IEEE

Enhancing Cybersecurity with Deep Learning: A Comparative Study of CNN and RNN for IDS

Abstract: The design and development of intrusion detection systems (IDS) are also widely used to implement deep learning approaches in the field of cybersecurity. Deep-learning techniques are ...
GitHub

deep-learning-from-scratch

A from scratch PyTorch implementation of DDPM and DDIM samplers trained on 2D manifold data. Features a custom linear noise scheduler, sinusoidal time embeddings, and zero external diffusion libraries ...
IEEE

PF-DTN: Predictive Routing for Intelligent Delay Tolerant Networks Using RNN-LSTM Deep Learning With Monte Carlo Dropout Uncertainty Estimation and Hybrid Deterministic ...

Abstract: Delay tolerant networks (DTN/s) represent an evolution of traditional ad hoc networks, specifically designed for extreme environments characterized by intermittent connectivity, ...
gfinityesports

DEEP Codes (January 2026)

Looking for the latest and working Roblox DEEP codes? Today, we are here with a list of working DEEP codes you can redeem to get free cash and level up faster. DEEP is a Roblox title where you will ...
GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...