1 citations · 1 across the 3 of their papers we have counts for
5 papers
Benchmarking Machine Learning: How Fast Can Your Algorithms Go?
Zeyu Ning, Hugues Nelson Iradukunda, Qingquan Zhang +1
This paper is focused on evaluating the effect of some different techniques in machine learning speed-up, including vector caches, parallel execution, and so on. The following cont…
Indoor Air Quality Improvement
Ajinkya Gawade, Aniket Sanap, Vishal Baviskar +3
Poor indoor air quality can contribute to the development of various chronic respiratory diseases such as asthma, heart disease, and lung cancer. Since air quality is extremely dif…
MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning
Wei Wang, Emily Sallenback, Zeyu Ning +4
The following work presents a new algorithm for character recognition from obfuscated images. The presented method is an example of a potential threat to current postal services. T…
A Secured Protocol for IoT Networks
Ananth Vishnu Bhaskar, Ankit Baingane, Ryan Jahnige +2
Researchers in the past have shown that Symmetric key cryptography is generally considered infeasible and public key cryptography, at times, fails to provide sufficient security an…
Benchmarking Resource Usage of Underlying Datatypes of Apache Spark
Brittany Nicholls, Mariama Adangwa, Rachel Estes +3
The purpose of this paper is to examine how resource usage of an analytic is affected by the different underlying datatypes of Spark analytics - Resilient Distributed Datasets (RDD…