THE PERFOMANCE OF THE ARIMAX MODEL ON COOKING OIL PRICE DATA IN INDONESIA by Erdanisa Aghnia Ilmani, Fida Fariha Amatullah, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah

“…Evaluation based on Mean Absolute Percentage Error (MAPE) shows that the ARIMAX model has a MAPE of 17.31%, compared to 17.69% for the ARIMA model. …”
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Mixed Balanced Truncation for Reducing the Complexity of Large-Scale Electrical and Electronic System Simulations by Huy-Du Dao, Thanh-Tung Nguyen, Ngoc-Kien Vu, Van-Ta Hoang, Hong-Quang Nguyen

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Sensitivity analysis and uncertainty quantification of stiffness modulus using indirect tensile test by Hicham Mezouara, Houcine Zniker, Ikram Feddal, Mohammed Khalil El Kouifat, Mohamed El Hasnaoui

“…The study found that test repeatability is the primary contributor to measurement error, accounting for approximately 79.72%, followed by thickness measurement, contributing around 19.75%.…”
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Design of tomato picking robot detection and localization system based on deep learning neural networks algorithm of Yolov5 by Jianwei Zhao, Wei Bao, Leiyu Mo, Zhiting Li, Yushuo Liu, Jiaqing Du

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Winter Wheat Water Productivity Evaluated by the Developed Remote Sensing Evapotranspiration Model in Hebei Plain, China by Shengwei Zhang, Hongbin Zhao, Huimin Lei, Hongbo Shao, Tingxi Liu

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Intelligent Identification Method of Wind Farm Sub-synchronous/Super-synchronous Oscillation Parameters Based on RA-CNN and Synchrophasor by Youwen LU, Hao CUI, Jianing CHEN, Xiangjia PENG, Shuang FENG, Dong LIU

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Output current harmonic analysis and suppression method for PMSM drive system with modular multilevel converter by Yang Zhang, Sicheng Li, Bing Luo, Chaokui Luo, Zhi Yu

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Magnitude Modelling of HRTF Using Principal Component Analysis Applied to Complex Values by Oscar Alberto RAMOS, Fabián Carlos TOMMASINI

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An Improved Soft Actor–Critic Task Offloading and Edge Computing Resource Allocation Algorithm for Image Segmentation Tasks in the Internet of Vehicles by Wei Zou, Haitao Yu, Boran Yang, Aohui Ren, Wei Liu

“…The results demonstrate that the proposed PER-iSAC significantly reduces task allocation error rates and optimizes task completion times. …”
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Rapid screening of fumonisins in maize using near-infrared spectroscopy (NIRS) and machine learning algorithms by Bruna Carbas, Pedro Sampaio, Sílvia Cruz Barros, Andreia Freitas, Ana Sanches Silva, Carla Brites

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Using natural vegetation succession to evaluate how natural restoration proceeds under different climate in Yunnan, Southwest China. by Weifeng Gui, Qingzhong Wen, Wenyuan Dong, Xue Ran, Xiaosong Yang, Guangqi Zou, Dechang Kong

“…Constant vigilance is required in the first five years following the implementation of restoration actions to avoid failure due to calculation errors.…”
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Tomographic reconstruction algorithms for retrieving two-dimensional ice cloud microphysical parameters using along-track (sub)millimeter-wave radiometer observations by Y. Liu, Y. Liu, I. S. Adams

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A Two-Point Association Tracking System Incorporated With YOLOv11 for Real-Time Visual Tracking of Laparoscopic Surgical Instruments by Nyi Nyi Myo, Apiwat Boonkong, Kovit Khampitak, Daranee Hormdee

“…In order to validate the effectiveness of this research, real-time surgical instrument tracking is performed with the streaming of laparoscopic gynecologic surgery on a donated soft-tissue cadaver. …”
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Professional Features of IT Specialists’ Activities as Burnout Risk Factors by Alena F. Dzhumagulova, Natalia E. Vodopyanova, Olga O. Gofman, German S. Nikiforov

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Comparison of laparoscopic surgical skills acquired on a virtual reality simulator and a box trainer: an analysis for obstetrics-gynecology residents by M. Varras, C. Loukas, N. Nikiteas, V.K. Varra, F.N. Varra, E. Georgiou

“…Performance metrics included time, instrument pathlength, and various task-specific errors. Results: Both groups demonstrated significant performance improvement in all training tasks, for all but one of the metrics (p < 0.05). …”
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Acceptability and usability of Drugs4dent®, a dental medicines decision tool – a pilot study by Leanne Teoh, Ruby Biezen, Marietta Taylor, Richard O. Sinnott, Michael J. McCullough

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A Clinical Case of Two-Stage Visual-Functional Rehabilitation of a Patient with Postinfectious Central Corneal Opacity in Combination with Mixed Astigmatism Using Laser Keratorefra... by N. V. Maychuk, I. A. Mushkova, M. R. Obraztsova

“…At the first stage, in order to regularize the ocular surface and eliminate Central corneal opacity, an inverted topographically oriented PRK was performed; at the second stage, residual refractive errors were corrected using topographically oriented FemtoLASIK technology.Conclusion. …”
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Accuracy and repeatability of the COSMED® Q-NRG max mobile metabolic system. by Lavinia Falcioni, Laura Guidetti, Carlo Baldari, Andrey Sanko Posada, Chris Wing, Luke Dover, Marco Meucci

“…Accuracy was assessed by ordinary least products (OLP) regression analysis, Bland-Altman plots, intraclass correlation coefficients (ICC), mean percentage differences, technical errors (TE) and minimum detectable change (MDC) for all three variables. …”
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Short-Term Traffic Flow Prediction: A Method of Combined Deep Learnings by Chuanxiang Ren, Chunxu Chai, Changchang Yin, Haowei Ji, Xuezhen Cheng, Ge Gao, Heng Zhang

“…Moreover, a dynamic optimal weighted coefficient algorithm (DOWCA) is proposed to calculate the dynamic weights of CNN-LSTM-attention and CNN-GRU-attention with the goal of minimizing the sum of squared errors of the CDLP model. Then, the neuron number, loss function, optimization algorithm, and other parameters of the CDLP model are discussed and set through experiments. …”
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Real-Time Pipeline Fault Detection in Water Distribution Networks Using You Only Look Once v8 by Goodnews Michael, Essa Q. Shahra, Shadi Basurra, Wenyan Wu, Waheb A. Jabbar

“…Traditional inspection methods are often time-consuming, costly, and prone to errors. This study introduces an AI-based model utilizing images to detect pipeline defects, focusing on leaks, cracks, and corrosion. …”
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