Confident Learning-Based Label Correction for Retinal Image Segmentation by Tanatorn Pethmunee, Supaporn Kansomkeat, Patama Bhurayanontachai, Sathit Intajag

“…<b>Background/Objectives:</b> In automatic medical image analysis, particularly for diabetic retinopathy, the accuracy of labeled data is crucial, as label noise can significantly complicate the analysis and lead to diagnostic errors. …”
Get full text

Research on the Inversion of Key Growth Parameters of Rice Based on Multisource Remote Sensing Data and Deep Learning by Jian Li, Jian Lu, Hongkun Fu, Wenlong Zou, Weijian Zhang, Weilin Yu, Yuxuan Feng

“…Data analysis and parameter prediction were conducted using a variety of machine learning and deep learning models including Partial Least Squares (PLSs), Support Vector Machine (SVM), Random Forest (RF), and Long Short-Term Memory Networks (LSTM), among which the LSTM model demonstrated superior performance, particularly at multiple critical time points. …”
Get full text

Data-driven prediction of rate of penetration (ROP) in drilling operations using advanced machine learning models by Guoli Huang, Sarah Kanaan Hamzah, Pinank Patel, T. Ramachandran, Aman Shankhyan, A. Karthikeyan, Dhirendra Nath Thatoi, Deepak Gupta, S. AbdulAmeer, Mariem Alwan, Zahraa Saad Abdulali, Mahmood Jasem Jawad, Hiba Mushtaq, Mohammad Mahtab Alam, Hojjat Abbasi

Get full text

On Joint Progressively Censored Gumbel Type-II Distributions: (Non-) Bayesian Estimation with an Application to Physical Data by Mustafa M. Hasaballah, Mahmoud E. Bakr, Oluwafemi Samson Balogun, Arwa M. Alshangiti

“…The analysis confirms that the Gumbel Type-II distribution with joint progressive censoring provides a flexible and effective model for lifetime data, enabling more accurate reliability assessment and risk analysis in engineering and survival studies.…”
Get full text

Augmenting insights into heat transfer performance of direct-contact evaporator: An interpretable data-driven hybrid strategy by Yinzhen Tan, Bo Yu, Jianxin Pan, Wuliang Yin, Min Wang, Hua Wang, Kai Yang, Qingtai Xiao

“…Compared to eleven comparative model, ICEEMDAN-FE-LSSVM-VHTC owns excellent accuracy since average absolute error decreases by 21.4 %–70.9 %, mean square error decreases by 62.5 %–94.5 %, root mean square error decreases by 16.7 %–67.9 %, and coefficient of determination increases by 1.9 %–58.0 %. …”
Get full text

A Behavioral and fNIRS Comparative Study of Gender and Task Differences in Mental Rotation Among Primary Students by Dandan Wu, Jinfeng Yang, Zhi Hong Wan, Yining Shen, Qianming Liu, Jinghui Zhang, Simin Cao, Hui Li

“…Conclusion The discrepancy between behavioral and fNIRS findings reveals a tendency in behavioral studies to accept a false negative, resulting in Type II errors. While neuroimaging data indicate substantial differences not reflected in behavioral measures, this challenges the reliability of null results typically associated with traditional behavioral paradigms. …”
Get full text

Study for Predicting Land Surface Temperature (LST) Using Landsat Data: A Comparison of Four Algorithms by Elhadi K. Mustafa, Yungang Co, Guoxiang Liu, Mosbeh R. Kaloop, Ashraf A. Beshr, Fawzi Zarzoura, Mohammed Sadek

Get full text

Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction by L. Raymond Guo, Jifu Tan, M. Courtney Hughes

“…IntroductionPublic health data analysis is critical to understanding disease trends. …”
Get full text

Rainfall data modeling using improved adaptive type-II progressively censored Weibull-exponential samples by Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat

“…Apart from the standard method, the Bayesian methodology is investigated to obtain the Bayesian point and credible intervals by taking advantage of the Markov chain Monte Carlo technique and the squared error loss function. To differentiate between the traditional and Bayesian estimates, a simulation analysis proceeds under various conditions. …”
Get full text

Intelligent fault diagnosis and operation condition monitoring of transformer based on multi-source data fusion and mining by Jingping Cui, Wei Kuang, Kai Geng, Pihua Jiao

“…In order to achieve the prognostics and health management of the transformer, a novel intelligent fault diagnosis of the transformer based on multi-source data fusion and correlation analysis is proposed. …”
Get full text

Evaluating different translation methods: a case study of Chinese graduate students in an MTI program by Tingting Lei, Jeroen van de Weijer

“…Lexical and grammatical mistakes accounted for the highest proportion of errors in the different translated texts and after data and textual analysis different PE styles were identified. …”
Get full text

Study on free oscillations of a micromechanical gyroscope taking into account the nonorthogonality of the torsion axes by M. R. Saypulaev, I. V. Merkuryev, A. V. Solovyev, A. N. Tarasov

“…The solution to the equations of small oscillations of the gyroscope sensing element and the estimate of the precession angle for the case of a movable base are obtained. A comparative analysis of the developed model and the experimental data obtained in the case of free oscillations of the gyroscope sensing element with a fixed base is carried out. …”
Get full text

Filling the data gap between GRACE and GRACE-FO based on a two-step reconstruction method by Fengmin Hu, Beibei Yang, Zushuai Wei, Changlu Cui, Lingkui Meng

“…The Gravity Recovery and Climate Experiment (GRACE) satellite mission provides large-scale and high-stability terrestrial water storage anomaly (TWSA) data for water resource analysis. However, an 11-month data gap exists between the two generations of gravity satellites, GRACE and GRACE Follow-On (July 2017 to May 2018), posing challenges for TWSA analysis and applications. …”
Get full text

Using Cognitive Interviewing to Test Youth Survey and Interview Items in Evaluation: A Case Example by Elisa LaPietra, Jennifer Brown Urban, Miriam R. Linver

“…An iterative design was used with cognitive interviewing testing rounds, analysis, and revisions. Data Collection and Analysis: The cognitive interview was administered by phone to 10 male youth, five from the 10-13-year-old age range and five from the 15-17-year-old age range. …”
Get full text

Noise estimation in medical images based on fast discrete curvelet transform via wrapping by R. Girija, H. Singh, G. Abirami

Get full text

Application of data twinning based on deep time series model in smart city traffic flow prediction by Li Gao

“…The system implements dynamic feedback adjustment to optimize the model in real time according to the prediction error. Empirical analysis shows that the LSTM model with integrated data twin (LSTM + DT) outperforms the traditional model in prediction accuracy, stability, and generalization ability, especially in peak hours, holidays, and emergency response, and provides a reliable solution for intelligent traffic management despite the long training time.…”
Get full text

A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…Abstract In the field of Structural Health Monitoring (SHM), complete datasets are fundamental for modal identification analysis and risk prediction. However, data loss due to sensor failures, transmission interruptions, or hardware issues is a common problem. …”
Get full text

Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM. by Judita Rudokaite, Sharon Ong, Itir Onal Ertugrul, Mart P Janssen, Elisabeth Huis In 't Veld

“…We filmed 287 blood donors throughout the blood donation procedure where we obtained 1945 videos for data analysis. We compared 5 different sequences of videos-45, 30, 20, 10 and 5 seconds to test the shortest video duration required to predict VVR levels. …”
Get full text

A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data by Guang-Hui Fu, Min-Jie Zong, Feng-Hua Wang, Lun-Zhao Yi

“…Elastic net (Enet) and sparse partial least squares (SPLS) are frequently employed for wavelength selection and model calibration in analysis of near infrared spectroscopy data. Enet and SPLS can perform variable selection and model calibration simultaneously. …”
Get full text

Gain efficiency with streamlined and automated data processing: Examples from high-throughput monoclonal antibody production. by Malwina Kotowicz, Magdalena Shumanska, Sven Fengler, Birgit Kurkowsky, Anja Meyer-Berhorn, Elisa Moretti, Josephine Blersch, Gisela Schmidt, Jakob Kreye, Scott van Hoof, Elisa Sánchez-Sendín, S Momsen Reincke, Lars Krüger, Harald Prüß, Philip Denner, Eugenio Fava, Dominik Stappert

“…With growing acquisition of biological data and the expanding automatization of laboratory workflows, manual processing of sample data is no longer favorable, as it is time- and resource-consuming, prone to biases and errors, and lacks scalability and standardization. …”
Get full text