Ravinesh Deo - Dissemin

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All papers authored by Ravinesh Deo

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2023 Shuting Xu, Ravinesh C. Deo

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, Prabal Datta Barua

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, Oliver Faust, Nusrat Homaira, Adam Jaffe, Arm Luthful Kabir, U. Rajendra Acharya

Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)

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S. Janifer Jabin Jui

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, Ravinesh C. Deo

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, Prabal Datta Barua

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, Aruna Devi, Jeffrey Soar

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, U. Rajendra Acharya

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Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012–2022)

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Mahesh Anil Inamdar, U. Raghavendra

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, Anjan Gudigar

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, Sarvesh Bhandary, Massimo Salvi

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, Ravinesh C. Deo

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, Prabal Datta Barua

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, Edward J. Ciaccio, Filippo Molinari

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, U. Rajendra Acharya

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A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images

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Jeffrey Soar

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, Ravinesh C. Deo

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, Prabal Datta Barua

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, Eliezer Rinen, U. Rajendra Acharya

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Deep Image Analysis for Microalgae Identification

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2022 Abul Abrar Masrur Ahmed

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, Ravinesh C. Deo

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, Sujan Ghimire

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, Nathan J. Downs

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, Prabal D. Barua

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, Zaher M. Yaseen

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Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model

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Suraj Kumar Bhagat

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, Tiyasha Tiyasha

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, Tabarak Malik, Ali H. Jawad

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, Khaled Mohamed Khedher

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, Ravinesh C. Deo

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, Zaher Mundher Yaseen

Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects

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2021 Hui Wen Loh, Wanrong Hong, Chui Ping Ooi

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, Subrata Chakraborty

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, Prabal Datta Barua

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, Ravinesh C. Deo

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, Elizabeth E. Palmer, U. Rajendra Acharya

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Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011–2021)

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2018 Thong Nguyen-Huy

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, Ravinesh C. Deo

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, Shahbaz Mushtaq, Jarrod Kath, Shahjahan Khan

Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management

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2017 Zhenliang Yin, Qi Feng, Linshan Yang, Ravinesh Deo

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, Xiaohu Wen, Jianhua Si, Shengchun Xiao

Future Projection with an Extreme-Learning Machine and Support Vector Regression of Reference Evapotranspiration in a Mountainous Inland Watershed in North-West China

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