Sistem Pengolahan Citra Digital untuk Menentukan Bobot Sapi Menggunakan Metode Titik Berat by Ahmad Mustafid, Shofwatul 'Uyun

“…This article represented the second stages of the research to determine the weight of cows from the image acquisition. …”
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Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization by Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Md Baharul Islam, John Ekoru, Milka Madahana

“…Our model obtains a Root Mean Squared Error (RMSE) of 0.0049, an Mean Absolute Error (MAE) of 0.0034, a mean absolute percentage error (MAPE) of 0.46%, and a coefficient of determination <inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula> of 0.9970 according to experimental findings on a whole dataset. …”
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Evaluating the Performance of Satellite-Derived Soil Moisture Products Across South America Using Minimal Ground-Truth Assumptions in Spatiotemporal Statistical Analysis by B. G. Mousa, Alim Samat, Hong Shu

“…The integrated methods are error metrics (correlation (R), bias, and ubiased root mean square error (ubRMSE)), Triple Collocation Method (TCM), and Hovmöller diagrams. …”
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Artificial Intelligence in UAV Flight Controls: Deep Reinforcement Learning Based Altitude-Hold Strategies for Fixed-Wing UAVs by Hasan Raza Khanzada, Adnan Maqsood, Abdul Basit

“…The RL controllers outperformed the baseline PID controllers, among which the unified RL controller achieved a steady-state error of 0.58 meters and a transient response time of 5 seconds, compared to the PID controller&#x2019;s 1.11 meter steady-state error and transient response time of 16 seconds, thereby reducing the error by 48% and improving the response time by nearly 69%. …”
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A Comparative Analysis of Different Algorithms for Estimating Evapotranspiration with Limited Observation Variables: A Case Study in Beijing, China by Di Sun, Hang Zhang, Yanbing Qi, Yanmin Ren, Zhengxian Zhang, Xuemin Li, Yuping Lv, Minghan Cheng

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Quantitative Study on Uncertainty of Bubble and Droplet Models and Parameters in COSINE Code by CHENG Yixuan1, MENG Zhaocan2, 3, ZHANG Hao4, HUANG Ting2, 3, ZHAO Meng4, ZHOU Fanfan1, YANG Yanhua1, 3, 4

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A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques by Abdulmumin Ahmed Shuaibu, Zhiping Zeng, Ibrahim Hayatu Hassan, Wang Weidong, Hassan Suleiman Otuoze, Suleiman Abdulhakeem, Bushrah Baba Abdulrahman

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Non-Contact Oxygen Saturation Estimation Using Deep Learning Ensemble Models and Bayesian Optimization by Andrés Escobedo-Gordillo, Jorge Brieva, Ernesto Moya-Albor

“…As performance metrics for the SpO₂-estimation proposal, we calculated the Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and other parameters from the Bland–Altman (BA) analysis with respect to the reference. …”
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Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

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New method for landslide susceptibility evaluation in alpine valley regions that considers the suitability of InSAR monitoring and introduces deformation rate grading by Dingyi Zhou, Zhifang Zhao, Wenfei Xi, Xin Zhao, Jiangqin Chao

“…The landslide susceptibility evaluation model is validated using performance evaluation indexes (Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and R-Square (R2)), confirming its reliability and effectiveness. …”
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In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

“…The primary objective is to assess and compare their effectiveness in handling large-scale financial datasets, focusing on key aspects such as predictive accuracy, processing speed and scalability.Methods: The investigation uses the MapReduce methodology and Apache Spark independently to analyse a substantial stock price dataset and to train a random forest regressor. Mean squared error (MSE) and root mean square error (RMSE) were employed to assess the primary performance indicators of the models, while mean absolute error (MAE) and the R-squared value were used to evaluate the goodness of fit of the models.Results: The RMSE, MAE and MSE obtained for the Spark-based implementation were lower, compared to the MapReduce-based implementation, although these low values indicate high prediction accuracy. …”
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Model-Free Predictive Current Controller for Common Mode Voltage Stabilization by Finite odd Virtual Vector set by Majid Akbari, S. Alireza Davari, Reza Ghandehari, Freddy Flores-Bahamonde, Jose Rodriguez

“…This error can significantly raise the total harmonic distortion (THD) output current of the inverter. …”
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Prediction of Spatial Winter Wheat Yield by Combining Multiscale Time Series of Vegetation and Meteorological Indices by Hao Xu, Hongfei Yin, Jia Liu, Lei Wang, Wenjie Feng, Hualu Song, Yangyang Fan, Kangkang Qi, Zhichao Liang, WenJie Li, Xiaohu Zhang, Rongjuan Zhang, Shuai Wang

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Automated decision making in Barrett’s oesophagus: development and deployment of a natural language processing tool by Agathe Zecevic, Laurence Jackson, Xinyue Zhang, Polychronis Pavlidis, Jason Dunn, Nigel Trudgill, Shahd Ahmed, Pierfrancesco Visaggi, Zanil YoonusNizar, Angus Roberts, Sebastian S. Zeki

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Optimal parameter extraction of equivalent circuits for single- and three- phase Power transformers based on arctic puffin algorithm accomplished with experimental verification by Amlak Abaza, Ragab A. El-Sehiemy, Mohamed Assaad Hamida, Raphael Chenouard, Ahmed Bayomyi

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Study on the formation characteristics of underwater hemispherical shaped charge jet and its penetration performance into concrete by Chao Cao, Jinxiang Wang, Lingquan Kong, Kui Tang, Yujie Xiao, Yangchen Gu, Ming Yang, Jian Wang

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Can a Non-Destructive Method Predict the Leaf Area of Species in the Caatinga Biome? by Toshik Iarley da Silva, João Everthon da Silva Ribeiro, Thainan Sipriano dos Santos, Marcos Roberto Santos Correia, Maria Carolina Borges de Oliveira Ribeiro, Allysson Jonhnny Torres Mendonça, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Ester dos Santos Coêlho, Aurélio Paes Barros Júnior, Elania Freire da Silva, Alfredo Emilio Rubio-Casal, João L. M. P. de Lima, Thieres George Freire da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim

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Experimental Characterization of Commercial Scroll Expander for Micro-Scale Solar Organic Rankine Cycle Application: Part 2 by Federico Fagioli, Maria Manieri, Gianmarco Agostini, Michele Salvestroni, Francesco Taddei, Filippo Cottone, Maurizio De Lucia

“…This paper also describes in detail the measurement methodology and the associated error analysis to ensure comparability between experimental and numerical data. …”
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Benchmark study of three statistical methods for six intact rock failure criteria constrained by different rock strength data by Peng-fei He, Xin Li, Xu-long Yao, Zhi-gang Tao, Yan-ting Du

“…To reduce the impact of potential strength outliers on parameter estimation, statistical methods based on the least median square and least absolute deviation have been proposed as alternatives to the traditional least square method. However, little research has been conducted to compare the performance of these different statistical methods. …”
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Improving Pulsar Timing Precision with Single Pulse Fluence Clustering by Sofia V. Sosa Fiscella, Michael T. Lam, Maura A. McLaughlin

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