A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...
The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...
Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...
Abstract: Learning-based motion planning methods have shown significant promise in enhancing the efficiency of traditional algorithms. However, they often face performance degradation in novel ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Abstract: The linear synchronous motor (LSM) driven industrial conveyor cart system has revolutionized modern material handling and conveyor systems, positioning them as fast, accurate, and ...
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