8 Result(s)
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Chapter and Conference Paper
Hash Based Incremental Optimistic Concurrency Control Algorithm in Distributed Databases
In this paper, we present a methodology that represents an excellent blossom in the concurrency control environment. It deals with anomalies and assures the reliability of the data before read-write transactio...
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Article
Estimation of critical dimensions for a trapezoidal-shaped steel fin using hybrid differential evolution algorithm
This paper deals with the inverse prediction of parameters in a trapezoidal fin with temperature-dependent thermal conductivity and heat transfer coefficient. Three critical dimensions along with the relevant ...
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Article
A nested stacking ensemble model for predicting districts with high and low maternal mortality ratio (MMR) in India
The ensemble is an efficacious machine learning framework that combines variety of algorithms for better performance and effective prediction. Over the past few years, numerous researchers proposed wide variet...
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Article
GBoost: A novel Grading-AdaBoost ensemble approach for automatic identification of erythemato-squamous disease
Ensemble learning is one of the powerful machine learning approaches that is generally used to strengthen models by combining the performances of several weak learners. It holds a great potential for solving u...
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Article
Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic
The pandemic of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is spreading all over the world. Medical health care systems are in urgent need to diagnose this pandemic with the support of new em...
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Chapter and Conference Paper
Using Recursive Feature Elimination and Fisher Score with Convolutional Neural Network for Identifying Port Scan Attempts
Port scanning is a frequently used service in the internet with its usage done by both network defenders as well as attackers. Detecting Port scan attempts is of vital importance to prevent attackers from gain...
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Chapter and Conference Paper
Deep Learning Approach Based on ADASYN for Detection of Web Attacks in the CICIDS2017 Dataset
The increased usage of web-based applications, vast number of web users, and emphasis on data storage on the web have been both productive and constructive but it also exposes vulnerabilities in the system. Th...
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Article
NestEn_SmVn: boosted nested ensemble multiplexing to diagnose coronary artery disease
Coronary artery disease (CAD) is the most prominent disease that is responsible for increasing mortality and morbidity rate from past few decades. Early and accurate detection of CAD (a type of cardiovascular ...
