activity
20202023
most citedIndoor Air Quality Improvement

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2023

Beyond the Frame: Single and mutilple video summarization method with user-defined length

Vahid Ahmadi Kalkhorani, Qingquan Zhang, Guanqun Song +1

Video smmarization is a crucial method to reduce the time of videos which reduces the spent time to watch/review a long video. This apporach has became more important as the amount…

math.NA2023

Map-Reduce for Multiprocessing Large Data and Multi-threading for Data Scraping

Zefeng Qiu, Prashanth Umapathy, Qingquan Zhang +2

This document is the final project report for our advanced operating system class. During this project, we mainly focused on applying multiprocessing and multi-threading technology…

cs.LG2021

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…

eess.SY2021★ 1 cited

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…

cs.LG2020

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…

cs.CR2020

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…

eess.SY2020

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…