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S. Sasikala
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2020 – today
- 2024
- [j32]S. Geethanjali, S. Sasikala:
Instance reduction algorithm based on elitist min-max ant colony optimization technique. Appl. Soft Comput. 164: 111923 (2024) - [j31]J. Shanthalakshmi Revathy, N. Uma Maheswari, S. Sasikala, R. Venkatesh:
Automatic diagnosis of mental illness using optimized dynamically stabilized recurrent neural network. Biomed. Signal Process. Control. 95: 106321 (2024) - [j30]S. Sasikala, R. Neelaveni, P. Sweety Jose:
OSTM-NET: Joint scale variation and occlusion handling deep network for real-time vehicle counting and volume estimation. Digit. Signal Process. 149: 104507 (2024) - [j29]S. Sasikala, R. Neelaveni, P. Sweety Jose:
An Intelligent Traffic Analysis and Prediction System Using Deep Learning Technique. Int. J. Artif. Intell. Tools 33(1): 2350055:1-2350055:22 (2024) - [j28]P. Prabharani, S. Appavu alias Balamurugan, S. Sasikala:
AoDrA-Net: an approach to recommend crop for sustainable agriculture. Int. J. Bio Inspired Comput. 24(2): 109-121 (2024) - [j27]T. Meeradevi, S. Sasikala:
Automatic fabric defect detection in textile images using a labview based multiclass classification approach. Multim. Tools Appl. 83(25): 65753-65772 (2024) - [j26]P. Sivaranjani, S. Sasikala, A. Lavanya, M. Keerthana:
Design and Verification of Low Latency AMBA AXI4 and ACE Protocol for On-Chip Peripheral Communication. Wirel. Pers. Commun. 136(3): 1811-1824 (2024) - 2023
- [j25]Adlin Sheeba, P. Santhosh Kumar, M. Ramamoorthy, S. Sasikala:
Microscopic image analysis in breast cancer detection using ensemble deep learning architectures integrated with web of things. Biomed. Signal Process. Control. 79(Part): 104048 (2023) - [j24]S. Sasikala, R. Neelaveni, P. Sweety Jose:
Toward a deep CNN and RS-GOA framework for vehicle detection, traffic flow estimation, and optimal path selection from surveillance videos. Int. J. Commun. Syst. 36(16) (2023) - [j23]S. Ramesh, S. Gomathi, S. Sasikala, Thapasimuthu Rajeswari Saravanan:
Automatic speech emotion detection using hybrid of gray wolf optimizer and naïve Bayes. Int. J. Speech Technol. 26(3): 571-578 (2023) - [j22]T. Meeradevi, S. Sasikala, S. Gomathi, K. Prabakaran:
An analytical survey of textile fabric defect and shade variation detection system using image processing. Multim. Tools Appl. 82(4): 6167-6196 (2023) - [j21]S. Sasikala, Sengathir Janakiraman:
A Review on Machine Learning-based Malware Detection Techniques for Internet of Things (IoT) Environments. Wirel. Pers. Commun. 132(3): 1961-1974 (2023) - [c9]S. Sasikala, P. Sivaranjani, Balambigai Subramanian, Keerthana M:
Verilog Implementation and Functional Verification of Hybrid Cryptography Algorithm. ICCCNT 2023: 1-7 - [c8]S. Sasikala, Balambigai Subramanian, P. Sivaranjani, V. Udhayasuriyan:
Design of Arithmetic Logic Unit Using Hybrid Power Reduction Methodologies For Super Computer Applications. ICCCNT 2023: 1-8 - [c7]P. Sivaranjani, S. Sasikala, A. Lavanya, M. Keerthana:
Design and Analysis of UART Protocol with Sec-Ded and Implementation on FPGA. ICCCNT 2023: 1-8 - [c6]Balambigai Subramanian, P. V. Shreeram, J. Sureshkanna, S. Sasikala, S. Sowmika, N. Arun Vignesh:
Soft Computing Approach To Prevent Derailments Due To Landslides. ICCCNT 2023: 1-5 - 2022
- [j20]R. T. Subhalakshmi, S. Appavu alias Balamurugan, S. Sasikala:
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images. Concurr. Eng. Res. Appl. 30(1): 116-127 (2022) - [j19]S. Sasikala, S. Ramesh, S. Gomathi, Balambigai Subramanian, V. Anbumani:
Transfer learning based recurrent neural network algorithm for linguistic analysis. Concurr. Comput. Pract. Exp. 34(5) (2022) - [j18]Shalini Rajamani, S. Sasikala:
Artificial Intelligence Approach for Diabetic Retinopathy Severity Detection. Informatica (Slovenia) 46(8) (2022) - [j17]S. Ramesh, S. Sasikala, S. Gomathi, V. Geetha, V. Anbumani:
Segmentation and classification of breast cancer using novel deep learning architecture. Neural Comput. Appl. 34(19): 16533-16545 (2022) - 2021
- [j16]A. S. Karthik Kannan, S. Appavu alias Balamurugan, S. Sasikala:
A Customized Metaheuristic Approaches for Improving Supplier Selection in Intelligent Decision Making. IEEE Access 9: 56228-56239 (2021) - [j15]S. Sasikala, S. Gomathi, V. Geetha, L. Murali:
A proposed framework for cloud-aware multimodal multimedia big data analysis toward optimal resource allocation. Comput. J. 64(6): 880-894 (2021) - [j14]S. Appavu alias Balamurugan, K. R. Saranya, S. Sasikala, G. Chinthana:
Statistical and Machine Learning Approaches for Clinical Decision on Drug Usage in Diabetes with Reference to Competence and Safeness. Int. J. Comput. Intell. Syst. 14(1): 859-868 (2021) - [j13]E. S. Vinoth Kumar, S. Appavu alias Balamurugan, S. Sasikala:
Multi-Tier Student Performance Evaluation Model (MTSPEM) with Integrated Classification Techniques for Educational Decision Making. Int. J. Comput. Intell. Syst. 14(1): 1796-1808 (2021) - [j12]D. Renuka Devi, S. Sasikala:
Ensemble incremental deep multiple layer perceptron model - sentiment analysis application. Int. J. Web Inf. Syst. 17(6): 714-727 (2021) - [j11]J. Senthil Kumar, S. Appavu alias Balamurugan, S. Sasikala:
A Novel Tuberculosis Prediction Model by Extracting Radiological Features Present in Chest X-ray Images Using Modified Discrete Grey Wolf Optimizer Based Segmentation. J. Medical Imaging Health Informatics 11(10): 2519-2528 (2021) - [j10]R. T. Subhalakshmi, S. Appavu alias Balamurugan, S. Sasikala:
Automatic Segmentation and Classification of COVID-19 CT Image Using Deep Learning and Multi-Scale Recurrent Neural Network Based Classifier. J. Medical Imaging Health Informatics 11(10): 2618-2625 (2021) - [j9]S. Ramesh, S. Sasikala, Nirmala Paramanandham:
Segmentation and classification of brain tumors using modified median noise filter and deep learning approaches. Multim. Tools Appl. 80(8): 11789-11813 (2021) - [j8]J. Senthil Kumar, S. Appavu alias Balamurugan, S. Sasikala:
Analysis of Deep Learning Techniques for Tuberculosis Disease. SN Comput. Sci. 2(4): 302 (2021) - [j7]A. S. Karthik Kannan, S. Appavu alias Balamurugan, S. Sasikala:
A Novel Software Package Selection Method Using Teaching-Learning Based Optimization and Multiple Criteria Decision Making. IEEE Trans. Engineering Management 68(4): 941-954 (2021) - [c5]S. Gomathi, S. Sasikala, G. Murugesan, T. Maishalini, V. Kaviya, R. JeevanSanjay:
Design and Implementation of Combined Approach of Zero Finding Logic and Operand Decomposition in Systolic Filter. ICCCNT 2021: 1-4 - 2020
- [j6]Gomathi Swaminathan, G. Murugesan, S. Sasikala, L. Murali:
A novel implementation of combined systolic and folded architectures for adaptive filters in FPGA. Microprocess. Microsystems 74: 103018 (2020) - [j5]V. Geetha, V. Anbumani, S. Sasikala, L. Murali:
Efficient hybrid multi-level matching with diverse set of features for image retrieval. Soft Comput. 24(16): 12267-12288 (2020)
2010 – 2019
- 2019
- [j4]S. Koteeswaran, Malarvizhi N, E. Kannan, S. Sasikala, S. Geetha:
Data mining application on aviation accident data for predicting topmost causes for accidents. Clust. Comput. 22(5): 11379-11399 (2019) - [j3]D. Renuka Devi, S. Sasikala:
Online Feature Selection (OFS) with Accelerated Bat Algorithm (ABA) and Ensemble Incremental Deep Multiple Layer Perceptron (EIDMLP) for big data streams. J. Big Data 6: 103 (2019) - [c4]S. Sasikala, M. Bharathi, M. Ezhilarasi, S. Arunkumar:
Breast Cancer Detection Based on Medio-Lateral ObliqueView and Cranio-Caudal View Mammograms: An Overview. iCAST 2019: 1-6 - 2017
- [j2]S. Sasikala, S. Appavu alias Balamurugan, S. Geetha:
A novel adaptive feature selector for supervised classification. Inf. Process. Lett. 117: 25-34 (2017) - [c3]P. Punithavathi, S. Geetha, S. Sasikala:
Generation of Cancelable Iris Template Using Bi-level Transformation. ICBBS 2017: 94-100 - 2016
- [j1]S. Sasikala, S. Appavu alias Balamurugan, S. Geetha:
A novel memetic algorithm for discovering knowledge in binary and multi class predictions based on support vector machine. Appl. Soft Comput. 49: 407-422 (2016) - 2013
- [c2]S. Sasikala, S. Appavu alias Balamurugan, S. Geetha:
RF-SEA-Based Feature Selection for Data Classification in Medical Domain. ICACNI 2013: 599-608 - [c1]S. Sasikala, S. Appavu alias Balamurugan, S. Geetha:
Performance Tuning of PCA by CFS-Shapley Ensemble and Its Application to Medical Diagnosis. PReMI 2013: 53-59 - 2011
- [i1]S. K. Jayanthi, S. Sasikala:
Link Spam Detection based on DBSpamClust with Fuzzy C-means Clustering. CoRR abs/1101.0198 (2011)
Coauthor Index
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