AIMC Topic: Forecasting

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Evaluation of machine learning algorithms for trabeculectomy outcome prediction in patients with glaucoma.

Scientific reports Feb 15, 2022
The purpose of this study was to evaluate the performance of machine learning algorithms to predict trabeculectomy surgical outcomes. Preoperative systemic, demographic and ocular data from consecutive trabeculectomy surgeries from a single academic ...
Middle Aged ROC Curve Trabeculectomy Treatment Outcome Humans Aged Glaucoma Aged, 80 and over Machine Learning Male Forecasting Female
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A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models.

Scientific reports Feb 14, 2022
This study aims to develop an assumption-free data-driven model to accurately forecast COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the Gaussian process regression (GPR) hyperparameters to develop an efficient ...
Bayes Theorem Humans Forecasting Reproducibility of Results Brazil India SARS-CoV-2 Pandemics Neural Networks, Computer COVID-19 Machine Learning Algorithms
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Attention-Based Deep Recurrent Neural Network to Forecast the Temperature Behavior of an Electric Arc Furnace Side-Wall.

Sensors (Basel, Switzerland) Feb 12, 2022
Structural health monitoring (SHM) in an electric arc furnace is performed in several ways. It depends on the kind of element or variable to monitor. For instance, the lining of these furnaces is made of refractory materials that can be worn out over...
Neural Networks, Computer Electricity Time Forecasting Temperature
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DGSLSTM: Deep Gated Stacked Long Short-Term Memory Neural Network for Traffic Flow Forecasting of Transportation Networks on Big Data Environment.

Big data Feb 10, 2022
Deep learning and big data techniques have become increasingly popular in traffic flow forecasting. Deep neural networks have also been applied to traffic flow forecasting. Furthermore, it is difficult to determine whether neural networks can be used...
Big Data Transportation Forecasting Deep Learning Neural Networks, Computer
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Raster plots machine learning to predict the seizure liability of drugs and to identify drugs.

Scientific reports Feb 10, 2022
In vitro microelectrode array (MEA) assessment using human induced pluripotent stem cell (iPSC)-derived neurons holds promise as a method of seizure and toxicity evaluation. However, there are still issues surrounding the analysis methods used to pre...
Cells, Cultured Female Adult Machine Learning Forecasting Dose-Response Relationship, Drug Seizures Pharmaceutical Preparations Male Middle Aged Humans Neural Networks, Computer Toxicity Tests Liability, Legal Microelectrodes Drug-Related Side Effects and Adverse Reactions Induced Pluripotent Stem Cells
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Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist.

Computational intelligence and neuroscience Feb 8, 2022
Daily peak load forecasting (DPLF) and total daily load forecasting (TDLF) are essential for optimal power system operation from one day to one week later. This study develops a Cubist-based incremental learning model to perform accurate and interpre...
Neural Networks, Computer Forecasting Temperature Electricity
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Fusion of sequential visits and medical ontology for mortality prediction.

Journal of biomedical informatics Feb 7, 2022
The goal of mortality prediction task is to predict the future death risk of patients according to their previous Electronic Healthcare Records (EHR). The main challenge of mortality prediction is how to design an accurate and robust predictive model...
Humans Neural Networks, Computer Electronic Health Records Forecasting
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CVDF DYNAMIC-A Dynamic Fuzzy Testing Sample Generation Framework Based on BI-LSTM and Genetic Algorithm.

Sensors (Basel, Switzerland) Feb 7, 2022
As one of the most effective methods of vulnerability mining, fuzzy testing has scalability and complex path detection ability. Fuzzy testing sample generation is the key step of fuzzy testing, and the quality of sample directly determines the vulner...
Forecasting Learning Fuzzy Logic Artificial Intelligence Algorithms Neural Networks, Computer
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Self-Attention-Based Deep Learning Network for Regional Influenza Forecasting.

IEEE journal of biomedical and health informatics Feb 4, 2022
Early prediction of influenza plays an important role in minimizing the damage caused, as it provides the resources and time needed to formulate preventive measures. Compared to traditional mechanistic approach, deep/machine learning-based models hav...
Humans Reproducibility of Results Deep Learning Influenza, Human Neural Networks, Computer Forecasting
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Stock prediction based on bidirectional gated recurrent unit with convolutional neural network and feature selection.

PloS one Feb 4, 2022
With the development of recent years, the field of deep learning has made great progress. Compared with the traditional machine learning algorithm, deep learning can better find the rules in the data and achieve better fitting effect. In this paper, ...
Deep Learning Humans Algorithms Machine Learning Neural Networks, Computer Investments Forecasting
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