AIMC Topic: Forecasting

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The Intersection of Lung Cancer Screening, Radiomics, and Artificial Intelligence: Can One Scan Really Predict the Future Development of Lung Cancer?

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Feb 3, 2023
Humans Artificial Intelligence Lung Neoplasms Early Detection of Cancer Forecasting Machine Learning
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Learning matrix factorization with scalable distance metric and regularizer.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2023
Matrix factorization has always been an encouraging field, which attempts to extract discriminative features from high-dimensional data. However, it suffers from negative generalization ability and high computational complexity when handling large-sc...
Generalization, Psychological Algorithms Neural Networks, Computer Learning Forecasting
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Forecasting shipping index using CEEMD-PSO-BiLSTM model.

PloS one Feb 2, 2023
Shipping indices are extremely volatile, non-stationary, unstructured and non-linear, and more difficult to forecast than other common financial time series. Based on the idea of "decomposition-reconstruction-integration", this article puts forward a...
Time Factors Forecasting Neural Networks, Computer
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Coupling machine learning with signal process techniques and particle swarm optimization for forecasting flood routing calculations in the Eastern Black Sea Basin, Türkiye.

Environmental science and pollution research international Jan 30, 2023
With the effect of global warming, the frequency of floods, one of the most important natural disasters, increases, and this increases the damage it causes to people and the environment. Flood routing models play an important role in predicting flood...
Floods Forecasting Black Sea Machine Learning Humans
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Improved neural network for predicting blood donations based on two emergent factors.

Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine Jan 25, 2023
BACKGROUND: Blood donation forecasting is a critical part of blood supply chain management. However, few studies have focused on modeling blood donation with different emergency factors. The purpose of this study was to investigate the effects of dif...
Neural Networks, Computer Humans Blood Donation Forecasting Blood Volume Blood Donors
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Optimal control by deep learning techniques and its applications on epidemic models.

Journal of mathematical biology Jan 25, 2023
We represent the optimal control functions by neural networks and solve optimal control problems by deep learning techniques. Adjoint sensitivity analysis is applied to train the neural networks embedded in differential equations. This method can not...
Epidemics Neural Networks, Computer Deep Learning Forecasting
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Coagulant dosage determination using deep learning-based graph attention multivariate time series forecasting model.

Water research Jan 24, 2023
Determination of coagulant dosage in water treatment is a time-consuming process involving nonlinear data relationships and numerous factors. This study provides a deep learning approach to determine coagulant dosage and/or the settled water turbidit...
Time Factors Machine Learning Weather Forecasting Water Purification Deep Learning
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Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.

Journal of medical systems Jan 13, 2023
Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in...
Deep Learning Overweight Diet Obesity Machine Learning Computer Simulation Forecasting Humans Artificial Intelligence
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Artificial intelligence: the future might already be here.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 12, 2023
Artificial Intelligence Humans Forecasting
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Uncertainty and sensitivity analysis of deep learning models for diurnal temperature range (DTR) forecasting over five Indian cities.

Environmental monitoring and assessment Jan 12, 2023
In this article, the maximum and minimum daily temperature data for Indian cities were tested, together with the predicted diurnal temperature range (DTR) for monthly time horizons. RClimDex, a user interface for extreme computing indices, was used t...
Temperature Deep Learning Forecasting Environmental Monitoring Cities Uncertainty
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