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Auxiliary Information-Enhanced Recommendations [PDF]
Sequential recommendations have attracted increasing attention from both academia and industry in recent years. They predict a given user’s next choice of items by mainly modeling the sequential relations over a sequence of the user’s interactions with ...
Shoujin Wang +3 more
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Neutrosophic Estimators in Two-Phase Survey Sampling [PDF]
Point estimates in survey sampling only provide a single value for the parameter being studied and are consequently vulnerable to changes caused by sampling error.
Vinay Kumar Yadav, Shakti Prasad
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This paper presents a concurrent topology optimization of multi-scale composite structures subjected to general time-dependent loads for minimizing dynamic compliance.
Xudong Jiang +3 more
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Vision Transformer-Based Photovoltaic Prediction Model
Sensing the cloud movement information has always been a difficult problem in photovoltaic (PV) prediction. The information used by current PV prediction methods makes it challenging to accurately perceive cloud movements.
Zaohui Kang +5 more
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A new method for modelling precipitation variability in relation to climate change
Climate change is one of the main consequences of anthropogenic activities. Since the 1950s, gradual changes and an increase in climate warming have been observed.
Sadia Qamar +2 more
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An Enhanced Auxiliary Information‐Based EWMA‐t Chart for Monitoring the Process Mean
The exponentially weighted moving average t chart using auxiliary information (AIB-EWMA-t chart) is an effective approach for monitoring small process mean shifts when the process standard deviation is unstable or poorly estimated. To further enhance the
Jen‐Hsiang Chen, Shin‐Li Lu
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Benefits of past inventory data as prior information for the current inventory [PDF]
When auxiliary information in the form of airborne laser scanning (ALS) is used to assist in estimating the population parameters of interest, the benefits of prior information from previous inventories are not self-evident.
Gobakken, Terje +2 more
core +1 more source
Estimation of quantile regression model without longitudinal data and with auxiliary information
In order to study the estimation of the quantile regression model with missing longitudinal data and auxiliary information, the parameter estimation and asymptotic normality of linear quantile regression model are given by using inverse probability ...
Yuting ZHANG +2 more
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Regional drought assessment using improved precipitation records under auxiliary information
Changes in the climate and weather conditions, as well as rising earth’s average temperature are likely to escalate deterioration of global drought occurrence. Drought is considered an interwoven natural disaster composed by a number of different factors,
He Jiang +5 more
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Social Recommendation Based on Multi-Auxiliary Information Constrastive Learning
Social recommendation can effectively alleviate the problems of data sparseness and the cold start of recommendation systems, attracting widespread attention from researchers and industry.
Feng Jiang +5 more
doaj +1 more source

