フォロー
Kavitha S.
Kavitha S.
Associate Professor of Computer Science and Engg @ SSN College of Engineering
確認したメール アドレス: ssn.edu.in
タイトル
引用先
引用先
Redundancy discrete wavelet transform and contourlet transform for multimodality medical image fusion with quantitative analysis
S Rajkumar, S Kavitha
2010 3rd International Conference on Emerging Trends in Engineering and …, 2010
562010
Review and Analysis of Crack Detection and Classification Techniques based on Crack Types
N Sheerin Sitara, S Kavitha, G Raghuraman
International Journal of Applied Engineering Research 13 (8), 6056-6062, 2018
462018
Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation
S Kavitha, KK Thyagharajan
Soft Computing, 2016
382016
Detection and classification of diseases in plants using image processing and machine learning techniques
S Poornima, S Kavitha, S Mohanavalli, N Sripriya
AIP conference proceedings 2095 (1), 2019
342019
Brain tumor types and grades classification based on statistical feature set using support vector machine
KM Priya, S Kavitha, B Bharathi
2016 10th International Conference on Intelligent Systems and Control (ISCO …, 2016
34*2016
Application of Feature Extraction and clustering in mammogram classification using Support Vector Machine
R Aarthi, K Divya, N Komala, S Kavitha
2011 Third International Conference on Advanced Computing, 62-67, 2011
272011
Features based mammogram image classification using weighted feature support vector machine
S Kavitha, KK Thyagharajan
International Conference on Computing and Communication Systems, 320-329, 2011
172011
Smart irrigation system using zigbee technology and machine learning techniques
RN Kirtana, B Bharathi, SK Priya, S Kavitha, B Keerthana, K Kripa
2018 International Conference on Intelligent Computing and Communication for …, 2018
142018
A Survey on Quantitative Metrics for Assessing the Quality of Fused Medical Images
S Kavitha, KK Thyagharajan
Research Journal of Applied Sciences, Engineering and Technology 12 (3), 282-293, 2016
132016
Influence of computer vision and iot for pipeline inspection-a review
N Mangayarkarasi, G Raghuraman, S Kavitha
2019 International Conference on Computational Intelligence in Data Science …, 2019
122019
Classification and analysis of human activities
JMH Priyadharshini, S Kavitha, B Bharathi
2017 International Conference on Communication and Signal Processing (ICCSP …, 2017
102017
SSN MLRG at VQA-MED 2021: An Approach for VQA to Solve Abnormality Related Queries using Improved Datasets.
NMS Sitara, K Srinivasan
CLEF (working notes), 1329-1335, 2021
82021
ImageCLEF 2020: An approach for Visual Question Answering using VGG-LSTM for Different Datasets.
SSN Mohamed, K Srinivasan
CLEF (Working Notes), 2020
72020
Matrix sort-a parallelizable sorting algorithm
S Kavitha, V Vijay, AB Saketh
International Journal of Computer Applications 975, 8887, 2016
72016
ImageCLEF 2019: A 2D Convolutional Neural Network Approach for Severity Scoring of Lung Tuberculosis using CT Images.
S Kavitha, PR Nandhinee, S Harshana, Jahnavi Srividya S, K Harrinei
CLEF (Working Notes), 2019
62019
Predicting learning behaviour of online course learners' using hybrid deep learning model
S Kavitha, S Mohanavalli, B Bharathi
2018 IEEE 6th International Conference on MOOCs, Innovation and Technology …, 2018
62018
Dual channel pulse coupled neural network algorithm for fusion of multimodality brain images with quality analysis
K Srinivasan, TK Kondampatti
Applied Medical Informatics 35 (3), 31-39, 2014
52014
A hybrid genetic algorithm approach to a departmental class timetabling problem using efficient data structures
AS Babu, R Chockalingam, S Kavitha
International Journal of Computer Applications 1 (17), 99-103, 2010
52010
Redundany discrete wavelet transform and contourlet transform for multimodality medical image fusion with quantitative analysis
S Kavitha, S Rajkumar
IEEE, 134-139, 2009
52009
Learning behaviour analysis of online course learners using EEG and facial expression data
S Kavitha, G Raghuraman, A Kavithasri, S Aishvarya, B Janani
Measurement: Sensors 25, 100669, 2023
42023
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