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Improving quality‐of‐service in fog computing through efficient resource allocation
SK Mani, I Meenakshisundaram - Computational Intelligence, 2020 - Wiley Online Library
In today's world, large group migration of applications to the fog computing is registered in
the information technology world. The main issue in fog computing is providing enhanced …
the information technology world. The main issue in fog computing is providing enhanced …
Itl-cnn: Integrated transfer learning-based convolution neural network for ultrasound pcos image classification
In recent years, Polycystic Ovary Syndrome (PCOS) becomes one of the most prominent
research areas, where several researchers are concentrating to improve the accuracy of …
research areas, where several researchers are concentrating to improve the accuracy of …
Privacy preservation of data using crow search with adaptive awareness probability
J Mandala, MVPCS Rao - Journal of information security and applications, 2019 - Elsevier
Abstract Information security and privacy in the healthcare sector is a concern of increasing
significance. The adoption of increased regulation, digital patient records, provider …
significance. The adoption of increased regulation, digital patient records, provider …
Active contour with modified Otsu method for automatic detection of polycystic ovary syndrome from ultrasound image of ovary
Polycystic ovary syndrome (PCOS) disorder is identified by the presence of a number of
follicles present in the ovary of female reproductive system. Ultrasound imaging of the ovary …
follicles present in the ovary of female reproductive system. Ultrasound imaging of the ovary …
Genetically modified glowworm swarm optimization based privacy preservation in cloud computing for healthcare sector
MM Annie Alphonsa, P Amudhavalli - Evolutionary Intelligence, 2018 - Springer
Cloud computing is a computing paradigm that provides vibrant accessible infrastructure for
data, application and file storage as well. This technology advancement benefits in a …
data, application and file storage as well. This technology advancement benefits in a …
Optimal localization and sizing of UPFC to solve the reactive power dispatch problem under unbalanced conditions
SSS Kapse, MB Daigavane… - IETE Journal of …, 2020 - Taylor & Francis
This paper presents an algorithm to solve the multi-objective Optimal Reactive Power
Dispatch (ORPD) problem in an unbalanced bus system. Unlike the traditional ORPD …
Dispatch (ORPD) problem in an unbalanced bus system. Unlike the traditional ORPD …
A novel adaptive second-order sliding mode controller for autonomous underwater vehicles
Navigating, directing, and controlling autonomous underwater vehicles (AUVs) are
demanding and considered complicated compared to the autonomous surface-level …
demanding and considered complicated compared to the autonomous surface-level …
[PDF][PDF] Detection of polycystic ovary syndrome from ultrasound images using SIFT descriptors
Polycystic Ovary Syndrome (PCOS) is a reproductive metabolic complexity described by the
quantity of follicles present in the ovary. Ultrasound imaging of the ovary contains basic data …
quantity of follicles present in the ovary. Ultrasound imaging of the ovary contains basic data …
Medical image security enhancement using two dimensional chaotic map** optimized by self-adaptive grey wolf algorithm
The development of encryption and decryption plays a vital role in the field of security.
Recently, Chaos-based security has suggested the reliable and efficient way of securing the …
Recently, Chaos-based security has suggested the reliable and efficient way of securing the …
Social internet of things using big data analytics and security aspects-a review
SD Arul, M Iyapparaja - Electronic Government, an …, 2020 - inderscienceonline.com
The rapid development of technologies in today's world has become interesting that made
millions of people to utilise the major advantages in it. Two main technologies that were …
millions of people to utilise the major advantages in it. Two main technologies that were …