Results 1 to 10 of about 371,594 (213)
An optimization-driven hierarchical deep learning approach using the Gray Langurs algorithm for data-driven seismic activity prediction [PDF]
The statistical prediction of seismic activity patterns from historical earthquake catalog data remains a major challenge in data-centered seismic hazard analysis because seismic time series are non-stationary, multi-scale, and clustered in nature ...
Mahmoud Shabrawy +3 more
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Identifying Gaps between Importance and Satisfaction to Identify Extension Clients’ Needs
This is the third document the Importance-performance Analysis series, a series of three about using Importance-performance analyis (IPA) to prioritize Extension resources.
Anil Kumar Chaudhary, Laura A. Warner
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Visually Plotting Importance and Satisfaction to Identify Extension Clients’ Needs
This is the second document in the Importance-performance Analysis series, a series of three about using importance-performance analysis (IPA) to prioritize Extension resources.
Anil Kumar Chaudhary, Laura A. Warner
doaj +5 more sources
Importance-performance analysis, or IPA, measure how people feel about certain characteristics of a place, issue, or program. Extension professionals can use IPA to make decisions and prioritize resources by understanding how clients rate the importance
Laura A. Warner, Anil Kumar Chaudhary
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Cultural Evaluation of “Let’s Learn Persian” and “Top Notch” Series as a Foreign Language: Based on Hatoss’ Comprehensive Model [PDF]
Given the role culture plays in second/foreign language learning, paying attention to cultural content in language teaching textbooks is of great importance.
Gholamhossein Shahini, Mojtaba Nazari
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Estimating the Performance Loss Rate of Photovoltaic Systems Using Time Series Change Point Analysis
The accurate quantification of the performance loss rate of photovoltaic systems is critical for project economics. Following the current research activities in the photovoltaic performance and reliability field, this work presents a comparative ...
Andreas Livera +4 more
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Analyzing I/O Characteristics of Time-Series Data Using High Performance Storage Devices
As the importance of data increases, data is continuously collected from diverse sources such as sensors, IoT devices, and edge computing devices. To manage these continuously monitored data, it is often organized chronologically with time which is ...
Sangmyung Lee, Yongseok Son, Sunggon Kim
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Analysis of Weighting Strategies for Improving the Accuracy of Combined Forecasts
This paper deals with the weighted combination of forecasting methods using intelligent strategies for achieving accurate forecasts. In an effort to improve forecasting accuracy, we develop an algorithm that optimizes both the methods used in the ...
José V. Segura-Heras +3 more
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A performance enhancement model for multi-state renewable energy systems is introduced and developed in this paper. This model’s objective is to provide a maintenance decision support, taking into account units’ degradations and system interdependencies.
Nacef Tazi +2 more
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Gravity recovery and climate experiment (GRACE) and GRACE Follow-On (GRACE-FO) are Earth’s gravity satellite missions with hydrological monitoring applications. However, caused by measuring instrumental problems, there are several temporal missing values
Karimi Hamed +3 more
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