Zobrazeno 1 - 10
of 540
pro vyhledávání: '"Palaniappan, Kannappan"'
Autor:
Surya, Ramakrishna, Koerner, Gordon L., Hajilounezhad, Taher, Safavigerdin, Kaveh, Calyam, Prasad, Bunyak, Filiz, Palaniappan, Kannappan, Maschmann, Matthew R.
Understanding the dynamic self-assembly mechanisms of carbon nanotube (CNT) forests is necessary to advance their technological promise. Here, in-situ environmental scanning electron microscope (ESEM) chemical vapor deposition (CVD) synthesis observe
Externí odkaz:
http://arxiv.org/abs/2402.19336
Autor:
Safavigerdini, Kaveh, Nouduri, Koundinya, Surya, Ramakrishna, Reinhard, Andrew, Quinlan, Zach, Bunyak, Filiz, Maschmann, Matthew R., Palaniappan, Kannappan
We present a pipeline for predicting mechanical properties of vertically-oriented carbon nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI)-based materials discovery. Our approach incorporates an innovative data
Externí odkaz:
http://arxiv.org/abs/2307.07912
Autor:
Soltanikazemi, Elham, Dhakal, Ashwin, Hatuwal, Bijaya Kumar, Toubal, Imad Eddine, Aboah, Armstrong, Palaniappan, Kannappan
Publikováno v:
2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
This research focuses on real-time surveillance systems as a means for tackling the issue of non-compliance with helmet regulations, a practice that considerably amplifies the risk for motorcycle drivers or riders. Despite the well-established advant
Externí odkaz:
http://arxiv.org/abs/2304.09248
Autor:
Surya, Ramakrishna, Koerner, Gordon L., Hajilounezhad, Taher, Safavigerdini, Kaveh, Spies, Martin, Calyam, Prasad, Bunyak, Filiz, Palaniappan, Kannappan, Maschmann, Matthew R.
Publikováno v:
In Carbon October 2024 229
Most existing image privacy protection works focus mainly on the privacy of photo owners and their friends, but lack the consideration of other people who are in the background of the photos and the related location privacy issues. In fact, when a pe
Externí odkaz:
http://arxiv.org/abs/2103.10851
Publikováno v:
In Procedia Computer Science 2024 235:3305-3314
Publikováno v:
In Procedia Computer Science 2024 235:3207-3216
Autor:
Rahmon, Gani1 (AUTHOR) gani.rahmon@mail.missouri.edu, Palaniappan, Kannappan1 (AUTHOR), Toubal, Imad Eddine1 (AUTHOR), Bunyak, Filiz1 (AUTHOR), Rao, Raghuveer2 (AUTHOR), Seetharaman, Guna3 (AUTHOR)
Publikováno v:
International Journal of Computer Vision. Mar2024, Vol. 132 Issue 3, p776-804. 29p.
Autor:
Al-Shakarji, Noor, Bunyak, Filiz, Aliakbarpour, Hadi, Seetharaman, Guna, Palaniappan, Kannappan
Detection of moving objects such as vehicles in videos acquired from an airborne camera is very useful for video analytics applications. Using fast low power algorithms for onboard moving object detection would also provide region of interest-based s
Externí odkaz:
http://arxiv.org/abs/1907.01176
Autor:
Poostchi, Mahdieh, Palaniappan, Kannappan, Li, Da, Becchi, Michela, Bunyak, Filiz, Seetharaman, Guna
In many Multimedia content analytics frameworks feature likelihood maps represented as histograms play a critical role in the overall algorithm. Integral histograms provide an efficient computational framework for extracting multi-scale histogram-bas
Externí odkaz:
http://arxiv.org/abs/1711.01919