The MNIST dataset is a popular benchmark dataset in the field of machine learning and
computer vision. The dataset has a training set of 60,000 examples, and a test set of 10,000 …

Researchers from various disciplines have shown great interest in carbon nanotubes
(CNTs) due to their exceptional nanostructures and distinct electronic, mechanical, and …

This data analysis project delves into the vast dataset of one of the world's largest retail
giants, Walmart, to uncover valuable insights and trends within its operations. By harnessing …

The stock market is a complex and dynamic environment where investors and traders strive
to make informed decisions to maximize profits or minimize losses. Predicting stock prices …

This paper presents a novel method for estimating the human body in 3D using depth
sensor data. The proposed method utilizes a deep neural network to predict the body joints …

Researchers from various disciplines have shown great interest in carbon nanotubes
(CNTs) due to their exceptional nanostructures and distinct electronic, mechanical, and …

The number of vehicles on the road has increased in recent years, and many countries now
require reliable and sophisticated control of the traffic signal system. By accurately …

In today's rapidly evolving digital era, the vast amount of news articles available online
makes it challenging for individuals to navigate through the sea of information. To address …

Both parabolic and box type solar cookers have the potential to be effective and efficient
solutions for various challenges related to health, economy, environment, and energy. The …