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Comparative Study of Time Series Analysis Algorithms Suitable for Short-Term Forecasting in Implementing Demand Response Based on AMI
Published 2024-11-01“…This paper compares four time series forecasting algorithms—ARIMA, SARIMA, LSTM, and SVM—suitable for short-term load forecasting using Advanced Metering Infrastructure (AMI) data. …”
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Applying blood-derived epigenetic algorithms to saliva: cross-tissue similarity of DNA-methylation indices of aging, physiology, and cognition
Published 2025-04-01“…Abstract Background Epigenetic algorithms of aging, health, and cognition, based on DNA-methylation (DNAm) patterns, are prominent tools for measuring biological age and have been linked to age-related diseases, cognitive decline, and mortality. …”
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Research on load labeling method for big data in novel power system
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Unequal relational travel patterns of long-distance rail trips between different levels of settlement hierarchies – Case study from Hungary
Published 2025-05-01“…The study of long-distance travel behaviour has become a prominent field of research on a global scale. Parallel with economic development, the proportion of long-distance trips undertaken by individuals and groups across the globe is increasing. …”
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A Comprehensive Review on Sensor-Based Electronic Nose for Food Quality and Safety
Published 2025-07-01“…Our review found that most of the efforts use portable, low-cost electronic noses, coupled with pattern recognition algorithms, for evaluating the quality levels in certain well-defined food classes, reaching accuracies exceeding 90% in most cases. …”
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Approaches to Extracting Patterns of Service Utilization for Patients with Complex Conditions: Graph Community Detection vs. Natural Language Processing Clustering
Published 2024-08-01“…Method: Working with longitudinal cross-continuum encounter data from a regional health service system, various pattern detection analyses were conducted, employing (1) graph community detection algorithms, (2) natural language processing (NLP) clustering, and (3) a hybrid NLP–graph method. …”
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Multi-temporal investigation of sand wave migration patterns in the Taiwan Bank through fusion of satellite imagery and deep neural networks
Published 2025-09-01“…Leveraging a Visual Geometry Group neural network algorithm, this research combines limited in situ depth measurements with SAR-derived data to reconstruct high-resolution bathymetry. …”
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Role of VATS-US in identifying and characterizing pulmonary nodules: a narrative review
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Generation and Classification of Novel Segmented Control Charts (SCC) Based on Hu’s Invariant Moments and the K-Means Algorithm
Published 2025-08-01“…Finally, a grouping is made to classify the samples in clear and simple language as excellent, good, or regular using the k-means algorithm. The results visually display the total pattern behavior of the samples and their interpretation when they are classified intelligently. …”
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