Nilanjan Dey
About the Author
Nilanjan Dey is a distinguished researcher and author in the fields of signal processing and data analysis, with a focus on innovative applications of machine learning. Holding advanced degrees in computer science and engineering, he has contributed significantly to interdisciplinary studies that bridge theoretical foundations with practical implementations. His work explores the coefficient of variation as a robust statistical tool in machine learning contexts, enhancing predictive models for complex datasets in intelligent systems. Dey has published extensively in peer-reviewed journals and collaborates with global institutions to advance data-driven technologies. Passionate about demystifying advanced algorithms, he aims to make cutting-edge research accessible to both academics and industry professionals, fostering advancements in artificial intelligence and beyond.
