AIMC Topic: Forecasting

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Foresight science in conservation: Tools, barriers, and mainstreaming opportunities.

Ambio Oct 26, 2022
Foresight science is a systematic approach to generate future predictions for planning and management by drawing upon analytical and predictive tools to understand the past and present, while providing insights about the future. To illustrate the app...
Artificial Intelligence Forecasting Conservation of Natural Resources
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Development and Evaluation of Machine Learning-Based High-Cost Prediction Model Using Health Check-Up Data by the National Health Insurance Service of Korea.

International journal of environmental research and public health Oct 21, 2022
In this study, socioeconomic, medical treatment, and health check-up data from 2010 to 2017 of the National Health Insurance Service (NHIS) of Korea were analyzed. This year's socioeconomic, treatment, and health check-up data are used to develop a p...
Machine Learning Algorithms Forecasting Logistic Models National Health Programs
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PM2.5 forecasting for an urban area based on deep learning and decomposition method.

Scientific reports Oct 20, 2022
Rapid growth in industrialization and urbanization have resulted in high concentration of air pollutants in the environment and thus causing severe air pollution. Excessive emission of particulate matter to ambient air has negatively impacted the hea...
Humans Neural Networks, Computer Forecasting Deep Learning Air Pollutants Air Pollution Particulate Matter
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Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil.

International journal of environmental research and public health Oct 19, 2022
Efficient and accurate dengue risk prediction is an important basis for dengue prevention and control, which faces challenges, such as downloading and processing multi-source data to generate risk predictors and consuming significant time and computa...
Humans Artificial Intelligence Forecasting Brazil Deep Learning Search Engine Dengue
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Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network.

Sensors (Basel, Switzerland) Oct 17, 2022
Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units. Thus, it is imperative to present new incentive methods to motivate such power ...
Neural Networks, Computer Algorithms Forecasting Heuristics Electricity
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Image-based time series forecasting: A deep convolutional neural network approach.

Neural networks : the official journal of the International Neural Network Society Oct 15, 2022
Inspired by the successful use of deep learning in computer vision, in this paper we introduce ForCNN, a novel deep learning method for univariate time series forecasting that mixes convolutional and dense layers in a single neural network. Instead o...
Neural Networks, Computer Forecasting Time Factors Image Processing, Computer-Assisted
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Days-ahead water level forecasting using artificial neural networks for watersheds.

Mathematical biosciences and engineering : MBE Oct 14, 2022
Watersheds of tropical countries having only dry and wet seasons exhibit contrasting water level behaviour compared to countries having four seasons. With the changing climate, the ability to forecast the water level in watersheds enables decision-ma...
Neural Networks, Computer Algorithms Forecasting Water Seasons
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DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction.

Neural networks : the official journal of the International Neural Network Society Oct 14, 2022
Time series forecasting models that use the past information of exogenous or endogenous sequences to forecast future series play an important role in the real world because most real-world time series datasets are rich in time-dependent information. ...
Neural Networks, Computer Forecasting Time Factors
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Tropical support vector machines: Evaluations and extension to function spaces.

Neural networks : the official journal of the International Neural Network Society Oct 13, 2022
Support Vector Machines (SVMs) are one of the most popular supervised learning models to classify using a hyperplane in an Euclidean space. Similar to SVMs, tropical SVMs classify data points using a tropical hyperplane under the tropical metric with...
Forecasting Support Vector Machine Normal Distribution
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Air Quality Index prediction using an effective hybrid deep learning model.

Environmental pollution (Barking, Essex : 1987) Oct 11, 2022
Environmentalism has become an intrinsic part of everyday life. One of the greatest challenge to the environment's long-term existence is the air pollution. Delhi, the capital of India, has experienced decreasing of air quality for several years. The...
Humans Forecasting Deep Learning Environmental Monitoring Air Pollution Particulate Matter
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