Tallha Akram - Concepedia

Author

Tallha Akram

COMSATS University Islamabad ORCID

Also Known As

Akram, Tallha, Syed Saud Naqvi, T Akram, T. Akram, Tallha Akram

121

Publications

Citations

H-Index

190

Concepts

All Affiliations

COMSATS University Islamabad HITEC University Prince Sultan University National University of Sciences and Technology Prince Sattam Bin Abdulaziz University

About

Tallha Akram is an author at COMSATS University Islamabad specializing in engineering, pattern recognition, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	36	57	4.1K
2	Health Sciences	7	7	250
3	Business	1	1	31
4	Education	1	1	35
5	Management	1	1	89

Tallha Akram

Publications

4.9K

Citations

H-Index

Page 1

	Year	Citations
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, Diagnostics Manual DiagnosisMedical Image SegmentationEngineeringMachine LearningConvolutional Neural Network	2021	261
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework Muhammad Attique Khan, Tallha Akram, Yudong Zhang, Pattern Recognition Letters Skin Lesion DetectionDermoscopic ImageImage ClassificationConvolutional Neural NetworkMachine Vision	2021	241
CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, Computers and Electronics in Agriculture Image ClassificationConvolutional Neural NetworkImage AnalysisFeature DetectionMachine Vision	2018	230
Brain tumor detection and classification: A framework of marker‐based watershed algorithm and multilevel priority features selection Muhammad Attique Khan, Ikram Ullah Lali, Amjad Rehman, Microscopy Research and Technique	2019	183
Multi-Class Skin Lesion Detection and Classification via Teledermatology Muhammad Attique Khan, Khan Muhammad, Muhammad Sharif, IEEE Journal of Biomedical and Health Informatics EngineeringBiometricsDiagnosisDermatologyImage Classification	2021	161
Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification Muhammad Attique Khan, Yudong Zhang, Muhammad Sharif, Computers & Electrical Engineering Dermoscopic ImageImage AnalysisMachine LearningIntelligent Learning FrameworkEngineering	2021	160
Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, Applied Soft Computing Machine VisionMachine LearningData ScienceEngineeringPattern Recognition	2019	150
Developed Newton-Raphson based deep features selection framework for skin lesion recognition Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, Pattern Recognition Letters Dermoscopic ImageDeep FeaturesImage AnalysisMachine LearningDeep Learning	2019	148
A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals Muhammad Altaf, Tallha Akram, Muhammad Attique Khan, Sensors Fault DiagnosisCondition MonitoringVibrationsEngineeringPattern Recognition	2022	145
Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine Muhammad Attique Khan, Seifedine Kadry, Yudong Zhang, Computers & Electrical Engineering Selected Deep FeaturesEngineeringMachine LearningExtreme Learning MachinePrediction Modelling	2020	129

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