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Sreenatha Anavatti
Sreenatha Anavatti
Verified email at adfa.edu.au
Title
Cited by
Cited by
Year
PANFIS: A novel incremental learning machine
M Pratama, SG Anavatti, PP Angelov, E Lughofer
IEEE Transactions on Neural Networks and Learning Systems 25 (1), 55-68, 2013
2842013
GENEFIS: Toward an effective localist network
M Pratama, SG Anavatti, E Lughofer
IEEE Transactions on Fuzzy Systems 22 (3), 547-562, 2013
1902013
State-of-the-art intelligent flight control systems in unmanned aerial vehicles
F Santoso, MA Garratt, SG Anavatti
IEEE Transactions on Automation Science and Engineering 15 (2), 613-627, 2017
1582017
Multimodal fusion for objective assessment of cognitive workload: A review
E Debie, RF Rojas, J Fidock, M Barlow, K Kasmarik, S Anavatti, M Garratt, ...
IEEE transactions on cybernetics 51 (3), 1542-1555, 2019
1532019
pClass: an effective classifier for streaming examples
M Pratama, SG Anavatti, M Joo, ED Lughofer
IEEE Transactions on Fuzzy Systems 23 (2), 369-386, 2014
1332014
Visual–inertial navigation systems for aerial robotics: Sensor fusion and technology
F Santoso, MA Garratt, SG Anavatti
IEEE Transactions on Automation Science and Engineering 14 (1), 260-275, 2016
1102016
An incremental meta-cognitive-based scaffolding fuzzy neural network
M Pratama, J Lu, S Anavatti, E Lughofer, CP Lim
Neurocomputing 171, 89-105, 2016
1102016
Towards real-time monocular depth estimation for robotics: A survey
X Dong, MA Garratt, SG Anavatti, HA Abbass
IEEE Transactions on Intelligent Transportation Systems 23 (10), 16940-16961, 2022
1052022
Design and construction of an autonomous underwater vehicle
K Alam, T Ray, SG Anavatti
Neurocomputing 142, 16-29, 2014
1042014
Scaffolding type-2 classifier for incremental learning under concept drifts
M Pratama, J Lu, E Lughofer, G Zhang, S Anavatti
Neurocomputing 191, 304-329, 2016
1002016
Recurrent classifier based on an incremental metacognitive-based scaffolding algorithm
M Pratama, SG Anavatti, J Lu
IEEE Transactions on Fuzzy Systems 23 (6), 2048-2066, 2015
992015
Electroencephalographic workload indicators during teleoperation of an unmanned aerial vehicle shepherding a swarm of unmanned ground vehicles in contested environments
R Fernandez Rojas, E Debie, J Fidock, M Barlow, K Kasmarik, S Anavatti, ...
Frontiers in neuroscience 14, 40, 2020
942020
An incremental type-2 meta-cognitive extreme learning machine
M Pratama, G Zhang, MJ Er, S Anavatti
IEEE transactions on cybernetics 47 (2), 339-353, 2016
862016
Observer-based adaptive guidance law considering target uncertainties and control loop dynamics
D Chwa, JY Choi, SG Anavatti
IEEE Transactions on Control Systems Technology 14 (1), 112-123, 2005
772005
A brief taxonomy of autonomous underwater vehicle design literature
K Alam, T Ray, SG Anavatti
Ocean Engineering 88, 627-630, 2014
742014
Robust hybrid nonlinear control systems for the dynamics of a quadcopter drone
F Santoso, MA Garratt, SG Anavatti, I Petersen
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (8), 3059-3071, 2018
702018
Modified continuous ant colony optimisation for multiple unmanned ground vehicle path planning
J Liu, S Anavatti, M Garratt, HA Abbass
Expert Systems with Applications 196, 116605, 2022
672022
Palm: An incremental construction of hyperplanes for data stream regression
MM Ferdaus, M Pratama, SG Anavatti, MA Garratt
IEEE Transactions on Fuzzy Systems 27 (11), 2115-2129, 2019
622019
Evolving type-2 web news mining
C Za’in, M Pratama, E Lughofer, SG Anavatti
Applied Soft Computing 54, 200-220, 2017
602017
PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles
MM Ferdaus, M Pratama, SG Anavatti, MA Garratt, E Lughofer
Information sciences 512, 481-505, 2020
592020
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