ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications by A. Bellini, A. Bellini, A. Bellini, H. Diémoz, L. Di Liberto, G. P. Gobbi, A. Bracci, F. Pasqualini, F. Barnaba

“…In this work, we present the ALICENET infrastructure and the specifically developed data processing centralised at CNR-ISAC, converting raw instrumental data into quantitative, quality-controlled information on aerosol properties ranging from attenuated backscatter to aerosol mass and vertical stratifications. …”
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Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research by Usman Ahmad Usmani, Izzatdin Abdul Aziz, Jafreezal Jaafar, Junzo Watada

“…This review article provides a comprehensive analysis of different deep learning techniques for anomaly detection in time-series data, examining their applicability across various industries and discussing the associated challenges. …”
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DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma by Davide Chicco, Luca Oneto, Davide Cangelosi

“…In this study, we retrieved three open datasets containing data from patients diagnosed with neuroblastoma: the Genoa dataset and the Shanghai dataset from the Neuroblastoma Electronic Health Records Open Data Repository, and a dataset from the TARGET-NBL renowned program. …”
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GRACE-FO Satellite Data Preprocessing Based on Residual Iterative Correction and Its Application to Gravity Field Inversion by Shuhong Zhao, Lidan Li

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Application of SMOTE-ENN Method in Data Balancing for Classification of Diabetes Health Indicators with C4.5 Algorithm by Bakti Putra Pamungkas, Muhammad Jauhar Vikri, Ita Aristia Sa'ida

“…Data imbalance in health datasets often leads to decreased performance of classification models, especially in detecting minority classes such as diabetics. …”
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Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case study by Eleanor Van Vogt, Anthony C. Gordon, Karla Diaz-Ordaz, Suzie Cro

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Artificial Vision Systems for Mobility Impairment Detection: Integrating Synthetic Data, Ethical Considerations, and Real-World Applications by Santiago Felipe Luna-Romero, Mauren Abreu de Souza, Luis Serpa Andrade

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Clustering-Based Multiple Imputation via Gray Relational Analysis for Missing Data and Its Application to Aerospace Field by Jing Tian, Bing Yu, Dan Yu, Shilong Ma

“…A large number of scientific researches and industrial applications commonly suffer from missing data. Some inappropriate techniques of missing value treatment compromise data quality, which detrimentally influences the knowledge discovery. …”
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Foaming properties and olfactory profile of fermented chickpea aquafaba and its application in vegan chocolate mousseMendeley Data by Lea Mehren, Lena Elliger, Hanna May, Andreas Schieber, Nadine Schulze-Kaysers

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Application of Improved HF-DBSCAN Algorithm in Analyzing Complex Trajectory Data of Wi-Fi Users in Smart Campus by Likun Li, Kun Yu

“…With the development of wireless network technology and the increasingly widespread application of mobile intelligent terminals, a large amount of wireless network data has been generated in smart campuses. …”
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Application of Historical Comprehensive Multimodal Transportation Data for Testing the Commuting Time Paradox: Evidence from the Portland, OR Region by Huajie Yang, Jiali Lin, Jiahao Shi, Xiaobo Ma

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Power study of goodness of fit tests for the Rayleigh distribution based on the empirical distribution function with application to real data by Hadi Alizadeh Noughabi, Mohammad Shafaei Noughabi

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Recalculation of Manufacturing Industry Production Function with Trade Openness and Human Capital: Multi-Dimensional Panel Data Application by Ergün Aktürk, Yusuf Akan, Sena Gültekin

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A New Discrete Analogue of the Continuous Muth Distribution for Over-Dispersed Data: Properties, Estimation Techniques, and Application by Howaida Elsayed, Mohamed Hussein

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Statistical Analysis of a Generalized Variant of the Weibull Model Under Unified Hybrid Censoring with Applications to Cancer Data by Mazen Nassar, Refah Alotaibi, Ahmed Elshahhat

“…This paper investigates an understudied generalization of the classical exponential, Rayleigh, and Weibull distributions, known as the power generalized Weibull distribution, particularly in the context of censored data. Characterized by one scale parameter and two shape parameters, the proposed model offers enhanced flexibility for modeling diverse lifetime data patterns and hazard rate behaviors. …”
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Development and Application of UAV VR Panoramic Display System for Datengxia Water Project by ZHANG Yao, HUANG Pengjia, ZHU Changfu

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Application of the RUSLE model to estimate water erosion in the southwestern basins of Akre Mountain by Hozan Sadiq Mawlood, Hikmat Abdulazez Hamad Al-Hussainy

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Application of the RFA-XGBoost model in predicting potential complaint users in mobile network by ZHANG Peng, GAO Yuan

“…In order to predict and reduce the occurrence of complaints of mobile network users in advance, the application of multidimensional data analysis in the prediction of potential complaints of mobile network users was deeply studied. …”
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Application of Non-Parametric and Forecasting Models for the Sustainable Development of Energy Resources in Brazil by Gabriela Mayumi Saiki, André Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Guilherme Dantas Bispo, Vinícius Pereira Gonçalves, Clóvis Neumann, Robson de Oliveira Albuquerque, Carlos Alberto Schuch Bork

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Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning by Alessio Maritan, Luca Schenato, Subhrakanti Dey

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