Abstract: Ensuring the reliability and safety of industrial processes requires robust monitoring systems capable of detecting and diagnosing issues in complex, dynamic, and high-dimensional data ...
This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...
👋 New contributor? Start with the step-by-step runbook in docs/GETTING_STARTED.md for an end-to-end setup (clone → configure → run → verify).
Abstract: Mobile networks are rapidly expanding, and there is an increasing demand for seamless connectivity. Detecting whether a user is indoors or outdoors is pivotal in optimizing network ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of decisions. A four ...
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