Suresh Jaganathan
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View article: Design and analysis of reinforcement learning models for automated penetration testing
Design and analysis of reinforcement learning models for automated penetration testing Open
Our paper proposes a framework to automate penetration testing by utilizing reinforcement learning (RL) capabilities. The framework aims to identify and prioritize vulnerable paths within a network by dynamically learning and adaptin…
View article: Design of Attendance Ledger using Hyperledger Framework
Design of Attendance Ledger using Hyperledger Framework Open
View article: Ledger on internet of things: a blockchain framework for resource-constrained devices
Ledger on internet of things: a blockchain framework for resource-constrained devices Open
The increasing use of resource-constrained devices such as the internet of things (IoT) in various applications has led to the need for an optimized blockchain framework for these devices. Blockchain-based IoT networks allow businesses to …
View article: A Case Report on Anaesthetic Management of Lower Limb Fracture in an Adult with Uncorrected Tetralogy of Fallot
A Case Report on Anaesthetic Management of Lower Limb Fracture in an Adult with Uncorrected Tetralogy of Fallot Open
Tetralogy of Fallot is one of the commonest forms of cyanotic congenital heart disease. The treatment strategies currently used in the treatment of ToF result in excellent long-term survival (30-year survival ranges from 68.5% to 90.5%). U…
View article: Adaptive Bayesian contextual hyperband: A novel hyperparameter optimization approach
Adaptive Bayesian contextual hyperband: A novel hyperparameter optimization approach Open
Hyperparameter tuning plays a significant role when building a machine learning or a deep learning model. The tuning process aims to find the optimal hyperparameter setting for a model or algorithm from a pre-defined search space of the hy…
View article: Concomitant Fat Embolism Syndrome and Pulmonary Embolism—A Hidden Enemy in Polytrauma Patient: A Case Report
Concomitant Fat Embolism Syndrome and Pulmonary Embolism—A Hidden Enemy in Polytrauma Patient: A Case Report Open
REPORTshe had gradually increasing respiratory distress with desaturation.Electrocardiography showed sinus tachycardia with an S1QT3 pattern.Echocardiography revealed dilatation of the right atrium and right ventricle with moderate pulmona…
View article: Convolutional auto-encoded extreme learning machine for incremental learning of heterogeneous images
Convolutional auto-encoded extreme learning machine for incremental learning of heterogeneous images Open
In real-world scenarios, a system's continual updating of learning knowledge becomes more critical as the data grows faster, producing vast volumes of data. Moreover, the learning process becomes complex when the data features become…
View article: A Model for Diagnosing Autism Patients Using Spatial and Statistical Measures Using rs-fMRI and sMRI by Adopting Graphical Neural Networks
A Model for Diagnosing Autism Patients Using Spatial and Statistical Measures Using rs-fMRI and sMRI by Adopting Graphical Neural Networks Open
This article proposes a model to diagnose autism patients using graphical neural networks. A graphical neural network relates the subjects (nodes) using the features (edges). In our model, radiomic features obtained from sMRI are used as e…
View article: Computational Intelligence in Data Science
Computational Intelligence in Data Science Open
View article: Land Registration: Use-case of e-Governance using Blockchain Technology
Land Registration: Use-case of e-Governance using Blockchain Technology Open
e-Governance is a medium to offer various services to citizens through a web portal, that exists in many countries nowadays.The existing e-Governance technology is a vast, centrally managed database and a set of applications that connect t…
View article: A quick synopsis of Blockchain Technology
A quick synopsis of Blockchain Technology Open
Blockchain evolved as a core technology of Bitcoin, and earned a significant attraction for entrepreneurs and researchers nowadays. The blockchain is an open, immutable distributed public ledger that allows transactions to take place in a …
View article: Incremental Learning for Classification of Unstructured Data Using Extreme Learning Machine
Incremental Learning for Classification of Unstructured Data Using Extreme Learning Machine Open
Unstructured data are irregular information with no predefined data model. Streaming data which constantly arrives over time is unstructured, and classifying these data is a tedious task as they lack class labels and get accumulated over t…