Internet of Things (IoT) has become one of the mainstream advancements and a supreme
domain of research for the technical as well as the scientific world, and financially appealing …

When it comes to the formation of real-looking images using some complex models,
Generative Adversarial Networks do not disappoint. The complex models involved are often …

Manual approaches rely on the abilities and knowledge of individual human administrators
to detect, analyze, and interpret attacks. Intrusion Detection Systems (IDS) are systems that …

A glucocorticoid receptor High-Throughout (cell) Imaging (HTI) screen to predict target
protein activity in a variety of seemingly unrelated tests. The repurposing method raised hit …

In recent years, there has been an uptick in interest in generative models for molecules in
drug development. In the field of de novo molecular design, these models are used to make …

The capacity to anticipate transfusions during a hospital stay may allow for more efficient
blood supply management, as well as increased patient safety by assuring a sufficient …

Biomarkers that are validated and robust are required for the enhancement of diagnosis, the
observation of drug-related activity, therapeutic reactions, and as the blueprint for …

The most appropriate method to uncover patterns from clinical records for each patient
record is to create a bag with a variety of examples in the form of symptoms. The goal of …

For the majority of areas in machine learning, neural computation and pattern recognition,
representing raw information as attribute vectors in a Euclidean vector environment has …

In ungauged basins, long short-term memory (LSTM) networks provide unparalleled
precision in prediction. Using k-fold validation, we trained and tested various LSTMs on 531 …