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Sumaira Tasnim
Sumaira Tasnim
Postgraduate Student, Deakin University
Verified email at deakin.edu.au
Title
Cited by
Cited by
Year
Ensemble classifiers and their applications: a review
A Rahman, S Tasnim
arXiv preprint arXiv:1404.4088, 2014
992014
Wind power prediction in new stations based on knowledge of existing Stations: A cluster based multi source domain adaptation approach
S Tasnim, A Rahman, AMT Oo, ME Haque
Knowledge-Based Systems 145, 15-24, 2018
402018
Autoencoder for wind power prediction
S Tasnim, A Rahman, AMT Oo, M Enamul Haque
Renewables: Wind, Water, and Solar 4, 1-11, 2017
172017
Wind power prediction using cluster based ensemble regression
S Tasnim, A Rahman, AMT Oo, ME Haque
International Journal of Computational Intelligence and Applications 16 (04 …, 2017
142017
Application of machine learning techniques in aquaculture
A Rahman, S Tasnim
arXiv preprint arXiv:1405.1304, 2014
102014
A time series ensemble method to predict wind power
S Tasnim, A Rahman, GM Shafiullah, AMT Oo, A Stojcevski
2014 IEEE symposium on computational intelligence applications in smart grid …, 2014
82014
Power losses from wind generated electricity in high voltage AC transmission: an analysis through simulation
S Tasnim, A Rahman, AMT Oo, MF Islam
International Journal of Renewable Energy Technology 5 (1), 77-92, 2014
42014
Block Motion Based Dynamic Texture Analysis: A Review
A Rahman, S Tasnim
International Journal of ComputerTrends and Technology 8 (2), 76-78, 2014
22014
Wind generated electricity: a review of generation, transmission and power loss
S Tasnim, AMT Oo, F Islam
International Journal of Advanced Renewable Energy Research 1 (4), 2012
22012
Power loss investigation in wind generated electricity through HVAC transmission system
S Tasnim
CQUniversity, 2012
22012
An adaptive harmonic broadcasting scheme with download and playback synchronisation for video on demand
MS Rahaman, A Rahman, S Tasnim
International Journal of Multimedia Intelligence and Security 2 (1), 4-17, 2011
22011
Investigation of Advanced Machine Learning Methods for Wind Power Prediction
S Tasnim
Deakin University, 2021
2021
Analysis of power losses in wind generated electricity through simulation
S Tasnim, A Maung Than Oo, F Islam, A Rahman
Deakin University, 2012
2012
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Articles 1–13