Tallha Akram
Orcid: 0000-0003-4578-3849
According to our database1,
Tallha Akram
authored at least 52 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Energy-Efficient Discrete Cosine Transform Architecture Using Reversible Logic for IoT-Enabled Consumer Electronics.
IEEE Access, 2025
2024
Int. J. Imaging Syst. Technol., May, 2024
Intelligent fusion-assisted skin lesion localization and classification for smart healthcare.
Neural Comput. Appl., January, 2024
Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features.
J. Ambient Intell. Humaniz. Comput., January, 2024
Dermo-Optimizer: Skin Lesion Classification Using Information-Theoretic Deep Feature Fusion and Entropy-Controlled Binary Bat Optimization.
Int. J. Imaging Syst. Technol., 2024
Remote Sensing Insights: Leveraging Advanced Machine Learning Models and Optimization for Enhanced Accuracy in Precision Agriculture.
IEEE Access, 2024
IEEE Access, 2024
A Novel Deep Learning Framework With Meta-Heuristic Feature Selection for Enhanced Remote Sensing Image Classification.
IEEE Access, 2024
2023
BF<sup>2</sup>SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification.
Neural Comput. Appl., October, 2023
Internet Things, October, 2023
SkinNet-ENDO: Multiclass skin lesion recognition using deep neural network and Entropy-Normal distribution optimization algorithm with ELM.
Int. J. Imaging Syst. Technol., July, 2023
Priority-Based Efficient Deployment of UAVs with Resource Constraints in Mission-Critical Networks.
Proceedings of the IEEE International Conference on Communications, 2023
2022
A two-stream deep neural network-based intelligent system for complex skin cancer types classification.
Int. J. Intell. Syst., December, 2022
A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals.
Sensors, 2022
Entropy-controlled deep features selection framework for grape leaf diseases recognition.
Expert Syst. J. Knowl. Eng., 2022
A novel hybrid meta-heuristic contrast stretching technique for improved skin lesion segmentation.
Comput. Biol. Medicine, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
Expert Hypertension Detection System Featuring Pulse Plethysmograph Signals and Hybrid Feature Selection and Reduction Scheme.
Sensors, 2021
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework.
Pattern Recognit. Lett., 2021
Correction to a novel framework for rapid diagnosis of COVID-19 on computed tomography scans.
Pattern Anal. Appl., 2021
Pattern Anal. Appl., 2021
A Non-Blind Deconvolution Semi Pipelined Approach to Understand Text in Blurry Natural Images for Edge Intelligence.
Inf. Process. Manag., 2021
A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases.
EURASIP J. Image Video Process., 2021
Towards Prevention of Sportsmen Burnout: Formal Analysis of Sub-Optimal Tournament Scheduling.
CoRR, 2021
Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification.
Comput. Electr. Eng., 2021
Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine.
Comput. Electr. Eng., 2021
2020
IEEE Syst. J., 2020
Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features.
Sensors, 2020
Developed Newton-Raphson based deep features selection framework for skin lesion recognition.
Pattern Recognit. Lett., 2020
Human action recognition: a framework of statistical weighted segmentation and rank correlation-based selection.
Pattern Anal. Appl., 2020
An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection.
Neural Comput. Appl., 2020
Fruits diseases classification: exploiting a hierarchical framework for deep features fusion and selection.
Multim. Tools Appl., 2020
An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection.
Multim. Tools Appl., 2020
IET Image Process., 2020
Hum. centric Comput. Inf. Sci., 2020
Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition.
Appl. Soft Comput., 2020
Correction to "An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection".
IEEE Access, 2020
2019
An Optimization Framework for Codes Classification and Performance Evaluation of RISC Microprocessors.
Symmetry, 2019
Sensors, 2019
An implementation of optimized framework for action classification using multilayers neural network on selected fused features.
Pattern Anal. Appl., 2019
Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection.
Multim. Tools Appl., 2019
J. Medical Syst., 2019
Comput. Electr. Eng., 2019
IEEE Access, 2019
An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection.
IEEE Access, 2019
2018
Artificial neural networks based dynamic priority arbitration for asynchronous flow control.
Neural Comput. Appl., 2018
Inf. Sci., 2018
License number plate recognition system using entropy-based features selection approach with SVM.
IET Image Process., 2018
Image de-noising with subband replacement and fusion process using bayes estimators, .
Comput. Electr. Eng., 2018
CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features.
Comput. Electron. Agric., 2018
2017
A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection.
EURASIP J. Image Video Process., 2017
Towards real-time crops surveillance for disease classification: exploiting parallelism in computer vision.
Comput. Electr. Eng., 2017