Multiscale-Band K-Distribution Model for Molecules in High-Temperature Gases by Lei Shi, Yuyue Zhang, Fangyan Li, Yuefan Du, Bo Yao

“…In the model, the 7-point Gauss–Lobatto method is employed to obtain the optimized absorption coefficients. These optimized absorption coefficients formed the absorption coefficient database. …”
Get full text

Satellite estimation of pCO2 and quantification of CO2 fluxes in lakes in the context of climate change by Ruixue Zhao, Zhidan Wen, Yingxin Shang, Ge Liu, Hui Tao, Chong Fang, Sijia Li, Xiangfei Yu, Qian Yang, Jiping Liu, Kaishan Song

“…The XGBoost model achieved the optimal combination of fitting accuracy and Root Mean Square Error (R2 = 0.86, RMSE = 148.73 μatm) and validation accuracy (R2 = 0.71, RMSE = 186.14 μatm). …”
Get full text

Non-Invasive Optoelectronic System for Color-Change Detection in Oranges to Predict Ripening by Using Artificial Neural Networks by J. D. Filoteo-Razo, J. C. Elizondo-Leal, J. R. Martinez-Angulo, J. H. Barron-Zambrano, A. Diaz-Manriquez, V. P. Saldivar-Alonso, J. M. Estudillo-Ayala, R. Rojas-Laguna

“…In addition, an overall precision of 96.6% was achieved when classifying fruit into three maturity categories (under-ripe, ripe, and over-ripe), and the error was 3.4%. The combination of the optoelectronic device and ANN improves considerably this fruit color classification accuracy, can facilitate the determination of the optimal time for consumption, and optimize the postharvest process efficiency.…”
Get full text

Benchmarking of bioinformatics tools for the hybrid de novo assembly of human and non-human whole-genome sequencing data by Adrián Muñoz-Barrera, Luis A. Rubio-Rodríguez, David Jáspez, Almudena Corrales, Itahisa Marcelino-Rodriguez, Lourdes Ortiz, Pablo Mendoza, José M. Lorenzo-Salazar, Rafaela González-Montelongo, Carlos Flores

“…Based on the results, a complete optimal analysis pipeline for the assembly, polishing, and contig curation developed on Nextflow is provided to enable efficient parallelization and built-in dependency management to further advance the generation of high-quality and chromosome-level assemblies.…”
Get full text

Assessment of pan coefficient performance: A comparative study of empirical and model-driven approaches using a hill-climbing-based alternating model tree and MOORA by Saad Javed Cheema, Aitazaz A. Farooque, Mehdi Jamei, Khabat Khasravi, Farhat Abbas, Suqi Liu, Travis J. Esau, Kuljeet Singh Grewal

“…Intensive experiments for pan evaporation (Epan) were conducted to develop a model, which includes hill-climbing based BestFirst-ClassifierSubsetEval (BF), alternating model tree (AMT), and multi-objective optimization by ratio analysis (MOORA). The model was assessed by comparing its performance using Bidirectional long-short-term memory (Bi-LSTM), recurrent neural network (RNN), random forest (RF), elastic regression net (Elastic net), and Instance-based learner K-Nearest Neighbor (IBK). …”
Get full text

Development, validation, and demonstration of the rotary parlor model by Ryan Prendergast, John Upton, Fergal Buckley, Michael D. Murphy

“…Model validation produced mean absolute percentage error values of 3.3%, 3.5%, and 2.9% for MPT, cows/h, and L/h metrics, respectively. …”
Get full text

Impact of lightweight clay aggregate with slag and biomedical waste ash on self-compacting concrete using machine learning approach by Kennedy C. Onyelowe, Viroon Kamchoom, Shadi Hanandeh, Ahmed M. Ebid, Janneth Alejandra Viñan Villagran, Raúl Gregorio Martínez Pérez, Fausto Ulpiano Caicedo Benavides, Paul Awoyera, Siva Avudaiappan

“…AdaBoost and KNN demonstrate the lowest errors (MAE: 0.65 MPa, RMSE: 0.75 MPa), indicating precise performance, minimizing overdesign or underperformance risks, and optimizing material usage. …”
Get full text

Adjusting the timing of inseminations to the time lag on luteolysis alerts results in higher conception in dairy cattle by D. Meuwissen, M.J. Gote, R. Meyermans, S. Janssens, I. Adriaens, B. Aernouts

Get full text

A Case Study Comparing Methods for Coal Thickness Identification in Complex Geological Conditions by Tao Ding, Yanhui Wu, Lei Wang, Zhen Nie, Lei Zhang

“…Specifically, after applying proper static corrections, a four-layer BP neural network was constructed using four optimized sensitive attributes as the input layer, achieving an error range of 0.11% to 1.36%, compared to 0.03% to 6.59% for the logging-based method. …”
Get full text

Adaptive Event-Triggered Predictive Control for Agile Motion of Underwater Vehicles by Bo Wang, Junchao Peng, Jing Zhou, Liming Zhao

“…Computational Fluid Dynamics (CFD) software is employed for hydrodynamic analysis and shape optimization. A novel adaptive event-triggered nonlinear model predictive control (AET-NMPC) algorithm is proposed and compared with traditional Cascaded Proportional–Integral–Derivative (PID) control and event-triggered cascaded PID control algorithms. …”
Get full text

Analyse Sprachlicher Fehler in der Fremdsprachlichen Kommunikation von Pflegefachkräften mit Patient:innen by Sarah Löwenkamp

“…The error analysis is also used to classify the extent to which these errors would limit the success of communication with their patients. …”
Get full text

The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

“…Early and accurate diagnosis is vital for improving patient outcomes, however, traditional methods, such as manual Magnetic Resonance Imaging (MRI) analysis, are often time-consuming and error-prone. …”
Get full text

Machine Learning for Dynamic Pressure Coefficient Prediction in Vertical Water Jets by Amin Salemnia, Seyedehmaryam Hosseini Boldaji, Vida Atashi, Manoochehr Fathi-Moghadam

“…The XGBoost model outperformed others, achieving an R-squared of 0.953 and a Root Mean Squared Error (RMSE) of 0.191. Residual analysis validated its better performance, demonstrating that it delivered the most accurate predictions with minimal bias. …”
Get full text

Applications of quantum computing in clinical care by Stevan C. Fairburn, Stevan C. Fairburn, Lara Jehi, Brenton T. Bicknell, Beckley G. Wilkes, Bharat Panuganti

“…QC holds transformative potential in medicine, particularly through enhancing diagnostic accuracy, optimizing treatment plans, and enabling real-time decision-making.MethodsA systematic analysis of 35 studies published between 2015 and 2024 was conducted. …”
Get full text

A study on monthly sales forecasting of new energy vehicles in urban areas using the WOA-BiGRU model. by Xiangtu Li

“…To accurately predict the sales of new energy vehicles (NEVs) in Chinese cities and explore the applicability of optimization algorithms for GRU models in forecasting urban NEV sales., this paper conducts a spatiotemporal analysis of urban NEV sales data. …”
Get full text

The FTR dual-loop architecture based on SID–NLMS can achieve a threshold of 0.0001°/s and an ARW of 0.006°/√h for MEMS QMG by Zhuolin Yu, Tong Zhou, Yi Zhou, Qilong Wu, Xinyuan Wang, Bo Jiang, Yan Su

“…Abstract With the introduction of technologies such as structural optimization and error correction, the performance of the MEMS quad-mass gyroscope (QMG) has significantly improved, while noise has gradually become a critical factor limiting its performance. …”
Get full text

Predicting heat transfer Performance in transient flow of CNT nanomaterials with thermal radiation past a heated spinning sphere using an artificial neural network: A machine learn... by S.R. Mishra, P.K. Pattnaik, Rupa Baithalu, P.K. Ratha, Subhajit Panda

“…The error analysis also presented briefly and the variation of characterizing parameters is depicted via graphs. …”
Get full text

Informing Visual Display Design of Electronic Health Records: A Human Factors Cross-Industry Perspective by Zoe M. Pruitt, Jessica L. Howe, Lucy S. Bocknek, Arianna P. Milicia, Patricia A. Spaar, Seth Krevat, Raj M. Ratwani

“…Human factors experts used a modified reflexive thematic analysis to group guidelines into meaningful topics. …”
Get full text

Development of pharmaceutical care competency framework in Chinese hospital pharmacist: a qualitative study in grade a tertiary hospitals by Wanqing Wang, Yong Wang, Xin Shi, Jianguo Zhu, Rong Chen

“…Questionnaire survey was used to evaluate the framework and Cronbach’ s α coefficient was used to determine the reliability analysis. Exploratory factor analysis and validation factor analysis were used for the validity analysis. …”
Get full text

Prediction of Train Arrival Delay Using Hybrid ELM-PSO Approach by Xu Bao, Yanqiu Li, Jianmin Li, Rui Shi, Xin Ding

“…In addition, through a detailed analysis of the prediction error, it is found that our model possesses good robustness and correctness.…”
Get full text