Flux Analysis with the Application of Darcy’s Law Based on Borehole Data for Sustainable Groundwater Exploitation by Zul Fadhli, Khaira Khirnica, Muhammad Syukri, Layna Miska, Yurda Marvita, Marwan Marwan, Dian Budi Dharma

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Data Analysis Process Design of High-speed Maglev Dynamic Track Detection System by Junyuan TANG, Jun WU, Honglu LI

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Research on network analysis method for development ability of big data industry in underdeveloped area by Jun-xin SHEN, Ying-qian CHEN

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Self-contained gene-set analysis of expression data: an evaluation of existing and novel methods. by Brooke L Fridley, Gregory D Jenkins, Joanna M Biernacka

“…Multiple approaches for gene set analysis of expression data have been proposed. They can be divided into two types: competitive and self-contained. …”
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Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning by Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani

“…This thorough empirical analysis provides a basis for designing healthcare systems that incorporate privacy considerations into reinforcement learning.…”
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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes multi-source data, and then proposes an improved sentiment analysis framework based on deep transfer learning technology. …”
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Proportional constrained longitudinal data analysis models for clinical trials in sporadic Alzheimer's disease by Guoqiao Wang, Lei Liu, Yan Li, Andrew J. Aschenbrenner, Randall J. Bateman, Paul Delmar, Lon S. Schneider, Richard E. Kennedy, Gary R. Cutter, Chengjie Xiong

“…Abstract Introduction Clinical trials for sporadic Alzheimer's disease generally use mixed models for repeated measures (MMRM) or, to a lesser degree, constrained longitudinal data analysis models (cLDA) as the analysis model with time since baseline as a categorical variable. …”
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Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office by Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani

“…To assess the performance efficiency of decision-making units (DMUs), data envelopment analysis (DEA) is commonly employed. …”
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Electrical Model Analysis for Bifacial PV Modules Using Real Performance Data in Laboratory by Valentina González Becerra, Patricio Valdivia-Lefort, Rodrigo Barraza, Jesús García García

“…This framework aims to establish a common basis for comparison and verify the applicability of each model by contrasting it with experimental data under controlled conditions of irradiance and temperature. …”
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Deep Learning Shield Attitude Prediction Model Based on Grey Correlation Analysis by Ke MAN, Zongxu LIU, Yan SHANG, Zhifei SONG, Xiaoli LIU, Bao SU

“…These 410 sample datasets were divided into a training set and a test set in a 9:1 ratio. The data from rings 968～1 336 formed the training set for the combined model, while the data from rings 1 337～1 377 constituted the test set.Results and Discussions The results showed that the errors between the predicted and actual values of the cutter horizontal displacement, shield tail horizontal displacement, cutter vertical displacement, and shield tail vertical displacement shield attitude parameters of the DWT–LSTM–SVR model were smaller than those of the DWT–LSTM model, DWT–SVR model, and AWT–LSTM–SVR model. …”
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Fine‐tuning established morphometric models through citizen science data by Veronika N. Biskis, Kathy A. Townsend, David L. Morgan, Karissa O. Lear, Bonnie J. Holmes, Barbara E. Wueringer

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Unveiling Flight Operation Hazards’ Interrelation via TEM Model and Network Analysis by Peng He, Zhaoning Zhang, Ruishan Sun

“…The study identifies crew navigation errors as key risk mediators, bridging technical failures and organizational deficiencies. …”
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Meta-Analysis of the Effect of Different Amounts of Cow Manure, Chemical (Nitrogen), and Biological Fertilizers on Some Quantitative and Qualitative Traits of Thyme (Thymus vulgari... by Havva Mahnoudi asl, Mahmoud Mokhtari, Reza Sadrabadi Haghighi, مهدی الهی ترشیزی

“…All the extracted data were transferred to comprehensive meta-analysis software for meta-analysis. …”
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Software and Hardware Control System for Implementing the Balance Error Scoring System by Oksana Blavt, Gennadii Iedynak, Lesia Galamanzhuk, Tetyana Helzhynska, Yurii Kachurak, Yulia Mykhalskа, Liubov Levandovska, Rostyslav Tymkovych

“…The findings indicate that the use of advanced technologies and dependable automated control systems in inclusive physical education for the collection, careful study and analysis of test data ensures the generation of high-quality, trustworthyinformation, which serves as the basis for creating reliable and scientifically sound programs for restoring damaged functions after blast TBI. …”
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Neuromusculoskeletal Control for Simulated Precision Task versus Experimental Data in Trajectory Deviation Analysis by Jean Mendes Nascimento, Camila Taira, Eric Cito Becman, Arturo Forner-Cordero

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The Performance of GPM IMERG Product Validated on Hourly Observations over Land Areas of Northern Hemisphere by Pengfei Lv, Guocan Wu

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Data-Oriented Analysis of Uplink Transmission in Massive IoT System With Limited Channel Information by Jyri Hamalainen, Rui Dinis, Mehmet C. Ilter

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A Potential Density Gradient Dependent Analysis Scheme for Ocean Multiscale Data Assimilation by Hongli Fu, Jinkun Yang, Wei Li, Xinrong Wu, Guijun Han, Yuanfu Xie, Shaoqing Zhang, Xuefeng Zhang, Yingzhi Cao, Xiaoshuang Zhang

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A New Logarithmic Tangent-U Family of Distributions with Reliability Analysis in Engineering Data by Meshayil Meshal Alsolmi

“…To assess the stability of the parameter estimation procedure, we perform a Monte Carlo simulation analysis. The results (numerically as well as graphically) of these simulations demonstration that biases and mean square errors decrease as sample sizes grow, even with smaller samples. …”
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Research on management mode of talent team in E-government based on big data analysis by Shixuan Hao

“…In order to achieve efficient and targeted talent management, a talent team management model oriented towards data mining algorithms was constructed based on the analysis of the management mode and data mining technology of talent teams in e-government. …”
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