Enhancing anomaly detection: A comprehensive approach with MTBO feature selection and TVETBO Optimized Quad-LSTM classification
RajaSekhar Reddy N V(International Institute of Information Technology, Hyderabad), Ramesh Vatambeti(VIT-AP University), Bhasha Pydala(Sri Venkateswara University), Kranthi Kumar Lella(VIT-AP University), Ramu Gandikota(P.V. Narsimha Rao Telangana Veterinary University), N SreeDivya(Mahatma Gandhi Institute of Technology)
Cited by 35
Related Papers
Twitter sentiment analysis on online food services based on elephant herd optimization with hybrid deep learning technique
|Cluster Computing|2023|78
An IoT-based agriculture maintenance using pervasive computing with machine learning technique
|International Journal of Intelligent Computing and Cybernetics|2021|57
Securing the medical data using enhanced privacy preserving based blockchain technology in Internet of Things
|Cluster Computing|2023|52
Designing a modified feature aggregation model with hybrid sampling techniques for network intrusion detection
|Cluster Computing|2024|50
Advancing automated street crime detection: a drone-based system integrating CNN models and enhanced feature selection techniques
|International Journal of Machine Learning and Cybernetics|2024|35