Shah Khalid Khan

TL;DR: A variety of text representation methods, and model designs have blossomed in the context of NLP, including SOTA LMs are described, which can transform large volumes of text into effective vector representations capturing the same semantic information.

TL;DR: This study aims to analyse, synthesise, and interpret critical areas for the roll-out and progression of CAVs in combating cyber-attacks, and presents the CAVs communication framework in an integrated form, i.e., from In-Vehicle (IV) communication to Vehicle-to-Vehicles (V2X) communication with a visual flowchart to provide a transparent picture of all the interfaces for potential cyber- attacks.

TL;DR: For a survey of word representation models and its power of expression, from the classical to modern-day state-of-the-art word representation language models (LMS), see as mentioned in this paper.

TL;DR: A consolidated synthesis on the role of UAVs and mmWave in 5G, emphasis on recent developments and challenges, and the scope of artificial intelligence and machine learning techniques as an efficient solution for combating the dynamic and complex nature of U AV‐based cellular communication networks are discussed.

TL;DR: This study investigates, analyzes and describes the distinctive rich characteristics of mmWave propagation in Access and backhaul network simultaneously using UAV, and highlights the impact of UAV location to maximize the performance of an Amplify-and-Forward UAV based relay for providing enhanced coverage to the users.