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ORCIDK. I. Ramachandran
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2020 – today
- 2024
[j29]K. T. Sreekumar
, C. Santhosh Kumar, K. I. Ramachandran:
Deep Discriminative Feature Learning and Feature Space Transformation for Scalable Machine Fault Diagnosis. IEEE Access 12: 107944-107958 (2024)- 2022
- [j28]S. Adarsh, K. I. Ramachandran, Binoy B. Nair:
Improving Range estimation accuracy of an ultrasonic Sensor using an adaptive Neuro-fuzzy Inference System. Int. J. Robotics Autom. 37(2) (2022) - 2021
- [c18]Saksham Srivastava, S. Adarsh, Binoy B. Nair, K. I. Ramachandran:
Driver's Face Detection in Poor Illumination for ADAS Applications. ICCCSP 2021: 1-6 - 2020
- [j27]S. Adarsh, K. I. Ramachandran:
Neuro-fuzzy based fusion of LiDAR and ultrasonic sensors to minimize error in range estimation for the navigation of mobile robots. Intell. Decis. Technol. 14(2): 259-267 (2020) - [c17]Selvamani Chandrasekaran, K. I. Ramachandran, S. Adarsh, Ashish Kumar Puranik:
Avoidance of Replay attack in CAN protocol using Authenticated Encryption. ICCCNT 2020: 1-6 - [c16]Aravind H, Sivraj P, K. I. Ramachandran:
Design and Optimization of CNN for Lane Detection. ICCCNT 2020: 1-6 - [c15]Karthika K, S. Adarsh, K. I. Ramachandran:
Distance Estimation of Preceding Vehicle Based on Mono Vision Camera and Artificial Neural Networks. ICCCNT 2020: 1-5 - [c14]Manjula P. M, S. Adarsh, K. I. Ramachandran:
Driver Inattention Monitoring System Based on the Orientation of the Face Using Convolutional Neural Network. ICCCNT 2020: 1-7
2010 – 2019
- 2019
- [j26]Rolant Gini John, K. I. Ramachandran:
Extraction of foetal ECG from abdominal ECG by nonlinear transformation and estimations. Comput. Methods Programs Biomed. 175: 193-204 (2019) - [c13]N. Kirthika, K. I. Ramachandran, Sasi K. Kottayil:
Deep Quantile Regression Based Wind Generation and Demand Forecasts. SoCPaR 2019: 112-122 - 2018
- [j25]S. Adarsh, K. I. Ramachandran:
Design of Sensor Data Fusion Algorithm for Mobile Robot Navigation Using ANFIS and Its Analysis Across the Membership Functions. Autom. Control. Comput. Sci. 52(5): 382-391 (2018) - [j24]P. Krishnakumar, K. Rameshkumar, K. I. Ramachandran:
Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features. Intell. Decis. Technol. 12(2): 265-282 (2018) - [j23]P. Krishnakumar, K. Rameshkumar, K. I. Ramachandran:
Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach. Int. J. Comput. Intell. Appl. 17(3): 1850017:1-1850017:19 (2018) - [j22]Kuruvachan K. George, C. Santhosh Kumar, Sunil Sivadas, K. I. Ramachandran, Ashish Panda:
Analysis of cosine distance features for speaker verification. Pattern Recognit. Lett. 112: 285-289 (2018) - 2017
- [c12]Aniket D. Adhvaryu, S. Adarsh, K. I. Ramachandran:
Design of fuzzy based intelligent controller for autonomous mobile robot navigation. ICACCI 2017: 841-846 - [c11]Alpha Tamrakar, S. Adasrh, K. I. Ramachandran:
Fuzzy logic based fault detection of controller area network using microautobox - II. ICACCI 2017: 1290-1295 - [c10]K. V. Geedhu, K. I. Ramachandran, S. Adarsh:
Canfis based robotic navigation. ICACCI 2017: 1660-1664 - [c9]Rolant Gini John, Ponmozhy Deepan Chakravarthy, K. I. Ramachandran, Pooja Anand:
Modeling of a System for fECG Extraction from abdECG. ISDA 2017: 568-579 - [c8]Jeffy Joseph, Rolant Gini John, K. I. Ramachandran:
Removal of BW and Respiration Noise in abdECG for fECG Extraction. SIRS 2017: 3-14 - 2016
- [j21]R. Gopinath, C. Santhosh Kumar, K. I. Ramachandran, V. Upendranath, P. V. R. Sai Kiran:
Intelligent fault diagnosis of synchronous generators. Expert Syst. Appl. 45: 142-149 (2016) - [j20]R. Gopinath, C. Santhosh Kumar, K. I. Ramachandran:
Scalable fault models for diagnosis of synchronous generators. Int. J. Intell. Syst. Technol. Appl. 15(1): 35-51 (2016) - [c7]R. Anusree, R. Ranjith, K. I. Ramachandran:
A noncontact vital sign monitoring algorithm using a camera. ICACCI 2016: 1947-1951 - [c6]Aparna S. Raghunath, K. T. Sreekumar, C. Santhosh Kumar, K. I. Ramachandran:
Improving Speed Independent Performance of Fault Diagnosis Systems through Feature Mapping and Normalization. ICMLA 2016: 764-767 - [c5]Kuruvachan K. George, Santhosh Kumar C, K. I. Ramachandran, Ashish Panda:
Improving Robustness of Speaker Verification Against Mimicked Speech. Odyssey 2016: 245-251 - 2015
- [c4]Kuruvachan K. George, C. Santhosh Kumar, K. I. Ramachandran, Ashish Panda:
Cosine distance features for robust speaker verification. INTERSPEECH 2015: 234-238 - [c3]V. Nivitha Varghees, K. I. Ramachandran:
Heart murmur detection and classification using wavelet transform and Hilbert phase envelope. NCC 2015: 1-6 - 2014
- [j19]V. Nivitha Varghees, K. I. Ramachandran:
A novel heart sound activity detection framework for automated heart sound analysis. Biomed. Signal Process. Control. 13: 174-188 (2014) - [j18]M. Saimurugan, K. I. Ramachandran:
A comparative study of sound and vibration signals in detection of rotating machine faults using support vector machine and independent component analysis. Int. J. Data Anal. Tech. Strateg. 6(2): 188-204 (2014) - [c2]V. Nivitha Varghees, K. I. Ramachandran:
Automated PCG signal delineation method for heart sound analysis. NCC 2014: 1-6 - 2012
- [j17]S. Babu Devasenapati, K. I. Ramachandran:
Artificial Intelligence Based Green Technology Retrofit for Misfire Detection in Old Engines. Int. J. Green Comput. 3(1): 43-55 (2012) - 2011
- [j16]S. Ravikumar, K. I. Ramachandran, V. Sugumaran:
Machine learning approach for automated visual inspection of machine components. Expert Syst. Appl. 38(4): 3260-3266 (2011) - [j15]M. Saimurugan, K. I. Ramachandran, V. Sugumaran, N. R. Sakthivel:
Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine. Expert Syst. Appl. 38(4): 3819-3826 (2011) - [j14]V. Sugumaran, K. I. Ramachandran:
Effect of number of features on classification of roller bearing faults using SVM and PSVM. Expert Syst. Appl. 38(4): 4088-4096 (2011) - [j13]M. Elangovan, S. Babu Devasenapati, N. R. Sakthivel, K. I. Ramachandran:
Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm. Expert Syst. Appl. 38(4): 4450-4459 (2011) - [j12]V. Sugumaran, K. I. Ramachandran:
Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learning. Expert Syst. Appl. 38(5): 4901-4907 (2011) - [j11]M. Elangovan, V. Sugumaran, K. I. Ramachandran, S. Ravikumar:
Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool. Expert Syst. Appl. 38(12): 15202-15207 (2011) - [j10]C. N. Arunaa, S. Babu Devasenapati, K. I. Ramachandran, K. Vishnuprasad, C. Surendra:
Neural Predictive Controller Based Diesel Injection Management System for Emission Minimisation. Int. J. Green Comput. 2(2): 63-82 (2011) - 2010
- [j9]N. Saravanan, V. N. S. Kumar Siddabattuni, K. I. Ramachandran:
Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM). Appl. Soft Comput. 10(1): 344-360 (2010) - [j8]M. Elangovan, K. I. Ramachandran, V. Sugumaran:
Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features. Expert Syst. Appl. 37(3): 2059-2065 (2010) - [j7]S. Babu Devasenapati, V. Sugumaran, K. I. Ramachandran:
Misfire identification in a four-stroke four-cylinder petrol engine using decision tree. Expert Syst. Appl. 37(3): 2150-2160 (2010) - [j6]N. Saravanan, K. I. Ramachandran:
Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN). Expert Syst. Appl. 37(6): 4168-4181 (2010)
2000 – 2009
- 2009
- [j5]N. Saravanan, S. Cholairajan, K. I. Ramachandran:
Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique. Expert Syst. Appl. 36(2): 3119-3135 (2009) - [j4]N. Saravanan, K. I. Ramachandran:
Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classification. Expert Syst. Appl. 36(5): 9564-9573 (2009) - [j3]N. Saravanan, K. I. Ramachandran:
A case study on classification of features by fast single-shot multiclass PSVM using Morlet wavelet for fault diagnosis of spur bevel gear box. Expert Syst. Appl. 36(8): 10854-10862 (2009) - [c1]P. Premkumar, P. K. Krishnan Namboori, M. Sathishkumar, K. I. Ramachandran, Deepa Gopakumar, Rajasree P. M:
Quantum Mechanical Modeling and Molecular Dynamic Simulation of Ruthenium (Ru) Polypyridyl Complexes to Study Feasibility of Artificial Photosynthesis. ARTCom 2009: 461-464 - 2008
- [j2]V. Sugumaran, G. R. Sabareesh, K. I. Ramachandran:
Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine. Expert Syst. Appl. 34(4): 3090-3098 (2008) - [j1]N. Saravanan, V. N. S. Kumar Siddabattuni, K. I. Ramachandran:
A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box. Expert Syst. Appl. 35(3): 1351-1366 (2008)
Coauthor Index
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