Mohsen Guizani

TL;DR: This paper uses transfer learning to update the instance weights and combines the weight with rejection sampling to construct the training set and provides a black box for transfer learning and a possibility for building multi-classification transfer learning.

TL;DR: This paper proposes joint data and energy transfer optimization frameworks for powering mobile wireless devices through RF energy harvesting, and introduces a power utility that captures the power consumption cost at the base station and the used power from the users’ batteries.

TL;DR: In this article , a novel blockchain-based approach is introduced to manage multi-drone collaboration during a swarm operation. And the authors aim to improve the security of the consensus achievement process of multidrone collaboration, energy efficiency, and connectivity during the environment's exploration while maintaining consensus achievement effectiveness.

TL;DR: This paper addresses both causal and non-causal channel state information cases at the relay-destination link and evaluates the tradeoff associated with information/power transfer in the context of minimization of outage probability.

TL;DR: Wang et al. as mentioned in this paper proposed a malicious mining code detection method based on feature fusion and machine learning, which achieved the recognition accuracy of 98.0%, its f1 score reached 0.969, and the ROCs AUC reach 0.973.