AI Pattern Recognition and its Features
Prashant Bansal
Prashant Bansal, Individual Researcher, Edison, NJ, USA.
Manuscript received on 11 October 2024 | First Revised Manuscript received on 19 October 2024 | Second Revised Manuscript received on 28 December 2024 | Manuscript Accepted on 15 February 2025 | Manuscript published on 28 February 2025 | PP: 18-25 | Volume-14 Issue-3, February 2025 | Retrieval Number: 100.1/ijeat.C456214030225 | DOI: 10.35940/ijeat.C4562.14030225
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Pattern recognition is one of the most fundamental aspects of artificial intelligence (AI) and machine learning (ML). It plays a pivotal role in tasks such as classification, clustering, regression, and anomaly detection. The ability to detect patterns and regularities from large datasets is critical for decision-making processes, automation, and developing intelligent systems. This article aims to provide an in-depth exploration of pattern recognition, its key features, utilities, and current challenges. It also examines the diverse applications of pattern recognition across industries such as healthcare, finance, and robotics, emphasizing its role in the future of AI.
Keywords: AI, Pattern, ML, KNN, Neural Networks, Deep Learning.
Scope of the Article: Artificial Intelligence and Methods