Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Satish M. Srinivasan"'
Publikováno v:
Journal of Cybersecurity and Privacy, Vol 3, Iss 2, Pp 166-190 (2023)
Recent advances in machine learning have created an opportunity to embed artificial intelligence in software-intensive systems. These artificial intelligence systems, however, come with a new set of vulnerabilities making them potential targets for c
Externí odkaz:
https://doaj.org/article/514b2c8f37fb43d89cac261b050f2a2f
Publikováno v:
Procedia Computer Science. 185:248-255
This work proposes a data-driven model that uses data on natural disasters from the National Oceanic and Atmospheric Administration (NOAA) to enable predictive analytics and simulation of disruptions caused by natural hazards. Random generation of di
Publikováno v:
Procedia Computer Science. 185:256-263
The L1000 dataset, containing gene microarray data from 978 landmark genes has been previously shown to accurately predict expression of ~81% of the remaining 21,290 target genes. Microarray data was utilized to characterize groups of tissue types wi
Publikováno v:
Procedia computer science 185, 264-273 (2021). doi:10.1016/j.procs.2021.05.028
Complex Adaptive Systems Conference Theme: Big Data, IoT, and AI for a Smarter Future
Complex Adaptive Systems Conference Theme: Big Data, IoT, and AI for a Smarter Future
This study compares disease classification based on landmark and non-landmark gene expression data, and clinical variable using multiple machine-learning models. The influence of the number of principal components and the genes were also investigated
Publikováno v:
IEEE Systems Journal. 14:1353-1364
This paper proposes a discrete-time Markov chain-based ranking algorithm to rank critical activities in development processes for complex systems. Critical activities are those that lead to greater rework, involve close coordination or interdependenc
Autor:
Anchal Gupta, Satish M. Srinivasan
Publikováno v:
Procedia Computer Science. 168:73-79
Emotion classification deals with identifying emotions expressed within a text. Social media is generating a vast amount of emotion rich data in the form of tweets, status updates, blog posts etc. Tweets are a good representative of emotions a person
Publikováno v:
Procedia Computer Science. 168:97-104
Dimensionality reduction methods such as principal component analysis (PCA) are used to select relevant features, and k-means clustering performs well when applied to data with low effective dimensionality. This study integrated PCA and k-means clust
Publikováno v:
Procedia Computer Science. 168:80-87
Survival outcomes were assessed in cancer patients from whom cancer tissue was analyzed with Illumina Hi-Seq ribonucleic acid (RNA) sequencing (RNA-Seq) (accessible on National Cancer Institute Genomic Data Commons (GDC) and The Cancer Genome Atlas (
Publikováno v:
Current Issues in Tourism. 23:2716-2732
Disease transmission across borders may occur during the context of international travel and is a critical public health arena for study. This study examined the associations between personality fa...
Publikováno v:
IEEE Technology and Society Magazine. 38:58-63
The advent of social media and microblogging sites has paved the way for individuals and communities to freely express their opinions, feelings, and thoughts on a variety of topics in the form of short and limited size texts such as tweets. These twe