Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

ABSTRACT: We build upon previously proposed empirical equations involving the cosmic microwave background (CMB) temperature and extend the approach to include an empirical formulation for the ...

Whether investigating an active intrusion, or just scanning for potential breaches, modern cybersecurity teams have never had more data at their disposal. Yet increasing the size and number of data ...

Abstract: Accurately detecting maize leaf diseases from field images is challenging. This is because of the shortcomings of field data such as complex and non-uniform backgrounds and varying ...

DNT is a professional-grade Python tool designed to batch-clean messy CSV datasets using configurable normalization rules stored in a YAML file. It provides a repeatable, testable, and auditable ...

The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi ...

Understanding the interaction between Performance Max (PMax) and Search campaigns can be complex. Determining whether PMax cannibalizes Search ads is particularly ...

Metagenomic time-course studies provide valuable insights into the dynamics of microbial systems and have become increasingly popular alongside the reduction in costs of next-generation sequencing ...