Sheeraz Akram

Orcid: 0000-0003-2321-3845

According to our database1, Sheeraz Akram authored at least 16 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

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

Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model.
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
Performance Analysis of State-of-the-Art CNN Architectures for LUNA16.
Sensors, 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
Blind Detection of Copy-Move Forgery in Digital Audio Forensics.
IEEE Access, 2017

2016
Artificially intelligent recognition of Arabic speaker using voice print-based local features.
J. Exp. Theor. Artif. Intell., 2016

2015
Facial expression recognition using computationally intelligent techniques.
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


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