Comparative analysis of rainfall data from remote sensing and surface stations in the Paracatu river basin, Brazilian Cerrado by Maycow Douglas de Oliveira Silva, Paulo Sérgio Cardoso Batista, Sharrine Omari D. de Oliveira Marra, Marinaldo Loures Ferreira

“…Among the statistical analyses, we have used metrics commonly applied in precipitation studies, such as Pearson’s correlation coefficient (CC), relative bias (BIAS), coefficient of determination (R²), and root mean square error (RMSE). Monthly coefficients of determination (R²) ranged from 0.77 to 0.89, reflecting CHIRPS’ capability to capture rainfall patterns on this scale. …”
Get full text

The Analysis of English Language Teaching of the Students with Intellectual Disabilities: A Review on the Program, English Course Book for 7th Graders, and the Teacher’s Guide by Ahmad Ramezani, Payvand Mihandoust

“…Some of the weaknesses were ignoring students’ different learning styles, not introducing appropriate way of error correction, and inappropriate bookbinding. …”
Get full text

An Approach for SAR Feature Reconfiguring Based on Periodic Phase Modulation with Inter-Pulse Time Bias by Liwen Zhu, Junjie Wang, Dejun Feng

“…The reconfigured imaging features maintain geometric consistency within the resolution error range, and the size and position of the target can be set as required.…”
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

Get full text

A numerical investigation of reactive flow fields and species distribution in sonoreactors by Seyed Reza Taghavi, Shahrokh Shahhosseini, Masoud Rahimi

Get full text

Catalyzing Supply Chain Evolution: A Comprehensive Examination of Artificial Intelligence Integration in Supply Chain Management by Sarthak Pattnaik, Natasya Liew, Ali Ozcan Kures, Eugene Pinsky, Kathleen Park

“…AI has become pivotal in tackling various Supply-Chain Management challenges, notably enhancing demand forecasting precision and automating warehouse operations for improved efficiency and error reduction. However, a critical debate arises concerning the choice between less accurate explainable models and more accurate yet unexplainable models in Supply-Chain Management applications. …”
Get full text

Statistical thermal study of ternary hybrid nanofluid flow in coaxial cylinder: artificial neural network approach by s Manjunatha, Khalil Ur Rehman, Wasfi Shatanawi, Tanuja T N

“…Further, the correlation between the parameter on the rate of heat transfer is analysed by using Mean square error and regression graphs. The key outcome of this research is that, the temperature upsurges by increasing the solid volume of nanoparticle due to higher thermal conductivity of the nanoparticles. …”
Get full text

Reconstruction of a 3D Real-World Coordinate System and a Vascular Map from Two 2D X-Ray Pixel Images for Operation of Magnetic Medical Robots by Nahyun Kim, Serim Lee, Junhyoung Kwon, Gunhee Jang

“…Utilizing the proposed method, we calculated the relative rotation angle of a C-arm considering its rotational precision error. We derived the position information and 3D coordinate system of an MNS workspace in which the magnetic fields are generated and controlled by an MNS. …”
Get full text

A Method for Generating and Evaluating Magnetic Flux Leakage Data for Large-diameter Pipeline Crack Defects Based on Numerical Simulation and Diffusion Algorithm by Chen Ximing, Li Kun, Fu Mengkai, Zhu Jianjun, Liu Xiaoben

“…The accuracy of the three-dimensional MFL simulation model reaches the engineering requirement （average error <5%）， and 240 groups of crack defect simulation databases were constructed. …”
Get full text

Application of EDTA Coordination Titration Method in Field Detection of Zinc in Polymetallic Ores by Qianshu LU, Yuanshun YE, Yinjian WANG, Zhenchao LIU, Jinwei CHEN

“…The relative deviation and relative error of zinc content were 0.00% to 2.11% and 0.00% to 2.41%, respectively. …”
Get full text

Development of a Power Calculation Model of Hybrid-Sized Wave Energy Converter Arrays by Anru Fan, Huibo Zhang, Yijia Zhang, Junchen Liu, Jinming Yao

“…Based on the irregular model setting and water entry conditions, an experimental verification study on the power calculation model is carried out using the wave energy converter previously developed by the research team. The results show that the average error of the power calculation model proposed in this paper is less than 10%, demonstrating the accuracy of the model.…”
Get full text

Gene Fusion Detection in Long-Read Transcriptome Datasets from Multiple Cancer Cell Lines by Keigo Masuda, Yoshiaki Sota, Hideo Matsuda

“…Background: Fusion genes are important biomarkers in cancer research because their expression can produce abnormal proteins with oncogenic properties. …”
Get full text

Nonlinear dynamics of laminar flow in porous channels: Effects of wall dilation and inertial–viscous interplay by Mahmmoud M. Syam, M. Alabdul Razzak, Hossam R. Ammar, Sally Suhel Aldeleh

“…The method achieved an L2-truncation error on the order of 10−14, outperforming traditional numerical solvers such as BVP4C, RKF45, and VIM. …”
Get full text

The Impact of Macroeconomic Factors on Mortality from Non-Communicable Diseases: Evidence from Azerbaijan by Mayis Gulaliyev, Masim Abadov, Vugar Gapagov, Irada Mehdiyeva, Jeyhun Mahmudov

“…The empirical findings of this study suggest a significant long-term relationship between the <i>probability of mortality due to non-communicable diseases (NCDs) among individuals aged 30–70 in Azerbaijan</i> and key economic and social indicators, including <i>Gross Domestic Product per Capita, Waged Employment, Human Development Index, and out-of-pocket health expenditures</i>. The <i>Error Correction Model coefficient (−0.724701)</i> implies that the system adjusts back to equilibrium at a rate of <i>72.47% per period</i>, highlighting a strong corrective mechanism. …”
Get full text

Optimizing Artificial Neural Networks with Particle Swarm Optimization for Accurate Prediction of Insulator Flashover Voltage Under Dry and Rainy Conditions by Abdelhalim Mahdjoubi, lazreg taibaoui, Boubakeur Zegnini

“…Rigorous testing demonstrated exceptional accuracy, with a mean absolute percentage error (MAPE) of 0.2458 and a near-perfect coefficient of determination (R²) of 0.999. …”
Get full text

Time Prediction in Ship Block Manufacturing Based on Transfer Learning by Jinghua Li, Pengfei Lin, Dening Song, Zhe Yan, Boxin Yang, Lei Zhou

“…Despite a small sample size of only 80, our proposed block time prediction method achieves an impressive mean absolute percentage error (MAPE) of 8.62%. In contrast, the MAPE for the predictive model without a transfer learning algorithm is notably higher at 14.97%. …”
Get full text

Design of drain tube with cone to prevent frost accumulation of drainage hole in household refrigerators using artificial neural network by Suhwan Lee, Dongkuk Kang, Jinxing Fan, Sunghee Kang, Dong Kim, Eunseop Yeom

Get full text

Numerical Simulation Analysis of Concrete-Filled Circular CFRP–Steel Middle Long Columns by Chuheng Zhong, Shuai Wang, Jun Leng, Jinzhi Zhou

“…Based on the research on concrete-filled circular steel tubular columns, the influence of carbon-fiber-reinforced polymers (CFRPs) on the ultimate bearing capacity of concrete-filled steel tubes (CFSTs) was further explored in this paper. …”
Get full text

Synergistic approaches in forest fire risk mapping using fuzzy AHP and machine learning models in the Chure Tarai Madhesh Landscape (CTML) of Nepal by Milan Dhakal, Balram Bhatta, Prakash Lamichhane, Ashok Parajuli

“…This study utilized eleven conditioning factors and assessed model accuracy using the ROC curve and multiclass error matrix. The results demonstrate low multicollinearity among factors and a robust FAHP consistency ratio of 0.03. …”
Get full text

Registration of 2D C-Arm and 3D CT Images for a C-Arm Image-Assisted Navigation System for Spinal Surgery by Chih-Ju Chang, Geng-Li Lin, Alex Tse, Hong-Yu Chu, Ching-Shiow Tseng

“…However, accurate path planning on the C-Arm AP-view image is difficult. This research studies 2D-3D image registration methods to obtain the optimum transformation matrix between C-Arm and CT image frames. …”
Get full text