Advancements in phenotyping technology have enabled plant science researchers to gather
large volumes of information from their experiments, especially those that evaluate multiple …

In the IoT era, sensitive and non-sensitive data are recorded and transmitted to multiple
service providers and IoT platforms, aiming to improve the quality of our lives through the …

In today's world, data science has swept the globe, impacting practically every business. All
the industries and sectors have become data-dependent. As a result, data science has …

This study seeks to enhance lead conversion for online professional education providers by
using supervised machine learning algorithms for lead conversion targeting and lead …

Data analysis is essential for gaining insights and making informed decisions. A crutial step
in data analysis is data processing, which involves preparing and filtering raw data to ensure …

The R programming language is generally known for its strength in Monte Carlo simulations,
and numerical computing. This study will try to utilize R for discrete event simulations …

Classification of mental disorders is the process of grouping mental disorders into categories
based on their symptoms, causes and consequences. EDA is a data analysis strategy that …

This thesis proposes a predictive maintenance strategy applied to an industrial case with
Dynavia, a company specialized in the manufacture of seed treatment systems. Dynavia's …

Data preparation involves transforming, cleaning, and converting raw data into a usable
format for further analysis. This process can be time-consuming and resource-intensive …

Effective use of technology and digitalization has great importance to increase productivity in
today's businesses. Units in the companies can use different digitalization techniques …