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Rajashri Khanai
Rajashri Khanai
Professor, Electronics and Communication Engineering, KLE Dr. MSSCET Belagavi, India
Verified email at klescet.ac.in - Homepage
Title
Cited by
Cited by
Year
Cognitive radio spectrum sensing: A survey
N Muchandi, R Khanai
2016 International Conference on Electrical, Electronics, and Optimization …, 2016
982016
A survey on semantic communications for intelligent wireless networks
S Iyer, R Khanai, D Torse, RJ Pandya, KM Rabie, K Pai, WU Khan, ...
Wireless Personal Communications 129 (1), 569-611, 2023
292023
Security frameworks for mobile cloud computing: A survey
P Kulkarni, R Khanai, G Bindagi
2016 international conference on electrical, electronics, and optimization …, 2016
262016
Addressing mobile Cloud Computing security issues: A survey
P Kulkarni, R Khanai
2015 International Conference on Communications and Signal Processing (ICCSP …, 2015
242015
A survey on secured wireless body sensor networks
SG Mavinkattimath, R Khanai, DA Torse
2019 International Conference on Communication and Signal Processing (ICCSP …, 2019
222019
A review on seizure detection systems with emphasis on multi-domain feature extraction and classification using machine learning
D Torse, V Desai, R Khanai
BRAIN. Broad Research in Artificial Intelligence and Neuroscience 8 (4), 109-129, 2017
212017
Classification of epileptic seizures using recurrence plots and machine learning techniques
DA Torse, R Khanai, VV Desai
2019 International Conference on Communication and Signal Processing (ICCSP …, 2019
202019
An art of speech recognition: a review
B Jolad, R Khanai
2019 2nd International Conference on Signal Processing and Communication …, 2019
172019
Underwater sensor network at physical, data link and network layer-a survey
SS Shahapur, R Khanai
2015 International Conference on Communications and Signal Processing (ICCSP …, 2015
162015
Localization, routing and its security in UWSN—A survey
SS Shahapur, R Khanai
2016 International Conference on Electrical, Electronics, and Optimization …, 2016
142016
Classification of EEG Signals in a Seizure Detection System Using Dual Tree Complex Wavelet Transform and Least Squares Support Vector Machine.
D Torse, V Desai, R Khanai
International Journal of Image, Graphics & Signal Processing 10 (1), 2018
102018
Performance Analysis of Underwater Acoustic Communication using IDMA-OFDM-MIMO with Reed Solomon and Turbo Code
SSSDT Rajashri Khanai
I. J. Computer Network and Information Security, 10 (12), 41-46, 2018
9*2018
An optimized design of seizure detection system using joint feature extraction of multichannel EEG signals
D Torse, V Desai, R Khanai
Journal of biomedical research 34 (3), 191, 2020
82020
Performance analysis of conventional crypto-coding
R Khanai, GH Kulkarni, DA Torse
International Journal of Latest Trends in Computing 193, 193-197, 2011
82011
An approach for speech enhancement with dysarthric speech recognition using optimization based machine learning frameworks
B Jolad, R Khanai
International Journal Of Speech Technology 26 (2), 287-305, 2023
72023
Simulation of hardware accelerator for wireless body sensor network
SG Mavinkattimath, R Khanai
Wireless Personal Communications 122 (1), 477-487, 2022
72022
A comparative analysis of hybrid encryption technique for images in the cloud environment
P Kulkarni, R Khanai, G Bindagi
2020 International Conference on Communication and Signal Processing (ICCSP …, 2020
72020
Characteristics mode analysis of modified inset-fed microstrip antenna for radio frequency energy harvesting
PS Chindhi, HP Rajani, GB Kalkhambkar, R Khanai
Bioscience Biotechnology Research Communications 13 (13), 171-176, 2020
72020
DIFFERENT FEATURE EXTRACTION TECHNIQUES FOR AUTOMATIC SPEECH RECOGNITION: A REVIEW
BJDR Khanai
IJESRT, INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY …, 2018
7*2018
EEG Signal Classification into Seizure and Non-Seizure Class using Empirical Mode Decomposition and Artificial Neural Network
DRK Dattaprasad A. Torse, Dr. Veena Desai
Imperial Journal of Interdisciplinary Research (IJIR) 3 (1), 1700-1704, 2017
7*2017
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