Ritesh Patel

20 papers Misc 1Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Plant diseases detection and classifications using SympDense- A fine-tuning deep learning model.
J. Intell. Fuzzy Syst.
Hardik Jayswal, Jitendra Chaudhari, Atul Patel, Ashwin Makwana, Ritesh Patel, Nilesh Dubey, Srushti Ghajjar, Shital Sharma
2024 — conf
3D Imaging With The Polarimeter to Unify The Corona and Heliosphere.
SSIAI
Ritesh Patel, J. Marcus Hughes, Matthew J. West, Chris Lowder, Daniel B. Seaton, Jillian Redfern, Craig E. DeForest, Ronnie L. Killough
2024 — conf
Anonymized Network Sensing Graph Challenge.
HPEC
Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluç, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Jeremy Kepner
2024 J jnl
Anonymized Network Sensing Graph Challenge.
CoRR
Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluç, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Jeremy Kepner
2024 — conf
Teaching Network Traffic Matrices in an Interactive Game Environment.
IPDPS (Workshops)
Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland
2024 J jnl
Teaching Network Traffic Matrices in an Interactive Game Environment.
CoRR
Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland
2024 — conf
What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic.
HPEC
Jeremy Kepner, Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluç, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Peter Michaleas
2024 J jnl
What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic.
CoRR
Jeremy Kepner, Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluç, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Peter Michaleas
2023 J jnl
A Comprehensive Analysis of Computing Paradigms Leading to Fog Computing: Simulation Tools, Applications, and Use Cases.
J. Comput. Inf. Syst.
Sandipkumar Patel, Ritesh Patel
2023 — conf
Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays.
HPEC
Michael Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
2023 J jnl
Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays.
CoRR
Michael Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
2023 — conf
Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices.
HPEC
Jeremy Kepner, Michael Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas
2023 J jnl
Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices.
CoRR
Jeremy Kepner, Michael Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas
2023 — conf
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations.
HPEC
Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas
2023 J jnl
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations.
CoRR
Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas
2022 J jnl
A physiological signal compression approach using optimized Spindle Convolutional Auto-encoder in mHealth applications.
Biomed. Signal Process. Control.
Vishal Barot, Ritesh Patel
2022 — conf
Achieving Energy Efficiency in Life-Logging Applications of Internet of Things Using Data Compression Through Incorporation of Machine Learning and Edge-Cloud Architecture.
COMS2
Vishal Barot, Ritesh Patel
2017 J jnl
Optimal RP Based Dynamic Load Balancing in Amazon EC2 Environment.
J. Comput.
Sandipkumar Patel, Ritesh Patel, Parth Shah
2015 Misc conf
Describing and reusing warfighter processes and products: an agile training framework.
CogSIMA
Jeff Waters, Joanne Pilcher, Bruce Plutchak, Eric VonColln, Daniel Grady, Ritesh Patel
2009 — conf
Investigation of information flow in hierarchical organizations using agent-based modeling.
SpringSim
Jeff Waters, James Eitelberg, Ritesh Patel, Marion G. Ceruti