Biochemical Oxygen Demand Prediction Based on Three-Dimensional Fluorescence Spectroscopy and Machine Learning by Xu Zhang, Yihao Zhang, Xuanyi Yang, Zhiyun Wang, Xianhua Liu

“…The water samples were incubated for five days using the national standard method, during which the dissolved oxygen contents and three-dimensional fluorescence spectroscopy data were measured at eight-hour intervals. The maximum fluorescence intensity of three fluorescence components was decomposed and extracted by parallel factor analysis. …”
Get full text

Estimation and Optimization of the Hydrostatic Height of Waterway Embankment Using Taguchi-Based Honey Badger Algorithm by Swarnima Subhadarsini, Debabrata Giri, Sudhanshu Das

“…The confirmatory test was piloted to check the similarity index between the two methods and the outcomes were found to be nearly similar with an error of 2.62%.…”
Get full text

Prediction of super-large diameter shield attitude based on LSTM-Transformer by Linfabao Dai, Wenming Chen, Mingqing Xiao, Wenhao Sun, Zhengzheng Wang

“…The model predicts four key shield attitude parameters and is validated using field data from the Jiangyin-Jingjiang Yangtze river tunnel project, with comparative analysis against existing models. …”
Get full text

Comparison of pre-trained models for domain-specific entity extraction from student report documents by Antonina V. Melnikova, Marina S. Vorobeva, Anna V. Glazkova

“…The effectiveness of the models was evaluated using the F1-score, along with an analysis of common errors. The highest F1-score on the test set was achieved by mBART (93.55%). …”
Get full text

Optimizing axial length estimation for intraocular lens power calculation in phacovitrectomy for macula-off retinal detachment by Sukhum Silpa-archa, Chitchanok Samanwongthai, Variya Nganthavee, Korawin Charoensuk

“…Methods A retrospective analysis of prospectively collected data was conducted at a tertiary hospital from January 2018 to December 2023. …”
Get full text

Toric Intraocular Lenses for the Management of Corneal Astigmatism at the Time of Cataract Surgery by Colm McAlinden, David Janicek

“…Furthermore, the use of an optical biometer that directly measures the posterior corneal curvature and permits automatic toric IOL power determination with modern formulas avoiding the need for manual data entry may reduce the risk of human error and improve visual and refractive outcomes.…”
Get full text

Use of Anionic Surfactant-Modified Activated Carbon for Efficient Adsorptive Removal of Crystal Violet Dye by Rumi Goswami, Amit Kumar Dey

“…The various kinetic studies have shown that pseudo second-order kinetic study best suited with the experimental data. Error analysis and studies of isotherms have shown that the adsorption equilibrium was controlled by Langmuir isotherm study with maximum CV dye adsorption capacity of 235.7 mg/g. …”
Get full text

An Integrated Framework for Implementing Safety-I and Safety-II Principles in Aviation Safety Management by Hyun Woo No, Woo Chang Cha

“…Using the HEAR (human error analysis and reduction) framework, we analyzed three representative aviation cases involving FMS operation, turbulence response, and aircraft energy management through a qualitative multiple-case study design. …”
Get full text

Effect of corporate voluntary disclosure on corporate performance: Evidence from a transitional economy by Mofijul Hoq Masum, Sarkar James Bakul, Hassan Nazmul

“…The study employs the short panel data, fixed model regression, and Panel Corrected Standard Error (PCSE). …”
Get full text

Name Entity Recognition Tasks: Technologies and Tools by Nadezhda Stanislavona Lagutina, Andrey Mikhaylovich Vasilyev, Daniil Dmitrievich Zafievsky

“…The main problems are the lack of datasets in open access, high requirements for computing resources, the lack of error analysis. A promising area of research in NER is the development of methods based on unsupervised techniques or rule-base learning. …”
Get full text

Application of Machine Learning for Estimating the Physical Parameters of Three-Dimensional Fractures by Fadhillah Akmal, Ardian Nurcahya, Aldenia Alexandra, Intan Nurma Yulita, Dedy Kristanto, Irwan Ary Dharmawan

“…Hydrocarbon production in the reservoir depends on fluid flow through its porous media, such as fractures and their physical parameters, which affect the analysis of the reservoir’s physical properties. The fracture’s physical parameters can be measured conventionally by laboratory analysis or using numerical approaches such as simulations with the Lattice Boltzmann method. …”
Get full text

Average Corrosion Rate Prediction Model for Buried Oil and Gas Pipelines Based on SSA-LightGBM by Weigang Fu, Haitao Wang, Kuankuan Zhang, Xia Wang, Kunlun Chen, Chunmei Sun, Zhengwei Wang, Liuyang Song, Niannian Wang

“…The optimized SSA-LightGBM model was then trained, and its performance was rigorously evaluated through error analysis and stability assessment. Results demonstrate that the SSA-LightGBM model achieves exceptional accuracy and stability, with an R2 value of 0.9813 and stability index (Pstd) of 1.1701. …”
Get full text

Measurement of intelligent computing via Levenberg Marquardt algorithm (LMA) for accurate prediction of fluid forces in a transient non-Newtonian thermal flow by Atif Asghar, Rashid Mahmood, Afraz Hussain Majeed, Ahmed S. Hendy, Mohamed R. Ali

“…Fast second-order LMA, a top-tier approach, was used to train the network. Both the Mean Square Error (MSE) and the coefficient of determination (R) provide statistical evidence that the ANN projected values for the drag and lift coefficients and average Nusselt number obtained from the finite element analysis are accurate. …”
Get full text

Computer-Aided Diagnosis Techniques for Brain Tumor Segmentation and Classification Using MRI by Gadicha A. B., Kale Prachi V., Dalvi G. D., Mohod M. M., Pakhale S. C., Khan S. M.

“…This paper presents a comprehensive review of various AI-driven techniques, including traditional ML models, deep convolutional neural networks, and hybrid systems, that have been employed for the automatic detection, segmentation, and categorization of brain tumors using MRI data. A detailed comparative analysis of existing methods is provided based on key performance metrics such as accuracy, sensitivity, specificity, Dice score, and area under the curve. …”
Get full text

Turkish validity and reliability study of the simulation self-report cognitive load measurement tool 2.0 by Hilal Yıldız Çelik, Esra Uğur

“…Expert opinion was obtained for content validity, and a confirmatory factor analysis for construct validity was performed. Cronbach’s alpha coefficient, the split-half method, and item analysis were used to assess the reliability of the tool, and Pearson correlation analysis was used to evaluate relationships between items. …”
Get full text

Advancing In Vivo Molecular Bioimaging With Optimal Frequency Offset Selection and Deep Learning Reconstruction for CEST MRI by Adarsha Bhattarai, Chathumi Samaraweera, Mariano Uberti, Aditya N. Bade, Yutong Liu, Dongming Peng

“…Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) is an emerging non-invasive molecular imaging technique offering significant potential for biomedical research and clinical applications. However, CEST MRI data acquisition requires prolonged scanning times, as data need to be collected at multiple frequency offsets to capture necessary information for accurate analysis of biological compounds. …”
Get full text

Machine learning for automated cause-of-death classification from 2021 to 2022 in Korea: development and validation of an ICD-10 prediction model by Seokmin Lee, Gyeongmin Im

“…The individual entry model yielded 79.51% accuracy (F1-weighted, 0.7741; F1-macro, 0.9250). Error analysis indicated reduced reliability for rare diseases and for specific ICD chapters, which require supplementary administrative data. …”
Get full text

Assessing SWOT's Hydraulic Visibility on the Rhine: Precision Flow Lines and Slope‐Based Flood Wave Propagation Signatures by T. Ledauphin, P.‐A. Garambois, K. Larnier, M. Azzoni, C. Emery, N. Picot, S. Amzil, R. Fjørtoft, J. Maxant, H. Yésou

“…By leveraging in situ networks, we evaluate SWOT products from pixel cloud (PIXC) to reach‐averaged measurements, demonstrating their effectiveness in mapping river surface topography and detecting key hydraulic signatures. The 1‐day Cal/Val data analysis successfully observed flood wave propagation, intumescence, and a rarely observed submersion wave positive slope, underscoring SWOT's value for river hydrology. …”
Get full text

Automated rapid estimation of flood depth using a digital elevation model and Earth Observation Satellite (EOS-04)-derived flood inundation by L. A. Chimata, S. B. Anuvala Setty Venkata, S. V. R. Patlolla, D. R. Korada Hari Venkata, S. Kandrika, P. Chauhan

“…This is the first study to apply the established automatic-tile-based segmentation method and the height above the nearest drainage (HAND) tool to EOS-04 data for flood extent delineation. For flood depth estimation, this study introduces a novel application of the trend surface analysis (TSA) technique, enabling rapid and data-efficient assessment. …”
Get full text

Evaluation of GPR capabilities in the study of seismogenic faulting and deformation in the bottom sediments of Lake Upoloksha (northeast of the Fennoscandian shield) by A. I. Rodionov, S. B. Nikolaeva, P. A. Ryazantsev

“…The positions of the main stratigraphic horizons of the bottom sediments were clarified, and their thicknesses were measured more precisely. The GPR measurement error in comparison to the drilling data did not exceed ±0.2 m, which corresponds to the resolution of the antenna used in the survey. …”
Get full text