The artificial intelligence community has long struggled with a fundamental challenge of making AI systems transparent and ...

Pattern recognition is crucial across diverse domains, including retrieval of information, data mining, and bioinformatics. Numerous algorithms exist for string matching, and finite state machines ...

In the recent years, as an alternative of the traditional process quality management methods, such as Shewhart SPC, artificial neural networks (ANN) have been widely used to recognize the abnormal ...

sig2dna transforms complex 1D analytical signals into DNA-like symbolic sequences, enabling efficient alignment and classification. This Python module supports various analytical techniques and is ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Action_Recognition_based_Custom_Video_Model A custom Action Recognition Model using YOLO and Python, developed as part of a Research Project at IIT BHILAI. The model focuses on detecting and ...