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ORCIDMd Meftahul Ferdaus
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2020 – today
- 2024
[j15]Gao Yu Lee
, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong:
Unlocking the capabilities of explainable few-shot learning in remote sensing. Artif. Intell. Rev. 57(7): 169 (2024)- [j14]Md Meftahul Ferdaus, Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, J. Senthilnath:
A compact meta-learned neuro-fuzzy technique for noise-robust nonlinear control. Appl. Soft Comput. 166: 112149 (2024) - [j13]Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Md Meftahul Ferdaus, Murat Tahtali, Savitha Ramasamy, Mahardhika Pratama:
GATE: A guided approach for time series ensemble forecasting. Expert Syst. Appl. 235: 121177 (2024) - [j12]Md Meftahul Ferdaus, Tanmoy Dam, Sameer Alam, Duc-Thinh Pham:
X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams. IEEE Trans. Artif. Intell. 5(8): 4001-4012 (2024) - [c19]Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti, Jiefei Wang, Phi Vu Tran, Md Meftahul Ferdaus:
Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties. ECC 2024: 3777-3782 - [c18]Gao Yu Lee, Tanmoy Dam, Daniel Puiu Poenar, Vu N. Duong, Md Meftahul Ferdaus:
HELA-VFA: A Hellinger Distance-Attention-based Feature Aggregation Network for Few-Shot Classification. WACV 2024: 2162-2172 - [i16]Gao Yu Lee, Jinkuan Chen, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong:
Dehazing Remote Sensing and UAV Imagery: A Review of Deep Learning, Prior-based, and Hybrid Approaches. CoRR abs/2405.07520 (2024) - [i15]Md Meftahul Ferdaus, Mahdi Abdelguerfi, Elias Ioup, Kendall N. Niles, Ken Pathak, Steven Sloan:
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models. CoRR abs/2407.13934 (2024) - [i14]Rasha Alshawi, Md Meftahul Ferdaus, Md. Tamjidul Hoque, Kendall N. Niles, Ken Pathak, Steven Sloan, Mahdi Abdelguerfi:
SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes. CoRR abs/2408.08879 (2024) - [i13]Rasha Alshawi, Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Pathak, Steven Sloan:
Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network. CoRR abs/2408.10181 (2024) - [i12]Gao Yu Lee, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong:
DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm. CoRR abs/2410.14595 (2024) - [i11]Md Meftahul Ferdaus, Mahdi Abdelguerfi, Elias Ioup, David Dobson, Kendall N. Niles, Ken Pathak, Steven Sloan:
KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements. CoRR abs/2410.17172 (2024) - 2023
- [j11]Harikumar Kandath, Md Meftahul Ferdaus, Zhen Wei Ng, Bangjian Zhou, Suresh Sundaram, Xiaoli Li, Senthilnath Jayavelu:
PASE: An autonomous sequential framework for the state estimation of dynamical systems. Expert Syst. Appl. 215: 119414 (2023) - [j10]Gao Yu Lee, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong:
WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [i10]Rasha Alshawi, Md. Tamjidul Hoque, Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Prathak, Joe Tom, Jordan Klein, Murtada Mousa, Johny Javier Lopez:
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation. CoRR abs/2312.14053 (2023) - 2022
- [j9]Md Meftahul Ferdaus, Bangjian Zhou, Ji Wei Yoon, Kain Lu Low, Jieming Pan, Joydeep Ghosh, Min Wu, Xiaoli Li, Aaron Voon-Yew Thean, J. Senthilnath:
Significance of activation functions in developing an online classifier for semiconductor defect detection. Knowl. Based Syst. 248: 108818 (2022) - [j8]Md Meftahul Ferdaus, Forhad Zaman, Ripon K. Chakrabortty:
Performance Improvement of a Parsimonious Learning Machine Using Metaheuristic Approaches. IEEE Trans. Cybern. 52(8): 7277-7290 (2022) - [j7]Md Meftahul Ferdaus, Ripon K. Chakrabortty, Michael J. Ryan:
Multiobjective Automated Type-2 Parsimonious Learning Machine to Forecast Time-Varying Stock Indices Online. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 2874-2887 (2022) - [c17]Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar:
Data Oversampling with Structure Preserving Variational Learning. CIKM 2022: 4490-4494 - [c16]Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick:
Improving Self-Supervised Learning for Out-Of-Distribution Task via Auxiliary Classifier. ICIP 2022: 3036-3040 - [c15]Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance Classification. ICIP 2022: 3712-3716 - [c14]Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass:
Scalable Adversarial Online Continual Learning. ECML/PKDD (3) 2022: 373-389 - [i9]Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance classification. CoRR abs/2209.01555 (2022) - [i8]Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass:
Scalable Adversarial Online Continual Learning. CoRR abs/2209.01558 (2022) - [i7]Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick:
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier. CoRR abs/2209.02881 (2022) - 2021
- [c13]Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? CIKM 2021: 2970-2973 - [c12]Deeksha Aggarwal, J. Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li:
SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification. ICDM (Workshops) 2021: 322-330 - [i6]Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? CoRR abs/2108.10697 (2021) - 2020
- [j6]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt:
Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review. Artif. Intell. Rev. 53(1): 257-290 (2020) - [j5]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer:
PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles. Inf. Sci. 512: 481-505 (2020) - [j4]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Yongping Pan:
Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles. IEEE Trans. Fuzzy Syst. 28(8): 1542-1556 (2020)
2010 – 2019
- 2019
- [b1]Md Meftahul Ferdaus:
Development of advanced autonomous learning algorithms for nonlinear system identification and control. University of New South Wales, Sydney, Australia, 2019 - [j3]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
Online identification of a rotary wing Unmanned Aerial Vehicle from data streams. Appl. Soft Comput. 76: 313-325 (2019) - [j2]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle. J. Artif. Intell. Soft Comput. Res. 9(2): 99-109 (2019) - [j1]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression. IEEE Trans. Fuzzy Syst. 27(11): 2115-2129 (2019) - [c11]Md Meftahul Ferdaus, Mohamad Abdul Hady, Mahardhika Pratama, Harikumar Kandath, Sreenatha G. Anavatti:
RedPAC: A Simple Evolving Neuro-Fuzzy-based Intelligent Control Framework for Quadcopter. FUZZ-IEEE 2019: 1-7 - [c10]Md Meftahul Ferdaus:
Recent Advancements in Autonomous Intelligent Control Techniques: Design and Implementation. ICDM Workshops 2019: 107-113 - [c9]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters. SSCI 2019: 513-518 - [c8]Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti, Md Meftahul Ferdaus:
Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data. SSCI 2019: 527-533 - 2018
- [c7]Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Md Meftahul Ferdaus, Qing Cai, Mukesh Prasad:
Big Data Analytics based on PANFIS MapReduce. INNS Conference on Big Data 2018: 140-152 - [c6]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew Garratt:
A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System. SMC 2018: 2784-2791 - [c5]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt:
A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR.Drone Quadcopter. SSCI 2018: 2026-2032 - [i5]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Yongping Pan:
Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-inspired Unmanned Aerial Vehicles. CoRR abs/1802.00635 (2018) - [i4]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Development of c-means Clustering Based Adaptive Fuzzy Controller for A Flapping Wing Micro Air Vehicle. CoRR abs/1802.01262 (2018) - [i3]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
A Generic Self-Evolving Neuro-Fuzzy Controller based High-performance Hexacopter Altitude Control System. CoRR abs/1805.02508 (2018) - [i2]Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt:
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression. CoRR abs/1805.04258 (2018) - [i1]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer:
PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles. CoRR abs/1811.03764 (2018) - 2017
- [c4]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Fuzzy clustering based nonlinear system identification and controller development of Pixhawk based quadcopter. ICACI 2017: 223-230 - [c3]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Fuzzy clustering based modelling and adaptive controlling of a flapping wing micro air vehicle. SSCI 2017: 1-6 - [c2]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle. SSCI 2017: 1-8 - 2015
- [c1]M. J. H. Khan, Muhammad Mahbubur Rashid, Md Meftahul Ferdaus:
Development of an simplified modeling control system for maximization of polymerization in a pilot plant. ASCC 2015: 1-4
Coauthor Index
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