This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
An analysis spanning fifty years reveals that the cost of gasoline is one of the strongest predictors of presidential approval ratings, acting in an uneven pattern where initial price spikes cause the ...
Abstract: As an amendment to the deep forest, deep forest regression (DFR) has been recently proposed for industrial process modeling. However, training DFR models is an arduous task in terms of ...
Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...
A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...
Abstract: In this paper, we evaluate the effectiveness of the Random Forest algorithm in detecting intrusions within IoT environments through features selection analysis. We utilize the Network ...
The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...
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