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2020 – today
- 2024
[i6]Michael DeMoor, John J. Prevost:
Realigned Softmax Warping for Deep Metric Learning. CoRR abs/2408.15656 (2024)- 2023
- [j5]Edmond Adib
, Amanda S. Fernandez, Fatemeh Afghah, John J. Prevost:
Synthetic ECG Signal Generation Using Probabilistic Diffusion Models. IEEE Access 11: 75818-75828 (2023) - [j4]Sanchita Ghose, John J. Prevost:
FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos. IEEE Trans. Multim. 25: 4508-4519 (2023) - [c23]Jose Garcia, Mevlut A. Demir, Gabriela F. Ciocarlie, John J. Prevost:
Delay Tolerant Networks for Industry 4.0. SoSE 2023: 1-8 - [i5]Edmond Adib, Amanda S. Fernandez, Fatemeh Afghah, John Jeff Prevost:
Synthetic ECG Signal Generation using Probabilistic Diffusion Models. CoRR abs/2303.02475 (2023) - 2022
- [c22]Edmond Adib, Fatemeh Afghah, John J. Prevost:
Arrhythmia Classification Using CGAN-Augmented ECG Signals. BIBM 2022: 1865-1872 - [c21]Ashley Rosilier, Mevlut A. Demir, John J. Prevost:
Automated Consulting for Cloud Native Architectures. SoSE 2022: 472-477 - [i4]Edmond Adib, Fatemeh Afghah, John J. Prevost:
Arrhythmia Classification using CGAN-augmented ECG Signals. CoRR abs/2202.00569 (2022) - 2021
- [j3]Sanchita Ghose, John J. Prevost:
AutoFoley: Artificial Synthesis of Synchronized Sound Tracks for Silent Videos With Deep Learning. IEEE Trans. Multim. 23: 1895-1907 (2021) - [i3]Sanchita Ghose, John J. Prevost:
FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos. CoRR abs/2107.09262 (2021) - [i2]Edmond Adib, Fatemeh Afghah, John J. Prevost:
Synthetic ECG Signal Generation Using Generative Neural Networks. CoRR abs/2112.03268 (2021) - 2020
- [j2]Nihar Bendre, Nima Ebadi, John J. Prevost, Peyman Najafirad:
Human Action Performance Using Deep Neuro-Fuzzy Recurrent Attention Model. IEEE Access 8: 57749-57761 (2020) - [c20]James Nelson, Jonathan Lwowski, Patrick Benavidez, John J. Prevost, Mo M. Jamshidi:
Towards the Optimal Placement of Containerized Applications on a Cloud-Edge Network. SysCon 2020: 1-8 - [c19]Divyaansh Dandona, Mevlut A. Demir, John J. Prevost:
Graph Based Root Cause Analysis in Cloud Data Center. SoSE 2020: 549-554 - [c18]Sanchita Ghose, John J. Prevost:
Enabling an IoT System of Systems through Auto Sound Synthesis in Silent Video with DNN. SoSE 2020: 563-568 - [c17]Michael DeMoor, John J. Prevost:
Improving Applications of Systems of Systems using Ultra Fast Instance Segmentation. SoSE 2020: 569-574 - [i1]Sanchita Ghose, John J. Prevost:
AutoFoley: Artificial Synthesis of Synchronized Sound Tracks for Silent Videos with Deep Learning. CoRR abs/2002.10981 (2020)
2010 – 2019
- 2019
- [j1]Jonathan Lwowski, Abhijit Majumdar, Patrick Benavidez, John J. Prevost, Mo M. Jamshidi:
Bird Flocking Inspired Formation Control for Unmanned Aerial Vehicles Using Stereo Camera. IEEE Syst. J. 13(3): 3580-3589 (2019) - 2018
- [c16]Mevlut A. Demir, Weslyn Wagner, Divyaansh Dandona, John J. Prevost:
A Comprehensive Solution for Research-Oriented Cloud Computing. CLOUD 2018: 407-417 - [c15]Juah C. Song, Mevlut A. Demir, John J. Prevost, Paul Rad:
Blockchain Design for Trusted Decentralized IoT Networks. SoSE 2018: 169-174 - [c14]Jonathan Lwowski, Matthew A. Joordens, Abhijit Majumdar, Patrick Benavidez, John J. Prevost, Mo M. Jamshidi:
The Utilization of Virtual Reality as a System of Systems Research Tool. SoSE 2018: 535-540 - [c13]Joshua Herrera, Mevlut A. Demir, Parsa Yousefi, John J. Prevost, Paul Rad:
Distributed Edge Cloud R-CNN for Real Time Object Detection. WAC 2018: 1-5 - [c12]Jonathan Lwowski, Abhijit Majumdar, Patrick Benavidez, John J. Prevost, Mo M. Jamshidi:
Stereo Camera Based Formation Control for Unmanned Aerial Vehicles. WAC 2018: 1-5 - [c11]Mehdi Roopaei, Paul Rad, John J. Prevost:
A Wearable IoT with Complex Artificial Perception Embedding for Alzheimer Patients. WAC 2018: 1-6 - [c10]Parsa Yousefi, Hamid Fekriazgomi, Mevlut A. Demir, John J. Prevost, Mo M. Jamshidi:
Data-Driven Fault Detection of Un-Manned Aerial Vehicles Using Supervised Learning Over Cloud Networks. WAC 2018: 1-6 - 2017
- [c9]Jonathan Lwowski, Prasanna Kolar, Patrick Benavidez, Paul Rad, John J. Prevost, Mo M. Jamshidi:
Pedestrian detection system for smart communities using deep Convolutional Neural Networks. SoSE 2017: 1-6 - [p1]Jonathan Lwowski, Patrick Benavidez, John J. Prevost, Mo M. Jamshidi:
Task Allocation Using Parallelized Clustering and Auctioning Algorithms for Heterogeneous Robotic Swarms Operating on a Cloud Network. Autonomy and Artificial Intelligence 2017: 47-69 - 2016
- [c8]Brian Todd Kelley, John J. Prevost, Paul Rad, Aqsa Fatima:
Securing Cloud Containers Using Quantum Networking Channels. SmartCloud 2016: 103-111 - [c7]James O. Benson, John J. Prevost, Paul Rad:
Survey of automated software deployment for computational and engineering research. SysCon 2016: 1-6 - 2015
- [c6]S. M. Azharul Karim, John J. Prevost:
Efficient Mobile Computation Using the Cloud. FiCloud 2015: 620-626 - [c5]Patrick Benavidez, Mohan Muppidi, Paul Rad, John J. Prevost, Mo M. Jamshidi, Lutcher Brown:
Cloud-based realtime robotic Visual SLAM. SysCon 2015: 773-777 - 2013
- [c4]John Prevost, Kranthimanoj Nagothu, Brian Todd Kelley, Mo M. Jamshidi:
Optimal update frequency model for physical machine state change and virtual machine placement in the cloud. SoSE 2013: 159-164 - 2011
- [c3]John Prevost, Kranthimanoj Nagothu, Brian Todd Kelley, Mohammad Jamshidi:
Prediction of cloud data center networks loads using stochastic and neural models. SoSE 2011: 276-281
2000 – 2009
- 2008
- [c2]Ted Shaneyfelt, Matthew A. Joordens, Kranthimanoj Nagothu, John Prevost, Anjan Kumar Ray, S. S. Mirsaeid Ghazi, Mo M. Jamshidi:
Control and simulation of robotic swarms in heterogeneous environments. SMC 2008: 1314-1319 - [c1]John Prevost, Matthew A. Joordens, Mo M. Jamshidi:
Simulation of underwater robots using MS Robot Studio©. SoSE 2008: 1-5
Coauthor Index
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