The rapid expansion of Internet of Things (IoT) deployments across healthcare, smart cities, industrial facilities, and ...
Accurately predicting the on-target activity of sgRNAs remains a challenge in CRISPR-Cas9 applications, due to the limited generalization of existing models across datasets, small-sample settings, and ...
Amanta NIDS is a real-time Network Intrusion Detection System (NIDS) that leverages Machine Learning to identify and classify network attacks. It integrates NFStream for deep packet inspection and a ...
The hippocampus is known to be involved in the retrieval of items bound to a specific context. Failure of contextual retrieval can lead to false recalls, wherein people recall an item outside of its ...
Electronic Control Units (ECUs) have been increasingly used in modern vehicles to control the operations of the vehicle, improve driving comfort, and safety. For the operation of the vehicle, these ...
This repository is part of IPAL - an Industrial Protocol Abstraction Layer. IPAL aims to establish an abstract representation of industrial network traffic for subsequent unified and ...
Transition path sampling techniques allow molecular dynamics simulations of complex systems to focus on rare dynamical events, providing insight into mechanisms and the ability to calculate rates ...
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