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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Effect of Pixel Offset Adjustments for XY Plane Dimensional Compensation in Digital Light Processing 3D Printing on the Surface Trueness and Fit of Zirconia Crowns by KeunBaDa Son, Ji-Min Lee, Kyoung-Jun Jang, Sang-Kyu Lee, Jun Ho Hwang, Jong Hoon Lee, Hyun Deok Kim, So-Yeun Kim, Kyu-Bok Lee

“…Surface trueness worsened with increasing pixel offset, showing greater positive errors (<i>p</i> < 0.001). Optimizing pixel offset in DLP 3D printing is crucial to ensuring clinically acceptable zirconia crowns. …”
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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…Machine learning models have improved workflow efficiency, reduced diagnostic errors, and enabled early identification of vascular pathology. …”
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AI-enabled driver assistance: monitoring head and gaze movements for enhanced safety by Sayyed Mudassar Shah, Gan Zengkang, Zhaoyun Sun, Tariq Hussain, Khalid Zaman, Abdullah Alwabli, Amar Y. Jaffar, Farman Ali

“…The proposed system achieves superior precision, with a weighted accuracy of 95.02% and Root Mean Square Errors of 2.23 and 1.68 for vertical and horizontal gaze estimation, respectively, validated on the MPII-Gaze and DG-Unicamp datasets. …”
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A Discrete Fourier Transform-Based Signal Processing Method for an Eddy Current Detection Sensor by Songhua Huang, Maocheng Hong, Ge Lin, Bo Tang, Shaobin Shen

“…By enforcing strict periodicity matching between sampling points and signal frequencies, the proposed approach mitigates DFT spectrum leakage, validated via phase linearity analysis with errors of ≤0.07° across the 20 Hz–1 MHz frequency range. …”
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Dual-Arm Mobile Manipulator Teleoperation With Coupled Rate-Position Mapping Under Time-Varying Delays by Fernando A. Chicaiza, Emanuel Slawinski, Vicente Mut

“…A two-stage stability analysis, based on the Lyapunov-Krasovskii criterion and numerical simulations, is conducted to determine the parameter conditions required to ensure bounded coordination errors in the presence of time-varying communication delays. …”
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Prediction of Power System Ramping Demand Using Meteorological Features by Kuan Lu, Song Gao, Jun Li, Kang Chen, Chunhao Yu

“…Multidimensional correlation analysis quantifies the relationships among net load characteristics, historical load forecasts, weather predictions, historical prediction errors, and uncertain ramping demands. …”
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Research on Wellbore Trajectory Prediction Based on a Pi-GRU Model by Hanlin Liu, Yule Hu, Zhenkun Wu

“…However, traditional mechanical analysis methods have high computational complexity, and the existing data-driven models cannot fully integrate non-sequential features such as stratum lithology. …”
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Learning Distributed Parameters of Land Surface Hydrologic Models Using a Generative Adversarial Network by Ruochen Sun, Baoxiang Pan, Qingyun Duan

“…Ablation analysis indicates that relying solely on the traditional loss could lead to deteriorated model performance, underscoring the crucial role of the discriminator. …”
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Deep learning radiomics based on MRI for differentiating tongue cancer T - staging by Zhaoyi Lu, Bowen Zhu, Hang Ling, Xi Chen

“…Conclusion DLRresnet18 and DLRresnet50 models significantly improve T-stage prediction accuracy over traditional radiomics, reducing subjective interpretation errors and supporting personalized treatment planning. …”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…Key model parameters are optimized, and a sensitivity analysis is conducted. …”
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Experimental determination of effective porosity in terrestrial shale reservoirs and logging characterization methods： A case study of shale of Es4UC in Boxing Subsag by CHEN Bing

“…In the core experiment， the experimental procedures of the liquid measurement method and two-dimensional （2D） NMR method were optimized， and many methods were compared and selected. …”
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The Role of Human Capital in Explaining Asset Return Dynamics in the Indian Stock Market During the COVID Era by Eleftherios Thalassinos, Naveed Khan, Mustafa Afeef, Hassan Zada, Shakeel Ahmed

“…However, the HC6FM consistently shows lower pricing errors and better performance, specifically during and after the pandemic era. …”
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KAN-Based Tool Wear Modeling with Adaptive Complexity and Symbolic Interpretability in CNC Turning Processes by Zhongyuan Che, Chong Peng, Jikun Wang, Rui Zhang, Chi Wang, Xinyu Sun

“…To evaluate the performance of KANs, this research systematically compares prediction errors, topological evolutions, and mathematical interpretations of derived symbolic formulas. …”
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Strategy to improve the confidence level of qualitative screening by high resolution mass spectrometry: A case study of mycotoxins in maize by Yan Gao, Mengyu Feng, Xiuqin Li, Yan Zhang, Jinglei Hu, Kangcong Li, Jianhua Duan, Qinghe Zhang

“…In this study, a qualitative screening method was established using HPLC-HRMS on data dependent acquisition for the analysis of mycotoxins in maize. To ensure the sensitivity and applicability of the method, 41 mycotoxin standards were applied for method optimization. …”
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Feasibility of cognitive testing and ecological momentary assessments using smartphones in middle aged and older adults with insomnia by Sara Ghadimi, Jason Ereso, Alexander J. Kaula, Nick Taptiklis, Francesca Cormack, Cathy Alessi, Jennifer L. Martin, Joseph M. Dzierzewski, Arash Naeim, Sarah Kremen, Tue Te, Constance H. Fung

“…Mean cognitive test scores were DGS-Forward = 7 (SD 1.3), DGS-Backward = 5.6 (SD 1.0), VPA total errors = 9.9 (SD 3.7), and VPA-DR = 2.2 (SD 1.9). …”
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Study on applicability of indoor electromagnetic wave propagation attenuation statistical models in mines by SUN Jiping, PENG Ming

“…The design, planning, and optimization of mining communication systems, personnel and vehicle positioning, wireless video, and wireless sensing systems such as 5G, 5.5G, WiFi 6, WiFi 7, UWB, and ZigBee require analysis of electromagnetic wave propagation in mines. …”
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Six Sigma model with implement SAPF to enhance power quality and product quality at induction heat treatment process by Minh Ly Duc, Petr Bilik, Radek Martinek

“…In the improvement phase, the Taguchi method was used to optimize processing conditions, minimizing errors in the production process. …”
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Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection by Nicolas Grünfelder, Manmit Padhy, Alaa Armiti-Juber, Seyed Morteza Seyedpour, Navina Waschinsky, Tim Ricken

“…This enables the efficient analysis and optimization of auxetic and non-auxetic lattice structures at scales relevant to practical engineering applications.…”
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LightGBM hybrid model based DEM correction for forested areas. by Qinghua Li, Dong Wang, Fengying Liu, Jiachen Yu, Zheng Jia

“…The accuracy of digital elevation models (DEMs) in forested areas plays a crucial role in canopy height monitoring and ecological sensitivity analysis. Despite extensive research on DEMs in recent years, significant errors still exist in forested areas due to factors such as canopy occlusion, terrain complexity, and limited penetration, posing challenges for subsequent analyses based on DEMs. …”
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