A novel and comprehensive trust estimation clustering based approach for large scale wireless sensor networks
With the wide applications of wireless sensor networks (WSNs) in various fields, such as
environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust …
environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust …
Improved COVID-19 detection with chest x-ray images using deep learning
The novel coronavirus disease, which originated in Wuhan, developed into a severe public
health problem worldwide. Immense stress in the society and health department was …
health problem worldwide. Immense stress in the society and health department was …
Prediction of Air Pollution Index in Kuala Lumpur using fuzzy time series and statistical models
JW Koo, SW Wong, G Selvachandran, HV Long… - Air Quality, Atmosphere …, 2020 - Springer
Air pollutants can cause multifaceted harm to the human body. Respiratory diseases and
immunology dysfunction are some of its main manifestations. Forecasting the air quality of a …
immunology dysfunction are some of its main manifestations. Forecasting the air quality of a …
Multi-attribute multi-perception decision-making based on generalized T-spherical fuzzy weighted aggregation operators on neutrosophic sets
The framework of the T-spherical fuzzy set is a recent development in fuzzy set theory that
can describe imprecise events using four types of membership grades with no restrictions …
can describe imprecise events using four types of membership grades with no restrictions …
Probability-based cluster head selection and fuzzy multipath routing for prolonging lifetime of wireless sensor networks
YH Robinson, EG Julie, R Kumar, LH Son - Peer-to-Peer Networking and …, 2019 - Springer
In this paper, we propose a new power-aware routing protocol for Wireless Sensor Network
(WSN) based on the threshold rate and fuzzy logic for improving energy efficiency. The …
(WSN) based on the threshold rate and fuzzy logic for improving energy efficiency. The …
Adaptive convolutional neural network using N-gram for spatial object recognition
Remote sensing applications are playing a vital role to improve the commercial satellite
imagery with high resolution. In the spatial information system, object detection is the basic …
imagery with high resolution. In the spatial information system, object detection is the basic …
AVRM: adaptive void recovery mechanism to reduce void nodes in wireless sensor networks
Nowadays, routing in three-dimensional environments is necessary since sensor nodes are
organized in those kinds of areas. In this routing mechanism, data packets are routed using …
organized in those kinds of areas. In this routing mechanism, data packets are routed using …
[HTML][HTML] El uso de la Lógica Difusa en las ciencias sociales y el mundo rural
CEQ Castellanos - Problemas sociales complejos y políticas …, 2022 - books.google.com
Del año 2000 a la fecha, el uso del análisis de Lógica Difusa (LD) en las ciencias sociales
ha aumentado. En la plataforma Scopus, por ejemplo, se contabilizan 229 entradas de …
ha aumentado. En la plataforma Scopus, por ejemplo, se contabilizan 229 entradas de …
[PDF][PDF] DOCTORADO EN POLÍTICAS PÚBLICAS Y DESARROLLO
CEQ Castellanos, CR López - riudg.udg.mx
La pregunta general de la tesis es la siguiente¿ Los cambios del sistema agroindustrial
cañero mexicano tuvieron efectos sobre la desigualdad en los municipios jaliscienses? Esta …
cañero mexicano tuvieron efectos sobre la desigualdad en los municipios jaliscienses? Esta …