Study on the Interactions Process of Coupled Model of Furrow Opener–Soil–Pot Seedling Based on Discrete Approach by Bin Jiang, Jinping Cai, Xiongfei Chen, Junan Liu, Liping Xiao, Jinlong Lin, Yuqiang Chen

“…The coupled model bench validation test showed that its reliability error was <5%. The coupled model provides technical support for the design and parameter optimization of rice planting equipment.…”
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The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

“…The RBF kernel function was used as core tool of support vector machine for all proposed models. After optimization of parameters for kernel function, the bed load transport rate was predicted and obtained results from different models were investigated in terms of correlation coefficient (R), Root mean square error (RMSE) and Nash-Sutcliffe (NSE). in order to assess the capability of SVM in quantification of bed load under varied hydraulic conditions, Froude number (Fr) and bed slope of channel (S0) were selected as a parameters describing the hydraulic conditions and median diameter of the sediment particles (D50) and shear Reynolds number (Re*) were considered as a representative of sediment characteristic. …”
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A Tunnel Lining Line Identification Algorithm Based on Supervised Heatmap by Heng SONG, Yisheng ZHANG, Tianbao GENG, Dongjie WANG

“…By increasing the number of outer points, significant enhancements are initially observed. The optimal effect occurs when 8~10 outer points are used, with curve spacing errors of 3.48, 3.13, and 2.44 pixels, respectively, and improvement effects of 1.84, 1.88, and 2.08 pixels. …”
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Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding by Jiayi Su, Xiangfeng Kong, Wenliang Wang, Qian Xie, Chengming Wang, Bie Tan, Jing Wang

“…The findings demonstrated that the ensemble learning models, specifically random forest and gradient boosting decision tree regression, delivered the best overall performance, with a coefficient of determination (R2) ranging from 0.40 to 0.80 and a mean absolute error (MAE) between 0.11 and 4.36. The shapley additive explanations (SHAP) heatmap used for feature importance analysis revealed that, although the key predictors of weaning performance varied across models, this study newly identified lactation duration, birth litter weight, parity, and backfat thickness on the 7th day of lactation (L.d7BF) as consistently important features across different models. …”
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Convolutional Variational Autoencoder for Anomaly Detection in On-Load Tap Changers by Fataneh Dabaghi-Zarandi, Hassan Ezzaidi, Michel Gauvin, Patrick Picher, Issouf Fofana, Vahid Behjat

“…Several thresholds based on reconstruction errors are evaluated to detect anomalies, achieving optimal thresholds for each family. …”
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Pt/ZnO and Pt/few-layer graphene/ZnO Schottky devices with Al ohmic contacts using Atlas simulation and machine learning by Shonak Bansal, Abha Kiran Rajpoot, G. Chamundeswari, Krishna Prakash, Parvataneni Rajendra Kumar, Ahmed Nabih Zaki Rashed, Mohamed S. Soliman, Mohammad Tariqul Islam

“…This paper offers an in-depth comparative analysis to optimize the performance of two types of Schottky ultraviolet (UV) photodetectors: platinum (Pt)/zinc oxide (ZnO) and Pt/few-layer graphene (FLG)/ZnO, both featuring aluminum (Al) ohmic contacts. …”
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Evaluation methods and engineering applications of in-situ stress in deep, strong heterogeneity terrestrial shale oil and gas reservoirs: a case study of jurassic shales in the Yin... by Shujun Yin, Jianliang Zhang, Hucheng Deng, Hucheng Deng, Hao Qin, Wenhao Xia, Yu Du, Ming Gong, Tao Huang, Chang Li

“…Comparative analysis reveals that the minimum principal stress gradient in shale is higher than that in limestone and sandstone. …”
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Evaluation of the HumanMethylationEPIC v2.0 Bead Chip Using Low Quality and Quantity DNA Samples by Brando Poggiali, Mikkel Eriksen Dupont, Marie-Louise Kampmann, Athina Vidaki, Vania Pereira, Claus Børsting, Jacob Tfelt-Hansen, Jeppe Dyrberg Andersen

“…Finally, we assessed an application of DNAm by performing epigenetic age analysis, and observed mean absolute errors (MAEs) below 10 years for 350 bp samples across four epigenetic clocks. …”
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Design and Numerical Simulation of a Device for Film–Soil Vibrating Conveying and Separation Based on DEM–MBD Coupling by Shilong Shen, Jiaxi Zhang, Hu Zhang, Yongxin Jiang, Xin Zhou, Yichao Wang, Xuanfeng Liu, Haichun Zhang

“…Field validation tests using the optimal parameter combination yielded relative errors of 3.43% and 5.51%, respectively, demonstrating effective film–soil separation. …”
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Smart photonic wristband for pulse wave monitoring by Renfei Kuang, Zhuo Wang, Lin Ma, Heng Wang, Qingming Chen, Arnaldo Leal Junior, Santosh Kumar, Xiaoli Li, Carlos Marques, Rui Min

“…The results indicated that the smart photonic wristband had a high signal-to-noise ratio and low latency, with the measurement error controlled at approximately 3.7%. This optimized pulse signal could be used for further medical diagnosis and was capable of objectively monitoring subtle pulse signal changes, such as the pulse waveform at different positions of Cunkou and pulse waveforms before and after exercise. …”
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Non-Destructive Thickness Measurement of Energy Storage Electrodes via Terahertz Technology by Zhengxian Gao, Xiaoqing Jia, Jin Wang, Zhijun Zhou, Jianyong Wang, Dongshan Wei, Xuecou Tu, Lin Kang, Jian Chen, Dengzhi Chen, Peiheng Wu

“…Firstly, the refractive index of the material is determined through multi-peak amplitude analysis, achieving an error rate control within 1%. …”
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Launch dynamics modeling and simulation of box-type multiple launch rocket system considering plane clearance contact by Jinxin Tang, Guoping Wang, Genyang Wu, Yutian Sun, Lilin Gu, Xiaoting Rui

“…Moreover, the study investigated the influence of various model parameters on the dynamic characteristics of BMLRS, including launch canister bending stiffness, slider and guide material, slider-guide clearance, slider length and layout. This analysis of influencing factors provides a foundation for future optimization in BMLRS design.…”
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Assessing low free gas saturation via acoustic velocity in porous media by Rengang Shi, Rengang Shi, Jianwu Wang, Zhoutuo Wei, Zhoutuo Wei, Xinmin Ge, Xinmin Ge, Lei Xing, Lei Xing, Junfeng Zhao

“…To address these challenges, a dynamic coupling factor J is introduced within a revised Biot theoretical framework, and, in conjunction with core experimental data, the associated dynamic and elastic parameters are systematically optimized with respect to gas saturation. The new model accurately reflects the rapid decline of P-wave velocity with increasing gas content in the 0–2% saturation range, reducing velocity prediction error from 55.7% (typical of traditional approaches) to just 5.27%. …”
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Achieving high density and controlled microstructure by predicting hot deformation behavior of low-cost powder metallurgy Ti-5553 alloy by Krystian Zyguła, Oleksandr Lypchanskyi, Kamil Cichocki, Grzegorz Korpała, Marek Wojtaszek, Ulrich Prahl

“…The constitutive model demonstrated an accurate prediction of the alloy's behavior, with an average absolute relative error (AARE) of 9.45 % for flow stress at different strain levels. …”
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Developing supervised machine learning algorithms to classify lettuce foliar tissue samples into interpretation zones for 11 plant essential nutrients by Patrick Veazie, Hsuan Chen, Kristin Hicks, Jake Holley, Nathan Eylands, Neil Mattson, Jennifer Boldt, Devin Brewer, Roberto Lopez, Brian Whipker

“…Abstract Greenhouse crop nutrient management recommendations based on foliar tissue testing rely heavily on human interpretation, which can result in recommendation variations and errors. Critical nutrient ranges vary for each species, and the potential for error in interpretation increases due to this complexity. …”
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Predictive model of small choroidal melanoma progression after eye-saving treatment based on clinical, morphometric and immunological parameters by E. B. Myakoshina, I. G. Kulikova, N. V. Balatskaya, L. A. Katargina, S. V. Saakyan

“…If P (Z) is under the cutoff value, chorioretinal scar prognosis is predicted, at the higher values, a residual tumor or continued growth is expected. In ROC analysis, the area under the curve with this model was 0.891±0.11, thus providing good predictive quality.Usage of the predictive model is a possible solution for planning and correcting treatment strategy in the patients with small choroidal melanoma, in order to minimize complications and errors, and to ensure control of treatment.…”
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Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches by Souheyb Mohammed Belhadj, Bouziane Meliani, Habib Benbouhenni, Sarra Zaidi, Z.M.S. Elbarbary, Mohammed M. Alammer

“…MATLAB simulations validate the superior performance of the proposed controller, demonstrating a consistent tracking efficiency of over 99.5 % across varying conditions (irradiance: 700–1000 W/m2, temperature: 25–45 °C). Comparative analysis reveals that the T2FLC improves tracking efficiency by up to 5.2 % compared to T1FLC and 7.5 % compared to IC, while also achieving faster convergence, reduced steady-state error, and enhanced stability. …”
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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…By shifting the focus from reactive to proactive injury management, AI technologies contribute to enhanced athlete safety, optimized performance, and reduced human error in medical decisions. …”
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Possibilities of using artificial intelligence technologies in the morphological diagnosis of inflammatory bowel diseases (literature review) by E. G. Churilova, A. B. Kazumova, Kh. M. Akhrieva, N. V. Pachuasvili, A. S. Tertychnyy

“…AI is becoming an integral part of IBD diagnostics, enhancing the accuracy of morphological studies, optimizing endoscopic methods, and reducing error rates. …”
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1 &#x00D7; 2 Switchable Dual-Mode Optical 90&#x00B0; Hybrid Device Based on Thermo-Optic Phase Shifters and 2 &#x00D7; 2 MMI Couplers on SOI Platform by Hai Ta Duy, Duy Nguyen Thi Hang, Thanh Thuy Tran, Nguyen Do Hoang Khoi, Cuong Chu, Hieu Nguyen, Truong C Dung

“…The optimization of geometrical parameters and metallic micro-heaters is executed through the numerical simulation method. …”
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