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J. Akilandeswari
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2020 – today
- 2024
- [j9]R. Sangeethapriya, J. Akilandeswari:
Classification of cyberbullying messages using text, image and audio in social networks: a deep learning approach. Multim. Tools Appl. 83(1): 2237-2266 (2024) - 2023
- [j8]R. Saravana Ram, J. Akilandeswari, M. Vinoth Kumar
:
HybDeepNet: A Hybrid Deep Learning Model for Detecting Cardiac Arrhythmia from ECG Signals. Inf. Technol. Control. 52(2): 433-444 (2023) - [c7]M. Priadarsini
, J. Akilandeswari, S. P. Priyadharshini, R. Janani Devi, V. Abi Priya:
Discovering Informative Data from Catastrophe Tweets Using Sentiment Analysis. ICCCNT 2023: 1-6 - 2022
- [j7]Pethuru Raj, J. Akilandeswari, M. Marimuthu
:
Chapter Five - The edge AI paradigm: Technologies, platforms and use cases. Adv. Comput. 127: 139-182 (2022) - [j6]M. Marimuthu
, J. Akilandeswari, P. R. Chelliah:
Identification of trustworthy cloud services: solution approaches and research directions to build an automated cloud broker. Computing 104(1): 43-72 (2022) - [j5]J. Akilandeswari, G. Jothi, Dhanasekaran Kuttiyapillai
, Kousalya K., Sathiyamoorthi V.:
Hybrid Firefly-Ontology-Based Clustering Algorithm for Analyzing Tweets to Extract Causal Factors. Int. J. Semantic Web Inf. Syst. 18(1): 1-27 (2022) - [j4]J. Akilandeswari, G. Jothi, A. Naveenkumar, R. S. Sabeenian
, P. Iyyanar, M. E. Paramasivam:
Design and development of an indoor navigation system using denoising autoencoder based convolutional neural network for visually impaired people. Multim. Tools Appl. 81(3): 3483-3514 (2022) - [c6]M. Priadarsini
, J. Akilandeswari:
Recent Approaches on Aspect Based Sentiment Analysis incorporating Deep Learning techniques. ICCCNT 2022: 1-7 - 2021
- [j3]J. Akilandeswari, G. Jothi, A. Naveenkumar, R. S. Sabeenian
, P. Iyyanar, M. E. Paramasivam:
Detecting Pulmonary Embolism using Deep Neural Networks. Int. J. Perform. Eng. 17(3): 322-332 (2021) - [c5]A. Naveenkumar, J. Akilandeswari:
Deep Learning Algorithms for Object Detection - A Study. FICTA (2) 2021: 65-75 - [c4]G. Jothi, J. Akilandeswari, S. David Samuel Azariya, A. Naveenkumar:
Unsupervised Feature Selection Approaches for Medical Dataset Using Soft Computing Techniques. FICTA (2) 2021: 105-114 - [c3]R. Sangeethapriya, J. Akilandeswari:
Identify Twitter Data from Humans or Bots Using Machine Learning Algorithms with Kendalls Correlation. FICTA (2) 2021: 203-212 - 2020
- [c2]J. Akilandeswari, A. Naveenkumar, R. S. Sabeenian
, P. Iyyanar, M. E. Paramasivam
, G. Jothi:
An Investigation on Indoor Navigation Systems. FICTA (1) 2020: 115-124
2010 – 2019
- 2019
- [j2]J. Dhayanithi, J. Akilandeswari:
Interblend fusing of genetic algorithm-based attribute selection for clustering heterogeneous data set. Soft Comput. 23(8): 2747-2759 (2019) - 2016
- [j1]K. V. Shanthi, J. Akilandeswari, G. Jothi:
Mining frequent patterns without tree generation. Int. J. Data Min. Model. Manag. 8(3): 265-278 (2016) - 2011
- [c1]Pon Harshavardhanan, J. Akilandeswari, K. A. Anjali Krishna:
Semantic Web Service Discovery with Structural Level Matching of Operations. ADCONS 2011: 77-84 - [i1]V. Anitha, J. Akilandeswari:
Secured Message Transmission in Mobile AD HOC Networks through Identification and Removal of Byzantine Failures. CoRR abs/1104.4690 (2011)
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