Adventures in data analysis: A systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
[HTML][HTML] Beyond encryption: Exploring the potential of physical layer security in UAV networks
Unmanned aerial vehicles (UAVs) have attracted much attention for civil and military uses
because of their high mobility and adaptable deployment capabilities in open spaces. They …
because of their high mobility and adaptable deployment capabilities in open spaces. They …
AoI-sensitive data collection in multi-UAV-assisted wireless sensor networks
X Gao, X Zhu, L Zhai - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) is widely used in some scenes with high requirements
for information freshness. Due to the limited endurance of the UAV, especially in the scenes …
for information freshness. Due to the limited endurance of the UAV, especially in the scenes …
The optimization of nodes clustering and multi-hop routing protocol using hierarchical chimp optimization for sustainable energy efficient underwater wireless sensor …
S He, Q Li, M Khishe, A Salih Mohammed… - Wireless networks, 2024 - Springer
The design of underwater wireless sensor networks (UWSNs) faces many challenges,
including power consumption, storage, battery life, and transmission bandwidth. UWSNs …
including power consumption, storage, battery life, and transmission bandwidth. UWSNs …
A NOMA and MRC enabled framework in drone-relayed vehicular networks: Height/trajectory optimization and performance analysis
In this article, we present a drone-relayed vehicular networking architecture, which aims to
improve the achievable data rate of cell-edge vehicles in rural highway scenarios …
improve the achievable data rate of cell-edge vehicles in rural highway scenarios …
A novel many-objective sine–cosine algorithm (maosca) for engineering applications
In recent times, numerous innovative and specialized algorithms have emerged to tackle two
and three multi-objective types of problems. However, their effectiveness on many-objective …
and three multi-objective types of problems. However, their effectiveness on many-objective …
ISAC from the sky: UAV trajectory design for joint communication and target localization
Integrated sensing and communication (ISAC) is studied in the airborne domain, where
Unmanned Aerial Vehicles (UAVs) act as communication base stations and radars …
Unmanned Aerial Vehicles (UAVs) act as communication base stations and radars …
Intelligent chatbot interaction system capable for sentimental analysis using hybrid machine learning algorithms
Chatbots actively help the human user through digital conversation through NLP based on
artificial intelligence (AI). It can be pre-trained to understand the user's queries and produce …
artificial intelligence (AI). It can be pre-trained to understand the user's queries and produce …
Unmanned aerial systems and deep learning for safety and health activity monitoring on construction sites
Construction is a highly hazardous industry typified by several complex features in dynamic
work environments that have the possibility of causing harm or ill health to construction …
work environments that have the possibility of causing harm or ill health to construction …