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NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains
One of the sources of the attacks on IoT ecosystems are botnets.
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks
In this paper, a Deep Learning enabled Long Short Term Memory (LSTM) Autoencoder and a 13-feature Deep Neural Network (DNN) models were developed which performed a lot better in terms of accuracy on UNSW-NB15 and Bot-IoT datsets.
Agricultural Plantation Classification using Transfer Learning Approach based on CNN
Hyper-spectral images are images captured from a satellite that gives spatial and spectral information of specific region. A Hyper-spectral image contains much more number of channels as compared to a RGB image, hence containing more information about entities within the image.
Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study
A Hyperspectral image contains much more number of channels as compared to a RGB image, hence containing more information about entities within the image.
Semi-Automatic Terminology Ontology Learning Based on Topic Modeling
Ontologies provide features like a common vocabulary, reusability, machine-readable content, and also allows for semantic search, facilitate agent interaction and ordering & structuring of knowledge for the Semantic Web (Web 3. 0) application.
