Muhammad Anwar Ma'sum

Orcid: 0000-0002-9251-7781

According to our database1, Muhammad Anwar Ma'sum authored at least 35 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks.
CoRR, 2024

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks.
CoRR, 2024

2023
Assessor-guided learning for continual environments.
Inf. Sci., September, 2023

Few-Shot Continual Learning via Flat-to-Wide Approaches.
CoRR, 2023

2022
Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network.
ICT Express, 2022

Generative adversarial networks for unbalanced fetal heart rate signal classification.
ICT Express, 2022

Large-scale 3D Point Cloud Semantic Segmentation with 3D U-Net ASPP Sparse CNN.
Proceedings of the 7th International Workshop on Big Data and Information Security, 2022

2021
Development of Adaptive Fuzzy-Neuro Generalized Learning-Vector Quantization Using PI Membership Function (AFNGLVQ-PI).
IEEE Access, 2021

2020
Intelligent Clustering and Dynamic Incremental Learning to Generate Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification.
Symmetry, 2020

Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification.
Comput., 2020

Fast Ellipse Fitting Implementation on USG Mobile Telehealth Application.
Proceedings of the International Workshop on Big Data and Information Security, 2020

Segmentation and Approximation of Blood Volume in Intracranial Hemorrhage Patients Based on Computed Tomography Scan Images Using Deep Learning Method.
Proceedings of the International Workshop on Big Data and Information Security, 2020

2019
Improving Deep Learning Classifier for Fetus Hypoxia Detection in Cardiotocography Signal.
Proceedings of the 2019 International Workshop on Big Data and Information Security, 2019

Ensemble learning versus deep learning for Hypoxia detection in CTG signal.
Proceedings of the 2019 International Workshop on Big Data and Information Security, 2019

Temporal feature and heuristics-based Noise Detection over Classical Machine Learning for ECG Signal Quality Assessment.
Proceedings of the 2019 International Workshop on Big Data and Information Security, 2019

Multi-codebook Fuzzy Neural Network Using Incremental Learning for Multimodal Data Classification.
Proceedings of the 4th Asia-Pacific Conference on Intelligent Robot Systems, 2019

3D Edge Convolution in Deep Neural Network Implementation for Land Cover Semantic Segmentation of Airborne LiDAR Data.
Proceedings of the 4th Asia-Pacific Conference on Intelligent Robot Systems, 2019

Kinematics and Dynamics Analysis of an Autonomous Three-wheeled Bicycle Modeling.
Proceedings of the 4th Asia-Pacific Conference on Intelligent Robot Systems, 2019

2018
Multicodebook Neural Network Using Intelligent K-Means Clustering Based on Histogram Information for Multimodal Data Classification.
Proceedings of the 2018 International Workshop on Big Data and Information Security, 2018

Level 2 Features with Feedback Mechanism for Toddler Fingerprint Recognition.
Proceedings of the 2018 International Workshop on Big Data and Information Security, 2018

2017
Seasonal time series exploration using conditional probabilistic graphical approach.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2017

Telebiometric system for infant and toddler fingerprint recognition.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2017

Fruit mapping mobile robot on simulated agricultural area in Gazebo simulator using simultaneous localization and mapping (SLAM).
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2017

Comparative analysis of ant colony extended and mix-min ant system in software project scheduling problem.
Proceedings of the International Workshop on Big Data and Information Security, 2017

Enhance generalized learning vector quantization using unsupervised extreme learning machine and intelligent K-means clustering.
Proceedings of the International Workshop on Big Data and Information Security, 2017

Optimization of Stacked Unsupervised Extreme Learning Machine to improve classifier performance.
Proceedings of the International Workshop on Big Data and Information Security, 2017

2016
Adaptive range in FIMT-DD tree for large data streams.
Proceedings of the International Workshop on Big Data and Information Security, 2016

Processing big data with decision trees: A case study in large traffic data.
Proceedings of the International Workshop on Big Data and Information Security, 2016

Enhanced tele ECG system using Hadoop framework to deal with big data processing.
Proceedings of the International Workshop on Big Data and Information Security, 2016

Design of intelligent k-means based on spark for big data clustering.
Proceedings of the International Workshop on Big Data and Information Security, 2016

A review of big data analytics in the biomedical field.
Proceedings of the International Workshop on Big Data and Information Security, 2016

2015
Implementation of grid mapped robot planning algorithm in a continuous map for fire fighting robot.
Proceedings of the 2015 International Symposium on Micro-NanoMechatronics and Human Science, 2015

Automatic fetal head approximation using Particle Swarm Optimization based Gaussian Elliptical Path.
Proceedings of the 2015 International Symposium on Micro-NanoMechatronics and Human Science, 2015

2013
Autonomous quadcopter swarm robots for object localization and tracking.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2013

2011
Enhanced adaptive traffic signal control system using camera sensor and embedded system.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2011


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