ON HYBRID FUSION DEEP LEARNING FRAMEWORK by Delveen Luqman Abd Alnabi, Shereen Sh Ahmed, Nisreen Luqman Abd Alnabi

“… Knee osteoarthritis severity detection is one of the most challenging applications in computer vision due to the similarity between X-ray images of the adjacent stages. …”
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Adaptive Impact-Time-Control Cooperative Guidance Law for UAVs Under Time-Varying Velocity Based on Reinforcement Learning by Zhenyu Liu, Gang Lei, Yong Xian, Leliang Ren, Shaopeng Li, Daqiao Zhang

“…Then, in order to improve the applicability and robustness of the agent, environmental uncertainties, including aerodynamic parameter errors, observation noise, and target random maneuvers, are incorporated into the training process. …”
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Product Engagement Detection Using Multi-Camera 3D Skeleton Reconstruction and Gaze Estimation by Matus Tanonwong, Yu Zhu, Naoya Chiba, Koichi Hashimoto

“…Despite yielding slightly higher mean angular errors in gaze estimation compared to a recent image-based method, the Transformer-based model achieves comparable performance in gaze-object detection. …”
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Enhancing Geodetic Control Points through GNSS and CORS Integration: A Case Study of Ibadan, Nigeria by Oyeyode Ajiboye Oyesiji, T.O. IDOWU, D.N. OLAYINKA-DOSUMU, I.U. NZELIBE

“…Data processing, encompassing least squares adjustments and data quality assessments, achieved residuals within ±2 mm and root mean square errors (RMSE) under ±20 mm for all axes, aligning with second-order geodetic standards. …”
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A Novel Framework for Automated Grid Generation and CFD Simulation of Complex Geometries by Chunguang XU, Xin OUYANG, Jie CHEN, Jun LIU

“…This framework has practical value in engineering applications.…”
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Anomaly detection research using Isolation Forest in Machine Learning by A. S. Kechedzhiev, O. L. Tsvetkova

“…The study is devoted to assessing the applicability of the Isolation Forest method in the task of detecting anomalies in network traffic data characterized by insufficient markup. …”
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Calculation Model of the Axial Dispersion Distribution of Cylindrical-Warhead Fragments by Ning Jiang, Wen Bin Li, Wen Jin Yao, Da Cheng Gao

“…The proposed model meets the error requirements of engineering applications. This work provides a theoretical foundation for subsequent research on damage effectiveness and IED damage assessment.…”
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Long Short-Term Memory Approach to Predict Battery SOC by Rupali Firke, Mukesh kumar Gupta

“…The model's predicted SOC closely matches the true SOC, and the SOC prediction error remains nearly zero even with a large sample of input data.…”
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Adaptation of the Novel Cubic B-Spline Algorithm for Dealing with Conformable Systems of Differential Boundary Value Problems concerning Two Points and Two Fractional Parameters by Omar Abu Arqub, Soumia Tayebi, Shaher Momani, Marwan Abukhaled

“…Here, several linear and nonlinear examples will be presented, and a model for the Lane-Emden will be one of the applications presented. Indeed, we will show the complete construction of the used spline through the conformable derivative along with the convergence theory, and the error orders together with other results that we will present in detail in the form of tables and graphs using Mathematica software. …”
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Protection of HEVC Video Delivery in Vehicular Networks with RaptorQ Codes by Pablo Piñol, Miguel Martínez-Rach, Otoniel López, Manuel Pérez Malumbres

“…In this paper we focus on HEVC video coding standard streaming in vehicular networks and how it deals with packet losses with the aid of RaptorQ, a Forward Error Correction scheme. As vehicular networks are packet loss prone networks, protection mechanisms are necessary if we want to guarantee a minimum level of quality of experience to the final user. …”
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Leveraging Large Language Models for Enhancing Safety in Maritime Operations by Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, Adrianna Łobodzińska, Kinga Łazuga, Polina Kozlovska

“…Maritime operations play a critical role in global trade but face persistent safety challenges due to human error, environmental factors, and operational complexities. …”
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DEVELOPMENT OF THE TECHNIQUE OF QUANTITATIVE DEFINITION OF TRIAZAVIRIN IN WATER SOLUTIONS WITH USE OF THE SPECTROPHOTOMETRY METHOD by M. Yu. Kinev, O. A. Melnikova, A. Yu. Petro, D. V. Zaboyarkina

“…The relative error of quantitative definition Triazavirin in water solutions made 0.37%, 0.14% and 8.29% respectively for a direct spectrophotometry, a spectrophotometry with use of standard solution, a spectrophotometry according to A.M. …”
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Assessment of tensile and fatigue behavior of PEEK in a physiologically relevant environment by Mirco Peron, Jan Torgersen, Filippo Berto

“…Concerning the former, the tensile strength was in fact estimated with an error lower than ±10%, regardless of the strain rate, while for the latter the SED approach was able to summarize the fatigue data with a single narrow scatter band independently from the notch geometry…”
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