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2281
Survivability Prediction of Open Source Software with Polynomial Regression
Published 2024-03-01“…In this paper, we conduct data collection and extraction, generating model, and model testing and evaluation to predict survivability using these data. …”
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2282
Fixed wh-expressions in classroom second language acquisition: databases of computational properties or utterance schemas?
Published 2023-12-01“…From this, we argue that such a unified account of learners’ L2 development can offer a better description of the trends observed in the corpus than either usage-based or generative models can do independently.…”
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2283
Supervised diagnostic classification of cognitive attributes using data augmentation.
Published 2024-01-01“…This method is designed to utilize the augmented data using a data generation model constructed by leveraging the probability of correct responses for each attribute mastery pattern derived from the expert-labeled dataset. …”
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2284
Hydrometeorological Conditions of the Volga Flow Generation into the Caspian Sea during the Last Glacial Maximum
Published 2023-02-01“…The second approach is based on the spatially distributed process-based runoff generation model using PMIP4-CMIP6 model data as boundary conditions. …”
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2285
Functional traits predict species co‐occurrence patterns in a North American Odonata metacommunity
Published 2023-12-01“…Then, we used machine learning to generate models which proved capable of predict accurately the observed co‐occurrence patterns from species functional traits. …”
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2286
A Wasserstein Generative Adversarial Network–Gradient Penalty-Based Model with Imbalanced Data Enhancement for Network Intrusion Detection
Published 2023-07-01“…Experimental results revealed that the WGAN-GP generation model is the most effective for detecting sparse data probes. …”
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2287
Unsupervised inference approach to facial attractiveness
Published 2020-10-01“…The application of such generative models to the supervised classification of the gender of the subject that sculpted the face reveals that it may be predicted with astonishingly high accuracy. …”
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2288
Automatic High-Accuracy Sea Ice Mapping in the Arctic Using MODIS Data
Published 2021-02-01“…In this paper, an ice map generation model based on Moderate-Resolution Imaging Spectroradiometer (MODIS) reflectance bands is constructed to obtain sea ice data with a high temporal and spatial resolution. …”
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2289
A Method for Retrieving Cloud-Top Height Based on a Machine Learning Model Using the Himawari-8 Combined with Near Infrared Data
Published 2022-12-01“…The algorithm comprehensively utilizes AHI L1 multi-channel radiance data and calculates the input parameters of the generated model according to the characteristics of the cloud phase, texture, and the local brightness temperature change of the cloud. …”
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2290
Learning a restricted Boltzmann machine using biased Monte Carlo sampling
Published 2023-03-01“…Restricted Boltzmann Machines are simple and powerful generative models that can encode any complex dataset. …”
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2291
High-spatial resolution epidemic surveillance of bacterial meningitis in the African meningitis belt in Burkina Faso
Published 2022-11-01“…We used suspected meningitis surveillance data at health centre (HC) resolution from Burkina Faso from 14 health districts spanning years 2004–2014 and analysed them using spatio-temporal statistics and generative models. An operational analysis compared epidemic signals at district and HC-level using weekly incidence thresholds. …”
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2292
Dialogue system based on spoken conversations with access to an unstructured knowledge base
Published 2023-02-01“…The tasks are solved by adapting the retrieval augmented text generation model Retrieval Augmented Generation. The proposed method tested on the data from the 10th Dialogue System Technology Challenge. …”
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2293
A Systematic Literature Review on Binary Neural Networks
Published 2023-01-01“…Although there are many advantages of BNN, the binarization process has a significant impact on the performance and accuracy of the generated models. To reflect the state-of-the-art in BNN and explore how to develop and improve BNN-based models, we conduct a systematic literature review on BNN with data extracted from 239 research studies. …”
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2294
Estimating plant biomass in agroecosystems using a drop-plate meter
Published 2023-08-01“…Methods Drop-plate data collected by more than 20 individuals from 16 crop types on 312 farms across 15 states were used to generate models to estimate plant biomass among and within crop types. …”
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2295
Analysis of the influence of different thermal boundary conditions on thermoelectric generators
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2296
A New Methodology to Obtain a Feasible Thermal Operation in Power Systems in a Medium-Term Horizon
Published 2020-06-01“…Temporal aggregation, integer programming relaxation or less accurate generation modeling are usually employed to obtain reasonable computation times. …”
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2297
Should multiple imputation be stratified by exposure group when estimating causal effects via outcome regression in observational studies?
Published 2023-02-01“…We conducted an extensive simulation study based on an illustrative case study from the Victorian Adolescent Health Cohort Study, assessing a range of scenarios, including seven outcome generation models with exposure-confounder interactions of differing strength. …”
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2298
Compressive Strength Prediction for Industrial Waste-Based SCC Using Artificial Neural Network
Published 2022-11-01“…The experimental and expected outcomes were compared with the model prediction to evaluate the predictive capacity, generalize the generated model, and observe suitable matches. The developed ANN network can predict the desired output, i.e., compressive strength incorporating industrial waste. …”
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2299
An Adaptive Strategy for Medium-Term Electricity Consumption Forecasting for Highly Unpredictable Scenarios: Case Study Quito, Ecuador during the Two First Years of COVID-19
Published 2022-11-01“…All these approaches evaluate the prediction error when comparing the generated models with the data that fed the model, but they do not compare these values with the actual data of electricity demand once these are obtained, in addition, these techniques present high error values when there are unexpected changes in the trend of electricity consumption. …”
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2300
Investigation and improvement of vehicle A/C system compressor noise by 6sigma approach
Published 2018-12-01“…Besides, a regression analysis is performed to identify the compressor noise generation model (equation describing the noise model) based on these highly correlated factors. …”
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