Year : 2022
Evaluating the scalability of a multi-object detector trained with multiple datasets
Cite this Research Publication : TR, K.K., Thiruvikkraman, S., Gokul, R., Nirmal, A. and Karthika, R., 2021, May. Evaluating the scalability of a multi-object detector trained with multiple datasets. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1359-1366). IEEE.
Publisher : IEEE
Year : 2022
Classification of diabetic retinopathy through identification of diagnostic keywords
Cite this Research Publication : Yadeeswaran, K.S., Mithra, N.M., Varshaa, K.S. and Karthika, R., 2021, September. Classification of diabetic retinopathy through identification of diagnostic keywords. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 716-721). IEEE.
Publisher : IEEE
Year : 2022
Performance Analysis of Different Deep Learning Models for Forest Fire Classification
Cite this Research Publication : Harshaw Kamal, S., Ragul Raj, R.K., Sabari, T. and Karthika, R., 2022. Performance Analysis of Different Deep Learning Models for Forest Fire Classification. In Disruptive Technologies for Big Data and Cloud Applications (pp. 143-151). Springer, Singapore.
Year : 2022
Phonoarthrography for Early Detection of Osteoarthritis using Machine Learning
Cite this Research Publication : Sayed, M., Karthika, R. and Makena, V.K.K., 2022, June. Phonoarthrography for Early Detection of Osteoarthritis using Machine Learning. In 2022 7th International Conference on Communication and Electronics Systems (ICCES) (pp. 1066-1072). IEEE.
Year : 2022
Term Preterm Delivery Classification with Electro Hysterogram and Performance Analysis
Cite this Research Publication : Hari, S. and Karthika, R., 2022, June. Term Preterm Delivery Classification with Electro Hysterogram and Performance Analysis. In 2022 7th International Conference on Communication and Electronics Systems (ICCES) (pp. 205-209). IEEE.
Publisher : 2022 7th International Conference on Communication and Electronics Systems (ICCES)
Year : 2022
Smart surveillance system using computer vision and internet of things
Cite this Research Publication : Hemaanand, M., Sanjay Kumar, V., Karthika, R., Smart surveillance system using computer vision and internet of things, Journal of Computational and Theoretical Nanoscience, Volume 17, Issue 1, 2020, Pages 68-73
Year : 2022
EEG Signal Analysis Using Machine Learning Techniques
Cite this Research Publication : Hari Prasad, P., Bala, A., Jai Aakashaakash, N.S., Ganesan, M., Venithraa, G., Karthika, R., EEG signal analysis using machine learning techniques, Journal of Advanced Research in Dynamical and Control Systems,Volume 12, Issue 5 Special Issue, 2020, Pages 207-214
Year : 2022
An automated vision-based algorithm for out of context detection in images
Cite this Research Publication : Karthika, R., Parameswaran, L., An automated vision-based algorithm for out of context detection in images, International Journal of Signal and Imaging Systems Engineering, Volume 11, Issue 1, 2018, Pages 1-8
Year : 2022
A Novel Convolutional Neural Network Based Architecture for Object Detection and Recognition with an Application to Traffic Sign Recognition from Road Scenes
Cite this Research Publication : Karthika, R. and Parameswaran, L., 2022. A Novel Convolutional Neural Network Based Architecture for Object Detection and Recognition with an Application to Traffic Sign Recognition from Road Scenes. Pattern Recognition and Image Analysis, 32(2), pp.351-362.
Publisher : Pattern Recognition and Image Analysis
Year : 2021
Classification of diabetic retinopathy through identification of diagnostic keywords
Cite this Research Publication : Yadeeswaran, K.S., Mithra, N.M., Varshaa, K.S. and Karthika, R., 2021, September. Classification of diabetic retinopathy through identification of diagnostic keywords. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 716-721). IEEE.
Publisher : IEEE
Year : 2021
Performance Analysis of Diabetic Retinopathy Classification using CNN
Cite this Research Publication : Vinuja, S., TR, K.K. and Karthika, R., 2021, September. Performance Analysis of Diabetic Retinopathy Classification using CNN. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 823-828). IEEE.
Publisher : IEEE
Year : 2021
Classification of In-House Managed Equipment by Listing Its Parts
Cite this Research Publication : Aruna, S.V. and Karthika, R., 2021. Classification of In-House Managed Equipment by Listing Its Parts. In Computer Networks and Inventive Communication Technologies (pp. 337-349). Springer, Singapore.
Year : 2021
Diabetes prediction using machine learning algorithms with feature selection and dimensionality reduction
Cite this Research Publication : Sivaranjani, S., Ananya, S., Aravinth, J. and Karthika, R., 2021, March. Diabetes prediction using machine learning algorithms with feature selection and dimensionality reduction. In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 141-146). IEEE.
Publisher : IEEE
Year : 2020
Evaluating performance of deep learning architectures for image classification
Cite this Research Publication : Saiharsha, B., Abel Lesle, A., Diwakar, B., Karthika, R., Ganesan, M., Evaluating performance of deep learning architectures for image classification, Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020, June 2020, Article number 09137884, Pages 917-922
Publisher : IEEE
Year : 2020
A Hybrid Optimum Method for Removal of Haze using Weight Map Estimation and Fusion Strategy
Cite this Research Publication : Subramanium, V.S.G., Prasath, R.S.V., Vaishnav, P., Venkatraghavan, S., Karthika, R., A Hybrid Optimum Method for Removal of Haze using Weight Map Estimation and Fusion Strategy, 2019 5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019, March 2019, Article number 8728354, Pages 844-848
Publisher : IEEE
Year : 2020
Deep Learning based Smart Garbage Classifier for Effective Waste Management
Cite this Research Publication : Sidharth, R., Rohit, P., Vishagan, S., Karthika, R., Ganesan, M., Deep learning based smart garbage classifier for effective waste management, Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020,June 2020, Article number 09137938, Pages 1086-1089
Publisher : IEEE
Year : 2020
R – Peak Detection using Altered Pan-Tompkins Algorithm
Cite this Research Publication : Palaniappan, Y., Vishanth, V.A., Santhosh, N., Karthika, R. and Ganesan, M., 2020, July. R-Peak Detection using Altered Pan-Tompkins Algorithm. In 2020 International Conference on Communication and Signal Processing (ICCSP) (pp. 1501-1505). IEEE.
Publisher : IEEE
Year : 2020
Real Time Pedestrian Detection Using Modified YOLO V2
Cite this Research Publication : Harisankar, V., Karthika, R., Real time pedestrian detection using modified Yolo V2, Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020, June 2020, Article number 09138103, Pages 855-859