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Sagar V. Kamarthi
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2020 – today
- 2024
- [j17]Sachini Weerasekara, Wei Li, Jacqueline Isaacs, Sagar V. Kamarthi:
Reinforcement Learning for Disassembly Task Control. Comput. Ind. Eng. 190: 110044 (2024) - [j16]Wei Li, Haozhou Zhou, Zhenyuan Lu, Sagar V. Kamarthi:
Navigating the Evolution of Digital Twins Research through Keyword Co-Occurence Network Analysis. Sensors 24(4): 1202 (2024) - [i6]Zhenyuan Lu, Wei Li, Burcu Ozek, Haozhou Zhou, Srinivasan Radhakrishnan, Sagar V. Kamarthi:
pyKCN: A Python Tool for Bridging Scientific Knowledge. CoRR abs/2403.16157 (2024) - 2023
- [i5]Zhenyuan Lu, Burcu Ozek, Sagar V. Kamarthi:
Transformer Encoder with Multiscale Deep Learning for Pain Classification Using Physiological Signals. CoRR abs/2303.06845 (2023) - [i4]Fatemeh Pouromran, Yingzi Lin, Sagar V. Kamarthi:
Automatic pain recognition from Blood Volume Pulse (BVP) signal using machine learning techniques. CoRR abs/2303.10607 (2023) - [i3]Burcu Ozek, Zhenyuan Lu, Srinivasan Radhakrishnan, Sagar V. Kamarthi:
Uncertainty Quantification in Neural-Network Based Pain Intensity Estimation. CoRR abs/2311.08569 (2023) - 2022
- [j15]Chenxi Yuan, Guoyan Li, Sagar V. Kamarthi, Xiaoning Jin, Mohsen Moghaddam:
Trends in intelligent manufacturing research: a keyword co-occurrence network based review. J. Intell. Manuf. 33(2): 425-439 (2022) - [j14]Fatemeh Pouromran, Yingzi Lin, Sagar V. Kamarthi:
Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal. Sensors 22(21): 8087 (2022) - [i2]Burcu Ozek, Zhenyuan Lu, Fatemeh Pouromran, Sagar V. Kamarthi:
Review and Analysis of Pain Research Literature through Keyword Co-occurrence Networks. CoRR abs/2211.04289 (2022)
2010 – 2019
- 2019
- [j13]Ghulam Moeen Uddin, Syed Muhammad Arafat, Ali Hussain Kazim, Muhammad Farhan, Sajawal Gul Niazi, Nasir Hayat, Ibrahim Zeid, Sagar V. Kamarthi:
Artificial intelligence-based Monte-Carlo numerical simulation of aerodynamics of tire grooves using computational fluid dynamics. Artif. Intell. Eng. Des. Anal. Manuf. 33(3): 302-316 (2019) - [i1]Ramin Mohammadi, Sarthak Jain, Stephen Agboola, Ramya Palacholla, Sagar V. Kamarthi, Byron C. Wallace:
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data. CoRR abs/1907.00089 (2019) - 2017
- [c16]Srinivasan Radhakrishnan, Yung-Tsun Tina Lee, Sagar V. Kamarthi:
Estimation of online tool wear in turning processes using recurrence quantification analysis (RQA). IEEE BigData 2017: 1755-1759 - 2016
- [c15]Srinivasan Radhakrishnan, Sagar V. Kamarthi:
Convergence and divergence in academic and industrial interests on IOT based manufacturing. IEEE BigData 2016: 2051-2056 - [c14]Srinivasan Radhakrishnan, Sagar V. Kamarthi:
Complexity-entropy feature plane for gear fault detection. IEEE BigData 2016: 2057-2061 - 2015
- [c13]Ashwin K. Thillai Natarajan, Sagar V. Kamarthi:
Time complexity and architecture of a cloud based prognostics system for a multi-client condition monitoring activity. IEEE BigData 2015: 1446-1450 - [c12]Abe Zeid, Susan Steiger-Escobar, Daniel Sullivan, Chitra Javdekar, Shamsi Moussavi, Sagar V. Kamarthi, Marina Bogard, Claire Duggan:
Addressing the problem of mal-employment of liberal arts graduates. FIE 2015: 1-4 - 2014
- [j12]Emre Tuncel, Abe Zeid, Sagar V. Kamarthi:
Solving large scale disassembly line balancing problem with uncertainty using reinforcement learning. J. Intell. Manuf. 25(4): 647-659 (2014) - [c11]Sagar V. Kamarthi, Sivarit Sultornsanee, Abe Zeid:
In-situ work piece surface roughness estimation in turning. CASE 2014: 328-332 - [c10]Srinivasan Radhakrishnan, Rohit Jacob, Arjun Duvvuru, Sagar V. Kamarthi:
Organizing Patterns and Evolution of Indian Movie Industry. Complex Adaptive Systems 2014: 655-659 - 2013
- [j11]Srinivasan Radhakrishnan, Yingzi Lin, Ibrahim Zeid, Sagar V. Kamarthi:
Finger-based multitouch interface for performing 3D CAD operations. Int. J. Hum. Comput. Stud. 71(3): 261-275 (2013) - [c9]Arjun Duvvuru, Srinivasan Radhakrishnan, Deepali More, Sagar V. Kamarthi, Sivarit Sultornsanee:
Analyzing Structural & Temporal Characteristics of Keyword System in Academic Research Articles. Complex Adaptive Systems 2013: 439-445 - [c8]Sivarit Sultornsanee, Arjun Duvvuru, Srinivasan Radhakrishnan, Harnita Chowdhary, Sagar V. Kamarthi:
Phase Synchronization based Minimum Spanning Trees for the Analysis and Visualization of Currency Exchange Markets. Complex Adaptive Systems 2013: 460-465 - 2011
- [j10]Selen Onel, Abe Zeid, Sagar V. Kamarthi:
The structure and analysis of nanotechnology co-author and citation networks. Scientometrics 89(1): 119-138 (2011) - [c7]Sivarit Sultornsanee, Srinivasan Radhakrishnan, David Falco, Abe Zeid, Sagar V. Kamarthi:
Phase Synchronization Approach to Construction and Analysis of Stock Correlation Network. Complex Adaptive Systems 2011: 52-56 - [c6]Sivarit Sultornsanee, Ibrahim Zeid, Sagar V. Kamarthi:
Classification of Electromyogram Using Recurrence Quantification Analysis. Complex Adaptive Systems 2011: 375-380 - 2010
- [j9]Gang Yu, Sagar V. Kamarthi:
A cluster-based wavelet feature extraction method and its application. Eng. Appl. Artif. Intell. 23(2): 196-202 (2010) - [j8]Ronald R. Mourant, Zhishuai Yin, Yingzi Lin, Sagar V. Kamarthi:
Communications and Decisions of Autonomous Vehicles in Virtual Environments. Int. J. Virtual Real. 9(2): 53-61 (2010)
2000 – 2009
- 2009
- [c5]Kaushik P. Chavan, Abe Zeid, Sagar V. Kamarthi:
A server centric authentication protocol for a RFID system. CASE 2009: 227-232 - [c4]Sagar V. Kamarthi, Abe Zeid, Yogesh Bagul:
Assessement of current health of hard disk drives. CASE 2009: 246-249 - 2008
- [j7]C. Parikh, Ibrahim Zeid, Sagar V. Kamarthi, J. Benneyan:
Analysis of communication between RFID tags and their reader using statistical simulation model. Int. J. Comput. Appl. Technol. 32(2): 128-134 (2008) - 2006
- [c3]C. Parikh, Abe Zeid, Sagar V. Kamarthi:
RFID Systems: An Overview and Open Research Issues. SEDE 2006: 304-309 - 2004
- [c2]Gang Yu, Sagar V. Kamarthi, Stefan Pittner:
A new cluster-based feature extraction method for surface defect detection. ICMLA 2004: 93-98 - 2001
- [j6]Ramani S. Pilla, Sagar V. Kamarthi, Bruce G. Lindsay:
Aitken-based acceleration methods for assessing convergence of multilayer neural networks. IEEE Trans. Neural Networks 12(5): 998-1012 (2001)
1990 – 1999
- 1999
- [j5]Sagar V. Kamarthi, Stefan Pittner:
Accelerating neural network training using weight extrapolations. Neural Networks 12(9): 1285-1299 (1999) - [j4]Stefan Pittner, Sagar V. Kamarthi:
Feature Extraction From Wavelet Coefficients for Pattern Recognition Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 21(1): 83-88 (1999) - 1998
- [j3]Stefan Pittner, Sagar V. Kamarthi, Qinglan Gao:
Wavelet networks for sensor signal classification in flank wear assessment. J. Intell. Manuf. 9(4): 315-322 (1998) - 1997
- [c1]Stefan Pittner, Sagar V. Kamarthi:
Feature extraction from wavelet coefficients for pattern recognition tasks. ICNN 1997: 1484-1489 - 1991
- [j2]Soundar R. T. Kumara, Sagar V. Kamarthi:
Function-to-structure transformation in conceptual design: An associative memory-based paradigm. J. Intell. Manuf. 2(5): 281-292 (1991) - 1990
- [j1]Sagar V. Kamarthi, Soundar R. T. Kumara, Francis T. S. Yu, Inyong Ham:
Neural networks and their applications in component design data retrieval. J. Intell. Manuf. 1(2): 125-140 (1990)
Coauthor Index
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