Syed M. S. Islam

Orcid: 0000-0002-3200-2903

According to our database1, Syed M. S. Islam authored at least 53 papers between 2006 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Multimodal fusion for audio-image and video action recognition.
Neural Comput. Appl., April, 2024

MHAiR: A Dataset of Audio-Image Representations for Multimodal Human Actions.
Data, 2024

2023
Structure-Aware Image Translation-Based Long Future Prediction for Enhancement of Ground Robotic Vehicle Teleoperation.
Adv. Intell. Syst., October, 2023

PyMAiVAR: An open-source Python suite for audio-image representation in human action recognition.
Softw. Impacts, September, 2023

Improving accuracy and efficiency in seagrass detection using state-of-the-art AI techniques.
Ecol. Informatics, September, 2023

Long future frame prediction using optical flow-informed deep neural networks for enhancement of robotic teleoperation in high latency environments.
J. Field Robotics, March, 2023

Pre-text Representation Transfer for Deep Learning with Limited Imbalanced Data : Application to CT-based COVID-19 Detection.
CoRR, 2023

Deep Learning Approach for Automatic Segmentation of Dirt on Cattle Skin using Image Data.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

3D Brain Registration with Intensity Shift Robustness.
Proceedings of the IEEE International Conference on Image Processing, 2023

MAiVAR-T: Multimodal Audio-image and Video Action Recognizer using Transformers.
Proceedings of the 11th European Workshop on Visual Information Processing, 2023

2022
Teleoperation methods and enhancement techniques for mobile robots: A comprehensive survey.
Robotics Auton. Syst., 2022

High Latency Unmanned Ground Vehicle Teleoperation Enhancement by Presentation of Estimated Future through Video Transformation.
J. Intell. Robotic Syst., 2022

Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration.
CoRR, 2022

MAiVAR: Multimodal Audio-Image and Video Action Recognizer.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Pre-text Representation Transfer for Deep Learning with Limited and Imbalanced Data: Application to CT-Based COVID-19 Detection.
Proceedings of the Image and Vision Computing - 37th International Conference, 2022

2021
A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays.
Neural Comput. Appl., 2021

A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19).
Comput. Biol. Medicine, 2021

Deep Learning for 3D Ear Detection: A Complete Pipeline From Data Generation to Segmentation.
IEEE Access, 2021

Multi-species Seagrass Detection Using Semi-supervised Learning.
Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021

Boosting Deep Transfer Learning For Covid-19 Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

Seagrass Detection from Underwater Digital Images using Faster R-CNN with NASNet.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

3D Morphable Ear Model: A Complete Pipeline from Ear Segmentation to Statistical Modeling.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Rapid Segmentation of Thoracic Organs using U-net Architecture.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
A Vision-Based Machine Learning Method for Barrier Access Control Using Vehicle License Plate Authentication.
Sensors, 2020

SAM-SoS: A Stochastic Software Architecture Modeling and Verification Approach for Complex System-of-Systems.
IEEE Access, 2020

Learning Affordance Segmentation: An Investigative Study.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

Exploring Intensity Invariance in Deep Neural Networks for Brain Image Registration.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

EpNet: A Deep Neural Network for Ear Detection in 3D Point Clouds.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2020

2019
Imaging and Classification Techniques for Seagrass Mapping and Monitoring: A Comprehensive Survey.
CoRR, 2019

Epileptic seizure classification using statistical sampling and a novel feature selection algorithm.
CoRR, 2019

A Taxonomy of Modeling Approaches for Systems-of-Systems Dynamic Architectures: Overview and Prospects.
CoRR, 2019

Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review.
Big Data Cogn. Comput., 2019

Going Deep in Medical Image Analysis: Concepts, Methods, Challenges, and Future Directions.
IEEE Access, 2019

Modeling Approaches for System-of-Systems Dynamic Architecture: Overview, Taxonomy and Future Prospects.
Proceedings of the 14th Annual Conference System of Systems Engineering, 2019

Fast Point Cloud Registration using Semantic Segmentation.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Faster R-CNN Based Deep Learning for Seagrass Detection from Underwater Digital Images.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2018
Histogram Alternation Based Digital Image Compression using Base-2 Coding.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Dynamic Saliency Model Inspired by Middle Temporal Visual Area: A Spatio-Temporal Perspective.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017
Conjoint utilization of structured and unstructured information for planning interleaving deliberation in supply chains.
Proceedings of the International Conference on Web Intelligence, 2017

Deep Learning on Underwater Marine Object Detection: A Survey.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

2015
Numerical simulation of pharyngeal airflow applied to obstructive sleep apnea: effect of the nasal cavity in anatomically accurate airway models.
Medical Biol. Eng. Comput., 2015

2013
Multibiometric human recognition using 3D ear and face features.
Pattern Recognit., 2013

2012
A review of recent advances in 3D ear- and expression-invariant face biometrics.
ACM Comput. Surv., 2012

2011
Efficient Detection and Recognition of 3D Ears.
Int. J. Comput. Vis., 2011

2010
Experimental Evaluation of Feedback Modalities for Five Teleoperation Tasks.
IEEE Trans. Instrum. Meas., 2010

2009
Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition.
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

Refining Local 3D Feature Matching through Geometric Consistency for Robust Biometric Recognition.
Proceedings of the DICTA 2009, 2009

2008
Fast and Fully Automatic Ear Detection Using Cascaded AdaBoost.
Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

A Fast and Fully Automatic Ear Recognition Approach Based on 3D Local Surface Features.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2008

2007
Biometric Approaches of 2D-3D Ear and Face: A Survey.
Proceedings of the Advances in Computer and Information Sciences and Engineering, 2007

2006
Modeling and Formal Verification of DHCP Using SPIN.
Int. J. Comput. Sci. Appl., 2006


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