AIMC Topic: Forecasting
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Artificial Intelligence in the Future Landscape of Pediatric Neuroradiology: Opportunities and Challenges.
AJNR. American journal of neuroradiology
May 9, 2024
This paper will review how artificial intelligence (AI) will play an increasingly important role in pediatric neuroradiology in the future. A safe, transparent, and human-centric AI is needed to tackle the quadruple aim of improved health outcomes, e...
Future of outcomes research in plastic surgery: Artificial intelligence generated synthetic data and predictive models.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
May 8, 2024
Exploring dental professionals' outlook on the future of dental care amidst the integration of artificial intelligence in dentistry: a pilot study in Pakistan.
BMC oral health
May 8, 2024
OBJECTIVE: The purpose of this study is to explore the perspectives, familiarity, and readiness of dental faculty members regarding the integration and application of artificial intelligence (AI) in dentistry, with a focus on the possible effects on ...
Local spatial and temporal relation discovery model based on attention mechanism for traffic forecasting.
Neural networks : the official journal of the International Neural Network Society
May 6, 2024
Recognizing the evolution pattern of traffic condition and making accurate prediction play a vital role in intelligent transportation systems (ITS). With the massive increase of available traffic data, deep learning-based models have attracted consid...
Enhancing short-term streamflow prediction in the Haihe River Basin through integrated machine learning with Lasso.
Water science and technology : a journal of the International Association on Water Pollution Research
May 2, 2024
With the widespread application of machine learning in various fields, enhancing its accuracy in hydrological forecasting has become a focal point of interest for hydrologists. This study, set against the backdrop of the Haihe River Basin, focuses on...
Machine learning in epidemiology: Neural networks forecasting of monkeypox cases.
PloS one
May 1, 2024
This study integrates advanced machine learning techniques, namely Artificial Neural Networks, Long Short-Term Memory, and Gated Recurrent Unit models, to forecast monkeypox outbreaks in Canada, Spain, the USA, and Portugal. The research focuses on t...
Predicting carbon dioxide emissions in the United States of America using machine learning algorithms.
Environmental science and pollution research international
Apr 30, 2024
Carbon dioxide (CO) emissions result from human activities like burning fossil fuels. CO is a greenhouse gas, contributing to global warming and climate change. Efforts to reduce CO emissions include transitioning to renewable energy. Monitoring and ...
Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India.
Environmental pollution (Barking, Essex : 1987)
Apr 27, 2024
This research was established to accurately forecast daily scale air quality index (AQI) which is an essential environmental index for decision-making. Researchers have projected different types of models and methodologies for AQI forecasting, such a...
Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast.
International journal of biometeorology
Apr 27, 2024
Cotton is a major economic crop predominantly cultivated under rainfed situations. The accurate prediction of cotton yield invariably helps farmers, industries, and policy makers. The final cotton yield is mostly determined by the weather patterns th...
Future of artificial intelligence in plastic surgery: Toward the development of specialty-specific large language models.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Apr 23, 2024
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