Fractional Impervious Surface Mapping on Multispectral Images With Visible Shadows via a Bundle-Based Sparse Unmixing Model by Yanze Liu, Dacheng Li, Wei Xiong, Qijin Han, Lingling Ma

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Dynamic Workload Management System in the Public Sector: A Comparative Analysis by Konstantinos C. Giotopoulos, Dimitrios Michalopoulos, Gerasimos Vonitsanos, Dimitris Papadopoulos, Ioanna Giannoukou, Spyros Sioutas

“…Performance is assessed through ten evaluation metrics, including Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE), ensuring a comprehensive assessment of accuracy, robustness, and bias. …”
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Addressing the challenges of estimating the target population in calculation of routine infant immunization coverage in Kenya. by Christine Karanja-Chege, Ambrose Agweyu, Fred Were, Michael Boele van Hensbroek, William Ogallo

“…We assessed the accuracy of the estimates for 2003-2018 by computing the Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and the Pearson Correlation Coefficient (r), excluding outliers. …”
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A hybrid ARIMA-BP approach for superior accuracy in predicting traffic accident losses by Jian Liu, Zhuqing Zhang, Bin Lyu, Rui Feng, Ye He

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Intelligent aerodynamic modelling method for steady/unsteady flow fields of airfoils driven by flow field images based on modified U-Net neural network by Baigang Mi, Wenqi Cheng

“…Typical NACA aerofoils results show that, the prediction error for steady flow is less than 1.98%, while the prediction error for unsteady flow is less than 2.56%. …”
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Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

“…The results show a reduction in Absolute Trajectory Error from 0.62 meters to 0.25 meters, and a decrease in Root Mean Square Error from 0.85 meters to 0.39 meters. …”
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Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism by Adel Binbusayyis, Mohemmed Sha

“…Traditional techniques have limitations in accuracy and error rates, necessitating advancements in prediction techniques. …”
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Assessing Stereo Camera Applicability for Digital Monitoring of Cattle Exterior by S. S. Yurochka, D. Yu. Pavkin, A. R. Khakimov, P. S. Berdyugin, S. O. Bazaev

“…It was found that accuracy was higher at the center of the frame, with an average error of 3 centimeters at viewing angles near zero.…”
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Evaluating machine learning algorithms for energy consumption prediction in electric vehicles: A comparative study by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adil Noor

“…The models were evaluated using different metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), R², Root Mean Squared Error(RMSE) and Normalized Root Mean Squared Error(NRMSE), with visual analyses through scatter plots and time series plots. …”
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DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization. by Zhe Li, Lei Shi, Mingyu Pei, Wan Chen, Yutao Tang, Guozheng Qiu, Xibin Xu, Liwen Lyu

“…Descriptive statistics, error rates, and correlation analyses were performed using R software (version 4.1.2). …”
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Quantitative Assessment of Brix in Grafted Melon Cultivars: A Machine Learning and Regression-Based Approach by Uğur Ercan, Ilker Sonmez, Aylin Kabaş, Onder Kabas, Buşra Calık Zyambo, Muharrem Gölükcü, Gigel Paraschiv

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Tunnel water inflow prediction using explainable machine learning and augmented partially missing dataset by Shengdong Ju, Guangzhao Ou, Tao Peng, Yanning Wang, Quanlin Song, Peng Guan

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Visual-Based Position Estimation for Underwater Vehicles Using Tightly Coupled Hybrid Constrained Approach by Tiedong Zhang, Shuoshuo Ding, Xun Yan, Yanze Lu, Dapeng Jiang, Xinjie Qiu, Yu Lu

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A Skill Assessment Framework for the Fisheries and Marine Ecosystem Model Intercomparison Project by Nina Rynne, Camilla Novaglio, Julia Blanchard, Daniele Bianchi, Villy Christensen, Marta Coll, Jerome Guiet, Jeroen Steenbeek, Andrea Bryndum‐Buchholz, Tyler D. Eddy, Cheryl Harrison, Olivier Maury, Kelly Ortega‐Cisneros, Colleen M. Petrik, Derek P. Tittensor, Ryan F. Heneghan

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THE PARAMETER ANALYSIS OF CUBICAL STRUCTURED CADMIUM TELLURIDE (CdTe) SEMICONDUCTOR MATERIALS by Sinta Puspita Apriliani, Susi Susilawati, Koharudin Koharudin, Sarah Nabilah, Dwi Lestariningsih, Witri Desmulyani, Anis Munir Rukyati, Muhammad Fikri Fakhrurozi, Stefiana Sondary Az Zahrah, Irmansyah Irmansyah, Irzaman Irzaman

“…The data that we used to be analyzed is using data from the International Center for Diffraction Data (ICDD) that used the X-ray Diffraction (XRD) method. This research has been successfully analyzing energy gap, lattice parameters, and the error value of Cadmium telluride (CdTe) materials which have a cube-shaped crystal structure. …”
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Guarded Diagnosis: Preserving Privacy in Cervical Cancer Detection with Convolutional Neural Networks on Pap Smear Images by Sanmugasundaram Ravichandran, Hui-Kai Su, Wen-Kai Kuo, Manikandan Mahalingam, Kanimozhi Janarthanan, Kabilan Saravanan, Bruhathi Sathyanarayanan

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Analysis of the health status of patients with type 1 and type 2 diabetes mellitus living in urban and rural areas of the Saratov region (according to the data of the federal regis... by A. D. Ponomarev, G. Yu. Sazanova, M. A. Kunitsyna, L. M. Terina, A. A. Vojteshak

“…Mathematical, statistical and analytical research methods were used. Statistical data processing was carried out using the Microsoft Excel 2019 program. …”
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Rancang Bangun Smart Steamer untuk Monitoring Alat Sterilisasi Baglog Jamur Berbasis Internet of Things (IoT) by Anri Kurniawan, M Muhibbudin, Dede Setiadi

“…The research methodology consists of stages including the mushroom baglog steamer design, temperature monitoring system design, error testing (%), temperature increase testing, data collection, and data analysis. …”
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Exploration and application of deep learning based wellbore deformation forecasting model by Hui LIU, Guoqiang LI, Xiaojun ZHU, Pengfei ZHANG, Hua CHENG, Jinzheng WANG, Peishuai LI

“…The wellbore characteristic area and overall prediction effect are good, indicating that the wellbore deformation prediction model based on deep learning has good prediction ability. The research results have been effectively applied in the wellbore grouting repair and management project, which provides technical reference and data support for the safe management of wellbore, and provides engineering practical experience for similar projects.…”
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PET Imaging Expedites Detection of Aberration in the Humanization of an Annexin A1 Targeting Antibody by Hailey A. Houson, Brian D. Wright, Solana R. Fernandez, Tim Buss, Sharon L. White, Brittany Cederstrom, James M. Omweri, Jonathan E. McConathy, Jan E. Schnitzer, Suzanne E. Lapi

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