Md Meftahul Ferdaus

According to our database, Md Meftahul Ferdaus authored at least 42 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams.

Md Meftahul Ferdaus, Tanmoy Dam, Sameer Alam, Duc-Thinh Pham

IEEE Trans. Artif. Intell., August, 2024

Unlocking the capabilities of explainable few-shot learning in remote sensing.

Gao Yu Lee, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong

Artif. Intell. Rev., July, 2024

GATE: A guided approach for time series ensemble forecasting.

Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Md Meftahul Ferdaus, Murat Tahtali, Savitha Ramasamy, Mahardhika Pratama

Expert Syst. Appl., January, 2024

KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements.

Md Meftahul Ferdaus, Mahdi Abdelguerfi, Elias Ioup, David Dobson, Kendall N. Niles, Ken Pathak, Steven Sloan

CoRR, 2024

DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm.

Gao Yu Lee, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong

CoRR, 2024

Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network.

Rasha Alshawi, Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Pathak, Steven Sloan

CoRR, 2024

SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes.

Rasha Alshawi, Md Meftahul Ferdaus, Md. Tamjidul Hoque, Kendall N. Niles, Ken Pathak, Steven Sloan, Mahdi Abdelguerfi

CoRR, 2024

Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models.

Md Meftahul Ferdaus, Mahdi Abdelguerfi, Elias Ioup, Kendall N. Niles, Ken Pathak, Steven Sloan

CoRR, 2024

Dehazing Remote Sensing and UAV Imagery: A Review of Deep Learning, Prior-based, and Hybrid Approaches.

Gao Yu Lee, Jinkuan Chen, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong

CoRR, 2024

A compact meta-learned neuro-fuzzy technique for noise-robust nonlinear control.

Md Meftahul Ferdaus, Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, J. Senthilnath

Appl. Soft Comput., 2024

HELA-VFA: A Hellinger Distance-Attention-based Feature Aggregation Network for Few-Shot Classification.

Gao Yu Lee, Tanmoy Dam, Daniel Puiu Poenar, Vu N. Duong, Md Meftahul Ferdaus

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties.

Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti, Jiefei Wang, Phi Vu Tran, Md Meftahul Ferdaus

Proceedings of the European Control Conference, 2024

2023

PASE: An autonomous sequential framework for the state estimation of dynamical systems.

Harikumar Kandath, Md Meftahul Ferdaus, Zhen Wei Ng, Bangjian Zhou, Suresh Sundaram, Xiaoli Li, Senthilnath Jayavelu

Expert Syst. Appl., April, 2023

WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images.

Gao Yu Lee, Tanmoy Dam, Md Meftahul Ferdaus, Daniel Puiu Poenar, Vu N. Duong

IEEE Geosci. Remote. Sens. Lett., 2023

Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation.

Rasha Alshawi, Md. Tamjidul Hoque, Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Prathak, Joe Tom, Jordan Klein, Murtada Mousa, Johny Javier Lopez

CoRR, 2023

2022

Multiobjective Automated Type-2 Parsimonious Learning Machine to Forecast Time-Varying Stock Indices Online.

Md Meftahul Ferdaus, Ripon K. Chakrabortty, Michael J. Ryan

IEEE Trans. Syst. Man Cybern. Syst., 2022

Performance Improvement of a Parsimonious Learning Machine Using Metaheuristic Approaches.

Md Meftahul Ferdaus, Forhad Zaman, Ripon K. Chakrabortty

IEEE Trans. Cybern., 2022

Significance of activation functions in developing an online classifier for semiconductor defect detection.

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

Knowl. Based Syst., 2022

Scalable Adversarial Online Continual Learning.

Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Latent Preserving Generative Adversarial Network for Imbalance Classification.

Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Improving Self-Supervised Learning for Out-Of-Distribution Task via Auxiliary Classifier.

Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Data Oversampling with Structure Preserving Variational Learning.

Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification.

Deeksha Aggarwal, J. Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li

Proceedings of the 2021 International Conference on Data Mining, 2021

Does Adversarial Oversampling Help us?

Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Yongping Pan

IEEE Trans. Fuzzy Syst., 2020

PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer

Inf. Sci., 2020

Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt

Artif. Intell. Rev., 2020

2019

Development of advanced autonomous learning algorithms for nonlinear system identification and control.

Md Meftahul Ferdaus

PhD thesis, 2019

PALM: An Incremental Construction of Hyperplanes for Data Stream Regression.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt

IEEE Trans. Fuzzy Syst., 2019

Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

J. Artif. Intell. Soft Comput. Res., 2019

Online identification of a rotary wing Unmanned Aerial Vehicle from data streams.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt

Appl. Soft Comput., 2019

Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data.

Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti, Md Meftahul Ferdaus

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Recent Advancements in Autonomous Intelligent Control Techniques: Design and Implementation.

Md Meftahul Ferdaus

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

RedPAC: A Simple Evolving Neuro-Fuzzy-based Intelligent Control Framework for Quadcopter.

Md Meftahul Ferdaus, Mohamad Abdul Hady, Mahardhika Pratama, Harikumar Kandath, Sreenatha G. Anavatti

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR.Drone Quadcopter.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew Garratt

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Big Data Analytics based on PANFIS MapReduce.

Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Md Meftahul Ferdaus, Qing Cai, Mukesh Prasad

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

2017

Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Fuzzy clustering based modelling and adaptive controlling of a flapping wing micro air vehicle.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Fuzzy clustering based nonlinear system identification and controller development of Pixhawk based quadcopter.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

2015

Development of an simplified modeling control system for maximization of polymerization in a pilot plant.

M. J. H. Khan, Muhammad Mahbubur Rashid, Md Meftahul Ferdaus

Proceedings of the 10th Asian Control Conference, 2015