Asjad Amin - Concepedia

Author

Asjad Amin

King Fahd University of Petroleum and Minerals ORCID

Also Known As

Amin Asjad, Amin, Asjad, Asjad AMIN, Asjad Amin, Asjad Amin*

Publications

482

Citations

H-Index

Concepts

All Affiliations

King Fahd University of Petroleum and Minerals Georgia Institute of Technology Islamia University of Bahawalpur

About

Asjad Amin is an author at King Fahd University of Petroleum and Minerals specializing in engineering, computer vision, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	12	412
2	Data Science	6	6	125
3	Civil Engineering	5	5	141
4	Computer Science	4	4	117
5	Natural Sciences	1	1	26

Asjad Amin

Publications

412

Citations

H-Index

Page 1

	Year	Citations
A new approach for salt dome detection using a 3D multidirectional edge detector Asjad Amin, Deriche Mohamed Applied Geophysics Image AnalysisEngineeringSalt Dome DetectionNew ApproachMultidirectional Edge Detector	2015	72
A critical survey of state-of-the-art image inpainting quality assessment metrics Muhammad Ali Qureshi, Mohamed Deriche, Azeddine Beghdadi, Journal of Visual Communication and Image Representation EngineeringImage AnalysisVideo QualityInpaintingQuality Assessment Metrics	2017	64
Detection of Salt-dome Boundary Surfaces in Migrated Seismic Volumes Using Gradient of Textures Muhammad Amir Shafiq, Zhen Wang, Asjad Amin, Applied GeophysicsEngineeringSeismic WaveGeological ModelingEarth Science	2015	54
A texture-based interpretation workflow with application to delineating salt domes Muhammad Amir Shafiq, Zhen Wang, Ghassan AlRegib, Interpretation Geometric Modeling3D Computer VisionTexture-based Interpretation WorkflowSalt DomeMachine Vision	2017	46
A hybrid approach for salt dome detection in 2D and 3D seismic data Asjad Amin, Mohamed Deriche Applied GeophysicsEngineeringFeature DetectionBiometricsSalt Boundary	2015	32
Salt-Dome Detection Using a Codebook-Based Learning Model Asjad Amin, Mohamed Deriche IEEE Geoscience and Remote Sensing Letters EngineeringMachine LearningFeature DetectionSalt-dome DetectionDetection Technique	2016	32
A comparative study of texture attributes for characterizing subsurface structures in seismic volumes Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Interpretation Seismic VolumesEngineeringSeismic WaveShape AnalysisEarth Science	2018	26
Automatic fault tracking across seismic volumes via tracking vectors Zhen Wang, Zhiling Long, Ghassan AlRegib, Fault DiagnosisEngineeringComputational ComplexityFault Detection AlgorithmsReliability Engineering	2014	20
A smart wireless sensor network node for fire detection Wajahat Khalid, A. K. M. Zaidi Sattar, Muhammad Ali Qureshi, TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES Sensor NetworksSmart SensorNatural EnvironmentEnvironmental MonitoringEngineering	2019	19
A Novel Approach for Salt Dome Detection using A Dictionary-based Classifier Asjad Amin, Mohamed Deriche, Tamir Hegazy, EngineeringFeature DetectionMachine LearningNovel ApproachImage Classification	2015	18

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