publications

2021

1. Data Science Tools and Techniques for Healthcare Applications

   Srinidhi Hiriyannaiah ,  Siddesh G. M. ,  Divya , and 5 more authors

   2021

   Abs

   Data analytics in healthcare applications play an important role as it gives insights into various aspects. In the present digital world, many gadgets are used for health monitoring. The data from these devices need to be collected in a careful manner as the privacy of the data also needs to be ensured. Machine learning methods such as clustering, random forests can be used for the analysis of various healthcare records. The patterns and trends in data become much more useful to predict and analyze data specifically in the sphere of healthcare. The aim of this chapter is to provide the different data science-oriented tools and methods for healthcare analytics. A case study on the usage of different tools and techniques is also presented at the end of the chapter that provides the complete life-cycle of the analytics phase for healthcare applications.

2016

1. GPU implementation of Friend recommendation system using CUDA for social networking services

   K G Srinivasa ,  G M Siddesh ,  Srinidhi Hiriyannaiah , and 3 more authors

   In Advances in Systems Analysis, Software Engineering, and High Performance Computing , 2016

   Abs

   Nowadays hybrid recommender systems are used, which utilize both collaborative and content based filtering techniques unlike the FoF system that have been presented in the chapter. Social networking services (SNSs) provide a platform where likeminded people interact and express opinions. The trends of socializing have changed drastically and the general population is turning to these services to socialize and network with new people. Massive infrastructure compliments uninterrupted usage of these services. Owing to the rapidly growing user base of SNSs, there is always a need to improve upon the existing infrastructure to keep cost and performance in tune with one another. GPUs are proving to be a viable solution to bridge the gap between the two. In this chapter, we describe GPU implementation of a Friend recommender system which is based on content-based filtering mechanism. It has given significant speed up from its previous counterparts, thus making the whole process more efficient.

2. Microsense

   Srinivasa ,  Ganesh Hegde ,  Kushagra Mishra , and 3 more authors

   Int. J. Handheld Comput. Res., Jul 2016

   Abs

   With the advancement of portable devices and sensors, there has been a need to build a universal framework, which can serve as a nodal point to aggregate data from different kinds of devices and sensors. We propose a unified framework that will provide a robust set of guidelines for sensors with varied degree of complexities connected to common set of System-on-Chip (SoC). These will help to monitor, control and visualize real time data coming from different type of sensors connected to these SoCs. We have defined a set of APIs, which will help the sensors to register with the server. These APIs will be the standard to which the sensors will comply while streaming data when connected to the client platforms.

2015

1. Cyber-Physical Systems

   Dec 2015

2014

1. Game theoretic resource allocation in cloud computing

   K G Srinivasa ,  S Srinidhi ,  K Sharath Kumar , and 3 more authors

   In The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014) , Dec 2014