Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dhrgam AL Kafaf"'
Publikováno v:
Journal of Applied Engineering and Technological Science, Vol 5, Iss 2 (2024)
This study delves into the investigation of the efficacy of Convolutional Neural Networks (CNNs) in identifying malaria through the examination of cell images. The dataset employed encompasses a total of 27,558 images, harvested from the renowned Mal
Externí odkaz:
https://doaj.org/article/8d9454ef6be34210a838b6d7d8d2bea7
Publikováno v:
Complex Adaptive Systems Modeling, Vol 6, Iss 1, Pp 1-24 (2018)
A self-adaptive system adapts itself to changes in a dynamic environment. The core in self-adaptive systems is making an adaptation decision. The current practice focuses on a single layer of decision making using either a local knowledge base or a s
Autor:
Dhrgam Al Kafaf, Dae-Kyoo Kim
Publikováno v:
Computers & Electrical Engineering. 63:260-276
The current development on self-adaptive systems mainly focuses on autonomy and self-containment where decision-making solely depends on the local knowledge base within the system. This limits the evolution of the knowledge base for making more preci
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Distributed real-time systems such as internet of things (IoT) systems and smart grid systems have been dramatically pervasive during the last several years. Many technologies have emerged accordingly to support their development. One of prominent te