no code implementations • 16 Jul 2023 • Kaveh Safavigerdini, Koundinya Nouduri, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan
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.
no code implementations • 13 Apr 2023 • Elham Soltanikazemi, Ashwin Dhakal, Bijaya Kumar Hatuwal, Imad Eddine Toubal, Armstrong Aboah, Kannappan Palaniappan
The results demonstrate impressive precision, recall, and mAP scores of 0. 848, 0. 599, and 0. 641, respectively for the training data.
no code implementations • 2 Jul 2019 • Noor Al-Shakarji, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, Kannappan Palaniappan
Detection of moving objects such as vehicles in videos acquired from an airborne camera is very useful for video analytics applications.
no code implementations • 9 May 2017 • Mahdieh Poostchi, Ali Shafiekhani, Kannappan Palaniappan, Guna Seetharaman
Weighting pixel contribution considering its location is a key feature in many fundamental image processing tasks including filtering, object modeling and distance matching.