New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

SmartKNN is a nearest-neighbor–based learning method that belongs to the broader KNN family of algorithms.

Abstract: Machine learning has been applied across various scientific fields and switching apparatus monitoring is no exception. Monitoring system is a crucial component of switching apparatus ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Abstract: With the development of IoT intelligence and automation, the demand for efficient and accurate recognition of logistics numbering image processing is increasing. In response to the high ...

Biomedical engineers at Duke University have developed a new method to improve the effectiveness of machine learning models. By pairing two machine learning models, one to gather data and one to ...

PG and Research Department of Computer Science, D. G. Vaishnav College, Chennai, India. Data Mining (DM) is a convenient way of extracting patterns, which represents knowledge implicitly stored in ...