Select Publications

Journal articles

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA, 2019, 'PALM: An Incremental Construction of Hyperplanes for Data Stream Regression', IEEE Transactions on Fuzzy Systems, 27, pp. 2115 - 2129, http://dx.doi.org/10.1109/TFUZZ.2019.2893565

Santoso F; Garratt M; Anavatti S, 2019, 'T2-ETS-IE: Type-2 Evolutionary Takagi-Sugeno Fuzzy Inference Systems with the Information Entropy-Based Pruning Technique', IEEE Transactions on Fuzzy Systems, 28, http://dx.doi.org/10.1109/TFUZZ.2019.2943813

Ferdaus MM; Anavatti SG; Garratt MA; Pratama M, 2019, 'Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle', Journal of Artificial Intelligence and Soft Computing Research, 9, pp. 99 - 109, http://dx.doi.org/10.2478/jaiscr-2018-0027

Santoso F; Garratt M; Anavatti S, 2019, 'Hybrid PD-Fuzzy and PD Controllers for Trajectory Tracking of a Quadrotor Unmanned Aerial Vehicle: Autopilot Designs and Real-Time Flight Tests', IEEE Transactions on Systems Man and Cybernetics: Systems, 51, pp. 1817 - 1829, http://dx.doi.org/10.1109/TSMC.2019.2906320

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA, 2019, 'Online identification of a rotary wing Unmanned Aerial Vehicle from data streams', Applied Soft Computing Journal, 76, pp. 313 - 325, http://dx.doi.org/10.1016/j.asoc.2018.12.013

Biswas S; Anavatti SG; Garratt MA, 2019, 'A time-efficient co-operative path planning model combined with task assignment for multi-agent systems', Robotics, 8, http://dx.doi.org/10.3390/ROBOTICS8020035

Debie E; Fernandez Rojas R; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2019, 'Multi-Modal Fusion for Objective Assessment of Cognitive Workload: A Review', IEEE Transactions on Cybernetics, 51, pp. 1542 - 1555, http://dx.doi.org/10.1109/TCYB.2019.2939399

Biswas S; Anavatti S; Krippner HP, 2018, 'Particle swarm optimization based real time path planning and obstacle avoidance of UAVs using low cost sensors', International Journal for Research in Applied Science and Engineering Technology (IJRASET), https://www.ijraset.com/fileserve.php?FID=16268

Francis SLX; Anavatti SG; Garratt M, 2018, 'Real-time path planning module for autonomous vehicles in cluttered environment using a 3D camera', International Journal of Vehicle Autonomous Systems, 14, pp. 40 - 61, http://dx.doi.org/10.1504/IJVAS.2018.093106

Garratt M; Francis SLX; Anavatti SG, 2018, 'Real-time path planning module for autonomous vehicles in cluttered environment using a 3D camera', International Journal of Vehicle Autonomous Systems, 14, pp. 40 - 40, http://dx.doi.org/10.1504/ijvas.2018.10014269

Pratama M; Lughofer E; Er MJ; Anavatti S; Lim CP, 2017, 'Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network', Neurocomputing, 262, pp. 4 - 27, http://dx.doi.org/10.1016/j.neucom.2016.10.093

Alam K; Ray T; Anavatti SG, 2017, 'Design Optimization of an Unmanned Underwater Vehicle Using Low- A nd High-Fidelity Models', IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47, pp. 2794 - 2808, http://dx.doi.org/10.1109/TSMC.2015.2390592

Li C; Anavatti SG; Ray T, 2017, 'A Path-Based Solution Algorithm for Dynamic Traffic Assignment', Networks and Spatial Economics, 17, pp. 841 - 860, http://dx.doi.org/10.1007/s11067-017-9346-1

Anavatti SG, 2017, 'Aggressive formation flying of fixedwing UAVs with Differential Geometric Guidance', Unmanned Systems, 5, pp. 97 - 113, http://dx.doi.org/10.1142/S2301385017500078

Za'in C; Pratama M; Lughofer E; Anavatti SG, 2017, 'Evolving type-2 web news mining', Applied Soft Computing Journal, 54, pp. 200 - 220, http://dx.doi.org/10.1016/j.asoc.2016.11.034

Halder KK; Paul M; Tahtali M; Anavatti SG; Murshed M, 2017, 'Correction of geometrically distorted underwater images using shift map analysis', Journal of the Optical Society of America A: Optics and Image Science, and Vision, 34, pp. 666 - 673, http://dx.doi.org/10.1364/JOSAA.34.000666

Santoso F; Anavatti SG; Garratt MA, 2017, 'State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles', IEEE Transactions on Automation Science and Engineering, 15, pp. 613 - 627, http://dx.doi.org/10.1109/TASE.2017.2651109

Pratama M; Zhang G; Er MJ; Anavatti S, 2017, 'An Incremental Type-2 Meta-Cognitive Extreme Learning Machine', IEEE Transactions on Cybernetics, 47, pp. 339 - 353, http://dx.doi.org/10.1109/TCYB.2016.2514537

Wang J; Garratt MA; Anavatti SG, 2017, 'Real-time path planning algorithm for autonomous vehicles in unknown environments', International Journal of Mechatronics and Automation, 6, pp. 1 - 9, http://dx.doi.org/10.1504/IJMA.2017.093238

Santoso F; Garratt MA; Anavatti SG, 2017, 'Visual-inertial navigation systems for aerial robotics: Sensor fusion and technology', IEEE Transactions on Automation Science and Engineering, 14, pp. 260 - 275, http://dx.doi.org/10.1109/TASE.2016.2582752

Anavatti SG; Garratt MA; Wang J, 2017, 'Real-time path planning algorithm for autonomous vehicles in unknown environments', International Journal of Mechatronics and Automation, 6, pp. 1 - 1, http://dx.doi.org/10.1504/ijma.2017.10014343

Hassanein O; Anavatti SG; Shim H; Ray T, 2016, 'Model-based adaptive control system for autonomous underwater vehicles', Ocean Engineering, 127, pp. 58 - 69, http://dx.doi.org/10.1016/j.oceaneng.2016.09.034

Tehrani MH; Garratt MA; Anavatti SG, 2016, 'Low-altitude horizon-based aircraft attitude estimation using UV-filtered panoramic images and optic flow', IEEE Transactions on Aerospace and Electronic Systems, 52, pp. 2362 - 2375, http://dx.doi.org/10.1109/TAES.2016.14-0534

Pratama M; Lu J; Lughofer E; Zhang G; Anavatti S, 2016, 'Scaffolding type-2 classifier for incremental learning under concept drifts', Neurocomputing, 191, pp. 304 - 329, http://dx.doi.org/10.1016/j.neucom.2016.01.049

Pratama M; Lu J; Lughofer E; Zhang G; Anavatti S, 2016, 'Scaffolding type-2 classifier for incremental learning under concept drifts', Neurocomputing, 191, pp. 304 - 329, http://dx.doi.org/10.1016/j.neucom.2016.01.049

Halder KK; Tahtali M; Anavatti SG, 2016, 'Moving object detection and tracking in videos through turbulent medium', Journal of Modern Optics, 63, pp. 1015 - 1021, http://dx.doi.org/10.1080/09500340.2015.1117665

Pratama M; Lu J; Anavatti S; Lughofer E; Lim CP, 2016, 'An incremental meta-cognitive-based scaffolding fuzzy neural network', Neurocomputing, 171, pp. 89 - 105, http://dx.doi.org/10.1016/j.neucom.2015.06.022

Pratama M; Anavatti SG; Lu J, 2015, 'Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm', IEEE Transactions on Fuzzy Systems, 23, pp. 2048 - 2066, http://dx.doi.org/10.1109/TFUZZ.2015.2402683

Anavatti SG; Francis S; garratt M, 2015, 'A ToF-camera as a 3D Vision Sensor for Autonomous Mobile Robotics', International Journal of Advanced Robotic Systems, 12, http://dx.doi.org/10.5772/61348

Halder KK; Tahtali M; Anavatti SG, 2015, 'Geometric correction of atmospheric turbulence-degraded video containing moving objects', Optics Express, 23, pp. 5091 - 5101, http://dx.doi.org/10.1364/OE.23.005091

Halder KK; Tahtali M; Anavatti SG, 2014, 'Simple algorithm for correction of geometrically warped underwater images', Electronics Letters, 50, pp. 1687 - 1689, http://dx.doi.org/10.1049/el.2014.3142

Halder KK; Tahtali M; Anavatti SG, 2014, 'Model-free prediction of atmospheric warp based on artificial neural network', Applied Optics, 53, pp. 7087 - 7094, http://dx.doi.org/10.1364/AO.53.007087

Alam K; Ray T; Anavatti SG, 2014, 'A brief taxonomy of autonomous underwater vehicle design literature', Ocean Engineering, 88, pp. 627 - 630, http://dx.doi.org/10.1016/j.oceaneng.2014.04.027

Halder KK; Tahtali M; Anavatti SG, 2014, 'An Artificial Neural Network Approach for Underwater Warp Prediction', Artificial Intelligence: Methods and Applications, Lecture Notes in Computer Science, 8445, pp. 384 - 394, http://dx.doi.org/10.1007/978-3-319-07064-3_31

Alam K; Ray T; Anavatti SG, 2014, 'Design and construction of an autonomous underwater vehicle', Neurocomputing, 142, pp. 16 - 29, http://dx.doi.org/10.1016/j.neucom.2013.12.055

Pratama M; Anavatti S; Er MJ; Lughofer E, 2014, 'pClass: An Effective Classifier to Streaming Examples', IEEE Transactions on Fuzzy Systems, pp. 1 - 1, http://dx.doi.org/10.1109/TFUZZ.2014.2312983

Halder KK; Tahtali M; Anavatti SG, 2014, 'Simple and efficient approach for restoration of non-uniformly warped images', Applied Optics, 53, pp. 5576 - 5584, http://dx.doi.org/10.1364/AO.53.005576

Ray T; Anavatti S; Hassanein O, 2013, 'Hybrid Neuro-Fuzzy Network Identification for Autonomous Underwater Vehicles', , http://www.google.com.au/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&ved=0CDcQFjAC&url=http://link.springer.com/chapter/10.1007%252F978-3-319-03756-1_26&ei=yVoyU7y-JoG-kAXQ6oHQBA&usg=AFQjCNGM3LkFPDd56j3hacP2zHLHgjD8Qg&bvm=bv.63738703,d.dGI&cad=rja

Anavatti SG; Ray T; Kirsanov A, 2013, 'Path Planning for the Autonomous Underwater Vehicle', , http://www.google.com.au/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&cad=rja&uact=8&ved=0CEIQFjAE&url=http://link.springer.com/chapter/10.1007%252F978-3-319-03756-1_43&ei=yVoyU7y-JoG-kAXQ6oHQBA&usg=AFQjCNHdlZQo31rt7htOZ90QstBG16MiVQ&bvm=bv.63738703,d.dGI

Halder KK; Tahtali M; Anavatti SG, 2013, 'High Precision Restoration Method for Non-Uniformly Warped Images', Advanced Concepts for Intelligent Vision Systems. Lecture Notes in Computer Science, 8192, pp. 60 - 67, http://dx.doi.org/10.1007/978-3-319-02895-8_6

Li C; Anavatt SG; Ray T, 2013, 'Analytical hierarchy process using fuzzy inference technique for real time route guidance system', IEEE Transactions on Intelligent Transportation Systems

Hassan O; Sreenatha AG; Ray T, 2013, 'Black-box tool for nonlinear system identification based upon fuzzy system', International Journal of Computational Intelligence and Applications, 12, pp. 1350009-1 - 1350009-21, http://dx.doi.org/10.1142/S1469026813500090

Tehrani MH; Garratt MA; Sreenatha AG, 2013, 'Computationally Efficient Horizon-Based Attitude Estimation from a Panoramic UV-Vision Sensor', Control Engineering Practice

Pratama M; Sreenatha AG; Lughofer ED, 2013, 'GENFIS: Towards An Effective Localist Network', IEEE Transactions on Fuzzy Systems, http://dx.doi.org/10.1109/TFUZZ.2013.2264938

Pratama M; Anavatt SG; Angelov P; Lughofer ED, 2013, 'PANFIS:A Novel Incremental Learning Machine', IEEE Transactions on Neural Networks and Learning Systems, 25, pp. 55 - 68, http://dx.doi.org/10.1109/TNNLS.2013.2271933

Li C; Anavatti SG; Ray T, 2012, 'Implementing analytical hierarchy process using fuzzy inference technique in route guidance system', Proceedings of the 2012 International Conference on Artificial Intelligence, ICAI 2012, 2, pp. 1003 - 1008

Alam ; Ray T; Sreenatha AG, 2012, 'A new robust design optimization approach for unmanned underwater vehicle design', Proceedings of the Institution of Mechanical Engineers. Proceedings Part M, Journal of Engineering for the Maritime Environment, 226, pp. 235 - 249, http://dx.doi.org/10.1177/1475090211435450

Alam ; Ray T; Sreenatha AG, 2012, 'An Evolutionary Approach for the Design of Autonomous Underwater Vehicles', Lecture Notes in Computer Science, 7691, pp. 279 - 290, http://dx.doi.org/10.1007/978-3-642-35101-3_24

Hassan O; Sreenatha AG; Ray T, 2012, 'Improved Fuzzy Neural Modeling for Underwater Vehicles', World Academy of Science, Engineering and Technology, Nov. 2012, pp. 1208 - 1214, http://www.waset.org/journals/waset/v71.php

Samal MK; Sreenatha AG; Garratt MA, 2012, 'Neural Network based Model Predictive Controller for Simplified Heave Model of an Unmanned Helicopter', Lecture Notes in Computer Science, 7677, pp. 356 - 363, http://dx.doi.org/10.1007/978-3-642-35380-2_42


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