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ORCIDM. Kavitha
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2020 – today
- 2024
[j15]M. Kavitha
, K. Akila:
Amplifying document categorization with advanced features and deep learning. Multim. Tools Appl. 83(26): 68087-68105 (2024)- [j14]M. Kavitha, C. Kezi Selva Vijila:
A Wideband Isolation Enhanced MIMO Antenna Design for WIFI 6E Applications. SN Comput. Sci. 5(1): 164 (2024) - 2023
- [j13]R. Bhaskaran, S. Saravanan, M. Kavitha, C. Jeyalakshmi, Seifedine Kadry, Hafiz Tayyab Rauf, Reem Alkhammash:
Intelligent Machine Learning with Metaheuristics Based Sentiment Analysis and Classification. Comput. Syst. Sci. Eng. 44(1): 235-247 (2023) - [j12]N. K. Manikandan, M. Kavitha:
A content recommendation system for e-learning using enhanced Harris Hawks Optimization, Cuckoo search and DSSM. J. Intell. Fuzzy Syst. 44(5): 7305-7318 (2023) - [j11]R. Bhuvanya, M. Kavitha:
A real-time e-commerce accessories recommender system by coupling deep learning and histogram features. J. Intell. Fuzzy Syst. 45(1): 1179-1193 (2023) - [j10]C. R. Komala, V. Velmurugan, K. Maheswari, S. Deena, M. Kavitha, A. Rajaram:
Multi-UAV computing enabling efficient clustering-based IoT for energy reduction and data transmission. J. Intell. Fuzzy Syst. 45(1): 1717-1730 (2023) - [j9]M. Kavitha:
MDP-HML: an efficient detection method for multiple human disease using retinal fundus images based on hybrid learning techniques. Multim. Syst. 29(3): 961-979 (2023) - [c6]Praneeth Kumar Pedapati, Dalli Srinivas Reddy, M. Kavitha, Surbhi Singh, Allamsetty Hemachander:
Reliability Analysis of a Fault-Tolerant Multiport Converter for Renewable Applications. IECON 2023: 1-6 - 2022
- [j8]J. V. Anchitaalagammai, Rajesh Verma, M. Kavitha, Revathi Arumugam Rajendran, S. R. Preethi, Kiranmai Bellam:
Fuzzy Based Reliable Load Balanced Routing Approach for Ad hoc Sensor Networks. Comput. Syst. Sci. Eng. 41(3): 861-874 (2022) - [j7]M. Kavitha, M. Sujaritha:
A Sensitive Wavebands Identification System for Smart Farming. Comput. Syst. Sci. Eng. 43(1): 245-257 (2022) - [j6]V. Nyemeesha, M. Kavitha, B. Mohammed Ismail:
Detection and Classification of Skin Cancer Using Unmanned Transfer Learning Based Probabilistic Multi-Layer Dense Networks. Int. J. Comput. Intell. Appl. 21(4): 2250027:1-2250027:22 (2022) - [j5]B. Sivasankari, M. Shunmugathammal, Ahilan Appathurai, M. Kavitha:
High-Throughput and Power-Efficient Convolutional Neural Network Using One-Pass Processing Elements. J. Circuits Syst. Comput. 31(13): 2250226:1-2250226:15 (2022) - 2021
- [c5]V. Saravana Kumar, S. Anantha Sivaprakasam, M. Kavitha:
Segmentation Of Hyperspectral Image Using Rkm Techniques. ACIT 2021: 1-6 - 2020
- [j4]M. Kavitha, S. Palani:
A comprehensive analysis for retinal image classification methods using real-time database. Int. J. Bus. Inf. Syst. 34(2): 229-252 (2020) - [j3]M. Kavitha, V. Sivachidambaranathan:
New improved two-phase interleaved converter with clamp circuit and diode capacitor cell. Microprocess. Microsystems 75: 103035 (2020)
2010 – 2019
- 2019
- [j2]M. Kavitha, B. G. Geetha:
An efficient city energy management system with secure routing communication using WSN. Clust. Comput. 22(6): 13131-13142 (2019) - 2018
- [c4]M. Kavitha, Vankadara Saritha, P. Venkata Krishna, Mohammad S. Obaidat:
Wireless Sensor Enabled Breast Self-Examination Assistance to Detect Abnormality. CITS 2018: 1-5 - 2017
- [c3]G. Yeswanthi, M. Kavitha, P. S. Priyanka, Dhanesh G. Kurup:
Programmable high data rate qpsk modulator for space applications. ICACCI 2017: 2276-2278 - [c2]M. Parisa Beham, S. Md. Mansoor Roomi, H. Jebina, M. Kavitha:
Face Spoofing Detection using Binary Gradient Orientation Pattern with Deep Neural Network. ICAPR 2017: 1-6 - 2014
- [j1]M. Kavitha, S. Palani:
Hierarchical classifier for soft and hard exudates detection of retinal fundus images. J. Intell. Fuzzy Syst. 27(5): 2511-2528 (2014) - 2011
- [c1]M. Krishnamurthy, Arputharaj Kannan, Ramachandran Baskaran, M. Kavitha:
Cluster based bit vector mining algorithm for finding frequent itemsets in temporal databases. WCIT 2011: 513-523
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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