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ORCIDPrakash Ranganathan
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Journal Articles
- 2024
[j7]Tanzim Jim Hassan
, Jamison Jangula, Akshay Ram Ramchandra, Niroop Sugunaraj, Barathwaja Subash Chandar, Prashanth Rajagopalan, Farishta Rahman, Prakash Ranganathan, Ryan S. Adams:
UAS-Guided Analysis of Electric and Magnetic Field Distribution in High-Voltage Transmission Lines (Tx) and Multi-Stage Hybrid Machine Learning Models for Battery Drain Estimation. IEEE Access 12: 4911-4939 (2024)- 2023
- [j6]Vaishnavi N. Panjeti-Madan, Prakash Ranganathan:
Impact of Screen Time on Children's Development: Cognitive, Language, Physical, and Social and Emotional Domains. Multimodal Technol. Interact. 7(5): 52 (2023) - 2022
- [j5]Zakaria El Mrabet, Niroop Sugunaraj, Prakash Ranganathan, Shrirang Abhyankar:
Random Forest Regressor-Based Approach for Detecting Fault Location and Duration in Power Systems. Sensors 22(2): 458 (2022) - 2021
- [j4]Youness Arjoune, Sai Peri, Niroop Sugunaraj, Avhishek Biswas, Debanjan Sadhukhan, Prakash Ranganathan:
An Instance Segmentation and Clustering Model for Energy Audit Assessments in Built Environments: A Multi-Stage Approach. Sensors 21(13): 4375 (2021) - 2020
- [j3]Zeinab El-Rewini, Karthikeyan Sadatsharan, Daisy Flora Selvaraj, Siby Jose Plathottam, Prakash Ranganathan:
Cybersecurity challenges in vehicular communications. Veh. Commun. 23: 100214 (2020) - 2019
- [j2]Daniel Bissing, Michael T. Klein, Radhakrishnan Angamuthu Chinnathambi, Daisy Flora Selvaraj, Prakash Ranganathan:
A Hybrid Regression Model for Day-Ahead Energy Price Forecasting. IEEE Access 7: 36833-36842 (2019) - 2014
- [j1]Prakash Ranganathan, Saleh Faruque:
A Secure Wireless Spectrum Control, Error Correction Scheme in Synchrophasors. Int. J. Handheld Comput. Res. 5(3): 49-59 (2014)
Conference and Workshop Papers
- 2024
- [c43]Meera Gopinath Sujatha, Rajesh Godasu, Prakash Ranganathan:
Classification of Microcystins Based on Temperature Data in North Dakota Lake. AIIoT 2024: 142-150 - [c42]Barathwaja Subash Chandar, Prakash Ranganathan, William Semke:
Imputing ADS-B/GPS Dropouts using Machine Learning Models. CCWC 2024: 63-72 - [c41]Anton Skurdal, Akshay Ram Ramchandra, Prakash Ranganathan:
Estimating GPS/ADS-B Dropouts in the OpenSky Network Platform. CCWC 2024: 151-159 - [c40]Jaya Preethi Mohan, Prakash Ranganathan, Hassan Reza:
Hierarchical Software Framework for Safe Unmanned Aerial Systems Integration into National Airspace (NAS). CCWC 2024: 198-206 - [c39]Shree Ram Abayankar Balaji, Prakash Ranganathan:
Geomagnetic Storm Forecasting Using Machine Learning Models. CCWC 2024: 513-520 - [c38]Meera Gopinath Sujatha, Hassan Reza, Prakash Ranganathan:
A Conceptual Software Framework to Monitor Harmful Algal Blooms (HABs) in Lakes. CCWC 2024: 610-619 - [c37]Sriram Prabhakara Rao, Farishta Rahman, Prakash Ranganathan:
Sag Measurement and Quantification in Transmission Lines: A Review. EIT 2024: 596-602 - 2023
- [c36]Meera Gopinath Sujatha, Prakash Ranganathan, Scott Korom:
Classification of Microcystins Based on Nutrient Concentration Using Machine Learning Models. AIIoT 2023: 535-541 - [c35]Barathwaja Subash Chandar, Prashanth Rajagopalan, Prakash Ranganathan:
Short-Term AQI Forecasts using Machine/Deep Learning Models for San Francisco, CA. CCWC 2023: 402-411 - [c34]Prashanth Rajagopalan, Jack Thornby, Prakash Ranganathan:
Short- Term Electric Vehicle Demand Forecasts and Vehicle-to-Grid (V2G) Idle- Time Estimation Using Machine Learning. CCWC 2023: 1279-1286 - [c33]Nagababu Andraju, Greg Curtzwiler, Yun Ji, Evguenii Kozliak, Prakash Ranganathan:
Machine Learning Models for PFAS Tracking, Detection and Remediation: A Review. eIT 2023: 137-142 - [c32]Anton Skurdal, Youness Arjoune, Niroop Sugunaraj, Shree Ram Abayankar Balaji, Sreejith V. Nair, Prakash Ranganathan, Burton Johnson:
Correlation of Egg counts, Micro-nutrients, and NDVI Distribution for Accurate Tracking of SCN Population Density Detection. eIT 2023: 203-210 - [c31]Shree Ram Abayankar Balaji, Sriram Prabhakara Rao, Prakash Ranganathan:
Cybersecurity Challenges and Solutions in IoT-based Precision Farming Systems. UEMCON 2023: 237-246 - [c30]Prashanth Rajagopalan, Prakash Ranganathan:
Predicting Excess Energy and Estimating Users for Vehicle-to-Grid (V2G) Services Using Machine Learning. UEMCON 2023: 507-515 - 2022
- [c29]Niroop Sugunaraj, Prakash Ranganathan:
Electronic Control Unit (ECU) Identification for Controller Area Networks (CAN) using Machine Learning. EIT 2022: 1-7 - [c28]Temitope Bankefa, Ashoke Kumar Biswas, Prakash Ranganathan:
Hybrid Machine Learning Models for Accurate Onshore/Offshore Wind Farm Forecasts. EIT 2022: 335-341 - [c27]Jaya Preethi Mohan, Niroop Sugunaraj, Prakash Ranganathan:
Cyber Security Threats for 5G Networks. EIT 2022: 446-454 - [c26]Matthew V. Krishnan Myjak, Prakash Ranganathan:
Unmanned Aerial System (UAS) Swarm Design, Flight Patterns, Communication Type, Applications, and Recommendations. EIT 2022: 586-594 - [c25]Niroop Sugunaraj, Akshay Ram Ramchandra, Prakash Ranganathan:
Cyber Fraud Economics, Scam Types, and Potential Measures to Protect U.S. Seniors: A Short Review. EIT 2022: 623-627 - 2021
- [c24]Houda Bouderraoui, Soufiane Chami, Prakash Ranganathan:
Predicting Hourly Energy Consumption in Buildings. EIT 2021: 1-7 - [c23]Robert Foote, Niroop Sugunaraj, Prakash Ranganathan:
Low Cost ICS Network Scanning for Vulnerability Prevention. SmartCity360° 2021: 332-350 - 2020
- [c22]Elias Ghribi, Tala Talaei Khoei, Hamed Taheri Gorji, Prakash Ranganathan, Naima Kaabouch:
A Secure Blockchain-based Communication Approach for UAV Networks. EIT 2020: 411-415 - [c21]Radhakrishnan Angamuthu Chinnathambi, Alex Marquette, Tyler Clark, Aaron Johnson, Daisy Flora Selvaraj, Jeff Vaughan, Todd Hanson, Scott Hanson, Prakash Ranganathan, Naima Kaabouch:
Visualizing and Predicting Culex Tarsalis Trapcounts for West Nile Virus (WNV) Disease Incidence using Machine Learning Models. EIT 2020: 581-587 - 2019
- [c20]Zakaria El Mrabet, Daisy Flora Selvaraj, Prakash Ranganathan:
Adaptive Hoeffding Tree with Transfer Learning for Streaming Synchrophasor Data Sets. IEEE BigData 2019: 5697-5704 - [c19]Youness Arjoune, Sai Peri, Niroop Sugunaraj, Debanjan Sadhukhan, Michael Nord, Gautham Krishnamoorthy, David Flynn, Prakash Ranganathan:
Thermal Imagery Based Instance Segmentation for Energy Audit Applications in Buildings. IEEE BigData 2019: 5974-5976 - [c18]Zakaria El Mrabet, Daisy Flora Selvaraj, Arun Sukumaran Nair, Prakash Ranganathan:
Detection of the False Data Injection Attack in Home Area Networks using ANN. EIT 2019: 176-181 - [c17]Katelyn Koiner, Andrew Rosener, Debanjan Sadhukhan, Daisy Flora Selvaraj, Zakaria El Mrabet, Matt Dunlevy, Prakash Ranganathan:
Heat Loss Estimation using UAS Thermal Imagery. EIT 2019: 242-248 - [c16]Martin Pozniak, Debanjan Sadhukhan, Prakash Ranganathan:
RF Exploitation and Detection Techniques using Software Defined Radio: A Survey. EIT 2019: 345-350 - [c15]Martin Pozniak, Prakash Ranganathan:
Counter UAS Solutions Through UAV Swarm Environments. EIT 2019: 351-356 - [c14]Isaac J. Jensen, Daisy Flora Selvaraj, Prakash Ranganathan:
Blockchain Technology for Networked Swarms of Unmanned Aerial Vehicles (UAVs). WOWMOM 2019: 1-7 - 2018
- [c13]Siby Jose Plathottam, Prakash Ranganathan:
Next generation distributed and networked autonomous vehicles: Review. COMSNETS 2018: 577-582 - [c12]Mitch Campion, Arun Sukumaran Nair, Anupam Mukherjee, David Hollingworth, Prakash Ranganathan:
Investigation of Two-Stage Load Forecasting to Minimize Error Residuals. EIT 2018: 8-10 - [c11]Megan Spitzer, Cassandra Eerdmans, Arun Sukumaran Nair, Prakash Ranganathan:
Evaluation of PMU Placements with SORI and ORC Indices for IEEE Test Feeders. EIT 2018: 687-690 - [c10]Arun Sukumaran Nair, Mitch Campion, David Hollingworth, Prakash Ranganathan:
Two-Stage Load Forecasting for Residual Reduction and Economic Dispatch Using PJM Datasets. EIT 2018: 691-695 - [c9]Reilly Kedrowski, Justin Nelson, Arun Sukumaran Nair, Prakash Ranganathan:
Short-Term Seasonal Energy Forecasting. EIT 2018: 696-700 - [c8]Karl Schmaltz, Gretta Gilje, Arun Sukumaran Nair, Prakash Ranganathan:
An Object Oriented Graphical User Interface (GUI) for Optimal Placement of Phasor Measurement Units. EIT 2018: 741-746 - 2016
- [c7]Radhakrishnan Angamuthu Chinnathambi, Prakash Ranganathan:
Investigation of forecasting methods for the hourly spot price of the day-ahead electric power markets. IEEE BigData 2016: 3079-3086 - [c6]Jason Hahn, Christopher Peterson, Sima Noghanian, Prakash Ranganathan:
Optimization of swarms of UAVs. EIT 2016: 793-797 - 2015
- [c5]Ranganath Vallakati, Anupam Mukherjee, Prakash Ranganathan:
A density based clustering scheme for situational awareness in a smart-grid. EIT 2015: 346-350 - [c4]Rasel Mahmud, Ranganath Vallakati, Anupam Mukherjee, Prakash Ranganathan, Arash Nejadpak:
A survey on smart grid metering infrastructures: Threats and solutions. EIT 2015: 386-391 - [c3]Siby Jose Plathottam, Hossein Salehfar, Prakash Ranganathan:
Equitable wind power scheduling in power system with multiple wind farms. EIT 2015: 392-396 - 2012
- [c2]Kanwalinderjit Kaur Gagneja, Prakash Ranganathan, Steve Boughosn, Paul Loree, Kendall E. Nygard:
Limiting transmit power of antennas in Heterogeneous Sensor Networks. EIT 2012: 1-4 - 2011
- [c1]Prakash Ranganathan, Kendall E. Nygard, Kenneth Magel:
UML Design Patters in Smart Grid. CATA 2011: 114-119
Coauthor Index
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