Cognitive dynamic systems: A review of theory, applications, and recent advances

W Hilal, SA Gadsden, J Yawney - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
The field of cognitive dynamic systems (CDSs) is an emerging area of research, whereby
engineering learns from neuroscience. Under this framework, engineering systems are …

AI‐Enabled Sensing and Decision‐Making for IoT Systems

H Qinxia, S Nazir, M Li, H Ullah Khan, W Lianlian… - …, 2021 - Wiley Online Library
The influential stage of Internet of Things (IoT) has reformed all fields of life in general but
specifically with the emergence of artificial intelligence (AI) has drawn the attention of …

Trading-based dynamic spectrum access and allocation in cognitive Internet of Things

F Li, KY Lam, L Meng, H Luo, L Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Next-generation mobile communication networks promise the support for vast number of IoT
devices with strong demand for spectrum access. The cater for the continuous growth of IoT …

[HTML][HTML] Energy/area-efficient scalar multiplication with binary Edwards curves for the IoT

CA Lara-Nino, A Diaz-Perez, M Morales-Sandoval - Sensors, 2019 - mdpi.com
Making Elliptic Curve Cryptography (ECC) available for the Internet of Things (IoT) and
related technologies is a recent topic of interest. Modern IoT applications transfer sensitive …

[HTML][HTML] A cognitive-inspired event-based control for power-aware human mobility analysis in IoT devices

R Pérez-Torres, C Torres-Huitzil, H Galeana-Zapién - Sensors, 2019 - mdpi.com
Mobile Edge Computing (MEC) relates to the deployment of decision-making processes at
the network edge or mobile devices rather than in a centralized network entity like the cloud …

[HTML][HTML] Cognitive internet of things-based framework for efficient consumption of electrical energy in public higher learning institutions

EA Kalinga, S Bazila, K Ibwe, AT Abdalla - Journal of Electrical Systems …, 2023 - Springer
Electric energy is widely used to power homes, businesses, industries, and Higher Learning
Institutions. However, the behavioral trend of using electricity poses challenges in saving …

[PDF][PDF] Deep Learning to Classify Pulmonary Infectious Diseases

RE Gonzalez Landaeta, DL Flores… - Instituto de Ingeniería …, 2024 - cathi.uacj.mx
Nowadays, in a very huge number of engineering applications one can infer the use of
machine learning methods. From the sensing of data, one can infer the necessity of signal …

[HTML][HTML] A spatio-temporal approach to individual mobility modeling in on-device cognitive computing platforms

R Pérez-Torres, C Torres-Huitzil, H Galeana-Zapién - Sensors, 2019 - mdpi.com
The increased availability of GPS-enabled devices makes possible to collect location data
for mining purposes and to develop mobility-based services (MBS). For most of the MBSs …

[PDF][PDF] Métodos de Criptografía Ligera para brindar Servicios de Seguridad al Internet de las Cosas

CA Lara-Nino, A Diaz-Perez, M Morales-Sandoval - tamps.cinvestav.mx
RESUMEN El Internet de las Cosas (IoT) 1 es una tecnología emergente que promete
revolucionar la forma en la que interactuamos con el mundo. Bajo este paradigma, objetos …