Dr Dineshen Chuckravanen
Dr Dineshen Chuckravanen
Aberystwyth University Mauritius
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Cited by
Cited by
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
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
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
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
Multiple System Modeling and Analysis of Physiological and Brain Activity and Performance at Rest and During Exercise
D Chuckravanen
PQDT-UK & Ireland, 2012
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
Temporal patterns: Smart-type reasoning and applications
D Chuckravanen, J Daykin, K Hunsdale, A Seeam
International Academy, Research, and Industry Association (IARIA), 2017
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
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
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
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
Allen’s interval algebra and smart-type environments
D Chuckravanen, J Daykin, K Hunsdale, A Seeam
IARIA, 2017
Non-Linear Analysis of Physiological Activities, And Physical Performance during a Self-Pace Time-Trial Cycling Exercise
D Chuckravanen, A Bester
Wavelet Analysis of Physiological Control Mechanisms during Physical Activity
D Chuckravanen, S Rajbhandari
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, ...
Independent Component Analysis of Musical Instrument Sound
D Chuckravanen, B Hamadicharef, EC Ifeachor
Advances in Network and Communications Engineering 2, 149, 2007
Journal Homepage:-www. journalijar. com
JR Flower, D Chuckravanen
Presence of the Characteristics of Scalable'Potential Molecule'for in EEG Signal
RJ Flower, D Chuckravanen
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