Robust human locomotion and localization activity recognition over multisensory
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
[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 …
[HTML][HTML] Analytical study of nonlinear models using a modified Schrödinger's equation and logarithmic transformation
Optical solitons are special waves that maintain their shape while traveling. Hence, solitary
optical waves have great significance when it comes to representing pulse propagation …
optical waves have great significance when it comes to representing pulse propagation …
Abundant optical solitons to the (2+ 1)-dimensional Kundu-Mukherjee-Naskar equation in fiber communication systems
Abstract The Kundu-Mukherjee-Naskar equation holds significant relevance as a nonlinear
model for investigating intricate wave phenomena in fluid and optical systems. This study …
model for investigating intricate wave phenomena in fluid and optical systems. This study …
Non-orthogonal multiple access enabled mobile edge computing in 6G communications: A systematic literature review
Mobile edge computing (MEC) supported by non-orthogonal multiple access (NOMA) has
recently gained a lot of interest due to its improved ability to lessen power consumption and …
recently gained a lot of interest due to its improved ability to lessen power consumption and …
Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
Abstract Accurate prediction of Land Surface Temperature (LST) is critical for understanding
and mitigating the effects of climate change and land use dynamics. This study proposes a …
and mitigating the effects of climate change and land use dynamics. This study proposes a …
An optimal task scheduling method in IoT-Fog-Cloud network using multi-objective moth-flame algorithm
Nowadays, cloud and fog computing have been leveraged to enhance Internet of Things
(IoT) performance. The outstanding potential of cloud platforms accelerates the processing …
(IoT) performance. The outstanding potential of cloud platforms accelerates the processing …
Transforming transportation: Safe and secure vehicular communication and anomaly detection with intelligent cyber–physical system and deep learning
Intelligent Cyber-Physical Transportation Systems (ICTS) rely deeply on data exchange
between moving vehicles and fixed infrastructure. While exchanging data between vehicles …
between moving vehicles and fixed infrastructure. While exchanging data between vehicles …
Vehicle detection and classification via YOLOv8 and deep belief network over aerial image sequences
Vehicle detection and classification are the most significant and challenging activities of an
intelligent traffic monitoring system. Traditional methods are highly computationally …
intelligent traffic monitoring system. Traditional methods are highly computationally …
[HTML][HTML] Applying a transformation-based method to extract optical traveling waves from the Kundu–Mukherjee–Naskar equation
Y Tang - Results in Physics, 2023 - Elsevier
Optical solitons are solitary waves that propagate without changing shape due to a balance
between dispersion and nonlinearity in the medium. Therefore, solitary optical waves are …
between dispersion and nonlinearity in the medium. Therefore, solitary optical waves are …