Rough sets in COVID-19 to predict symptomatic cases
Rough set theory is a new mathematical or set-theoretical practice to study inadequate
knowledge. There are many use cases in the real world where there is a lack of crisp …
knowledge. There are many use cases in the real world where there is a lack of crisp …
Machine learning-based state-of-the-art methods for the classification of rna-seq data
Ribonucleic acid sequencing (RNA-Seq) measures the expression levels of several
transcripts simultaneously. The readings can be gene, exon, or other regions of interest …
transcripts simultaneously. The readings can be gene, exon, or other regions of interest …
A feature selection technique based on rough set and improvised PSO algorithm (PSORS-FS) for permission based detection of Android malwares
The set of permissions required by any Android app during installation time is considered as
the feature set which are used in permission based detection of Android malwares. Those …
the feature set which are used in permission based detection of Android malwares. Those …
A statistical comparison for evaluating the effectiveness of linear and nonlinear manifold detection techniques for software defect prediction
Most of the software systems are released without predicting defects and therefore, this
paper presents a new effective technique-manifold detection technique (MDT) is essential …
paper presents a new effective technique-manifold detection technique (MDT) is essential …
PCA as dimensionality reduction for large-scale image retrieval systems
Dimensionality reduction in large-scale image research plays an important role for their
performance in different applications. In this paper, we explore Principal Component …
performance in different applications. In this paper, we explore Principal Component …
Recognizing driving behavior and road anomaly using smartphone sensors
Road traffic accidents are caused 1.25 million deaths per year worldwide. To improve road
safety and reducing road accidents, a recognition method for driving events is introduced in …
safety and reducing road accidents, a recognition method for driving events is introduced in …
[PDF][PDF] BoPCOVIPIP: Capturing the Dynamics of Marketing Mix Among Bottom of Pyramid Consumers during COVID-19
The behaviour of consumers mostly follows the guidelines derived from marketing theories
and models. But under some unavoidable circumstances, the consumers show a complete …
and models. But under some unavoidable circumstances, the consumers show a complete …
[KNIHA][B] Privacy and security policies in big data
In recent years, technological advances have led to significant developments within a variety
of business applications. In particular, data-driven research provides ample opportunity for …
of business applications. In particular, data-driven research provides ample opportunity for …
Statistical assessment of nonlinear manifold detection-based software defect prediction techniques
Prediction of software defects has immense importance for obtaining desired outcome at
minimised cost and so attracted researchers working on this topic applying various …
minimised cost and so attracted researchers working on this topic applying various …
Community based feature selection method for detection of android malware
The amount of malware has been rising drastically as the Android operating system enabled
smartphones and tablets are gaining popularity around the world in last couple of years …
smartphones and tablets are gaining popularity around the world in last couple of years …