Sheeraz Akram
Orcid: 0000-0003-2321-3845
According to our database1,
Sheeraz Akram
authored at least 17 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Multim. Tools Appl., September, 2024
Performance analysis of state-of-the-art CNN architectures for brain tumour detection.
Int. J. Imaging Syst. Technol., January, 2024
Revolutionizing Agriculture: Machine and Deep Learning Solutions for Enhanced Crop Quality and Weed Control.
IEEE Access, 2024
2023
Enhancing computational scalability in Blockchain by leveraging improvement in consensus algorithm.
Frontiers Comput. Sci., 2023
IEEE Access, 2023
Lung Cancer Classification Using Modified U-Net Based Lobe Segmentation and Nodule Detection.
IEEE Access, 2023
Classification and Prediction of Significant Cyber Incidents (SCI) Using Data Mining and Machine Learning (DM-ML).
IEEE Access, 2023
Improved Multiclass Brain Tumor Detection via Customized Pretrained EfficientNetB7 Model.
IEEE Access, 2023
Breast Cancer Detection Using Deep Learning: An Investigation Using the DDSM Dataset and a Customized AlexNet and Support Vector Machine.
IEEE Access, 2023
2022
2020
An ensemble shape gradient features descriptor based nodule detection paradigm: a novel model to augment complex diagnostic decisions assistance.
Multim. Tools Appl., 2020
2019
XM-tree: data driven computational model by using metric extended nodes with non-overlapping in high-dimensional metric spaces.
Comput. Math. Organ. Theory, 2019
2017
2016
Artificially intelligent recognition of Arabic speaker using voice print-based local features.
J. Exp. Theor. Artif. Intell., 2016
2015
J. Intell. Fuzzy Syst., 2015
Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques.
J. Exp. Theor. Artif. Intell., 2015
Automated thresholding of lung CT scan for Artificial Neural Network based classification of nodules.
Proceedings of the 14th IEEE/ACIS International Conference on Computer and Information Science, 2015