AIMC Topic: Forecasting

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Deep learning applications for kidney histology analysis.

Current opinion in nephrology and hypertension Feb 19, 2024
PURPOSE OF REVIEW: Nephropathology is increasingly incorporating computational methods to enhance research and diagnostic accuracy. The widespread adoption of digital pathology, coupled with advancements in deep learning, will likely transform our pa...
Humans Forecasting Kidney Diseases Deep Learning Kidney
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Precision forecasting of spray-dry desulfurization using Gaussian noise data augmentation and k-fold cross-validation optimized neural computing.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Feb 19, 2024
Perceptron models have become integral tools for pattern recognition and classification problems in engineering fields. This study envisioned implementing artificial neural networks to forecast the performance of a mini-spray dryer for desulfurizatio...
Neural Networks, Computer Computer Simulation Forecasting Temperature
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[Artificial intelligence-enhanced electrocardiography : Will it revolutionize diagnosis and management of our patients?].

Herzschrittmachertherapie & Elektrophysiologie Feb 15, 2024
The use of artificial intelligence (AI) in healthcare has made significant progress in the last 10 years. Many experts believe that utilization of AI technologies, especially deep learning, will bring about drastic changes in how physicians understan...
Diagnosis, Computer-Assisted Humans Electrocardiography Artificial Intelligence Forecasting
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Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models.

Environmental science and pollution research international Feb 15, 2024
Accurately predicting future carbon emissions is of great significance for the government to scientifically promote carbon emission reduction policies. Among the current technologies for forecasting carbon emissions, the most prominent ones are econo...
Forecasting Deep Learning Neural Networks, Computer Machine Learning China Carbon Models, Econometric
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Comparing ARIMA and various deep learning models for long-term water quality index forecasting in Dez River, Iran.

Environmental science and pollution research international Feb 14, 2024
Water scarcity poses a significant global challenge, particularly in developing nations like Iran. Consequently, there is a pressing requirement for ongoing monitoring and prediction of water quality, utilizing advanced techniques characterized by lo...
Water Quality Rivers Environmental Monitoring Iran Forecasting Deep Learning
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Accuracy of artificial intelligence-assisted growth prediction in skeletal Class I preadolescent patients using serial lateral cephalograms for a 2-year growth interval.

Orthodontics & craniofacial research Feb 6, 2024
OBJECTIVE: To investigate the accuracy of artificial intelligence-assisted growth prediction using a convolutional neural network (CNN) algorithm and longitudinal lateral cephalograms (Lat-cephs).
Humans Neural Networks, Computer Maxillofacial Development Cephalometry Malocclusion, Angle Class I Male Child Mandible Anatomic Landmarks Artificial Intelligence Forecasting Algorithms Female
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Forecasting China carbon price using an error-corrected secondary decomposition hybrid model integrated fuzzy dispersion entropy and deep learning paradigm.

Environmental science and pollution research international Feb 6, 2024
Forecasting China's carbon price accurately can encourage investors and manufacturing industries to take quantitative investments and emission reduction decisions effectively. The inspiration for this paper is developing an error-corrected carbon pri...
Forecasting Carbon Entropy Deep Learning Investments China
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Artificial intelligence-based forecasting model for incinerator in sulfur recovery units to predict SO emissions.

Environmental research Feb 5, 2024
Pollutant emissions from chemical plants are a major concern in the context of environmental safety. A reliable emission forecasting model can provide important information for optimizing the process and improving the environmental performance. In th...
Air Pollutants Sulfur Models, Theoretical Environmental Monitoring Incineration Sulfur Dioxide Neural Networks, Computer Artificial Intelligence Machine Learning Forecasting
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Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2024
We introduce the Discrete-Temporal Sobolev Network (DTSN), a neural network loss function that assists dynamical system forecasting by minimizing variational differences between the network output and the training data via a temporal Sobolev norm. Th...
Neural Networks, Computer Algorithms Forecasting Learning
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A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China.

Journal of environmental management Jan 23, 2024
Accurately predicting carbon trading prices using deep learning models can help enterprises understand the operational mechanisms and regulations of the carbon market. This is crucial for expanding the industries covered by the carbon market and ensu...
Carbon Industry Forecasting Reproducibility of Results Deep Learning China
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