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Workload Forecasting Methods in Cloud Environments: An Overview
Published 2023-12-01“…We also examine the particular difficulties and factors involved in LSTM-based workload forecasting implementation in cloud systems. We also examine previous research and methods that have employed LSTM networks to forecast workload in cloud systems. …”
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Forecasting Eruptions at Steamboat Geyser: Time Scales, Differentiability, and Detectability of Seismic Precursors Through Data‐Driven Methods
Published 2025-06-01“…We applied isotonic regression, a method that converts raw model outputs into calibrated probabilities, to improve the interpretability of eruption forecasting outputs. …”
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Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC
Published 2025-01-01“…The proposed method provides an efficient anomaly detection and forecasting scheme for the power system and improves the intelligent management level of the power grid.…”
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Analytical Methods for Assessing and Forecasting Financial Standing of Credit Institutions
Published 2019-02-01“…The objective of the article is to propose a new approach to assessing and forecasting fnancial condition of credit institutions and to early detection of those that have high risks of license revocation. …”
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Applying forecasting methods to accrual-based and cash-based ratio analysis
Published 2025-06-01“…Research Questions: Which of the forecasting methods (SMA, ARIMA, ES) is the most informative? …”
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A Traffic Information Detection Method at Single Intersection Based on Wi-Fi Data
Published 2025-05-01Subjects: “…traffic information detection method…”
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Methods for detection of crises in the economy in the early stages
Published 2017-10-01“…The object of the study was the crisis situation of the individual assets, as well as methods of detecting the crisis at an early stage.…”
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High-Speed Robust Dynamic Positioning and Tracking Method Based on Visual Visible Light Communication Using Optical Flow Detection and Bayesian Forecast
Published 2018-01-01“…Therefore, we propose a novel VLP algorithm based on image sensor (as positioning terminal), exploiting optical flow detection and Bayesian forecast. The proposed optical flow method is used for real-time detection, and solves the problem of blur effect caused by the fast relative movement between the LED and positioning terminal, which would result in location failure in the traditional VLP system with pixel intensity detection. …”
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Two-Stage Systematic Forecasting of Earthquakes
Published 2025-05-01“…Consequently, the seismic process requires regular monitoring and systematic forecasting of strong earthquakes. This study introduces an enhanced iteration of the method of the minimum area of alarm (MMAA), refined to advance earthquake forecasting technology closer to its practical application. …”
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Modeling and forecasting of egg production in india using time series models
Published 2021-12-01“…<p> <b>Results: </b>It is detected that Holt's Linear Trend Model is the best fit model for forecasting. …”
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Advances in AI-based rainfall forecasting: a comprehensive review of past, present, and future directions with intelligent data fusion and climate change models
Published 2025-09-01“…Traditional methods often struggle with the complexity and unpredictability of rainfall patterns across different climates, driving interest in advanced modelling approaches capable of capturing such nonlinear dynamics. …”
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Research Status and Prospect of Torsional Vibration Detection Methods for Rotating Machinery
Published 2021-12-01“…It is expected to provide some reference and guidance for the future research on torsional vibration detection methods of rotating machinery…”
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A real-time PCR method for rapid detection of Gymnodinium sanguineum
Published 2009-03-01“…For detecting the harmful algal bloom (HAB) species sensitively and rapidly, Gymnodinium sanguineum was taken as the object, and the rapid detection method- RFQ-PCR (real-time fluorescent quantitative polymerase chain reaction) technique was applied to the HAB species detection. …”
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Adaptation of k-means to automated forecasting of poorly structured time series of economic dynamics
Published 2025-02-01“…Thus, research in this area is urgent, as confirmed not only by the nature of the series, but also by the need to find more advanced methods of analysis and forecasting. The article provides preliminary analysis, additionally constructing a forecast based on a linear cellular automaton. …”
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