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Book Chapter

Ganesan, RA (2020) Cardiorespiratory and endocrine mechanisms behind the effectiveness of pranayama. [Book Chapter]

Conference Paper

Pradeep Kumar, G and Dutta, U and Sharma, K and Ganesan, RA (2022) EEG-based biometrics: phase-locking value from gamma band performs well across heterogeneous datasets. In: 21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022, 14 - 16 September 2022, Darmstadt.

Jain, R and Ganesan, RA (2022) Poincaré plot analysis for sleep-wake classification of unseen patients using a single EEG channel. In: 17th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022, 22 - 24 June 2022, Messina.

Panachakel, JT and Ganesan, RA and Ananthapadmanabha, TV (2021) Common Spatial Pattern Based Data Augmentation Technique for Decoding Imagined Speech. In: 7th IEEE International Conference on Electronics, Computing and Communication Technologies,, 9-11 Jul 2021, Bangalore.

Anil Kumar, KK and Shiva Kumar, HR and Ganesan, RA and Jnanesh, KP (2021) Efficient Human-Quality Kannada TTS using Transfer Learning on NVIDIA's Tacotron2. In: 7th IEEE International Conference on Electronics, Computing and Communication Technologies, 9-11 Jul 2021, Bangalore.

Ganesan, RA and Sharma, K (2020) Redesign of the COVID-19 ICUs to Save the Corona Warriors. In: 1st IEEE Bangalore Humanitarian Technology Conference, B-HTC 2020, 8 - 10 October 2020, Vijiyapur.

Journal Article

Sharma, K and Achermann, P and Panwar, B and Sahoo, S and Pascual-Marqui, RD and Faber, PL and Ganesan, RA (2023) High Theta–Low Alpha Modulation of Brain Electric Activity During Eyes-Open Brahma Kumaris Rajyoga Meditation. In: Mindfulness .

Jain, R and Ganesan, RA (2022) Classifying sleep-wake states of patients by training on single EEG or EOG channel data from normal subjects. In: 2022 IEEE Region 10 Symposium, TENSYMP 2022 .

Panachakel, JT and Ganesan, RA (2021) Decoding Imagined Speech from EEG Using Transfer Learning. In: IEEE Access, 9 . pp. 135371-135383.

Pandey, RK and Ganesan, RA (2020) Deepinterpolation: Fusion of multiple interpolations and CNN to obtain superresolution. In: IET Image Processing, 14 (15). pp. 4000-4011.