A fluid approach to model and assess the energy level of autonomous devices in iot with solar energy harvesting capability
O Nourredine, D Abderrezak… - 2022 5th International …, 2022 - ieeexplore.ieee.org
This paper proposes new modeling of autonomous devices in Internet of Things (IoT) using
extended Hybrid Petri nets (xHPN). This formulation uses the continuous concept of battery …
extended Hybrid Petri nets (xHPN). This formulation uses the continuous concept of battery …
A deep learning approach for the diabetic retinopathy detection
Diabetic retinopathy is a severe retinal disease that can blur or distort the vision of the
patient. It is one of the leading causes of blindness. Early detection of diabetic retinopathy …
patient. It is one of the leading causes of blindness. Early detection of diabetic retinopathy …
Lightweight anonymous authentication and key agreement protocol based on coap of internet of things
X Gong, T Feng - Sensors, 2022 - mdpi.com
To solve the problem regarding the lack of a lightweight and secure authentication and key
agreement protocol in the Constrained Application Protocol of the Internet of Things …
agreement protocol in the Constrained Application Protocol of the Internet of Things …
Leveraging the power of machine learning for performance evaluation prediction in wireless sensor networks
Formal methods are widely exploited in the performance evaluation of Wireless Sensor
Networks (WSNs) protocols and algorithms. These methods help researchers to model and …
Networks (WSNs) protocols and algorithms. These methods help researchers to model and …
Towards performance evaluation prediction in WSNs using artificial neural network multi-perceptron
The use of formal methods in specifying and verifying WSNs protocols attracts several
researchers. However, based practically on state-space exploration, these formal methods …
researchers. However, based practically on state-space exploration, these formal methods …
A new formal approach for performance evaluation of green MAC protocol in energy harvesting WSNs
Wireless sensor networks (WSNs) are intrinsically energy-constrained networks.
Researchers have proposed the integration of energy harvesting technologies into sensor …
Researchers have proposed the integration of energy harvesting technologies into sensor …
Early prediction of ICU admission within COVID-19 patients using machine learning techniques
The COVID-19 pandemic has become a great challenge for healthcare systems due to the
urgent need for ICUs that exceeded their capacity. Determining critical patients that require …
urgent need for ICUs that exceeded their capacity. Determining critical patients that require …
Boosting RUL prediction using a hybrid deep CNN-BLSTM architecture
Reliable estimation of remaining useful life (RUL) is a critical challenge in prognostics and
health management (PHM), enabling the industry to better schedule future maintenance …
health management (PHM), enabling the industry to better schedule future maintenance …
A comprehensive review of energy efficient wireless communication and routing protocols in smart agriculture
V Nandal, S Dahiya - International Journal of Sensor …, 2023 - inderscienceonline.com
In this review, the current applications of wireless sensor networks (WSNs) in the agriculture
field classify and compare various wireless protocols such as ZigBee wireless protocol …
field classify and compare various wireless protocols such as ZigBee wireless protocol …
A GSPN-based formalism under infinite-server semantics for reconfigurable WANETs
Reconfigurable wireless ad hoc networks (R-WANETs) constitute a well-known paradigm of
networks that change their structure to fulfill dynamic requirements and/or respond to their …
networks that change their structure to fulfill dynamic requirements and/or respond to their …