Construction and application of an index system for evaluating the operation of community (village) public health committees in Guangzhou city: a Delphi study by Diqiong HE, Lili SUN, Ke LI, Yuan LIU, Guanyang ZOU

“…The combined weights ranged from 0.121 to 0.417 for the primary indicators, 0.016 to 0.163 for the secondary indicators, and 0.009 to 0.072 for the tertiary indicators. Analysis of data from a sample survey of 40 community (village) health committees showed that the established index system could effectively differentiate the functional levels of different committees, and the reliability and validity of the index system were good (Cronbach′s alpha was 0.864, and the cumulative variance contribution rate of common factors reached 87.721%). …”
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Empowering MSMEs with Data-Driven Insights: Mobile Sales Dashboard Application for MSMEs by Zalina Fatima Azzahra, Riska Yanu Fa'rifah, Syfa Nur Lathifah

“… Micro, Small, and Medium Enterprises (MSMEs) in Indonesia have made a large contribution to GDP and the workforce but still face challenges in managing sales data and making data-driven decisions. Manual recording often causes operational inefficiencies, recording errors, and delays in business analysis. …”
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Data-driven FMEA approach for hazard identification and risk evaluation in digital health by Hafiz Muhammad Waseem, Saif Ul Islam, Stuart Harrison, Gregory Epiphaniou, Nikolaos Matragkas, Theodoros N. Arvanitis, Carsten Maple

“…Abstract The increasing digitization of healthcare data systems presents substantial opportunities for enhancing patient care and operational efficiency, while simultaneously introducing critical vulnerabilities such as unauthorized access, inconsistent data formats, and privacy breaches. …”
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Data mining model for the study of the system of quotas for the catch of aquatic biological resources by A. V. Oleinikova, A. A. Oleinikov

“…In the present study, methods of data mining analysis, analysis of statistical data were used. …”
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Integrated framework for assessing green efficiency in European union countries: A hybrid ISM-NDEA approach by Afarin Rezaei, Hoda Moradi, Alireza Anvari

“…Recognizing the need for a method to assess environmental and economic efficiency, this study introduces an innovative hybrid approach that combines Interpretive Structural Modeling (ISM) with Network Data Envelopment Analysis (NDEA), offering a refined framework for measuring green efficiency that addresses both environmental and economic dimensions. …”
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Innovative data techniques for centrifugal pump optimization with machine learning and AI model. by Gaurav Sandeep Dave, Amar Pradeep Pandhare, Atul Prabhakar Kulkarni, Dhananjay Vasant Khankal

“…Key techniques include Exploratory Data Analysis (EDA), Data Visualization, and Feature Engineering (FE), which collectively enhance data interpretability. …”
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Predicting and analyzing ferry transit delays using open data and machine learning by Malek Sarhani, Abtin Nourmohammadzadeh, Stefan Voß, Mohammed EL Amrani

“…Our approach leverages General Transit Feed Specification (GTFS) data, ridership and vessel information, and hourly weather data, combined with SHAP explainable artificial intelligence analysis to assess key delay determinants. …”
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BankNet: Real-Time Big Data Analytics for Secure Internet Banking by Kaushik Sathupadi, Sandesh Achar, Shinoy Vengaramkode Bhaskaran, Nuruzzaman Faruqui, Jia Uddin

“…This paper introduces BankNet, a predictive analytics framework integrating big data tools and a BiLSTM neural network to deliver high-accuracy transaction analysis. …”
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Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data by Kaisheng Zhang, Daniel (Jian) Sun, Suwan Shen, Yi Zhu

“…With the development of in-vehicle data collection devices, GPS trajectory has become a priority source to identify traffic congestion and understand the operational states of road network in recent years. …”
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Synthetic healthcare data utility with biometric pattern recognition using adversarial networks by Adil O. Khadidos, Hariprasath Manoharan, Alaa O. Khadidos, Shitharth Selvarajan, Subhav Singh

“…Abstract This research examines the significance of privacy of synthetic data in healthcare and biomedicine by an analysis of actual data. …”
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Data Reduction in Proportional Hazards Models Applied to Reliability Prediction of Centrifugal Pumps by Marc Vila Forteza, Diego Galar, Uday Kumar, Kai Goebel

“…Standard Principal Component Analysis (PCA) and sparse robust PCA methods were used for data reduction to simplify the fitted models and minimize overfitting. …”
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Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies by Nuray Vakitbilir, Abrar Islam, Alwyn Gomez, Kevin Y. Stein, Logan Froese, Tobias Bergmann, Amanjyot Singh Sainbhi, Davis McClarty, Rahul Raj, Frederick A. Zeiler

“…Additionally, machine learning models offer great flexibility, allowing different models to be combined synergistically to address complex challenges in sensor-based data analysis. Ensemble learning techniques, which aggregate predictions from diverse models, further enhance predictive accuracy and robustness. …”
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Evaluation of the Effectiveness of Lightweight Encryption Algorithms on Data Performance and Security on IoT Devices by Damar Indrajati, Wahid Miftahul Ashari

“…Data security remains a major concern in the Internet of Things (IoT) landscape due to the inherent limitations in computational power, memory capacity, and energy availability of IoT devices. …”
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Assessing the utility of live data streams across existing and planned university buildings by William Markiewicz, Vince Wilczynski, Julie Dorsey, Duncan Wilson, Clifford Elwell

“…Using data from the building’s building management systems and energy monitoring software, operational building data analysis was carried out on buildings in London and New Haven. …”
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Energy Market Manipulation via False-Data Injection Attacks: A Review by Ghadeer O. Alsharif, Christos Anagnostopoulos, Angelos K. Marnerides

“…This work presents a comprehensive review of FDIAs aimed at manipulating LMPs, a key pricing mechanism in modern energy markets. A detailed analysis was conducted to identify vulnerabilities arising from both the energy system infrastructure and market operations. …”
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Review of Pre-processing Techniques for Meteorological Satellite Data Assimilation in Numerical Prediction by Ma Gang, Huang Jing, Gong Xinya, Xi Shuang, Xue Lei, Li Juan, Zhang Peng, Gong Jiandong

“…In the assimilation pre-processing of Fengyun satellite data, the assimilation prequality control of multi-spectral data fusion is achieved by front-loading cloud and precipitation detection, data analysis, analysis and other processing into the assimilation pre-processing, which ensures the positive assimilation contribution of Fengyun microwave temperature sounding data and infrared hyperspectral data. …”
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Data Quality Improvement Method for Power Equipment Condition Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization by JI Rong, HOU Huijuan, SHENG Gehao, ZHANG Lijing, SHU Bo, JIANG Xiuchen

“…However, equipment failures and personnel errors result in dirty data, having a negative effect on data quality and subsequent analysis results. …”
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Risk factors associated with poor pain outcomes following primary knee replacement surgery: Analysis of data from the clinical practice research datalink, hospital episode statisti... by Hasan Raza Mohammad, Rachael Gooberman-Hill, Antonella Delmestri, John Broomfield, Rita Patel, Joerg Huber, Cesar Garriga, Christopher Eccleston, Rafael Pinedo-Villanueva, Tamer T Malak, Nigel Arden, Andrew Price, Vikki Wylde, Tim J Peters, Ashley W Blom, Andrew Judge

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Integrating wide-swath altimetry data into Level-4 multi-mission maps by M. Ballarotta, C. Ubelmann, V. Bellemin-Laponnaz, F. Le Guillou, G. Meda, C. Anadon, A. Laloue, A. Delepoulle, Y. Faugère, M.-I. Pujol, R. Fablet, G. Dibarboure

“…However, in a hypothetical scenario where a reduced nadir altimetry constellation is envisioned to be operational by 2030, the significance of wide-swath data in mapping becomes more pronounced. …”
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The Impact of Digitalization on the Financial Performance of Russian Companies by V. A. Cherkasova, G. A. Slepushenko

“…The authors used regression analysis of data from 482 companies from 20 industries for the period 2017–2019 as a research method for testing the hypotheses. …”
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