Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil by Luan P. Venancio, Fernando F. da Cunha, Everardo C. Mantovani, Gilberto C. Sediyama, Fernando C. Eugenio, Catariny C. Aleman

“…However, its use requires a series of meteorological variables that is not normally available, restricting its application in many locations. A solution to the problem of unavailability of meteorological data was presented in FAO Bulletin 56, which contains methodologies for estimating wind speed, solar radiation and relative humidity. …”
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Microgrid Resilience Enhancement with Sensor Network-Based Monitoring and Risk Assessment Involving Uncertain Data by Tangxiao Yuan, Kossigan Roland Assilevi, Kondo Hloindo Adjallah, Ayité Sénah A. Ajavon, Huifen Wang

“…It begins by defining the specific connotation of microgrid resilience and then proposes an innovative solution centered on the use of advanced sensor technology to continuously monitor the microgrid and its operational environment, ensuring accurate and timely data collection under dynamic conditions. Subsequently, a decision risk assessment framework is constructed, integrating data quality evaluation and operational risk considerations, to drive strategy optimization through in-depth data analysis. …”
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Updating TCGA glioma classification through integration of molecular data following the latest WHO guidelines by Mónica Leiria de Mendonça, Roberta Coletti, Céline S. Gonçalves, Eduarda P. Martins, Bruno M. Costa, Susana Vinga, Marta B. Lopes

“…Abstract The understanding of glioma disease has significantly advanced through the application of genetic and molecular profiling techniques on brain tumour tissue. …”
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Using IoT Protocols in Real-Time Systems: Protocol Analysis and Evaluation of Data Transmission Characteristics by Andrei Gavrilov, Marlen Bergaliyev, Sergey Tinyakov, Kirill Krinkin, Pavel Popov

“…The behavior of software solutions is analyzed and a comparative analysis is made based on the obtained data. Together, the theoretical analysis of protocols and the study of software solutions allow us to conclude on the applicability of a particular protocol in real-time systems. …”
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Falwa: Python Package to Implement Finite‐Amplitude Local Wave Activity Diagnostics on Climate Data by Clare S. Y. Huang, Christopher Polster, Noboru Nakamura

“…This open‐source project aims to promote the broader application of FALWA diagnostics on climate data and model outputs by streamlining complex numerical computations.…”
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A Data Transmission Scheme Based on Time-Evolving Meeting Probability for Opportunistic Social Network by Fu Xiao, Guoxia Sun, Jia Xu, Lingyun Jiang, Ruchuan Wang

“…Efficient data transmission strategy is one of the most important issues to ensure its applications. …”
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

“…Simulation studies demonstrate that the proposed methods yield superior variable selection and predictive performance compared to traditional and outcome-specific approaches, while remaining robust to violations of the common predictor assumption. In an application to advanced prostate cancer data, the framework identifies both established clinical factors and potentially novel prognostic single-nucleotide polymorphisms for overall and progression-free survival. …”
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Data analysis method of pump shutdown pressure based on water hammer effect and cepstrum transformation by WANG Xiaoqiang,ZHAO Li’an,WANG Zhiyuan,XIU Chunhong,JIA Guolong,DONG Yan,LU Detang

“…In this paper, the simulated pressure data are obtained by numerically solving the governing equation of wellbore water hammer. …”
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Secure healthcare data sharing and attack detection framework using radial basis neural network by Abhishek Kumar, Priya Batta, Pramod Singh Rathore, Sachin Ahuja

“…However, it is still unclear how to provide a security architecture that can guarantee the privacy and safety of sensitive medical data. Existing methods are application-specific and fail to take into account the complex security needs of healthcare applications. …”
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A Data-Driven Analysis of Engineering Contract Risk Characterization Based on Judicial Cases of Disputes by Yongcheng Zhang, Ziyi Wu, Chaohua Xiong, Jianwei Wang, Maxwell Fordjour Antwi-Afari

“…This study systematically analyzes 349 s-instance judicial cases related to construction engineering contract disputes in the Yangtze River Delta Economic Zone from 2017 to 2021, based on data obtained from the China Judgments Online database. …”
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Serological data indicate a widespread presence of rabbit haemorrhagic disease in rabbit farms in Algeria by Samia Maziz-Bettahar, Lynda Sahraoui, Hichem Lahouassa, Hacina Ainbaziz, Patrizia Cavadini, Antonio Lavazza, Lorenzo Capucci

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Vehicle Traffic Estimation Using Deep Learning by Meetkumar Patel, Daniel Silver

“…These values are used to estimate traffic flowrate and density for hourly records over a three-month period. The hourly traffic data is combined with observed and forecasted weather data, and special event data to create a time series data. …”
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Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data by Conor T. Doherty, Meagan S. Mauter

“…First, we use FDA to demonstrate the time dependence of information contained in remotely sensed data. Where curve-fitting and other commonly used data transformations are sensitive to variation throughout a full time series, we show how FDA identifies application-relevant variation in specific variables at specific points in time. …”
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Data-driven models for significant wave height forecasting: Comparative analysis of machine learning techniques by Ahmet Durap

“…This improvement in prediction accuracy supports the model's application for coastal management, ensuring better forecasting of wave conditions. …”
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Freight Demand Distribution in a Suburban Area: Calibration of an Acquisition Model with Floating Car Data by Giuseppe Battaglia, Giuseppe Musolino, Antonino Vitetta

“…In order to obtain reliable results, it is necessary to combine TSMs and ICTs as observed data could feed Transport System Models and could allow their calibration and therefore their application in real cases. …”
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Topic Modeling Approach on Twitter Data Relevant to Political Changes During the COVID-19 Pandemic by M. G. D. S. Hansika, K. S. Ranasinghe, R. A. H. M. Rupasingha

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A framework for prospective, adaptive meta-analysis (FAME) of aggregate data from randomised trials. by Jayne F Tierney, David J Fisher, Claire L Vale, Sarah Burdett, Larysa H Rydzewska, Ewelina Rogozińska, Peter J Godolphin, Ian R White, Mahesh K B Parmar

“…These principles are illustrated via a hypothetical review and their application to 3 published systematic reviews.<h4>Conclusions</h4>FAME can reduce the potential for bias, and produce more timely, thorough and reliable systematic reviews of aggregate data.…”
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Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets by Ricard Argelaguet, Britta Velten, Damien Arnol, Sascha Dietrich, Thorsten Zenz, John C Marioni, Florian Buettner, Wolfgang Huber, Oliver Stegle

“…MOFA identified major dimensions of disease heterogeneity, including immunoglobulin heavy‐chain variable region status, trisomy of chromosome 12 and previously underappreciated drivers, such as response to oxidative stress. In a second application, we used MOFA to analyse single‐cell multi‐omics data, identifying coordinated transcriptional and epigenetic changes along cell differentiation.…”
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Data driven multi-objective optimization of sustainable aviation emergency network for forest fire rescue by Jun Huang, Qiuhong Zhao

“…In this paper, based on remote sensing information and other multi-party data, a two-stage multi-objective stochastic optimization model of sustainable aviation emergency network for forest fire rescue is presented. …”
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High-fidelity in silico generation and augmentation of TCR repertoire data using generative adversarial networks by Piotr Religa, Michel-Edwar Mickael, Norwin Kubick, Jarosław Olav Horbańczuk, Nikko Floretes, Mariusz Sacharczuk, Atanas G. Atanasov

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