2 天前 - The use of artificial intelligence (AI) technologies in enhancing mental imagery has
gained significant attention in recent years. This research paper explores the various ways …

2 天前 - … , hardware platforms, artificial intelligence and machine learning models, and systems
… The proposed techniques are especially applicable for real-time multi-sensor machine …

2 天前 - … This paper presents a novel approach for detecting depressive sentiment in online
discourse using Natural Language Processing (NLP) and machine learning techniques. The …

2 天前 - … leverages machine learning classification techniques, with … We systematically
evaluated ten classification techniques, … the age of artificial intelligence and machine learning for …

2 天前 - … In this context, the application of artificial intelligence and machine learning (ML)
techniques is a suitable strategy for predicting post-surgery discharge times more accurately [8]…

2 天前 - … supervised techniques such as artificial neural networks (ANN) and support vector
machines (SVM). They applied the k-means clustering, SVM, ANN, and GTM techniques to …

2 天前 - … The ability of ML techniques to accurately predict results … an ET regression technique
utilizing experimental data to … both experimental and machine learning techniques. Unlike …

2 天前 - … ln this paper, we propose a Machine Learning (ML) workflow for the quantitative …
We studied many combinations of ML regression algorithms and feature extraction techniques, …

2 天前 - … The application of monitoring techniques associated with artificial intelligence in
grain drying and storage operations can assist in decision-making processes, preventing …

2 天前 - … techniques … artificial intelligence and machine learning techniques for diagnosing
prostate cancer based on various types of data, including MRI. The most recent techniques …