Analysis and Discussion of Some Key Technical Problems for LWD Ultra-Deep Electromagnetic Resistivity Logging by JIN Ding, ZHU Jun, ZHOU John

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Estimating petrophysical properties using Geostatistical inversion and data-driven extreme gradient boosting: A case study of late Eocene McKee formation, Taranaki Basin, New Zeala... by John Oluwadamilola Olutoki, Mohamed Elsaadany, Numair Ahmed Siddiqui, AKM Eahsanul Haque, Syed Haroon Ali, Alidu Rashid, Oluwaseun Daniel Akinyemi

“…Subsequently, we estimated porosity using various seismic attributes, employing a Data-driven Extreme Gradient Boosting (Xgboost) approach within the reservoir analysis. …”
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Analysis of the development of Oil and Gas Industry in present conditions by E. I. Larionova, T. I. Chinaeva, E. P. Shpakovskaya

“…Based on the results of the economic and statistical analysis of financial indicators, it is possible to identify the main development directions of the oil and gas industry, evaluate positive and negative processes, and determine further prospects.…”
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Remote Sensing Time Series Analysis: A Review of Data and Applications by Yingchun Fu, Zhe Zhu, Liangyun Liu, Wenfeng Zhan, Tao He, Huanfeng Shen, Jun Zhao, Yongxue Liu, Hongsheng Zhang, Zihan Liu, Yufei Xue, Zurui Ao

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Re-evaluation of a geothermal system model based on high-resolution gravity field inversion: A case study of the Maritaing geothermal field, Alor Regency, East Nusa Tenggara Provin... by Rholland A. Boling, Jehunias L. Tanesib, Hadi I. Sutaji, Laura A.S. Lapono, Richard Lewerissa

“…This study applied data corrections to acquire complete Bouguer anomalies, gravity gradient analysis to detect geological structures, and inversion modeling of residual gravity anomalies to predict subsurface rock density distribution. …”
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A Null Space Sensitivity Analysis for Hydrological Data Assimilation with Ensemble Methods by Nick Martin, Jeremy White, Paul Southard

“…A new null space sensitivity analysis for ensemble methods of data assimilation (DA) using observation error models is developed and implemented for an integrated hydrological model. …”
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Illusion of stability: An empirical analysis of inflation data manipulation by russia after 2022 by Alex Plastun, Anna Vorontsova, Yaroslava Slyvka, Olha Yatsenko, Liudmyla Huliaieva, Victor Sukhonos, Ruslan Bilokin

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Inversion of Moho topography in Taiwan using improved Parker-Oldenburg method by Hangtao Yu, Hangtao Yu, Hangtao Yu, Mingming Wen, Mingming Wen, Mingming Wen, Chuang Xu

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A lithofacies modeling method based on a new integrated algorithm and its application by LEI Cheng,CUI Bingkai,ZHAI Guanghua,YE Yu,XU Qingyan,ZHANG Jinlin

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Familial Mediterranean fever association with schizophrenia: insights from big data analysis by Kassem Sharif, Abdulla Watad, Nicola Luigi Bragazzi, Yarden Yavne, Charlie Bridgewood, Dennis McGonagle, Doron Comanhester, Arnon D. Cohen, Howard Amital

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Military Interventions As Omitted Variable Of Inversed Democratic Peace: An Empirical Evidence by Srđan Korać, Nenad Stekić

“…Foreign policy score includes S score dataset developed by Curtis S. Signorino and Jeffrey M. Ritter (1999), while for the political regime quality, the authors deploy Polity IV data. …”
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Spatio-temporal dynamics of water quality and land use in the Lake Dianchi (China) system: A multi-source data-driven approach by Xinyu Wang, Yawen Wu, Samuel A. Cushman, Cheng Tie, Gillian Lawson, László Kollányi, Guifang Wang, Jian Ma, Jingli Zhang, Tian Bai

“…This study examines these interactions in Lake Dianchi by developing an empirical water quality inversion model. …”
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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…The cross entropy loss and Matthews correlation coefficient confirm the reliability of this method for sentiment orientation recognition in multi-source data. The research explores the use of deep transfer learning in multi-source data fusion sentiment analysis, enriches and improves sentiment analysis techniques, and promotes innovation and development of sentiment analysis technology.…”
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Handling Censoring and Censored Data in Survival Analysis: A Standalone Systematic Literature Review by Anthony Joe Turkson, Francis Ayiah-Mensah, Vivian Nimoh

“…The study recognized the worth of understanding the how’s of handling censoring and censored data in survival analysis and the potential biases it might cause if researchers fail to identify and handle the concepts with utmost care. …”
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Fuzzy model-based analysis of user feedback for product development insights by Anna Sudár, Borbála Berki, Ildikó Horváth

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Inversion of multiphase tectonic stress field and fracture evolution in shale gas reservoirs by WANG Jiawei, ZHANG Bohu, HU Yao, HE Zhengyi, HU Xinxin, CHEN Wei, LUO Chao

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Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI by Yanan Li, Jingfa Yao, Wenhui Yang, Zhao Wei, Peng Luan, Guifa Teng

“…This study introduces a non-destructive, quantitative method using low-field MRI to assess moisture mobility and content distribution in cherry tomatoes. This study developed an advanced 3D non-local mean denoising model to enhance tissue feature analysis and applied an optimized TransUNet model for structural segmentation, obtaining multi-echo data from six tissue types. …”
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The crustal structure of Onega-Kandalaksha paleorift identified by complex analysis of the anomalous magnetic field of the White Sea by A. S. Baluev, Yu. V. Brusilovsky, A. N. Ivanenko

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A two-dimensional inverse heat conduction problem for estimating heat source by A. Shidfar, A. Zakeri, A. Neisi

“…Then a sequential algorithm is developed to solve a Volterra integral equation, which has been produced by using unknown source term and overposed data conditions. …”
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