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Churn prediction for SaaS company with machine learning
Published 2025-06-01“…Design/methodology/approach – Through a preprocessing and normalization of data, seven machine learning algorithms were applied. …”
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Ecological footprint analysis as a tool for advancing sustainable development goals (SDGs): Evidence from China
Published 2025-07-01“…This study explores the critical role of Ecological Footprint Analysis in aligning China’s development trajectory with Sustainable Development Goals (SDGs) by investigating the dynamic relationships between renewable energy consumption (REC), CO2 emissions, ecological footprint growth (EFG), governance effectiveness (GE), urbanization (UP), population growth (PG), and GDP per capita (GDPPC). Using time series data from 1995 to 2023, the study applies a Vector Error Correction Model (VECM), Autoregressive Distributed Lag (ARDL) analysis, and Fully Modified Ordinary Least Squares (FMOLS) to capture both long-term equilibrium and short-run dynamics. …”
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2783
A Low-Cost Wireless Monitoring System for Photovoltaic Systems: Performance Analysis and Potential Application in Direct-Current Nanogrids
Published 2025-04-01“…The system, based on an Arduino Nano and Raspberry Pi architecture, captures real-time data on key electrical parameters such as voltage, current, and power, as well as environmental conditions like temperature and irradiance, which are critical factors influencing PV system performance. …”
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2784
GEOLOGICAL INTERPRETATION OF LANDSAT IMAGERY OF NIGERIA’S HAWAL PRECAMBRIAN BASEMENT COMPLEX TERRAIN
Published 2023-01-01“…The aim of the study is to decipher the regional geologic structures based on analysis and to determine the mineralization implications from the landsat lineament data. The total land surface area covered is about 23,674.88 km2 and includes part of the north sector of Yola sedimentary Rift Basin. …”
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2785
Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges
Published 2024-01-01“…Federated Learning (FL) is a promising paradigm for HAR that enables the collaborative training of machine learning models on decentralized devices while preserving data privacy. It improves not only data privacy but also training efficiency as it utilizes the computing power and data of potentially millions of smart devices for parallel training. …”
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2786
Spatial Deep Learning Approach to Older Driver Classification
Published 2024-01-01“…This paper proposes a novel spatial deep-learning approach that leverages Grid-Index based data augmentation to enhance the detection of abnormal driving behaviors. …”
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2787
The goldilocks days represent optimal time-use to prevent obesity, low physical performance, risk and fear of falling in older adults
Published 2025-07-01“…This approach, involving backwards pivot coordinates (bpcs), we provide a clearer interpretation of physical behavior data, offering practical insights for healthy aging. …”
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2788
Bibliometric analysis of transition readiness in adolescents with chronic diseases
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2789
Non-HDL-C and age-stratified mortality risk in the US general population: a population-based cohort study
Published 2025-06-01“…This has important implications for the development of age-specific interventions to reduce mortality associated with non-HDL-C levels.…”
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2790
Prediction of barite scale formation and inhibition in hydrocarbon reservoirs using AI modeling: Focus on different optimization algorithms
Published 2025-06-01“…Additionally, the ELM model successfully estimated over 95 % of the data points, with an applicability domain of 97.82 %. …”
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2791
Indication of Economic Populism in Local Governance: A New Approach for Classifying Populist Behaviour
Published 2025-05-01“…It enriches discourse on economic populism by examining the phenomenon through the lens of short-termism in financial data. …”
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2792
Mass Function of Stellar Black Holes as Revealed by the LIGO–Virgo–KAGRA Observations
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2793
Determining the sensitivity of emergency dispatcher and paramedic diagnosis of stroke: statewide registry linkage study
Published 2022-08-01“…Our aims were to determine the sensitivity of emergency dispatcher and paramedic identification of patients with stroke, the factors associated with correct identification, and whether there were any implications for hospital arrival times. Methods Observational study using patient‐level data from the Australian Stroke Clinical Registry (2015–2017) linked with ambulance and emergency department records for the state of Victoria. …”
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2794
Digitalization of urban multi-energy systems – Advances in digital twin applications across life-cycle phases
Published 2024-12-01“…It then reviews recent advancements in digital twin architectures, energy system data categories, semantic ontologies, and data management solutions, addressing the growing data demands and modelling complexities. …”
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On “Local Theory” Neutrality with Respect to “Meta-Theories” and Data from a Diversity of “Native Speakers”, Including Heritage Speaker Bilinguals: Commentary on Hulstijn (2024)...
Published 2025-04-01“…Second, we address the theory’s treatment of heritage speaker bilinguals (HSs), particularly the implication that they may not typically acquire BLC. …”
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Green supply chain management and SMEs sustainable performance in developing country: role of green knowledge sharing, green innovation and big data-driven supply chain
Published 2025-04-01“…Four hundred sixty-nine cases were considered for data analysis after data clearing in SPSS version 25. …”
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