A survey on reinforcement learning in aviation applications

P Razzaghi, A Tabrizian, W Guo, S Chen… - arXiv preprint arXiv …, 2022 - arxiv.org
Compared with model-based control and optimization methods, reinforcement learning (RL)
provides a data-driven, learning-based framework to formulate and solve sequential …

Prompt engineering for healthcare: Methodologies and applications

J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …

Significant features and applications of Drones for Healthcare: An overview

M Javaid, A Haleem, IH Khan, RP Singh… - Journal of Industrial …, 2022 - World Scientific
The revolutionary digital technology of drones, also known as unmanned aerial vehicles
(UAVs), has altered healthcare. This technology proved highly effective for healthcare …

Embedded payload solutions in UAVs for medium and small package delivery

M Saponi, A Borboni, R Adamini, R Faglia, C Amici - Machines, 2022 - mdpi.com
Investigations about the feasibility of delivery systems with unmanned aerial vehicles (UAVs)
or drones have been recently expanded, owing to the exponential demand for goods to be …

Comparative study of pre-trained language models for text classification in smart agriculture domain

S Yadav, A Kaushik - Advances in Data-driven Computing and Intelligent …, 2023 - Springer
Disruptive technologies (DTs) have infiltrated and revolutionized several fields. The data
collected from Internet of Things (IoT) devices can be leveraged for performance review …