LEGO sets through the analysis of data accrued on themes, colours, and components of the various LEGO sets over the past few decades. Hence, through an assessment of the development …
Abstracts Category: Machine and Deep Learning
this research readdresses the issue of the germ theory and its founder Dr. Ignaz Semmelweis and his discovery about the impact of hand washing on mortality rates in hospitals. Ensuring …
Left-hand prevalents Left-handers are in various ways discriminated through various myths and one of it is that they have relatively short life span than right-handers, famous examples of left- handers …
The study carried out here focuses on cosmetic products so as to observe patterns present in components of such products and the global markets. Thus, based on the evaluated examples …
Relevant in the age of online streaming, song recommendation systems provide customised playlists to increase consumer satisfaction. The objective of this work is to make a model using machine learning methods that …
Patterns of Nobel Prize Winners: Analyzing Trends in Age, Gender, and Discipline Using Deep Learning
Emphasizing such factors as age, sex, and field of expertise, this study focuses on demographic and disciplinary patterns in Nobel Prize winners. By means of data gathered over several decades, …
This paper delivers detailed comparison of Aaron Judge’s and Giancarlo Stanton’s home run tendencies. Both have been well-known MLB players. It seeks to differentiate their natural hitting techniques. We want …
Machine learning predictions for optimal cement content in sustainable concrete constructions
by Pradip SinghMachine learning predictions for optimal cement content in sustainable concrete constructions. The designated concrete compressive strength at 28 days plays an important role in determining the quantity of cement (water …