Alireza Jolfaei

TL;DR: This article proposes a learning-based channel selection framework with service reliability awareness, energy awareness, backlog awareness, and conflict awareness, by leveraging the combined power of machine learning, Lyapunov optimization, and matching theory, and proves that the proposed framework can achieve guaranteed performance.

TL;DR: A class of n-order nonlinear systems is considered as a model of CPS while it is in presence of cyber attacks only in the forward channel, and an intelligent-classic control system is developed to compensate cyber-attacks.

TL;DR: This present study focuses on applying machine learning model for classifying tomato disease image dataset to proactively take necessary steps to combat such agricultural crisis.

TL;DR: It is proved that in all permutationonly image ciphers, regardless of the cipher structure, the correct permutation mapping is recovered completely by a chosenplaintext attack, which significantly outperforms the state-of-theart cryptanalytic methods.

TL;DR: Challenges and recommendations for SSC network traffic classification with the dataset of features are presented and some well-known and most used datasets with details statistical features are described.