Improved Probability-Weighted Moments and Two-Stage Order Statistics Methods of Generalized Extreme Value Distribution by Autcha Araveeporn

“…Their performance was assessed using simulation experiments under varying tail behaviors, represented by three types of GEV distributions: Weibull (short-tailed), Gumbel (light-tailed), and Fréchet (heavy-tailed) distributions, based on the mean squared error (MSE) and mean absolute percentage error (MAPE). …”
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Enhanced real-time Parkinson’s disease monitoring and severity prediction using a multi-faceted deep learning approach by Marreddy Naga Sabari, Deepak Ch

“…The proposed model achieved 99.62% accuracy, mean squared error (MSE) of 0.44 and mean absolute error (MAE) of 0.45. …”
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Experimental Study and Mathematical Modeling of the Osmotic Drying Process by F. Shafiee Langari, K. Movagharnejad*

“…ne"> The osmotic dehydration of three agricultural products including carrot, zucchini and turnip has been studied in this research. The effect of several factors including temperature, sample to osmotic solution weight ratio and the concentration of the osmotic solutes on the osmotic dehydration of these agricultural products were investigated experimentally. …”
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Development of MongoDB-based Gait System with Interactive Visualization for Clinical Analysis by Rizal Rahman Rizkika, Helisyah Nur Fadhilah, Tanzilal Mustaqim, Rifdatun Ni'mah

“…Gait analysis is a crucial aspect of biomechanics and medical rehabilitation, used to detect movement disorders, assess therapy effectiveness, and understand human walking patterns. In Indonesia, gait research remains limited, with most data sourced from abroad, which may not reflect the characteristics of the local population. …”
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Estimating Rainfall Erosivity in North Korea Using Automated Machine Learning: Insights into Regional Soil Erosion Risks by Jeongho Han, Seoro Lee

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Comparative analysis of ensemble learning techniques for enhanced fatigue life prediction by Sasan Farhadi, Samuele Tatullo, Francesco Ferrian

“…To assess the performance of the proposed models, a comprehensive set of evaluation metrics was performed, including mean square error (MSE), mean squared logarithmic error (MSLE), symmetric mean absolute percentage (SMAPE), and Tweedie score. …”
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Filtering Techniques To Reduce Speckle Noise And Image Quality Enhancement Methods On Porous Silicon Images Layers by Tifouti Issam, Rahmouni Salah, Meriane Brahim

“…Furthermore, the description of these techniques facilitates the operations of evaluations and research with a more specific scope. This study initially covers the definition and modeling of speckle noise. …”
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Coal Price Forecasting Using CEEMDAN Decomposition and IFOA-Optimized LSTM Model by Zhuang Liu, Xiaotuan Li

“…Empirical validation, leveraging the Platts price index for four major imported coking coal varieties, demonstrates that the CEEMDAN-IFOA-LSTM model significantly outperforms a broad range of benchmarks, including ANN, IFOA-LSSVR, CEEMDAN-LSTM, LSTM, BiLSTM, TCN, IFOA-LSTM, CEEMDAN-FOA-LSTM, CEEMDAN-PSO-LSTM, and CEEMDAN-GA-LSTM, achieving reduced root mean square error (RMSE) and mean absolute percentage error (MAPE). …”
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0.003°/h bias instability of honeycomb disk resonator gyroscope achieved by mode reversal combined mode deflection control method by Liangqian Chen, Qingsong Li, Tongqiao Miao, Peng Wang, Xuhui Zhang, Yang Zhang, Xuezhong Wu, Dingbang Xiao

“…This paper incorporates electrode machining error and capacitance detection nonlinear error into the gyroscope model, resulting in a more comprehensive bias output model. …”
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Apple Trajectory Prediction in Orchards: A YOLOv8-EK-IPF Approach by Jinxing Niu, Zhengyi Liu, Shuo Wang, Jiaxi Huang, Junlong Zhao

“…This research provides technical support for dynamic apple trajectory prediction in orchard environments.…”
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Methods for early prediction of lactation flow in Holstein heifers by Vesna Gantner, Klemen Potočnik, Krešimir Kuterovac, Ranko Gantner, Boris Antunović

“…The aim of this research was to define methods for early prediction (based on I. milk control record) of lactation flow in Holstein heifers as well as to choose optimal one in terms of prediction fit and application simplicity. …”
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Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India by S Karkuzhali, Thendral Puyalnithi, R Nirmalan

“…During the training phase, the Adam optimizer is used to fine-tune the model’s hyperparameters, with Mean Squared Error (MSE) serving as the loss function. Important assessment metrics, including as Mean Absolute Percentage Error (MAPE), Root Mean Squared Error (RMSE), and MSE, are used to evaluate the performance of the model. …”
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IoT-based bed and ventilator management system during the COVID-19 pandemic by Vivek Kumar Prasad, Debabrata Dansana, S. Gopal Krishna Patro, Ayodeji Olalekan Salau, Divyang Yadav, Brojo Kishore Mishra

“…This predictive capability of the proposed model contributes to the efficient management of healthcare resources. The research findings indicate that the proposed models demonstrate high accuracy, as evident by its low mean squared error (MSE), root mean squared error (RMSE), and mean absolute error (MAE).…”
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Surface Roughness Prediction of Bearing Ring Precision Grinding Based on Feature Extraction by Chaoyu Shi, Bohao Chen, Yao Shi, Jun Zha

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Dynamic Analysis of the Susceptible-Exposed-Infected-Hospitalized-Critical-Recovered-Dead (SEIHCRD) by Juhari Juhari, Silvi Kurnia

“…Where Infected cases will be sloping with an absolute error value of 28%, Hospitalized cases with an absolute error value of 20% and Critical cases with an absolute error value of 33%. …”
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Exploring PM2.5 and PM10 ML forecasting models: a comparative study in the UAE by Waad Abuouelezz, Nazar Ali, Zeyar Aung, Ahmed Altunaiji, Shaik Basheeruddin Shah, Derek Gliddon

“…Performance metrics including Mean Absolute Percentage Error (MAPE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Percent Bias (PBIAS) were applied. …”
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Automatic Registration of Panoramic Images and Point Clouds in Urban Large Scenes Based on Line Features by Panke Zhang, Hao Ma, Liuzhao Wang, Ruofei Zhong, Mengbing Xu, Siyun Chen

“…The average registration error is better than 3 pixels, and the root mean square error (RMSE) is less than 1.4 pixels. …”
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Novel cost-effective method for forecasting COVID-19 and hospital occupancy using deep learning by Nabil I. Ajali-Hernández, Carlos M. Travieso-González

“…To address these critical challenges, this research aims to develop and implement a predictive system capable of predicting pandemic evolution with accuracy (in terms of Mean Absolute error (MAE), Root Mean Square Error (RMSE), R 2 , and Mean Absolute Percentage Error (MAPE)) and low computational and economic cost. …”
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A Kazakh–Chinese Cross-Lingual Joint Modeling Method for Question Understanding by Yajing Ma, Yingxia Yu, Han Liu, Gulila Altenbek, Xiang Zhang, Yilixiati Tuersun

“…Current research on intelligent question answering mainly focuses on high-resource languages such as Chinese and English, with limited studies on question understanding and reasoning in low-resource languages. …”
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Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets by Daniel Cristóbal Andrade-Girón, William Joel Marin-Rodriguez, Marcelo Gumercindo Zuñiga-Rojas

“…The results indicate that the Stacking model achieved the best performance with an MAE (mean absolute error) of 14,090, MSE (mean squared error) of 5.338 × 10⁸, RMSE (root mean square error) of 23,100, R² of 0.924, and a Concordance Correlation Coefficient (CCC) of 0.960, also demonstrating notable computational efficiency with a time of 67.23 s. …”
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