Ghulam Abbas

TL;DR: A novel energy-efficientDeep learning based offloading scheme (EEDOS) to train a deep learning based smart decision-making algorithm that selects an optimal set of application components based on remaining energy of UEs, energy consumption by application components, network conditions, computational load, amount of data transfer, and delays in communication is proposed.

TL;DR: A study on the existing approaches for the detection of unsafe driving patterns of a vehicle used to predict accidents and some of the critical open questions that need to be addressed for road safety using AI techniques are identified.

TL;DR: Experiential analysis of ML techniques for classifying the kidney patient dataset as CKD or NOTCKD shows that CHIRP performs well in terms of diminishing error rates and improving accuracy.

TL;DR: In this article, a reinforcement learning-based technique was proposed to guarantee identification of the impersonator based on channel gains in device-to-device (D2D) communications, where the channel gain between a transmitter and a receiver is difficult to predict due to channel variations.

TL;DR: An enhanced Genetic Algorithm (GA)-based feature selection method, named as GA-based Feature Selection (GbFS), is contributed, to increase the classifiers’ accuracy in the domain of network security and intrusion detection.