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IEEE1d
Prediction of U2R attack in Wireless Networks using Novel CNN Alexnet in Comparison with Random Forest Algorithm - IEEE Xplore
The main objective of proposed research is to employ DL (Deep Learning) models to predict User-to-Root (U2R) attack using CNN (Convolution Neural Network) Alexnet. In this study, the dataset used was ...
Improving randomness may be the key to more powerful quantum computers
Understanding randomness is crucial in many fields. From computer science and engineering to cryptography and weather ...
IEEE4d
Chaotic Random Opposition-Based Learning and Cauchy Mutation Improved Moth-Flame Optimization Algorithm for Intelligent Route Planning of Multiple UAVs - IEEE Xplore
UAV route planning is the key issue for application of UAV in real-world scenarios. Compared with the traditional route planning methods, although the intelligent optimization algorithm has stronger ...