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S. Kannimuthu
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2020 – today
- 2024
- [j23]Sharmila Devi V, S. Kannimuthu
, Anand Kumar Madasamy
The Effect of Phrase Vector Embedding in Explainable Hierarchical Attention-Based Tamil Code-Mixed Hate Speech and Intent Detection. IEEE Access 12: 11316-11329 (2024) - [j22]S. Pragadeeswaran, S. Kannimuthu:
An Adaptive Intelligent Polar Bear (AIPB) Optimization-Quantized Contempo Neural Network (QCNN) model for Parkinson's disease diagnosis using speech dataset. Biomed. Signal Process. Control. 87(Part B): 105467 (2024) - [j21]S. Pragadeeswaran, S. Kannimuthu:
Cosine deep convolutional neural network for Parkinson's disease detection and severity level classification using hand drawing spiral image in IoT platform. Biomed. Signal Process. Control. 94: 106220 (2024) - [j20]S. S. Nandhini, S. Kannimuthu:
Mining high average utility itemsets using artificial fish swarm algorithm with computed multiple minimum average utility thresholds. J. Intell. Fuzzy Syst. 46(1): 1597-1613 (2024) - [j19]Ramesh P. Natarajan
Practice challenge recommendations in online judge using implicit rating extraction and utility sequence patterns. Data Technol. Appl. 58(5): 718-741 (2024) - 2023
- [j18]K. Chola Raja
Conditional Generative Adversarial Network Approach for Autism Prediction. Comput. Syst. Sci. Eng. 44(1): 741-755 (2023) - [j17]Kannimuthu Subramanian
Mining high utility itemsets using Genetic Algorithm Based-Particle Swarm Optimization (GA-PSO). J. Intell. Fuzzy Syst. 44(1): 1169-1189 (2023) - [j16]K. Chola Raja, S. Kannimuthu:
Deep learning-based feature selection and prediction system for autism spectrum disorder using a hybrid meta-heuristics approach. J. Intell. Fuzzy Syst. 45(1): 797-807 (2023) - [j15]Sharmila Devi V
Author Profiling in Code-Mixed WhatsApp Messages Using Stacked Convolution Networks and Contextualized Embedding Based Text Augmentation. Neural Process. Lett. 55(1): 589-614 (2023) - [c6]Supratim Saha, Rajni Gautam, Pravesh Belwal, S. Hemelatha, S. Kannimuthu, Vijaya N. Aher:
Multi-Tap Canceller for Wi-Fi Communication in Band with Fill Duplex. IC3I 2023: 1963-1968 - [c5]Shubhashis Goswami, Kaushal Kumar, Santosh Kumar, D. Anandhasilambarasan, S. Kannimuthu, V. K. Kolekar:
Performance Boosting of Automatic Sun Following Panels Using Soft Computing Technique. IC3I 2023: 1995-2001 - [c4]Sanjeev Kumar Verma, Digvijay Singh, Yogita Yashveer Raghav, S. Hemelatha, S. Kannimuthu, Chitrakant Banchhor:
Collaborative MAC Protocol Design for Enhanced Network Lifetime in Mobile Ad Hoc Networks. IC3I 2023: 2082-2088 - 2022
- [j14]P. D. Mahendhiran, Kannimuthu Subramanian
CLSA-CapsNet: Dependency based concept level sentiment analysis for text. J. Intell. Fuzzy Syst. 43(1): 107-123 (2022) - [j13]Kannimuthu Subramanian
Discovery of Interesting Itemsets for Web Service Composition Using Hybrid Genetic Algorithm. Neural Process. Lett. 54(5): 3913-3939 (2022) - [j12]Sreeja Balachandran Nair Premakumari
An Enhanced Localization Approach for Energy Conservation in Wireless Sensor Network with Q Deep Learning Algorithm. Symmetry 14(12): 2515 (2022) - 2021
- [j11]R. Gopi, S. T. Suganthi, Rajadevi Ramasamy
An Enhanced Green Cloud Based Queue Management (GCQM) System to Optimize Energy Consumption in Mobile Edge Computing. Wirel. Pers. Commun. 117(4): 3397-3419 (2021) - 2020
- [j10]P. M. Arunkumar, S. Kannimuthu:
Mining big data streams using business analytics tools: a bird's eye view on MOA and SAMOA. Int. J. Bus. Intell. Data Min. 17(2): 226-236 (2020) - [j9]Usha Gopal, Kannimuthu Subramanian
Static analysis method for detecting cross site scripting vulnerabilities. Int. J. Inf. Comput. Secur. 13(1): 32-47 (2020)
2010 – 2019
- 2019
- [j8]K. S. Bhuvaneshwari, D. Bhanu, S. Sophia, S. Kannimuthu:
Probabilistic variable precision fuzzy rough set technique for discovering optimal learning patterns in e-learning. Int. J. Bus. Intell. Data Min. 14(1/2): 121-137 (2019) - [j7]Kannimuthu Subramanian
Stellar mass black hole optimisation for utility mining. Int. J. Data Anal. Tech. Strateg. 11(3): 222-245 (2019) - [j6]P. M. Arunkumar, S. Chandramathi, S. Kannimuthu:
Sentiment analysis-based framework for assessing internet telemedicine videos. Int. J. Data Anal. Tech. Strateg. 11(4): 328-336 (2019) - [j5]D. Gowtham Chakravarthy, S. Kannimuthu:
Extreme Gradient Boost Classification Based Interesting User Patterns Discovery for Web Service Composition. Mob. Networks Appl. 24(6): 1883-1895 (2019) - [c3]Sharmila Devi V, Kannimuthu S, Ravikumar G, Anand Kumar M:
KCE DALab-APDA@FIRE2019: Author Profiling and Deception Detection in Arabic using Weighted Embedding. FIRE (Working Notes) 2019: 136-143 - 2018
- [j4]P. D. Mahendhiran
Deep Learning Techniques for Polarity Classification in Multimodal Sentiment Analysis. Int. J. Inf. Technol. Decis. Mak. 17(3): 883-910 (2018) - [c2]Sharmila Devi V, S. Kannimuthu, Ravikumar G, Anand Kumar M:
KCE_DAlab@MAPonSMS-FIRE2018: Effective word and character-based features for Multilingual Author Profiling. FIRE (Working Notes) 2018: 213-222 - 2017
- [j3]Usha Gopal, Kannimuthu Subramanian
A secure cross-layer AODV routing method to detect and isolate (SCLARDI) black hole attacks for MANET. Turkish J. Electr. Eng. Comput. Sci. 25: 2761-2769 (2017) - [c1]Sharmila Devi V, S. Kannimuthu, Safeeq G, Anand Kumar M:
KEC_DAlab @ EventXtract-IL-FIRE2017: Event Extraction using Support Vector Machines. FIRE (Working Notes) 2017: 144-146 - 2015
- [j2]Kannimuthu Subramanian
UP-GNIV: an expeditious high utility pattern mining algorithm for itemsets with negative utility values. Int. J. Inf. Technol. Manag. 14(1): 26-42 (2015) - 2014
- [j1]S. Kannimuthu, K. Premalatha
Discovery of High Utility Itemsets Using Genetic Algorithm with Ranked Mutation. Appl. Artif. Intell. 28(4): 337-359 (2014)
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