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5 papers · 1 filter
Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection
Li Yang, Abdallah Shami
The rapid evolution of mobile networks from 5G to 6G has necessitated the development of autonomous network management systems, such as Zero-Touch Networks (ZTNs). However, the inc…
Training Artificial Neural Networks by Coordinate Search Algorithm
Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab +2
Training Artificial Neural Networks poses a challenging and critical problem in machine learning. Despite the effectiveness of gradient-based learning methods, such as Stochastic G…
Compact NSGA-II for Multi-objective Feature Selection
Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli
Feature selection is an expensive challenging task in machine learning and data mining aimed at removing irrelevant and redundant features. This contributes to an improvement in cl…
Multi-objective Binary Coordinate Search for Feature Selection
Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli
A supervised feature selection method selects an appropriate but concise set of features to differentiate classes, which is highly expensive for large-scale datasets. Therefore, fe…
A Deep Learning Approach Towards Generating High-fidelity Diverse Synthetic Battery Datasets
Janamejaya Channegowda, Vageesh Maiya, Chaitanya Lingaraj
Recent surge in the number of Electric Vehicles have created a need to develop inexpensive energy-dense Battery Storage Systems. Many countries across the planet have put in place…