GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano ...

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 ...
Analytics Insight

Best AI Skills to Learn for Future Jobs January 2026

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...
IEEE

Spatiotemporal Modeling of Thunderstorm Events in Telangana Using CNN-RNN Architectures

Abstract: The project aims to create deep learning models for thunderstorm estimation over India using global weather model data. Due to rapid formation and localized nature, thunderstorms present a ...
IEEE

Malware Classification through Opcodes using Deep Learning RNN and CNN models

Abstract: This research study proposes a novel method for classifying malware using opcode sequences extracted from Windows files. Deep learning models such as RNN, LSTM, GRU, and a hybrid CNN-LSTM ...