Deep learning with conceptual view in meta data for content categorization

R Asokan, P Preethi - … Applications and Intelligent Decision Making in …, 2021 - igi-global.com
Data gathered from various devices have to be observed by human operators manually for
extended durations which is not viable and may lead to imprecise results. Data are analyzed …

A Novel Prognostic Model Using Chaotic CNN with Hybridized Spoofing for Enhancing Diagnostic Accuracy in Epileptic Seizure Prediction

P Palanisamy, S Urooj, R Arunachalam… - Diagnostics, 2023 - mdpi.com
Epileptic seizure detection has undergone progressive advancements since its conception
in the 1970s. From proof-of-concept experiments in the latter part of that decade, it has now …

Contextual cluster-based glow-worm swarm optimization (GSO) coupled wireless sensor networks for smart cities

PS Ramesh, P Srivani, M Mahdal, L Sivaranjani… - Sensors, 2023 - mdpi.com
The cluster technique involves the creation of clusters and the selection of a cluster head
(CH), which connects sensor nodes, known as cluster members (CM), to the CH. The CH …

A Review on Cloud Cryptography Techniques to Improve Security in E-health Systems

AP Nirmala, A Christi - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
In last few years there has been a rapid growth of innovation in Information Technology
which provided a better wellbeing and development in Health care system to adopt E-health …

A meta-classification model for optimized zbot malware prediction using learning algorithms

S Jagan, A Ashish, M Mahdal, KR Isabels, J Dhanke… - Mathematics, 2023 - mdpi.com
Botnets pose a real threat to cybersecurity by facilitating criminal activities like malware
distribution, attacks involving distributed denial of service, fraud, click fraud, phishing, and …

[PDF][PDF] Fuzzy Based Latent Dirichlet Allocation for Intrusion Detection in Cloud Using ML.

S Ranjithkumar… - Computers, Materials & …, 2022 - pdfs.semanticscholar.org
The growth of cloud in modern technology is drastic by provisioning services to various
industries where data security is considered to be common issue that influences the …

Deep Learning-based Prediction of Parkinson's Disease Progression using Voice Recordings

VD Alagdeve, JG Thatipudi, P Roy… - … Conference on I …, 2023 - ieeexplore.ieee.org
The main underlying factor behind Parkinson's Disease (PD) is the degeneration of brain
cells responsible for producing dopamine, a neurotransmitter crucial for interconnecting …

A novel technique based on mutual information weighted feature selection to predict chronic kidney disease

S Savitha, A Rajiv Kannan - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Abstract Chronic Kidney Disease (CKD) is a crucial life-threatening condition due to
impaired kidney functionality and renal disease. In recent studies, Kidney disorder is …

Implementation of hybrid cryptographic schemes in a cloud environment for enhanced medical data security

A Priya, S Saradha - International Journal of Nonlinear Analysis …, 2021 - ijnaa.semnan.ac.ir
Nowadays, several security architectures in cloud computing were employed in several
applications, but they failed to secure the cloud data entirely. The current approaches use …

An Intelligent Blockchain based Framework for secured Cryptocurrency Exchanges to Detect Fraudulent Transactions

N Sivakumar… - 2024 15th International …, 2024 - ieeexplore.ieee.org
Over the course of the past several years, the swift growth and widespread use of
cryptocurrencies have altered the face of the financial industry, presenting both opportunities …