De Staël’s work has been a multi-year obsession of Patrick Quéré, an eccentric American, who claims that he holds a key to ...
Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
Abstract: Predicting patient health and analyzing healthcare data can be challenging, especially when transferring data over wireless communications in hospital management systems. This study aims to ...
Abstract: Cryptography has played a crucial role in secure communication for centuries, evolving from classical ciphers like the Caesar Cipher to modern encryption techniques. The Data Encryption ...
Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...
Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...
SimCraft is designed for academic research, industrial applications, and integration with optimization algorithms including reinforcement learning. It provides a clean, extensible API for building ...
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