A GRU-Based Model Using GNSS-PWV and Meteorological Data for Forecasting Rainfalls by Longjiang Li, Kefei Zhang, Hong Zhang, Suqin Wu, Dongsheng Zhao, Xiaoming Wang, Andong Hu, Minghao Zhang, Mardina Abdullah

“…As one of the most important parameters for the atmospheric water vapor contents, precipitable water vapor derived from global navigation satellite systems (GNSS) has been a valuable source of information for forecasting rainfall events in recent years due to the distinctive advantages of high accuracy, high temporal–spatial resolution, wide coverage, and low cost of GNSS data. …”
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The average cost of treatment according to lung cancer stage using real-world data by Pedro Aguiar Junior, Pedro De-Marchi, Rafael Paes, Isabella Favato, Gabriela Monte, Tatiane Montella, Filipe Visani, Nathalia Afonso, Izabella Negreiros, Rodrigo Dienstmann, Carlos Gil Ferreira

“…INTRODUCTION: Immunotherapy led to increased survival in advanced non-small cell lung cancer; however, it has also increased treatment costs. In this study, real-world data was used to evaluate the average cost of treatment of patients with lung cancer. …”
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A cohort study of prolactin and non-puerperal mastitis using real world data by Yulian Yin, Haoxin Le, Yifan Cheng, Yuanyuan Zhong, Yiqin Cheng, Bing Wang, Jingjing Wu, Meina Ye, Hongfeng Chen

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Spectroscopic photoacoustic denoising framework using hybrid analytical and data-free learning method by Fangzhou Lin, Shang Gao, Yichuan Tang, Xihan Ma, Ryo Murakami, Ziming Zhang, John D. Obayemi, Winston O. Soboyejo, Haichong K. Zhang

“…In this work, we propose a Spectroscopic Photoacoustic Denoising (SPADE) framework using hybrid analytical and data-free learning method. …”
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Understanding climate-sensitive diseases in Bangladesh using systematic review and government data repository. by Md Iqbal Kabir, Dewan Mashrur Hossain, Md Toufiq Hassan Shawon, Md Mostaured Ali Khan, Md Saiful Islam, As Saba Hossain, Md Nuruzzaman Khan

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Comprehensive analysis of multi‐omics single‐cell data using the single‐cell analyst by Lu Pan, Bufu Tang, Xuan Zhang, Paolo Parini, Roman Tremmel, Joseph Loscalzo, Volker M. Lauschke, Bradley A. Maron, Paola Paci, Ingemar Ernberg, Nguan Soon Tan, Ákos Végvári, Zehuan Liao, Sundararaman Rengarajan, Roman Zubarev, Yuxuan Fan, Xu Zheng, Xinyue Jian, Ren Sheng, Zhenning Wang, Xuexin Li

“…This robust tool accommodates datasets of varying sizes, completing analyses within minutes to hours depending on the data volume, and ensures efficient use of computational resources. …”
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Biological age prediction in schizophrenia using brain MRI, gut microbiome and blood data by Rui Han, Wei Wang, Jianhao Liao, Runlin Peng, Liqin Liang, Wenhao Li, Shixuan Feng, Yuanyuan Huang, Lam Mei Fong, Jing Zhou, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu

“…The study of biological age prediction using various biological data has been widely explored. …”
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Interpretable Machine Learning for Legume Yield Prediction Using Satellite Remote Sensing Data by Theodoros Petropoulos, Lefteris Benos, Remigio Berruto, Gabriele Miserendino, Vasso Marinoudi, Patrizia Busato, Chrysostomos Zisis, Dionysis Bochtis

“…To bridge this literature gap, an interpretable ML framework was developed for predicting lupin yield using Sentinel-2 remote sensing data integrated with georeferenced yield measurements. …”
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General context and relevant public datasets available for improving pathways in Paediatric Cancer applying Artificial Intelligence. A review by Gustavo Hernández-Peñaloza, Silvia Uribe, Francisco Moreno García, Norbert Graf, Federico Álvarez

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Ensuring the basic rights in fighting against corruption using Big Data in the People’s Republic of China: the main laws, risks and paths by R. Hu

“…Due to the fact that Big Data processing technologies are constantly updated and the data protection system is lagging behind, an imbalance has existed for some time, the so-called data scissors; in the traditional sense - the tension is growing between the fight against corruption using Big Data and the protection of citizens’ fundamental rights. …”
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Evaluating the Performance of Irrigation Using Remote Sensing Data and the Budyko Hypothesis: A Case Study in Northwest China by Dingwang Zhou, Chaolei Zheng, Li Jia, Massimo Menenti, Jing Lu, Qiting Chen

“…Building on the green–blue water concept, consumptive water use, assumed equal to actual evapotranspiration (ET_a), was partitioned into green ET (GET) and blue ET (BET) using remote sensing data and the Budyko hypothesis. …”
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Multi-label text classification via secondary use of large clinical real-world data sets by Sai Pavan Kumar Veeranki, Akhila Abdulnazar, Diether Kramer, Markus Kreuzthaler, David Benjamin Lumenta

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Classification of Subdivision Land Use and Land Cover Using Deep Learning Models by Bongseok Jeong, Sunmin Lee, Moung-jin Lee

“…Therefore, self-learning data is expected to be utilized in various studies using land cover.…”
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A Model for Hourly Solar Radiation Data Generation from Daily Solar Radiation Data Using a Generalized Regression Artificial Neural Network by Tamer Khatib, Wilfried Elmenreich

“…This paper presents a model for predicting hourly solar radiation data using daily solar radiation averages. The proposed model is a generalized regression artificial neural network. …”
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Using object-oriented databases in face recognition by X. C. Dong, V. I. Ionin

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Increasing the reliability and speed of data transmission in the rayleigh channel through the use of combining intermittent data transmission with diversity reception with optimal... by I. M. Andrianov, I. G. Kiselev, M. N. Andrianov

“…The paper discusses a method for increasing the reliability of data transmission under conditions of Rayleigh signal fading using the modes of combining intermittent radiation and coherent diversity reception of phase-keyed signals with optimal addition. …”
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Use of Delphi-AHP neutrosophic methods for the analysis of school indicators by Alex Fabian Solano Moreno, Carlos Javier Lizcano Charpeta, Beatrice Del Carmen Viteri Naranjo, Jean Pierre Ramos-Carpio

“…The research focuses on the urgent need to develop more robust models that can handle the uncertainty, imprecision, and ambiguity inherent in educational data. Although previous research has been conducted on the analysis of school indicators, conventional approaches fail to effectively integrate the multiple dimensions and degree of uncertainty of the data. …”
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Stub Signature-Based Efficient Public Data Auditing System Using Dynamic Procedures in Cloud Computing by Paromita Goswami, Neetu Faujdar, Ghanshyam Singh, Kanta Prasad Sharma, Ajoy Kumar Khan, Somen Debnath

“…As a result, the number of cloud users has increased to purchase these convenient and cost-effective services, while Cloud Service Providers (CSP) are also rising to meet this demand for appealing cloud solutions.However, there is one major security issue related to outsourced data on shared cloud storage: its privacy and accuracy cannot be guaranteed as it may be vulnerable to unauthorized access by malicious insiders or hackers from outside sources. …”
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Delimitation of rural and urban areas from spatial data in statistical grids: the province of Jaén (Spain) as a case study by José Domingo Sánchez-Martínez, Antonio Garrido-Almonacid

“…The objective of this work is the elaboration of cartography, independent of administrative boundaries, which collects demographic data, accessibility and major land uses in cells of one square kilometre. …”
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An Early Detection of Asthma Using BOMLA Detector by Md. Abdul Awal, Md. Shahadat Hossain, Kumar Debjit, Nafiz Ahmed, Rajan Dev Nath, G. M. Monsur Habib, Md. Salauddin Khan, Md. Akhtarul Islam, M. A. Parvez Mahmud

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