Review of exercise-induced physiological control models to explain the development of fatigue to improve sports performance and future trend D Chuckravanen, S Bulut, GB Kürklü, G Yapali Science & Sports 34 (3), 131-140, 2019 | 27 | 2019 |
Approximate Entropy as a Measure of Cognitive Fatigue: An EEG Pilot Study D Chuckravanen International Journal of Emerging Trends in Science and Technology 1 (7 …, 2014 | 23 | 2014 |
Brain signal analysis using EEG and Entropy to study the effect of physical and mental tasks on cognitive performance D Chuckravanen, S Rajbhandari, A Bester BRAIN. Broad Research in Artificial Intelligence and Neuroscience 5 (1-4), 46-59, 2015 | 9 | 2015 |
Management of metabolic resources for a 20-km cycling time-trial using different types of pacing D Chuckravanen, S Rajbhandari Journal of Human Sport and Exercise 10 (1), 95-103, 2015 | 5 | 2015 |
Multiple System Modeling and Analysis of Physiological and Brain Activity and Performance at Rest and During Exercise D Chuckravanen PQDT-UK & Ireland, 2012 | 5 | 2012 |
Novel Method Employing Accelerated-Oscillated Wave Saline Solutions to Unblock Blood Vessels—Physics and Fluid Dynamics Perspectives and Simulations S Stewart, D Chuckravanen Open Journal of Biophysics 11 (4), 415-424, 2021 | 2 | 2021 |
Temporal patterns: Smart-type reasoning and applications D Chuckravanen, J Daykin, K Hunsdale, A Seeam 93919, 2017 | 2 | 2017 |
Investigation of Complexity and regulatory role of physiological activities during a pacing exercise M Angelova, S Shelyag, S Rajasegarar, D Chuckravanen, S Rajbhandari, ... IEEE Access 7, 152334-152346, 2019 | 1 | 2019 |
Allen’s interval algebra and smart-type environments D Chuckravanen, J Daykin, K Hunsdale, A Seeam International Journal on Advances in Software, 2017 | 1 | 2017 |
Intravenous-Accelerated Saline Particles to Unblock Partially Clogged Blood Vessels Using a Microcontroller S Stewart, D Chuckravanen Journal of Biosciences and Medicines 10 (11), 35-44, 2022 | | 2022 |
ROC and SAT analysis of different grayscale test images (Distractors L and Target T) to customize a Visual-Search Attention Task D Chuckravanen, B Ilhan, N Dalkı Open Journal of Biophysics 11 (4), 407-414, 2021 | | 2021 |
Mathematical modelling and analysis of elite athletes’ sprint data to study the rate and regulation of ATP during a maximal exercise of short duration D Chuckravanen, L Ahlimale, S Rajbhandari PeerJ Preprints 6, e26919v1, 2018 | | 2018 |
BRAIN Journal-Brain signal analysis using EEG and Entropy to study the effect of physical and mental tasks on cognitive performance D Chuckravanen, S Rajbhandari, A Bester figshare, 2017 | | 2017 |
Non-Linear Analysis of Physiological Activities, And Physical Performance during a Self-Pace Time-Trial Cycling Exercise D Chuckravanen, A Bester | | 2014 |
Wavelet Analysis of Physiological Control Mechanisms during Physical Activity D Chuckravanen, S Rajbhandari | | 2014 |
The effect and complexity of various pacing strategies on the energy expenditure during a 20km cycling time trial D Chuckravanen, K Thomas, M Stone, A St Clair Gibson, L Ansley, ... | | 2009 |
Independent Component Analysis of Musical Instrument Sound D Chuckravanen, B Hamadicharef, EC Ifeachor Advances in Network and Communications Engineering 2, 149, 2007 | | 2007 |
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