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Sheeraz Akram
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2020 – today
- 2024
- [j16]Syed Mujtaba Hassan Rizvi, Asma Naseer, Shafiq Ur Rehman, Sheeraz Akram, Volker Gruhn:
Revolutionizing Agriculture: Machine and Deep Learning Solutions for Enhanced Crop Quality and Weed Control. IEEE Access 12: 11865-11878 (2024) - [j15]Hafiz Muhammad Tayyab Khushi, Tehreem Masood, M. Arfan Jaffar, Sheeraz Akram, Sohail Masood Bhatti:
Performance analysis of state-of-the-art CNN architectures for brain tumour detection. Int. J. Imaging Syst. Technol. 34(1) (2024) - [j14]H. M. Shahzad, Sohail Masood Bhatti, M. Arfan Jaffar, Sheeraz Akram:
Enhancing masked facial expression recognition with multimodal deep learning. Multim. Tools Appl. 83(30): 73911-73921 (2024) - 2023
- [j13]Iftikhar Naseer, Sheeraz Akram, Tehreem Masood, Muhammad Rashid, M. Arfan Jaffar:
Lung Cancer Classification Using Modified U-Net Based Lobe Segmentation and Nodule Detection. IEEE Access 11: 60279-60291 (2023) - [j12]H. M. Shahzad, Sohail Masood Bhatti, M. Arfan Jaffar, Muhammad Rashid, Sheeraz Akram:
Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model. IEEE Access 11: 94281-94289 (2023) - [j11]Gohar Mumtaz, Sheeraz Akram, Muhammad Waseem Iqbal, Muhammad Usman Ashraf, Khalid Ali Almarhabi, Ahmed Mohammed Alghamdi, Adel A. Bahaddad:
Classification and Prediction of Significant Cyber Incidents (SCI) Using Data Mining and Machine Learning (DM-ML). IEEE Access 11: 94486-94496 (2023) - [j10]Jawad Ahmad, Sheeraz Akram, M. Arfan Jaffar, Muhammad Rashid, Sohail Masood Bhatti:
Breast Cancer Detection Using Deep Learning: An Investigation Using the DDSM Dataset and a Customized AlexNet and Support Vector Machine. IEEE Access 11: 108386-108397 (2023) - [j9]Hafiz Muhammad Tayyab Khushi, Tehreem Masood, M. Arfan Jaffar, Muhammad Rashid, Sheeraz Akram:
Improved Multiclass Brain Tumor Detection via Customized Pretrained EfficientNetB7 Model. IEEE Access 11: 117210-117230 (2023) - [j8]Sohail Jabbar, Zain Ul Abideen, Shehzad Khalid, Awais Ahmad, Umar Raza, Sheeraz Akram:
Enhancing computational scalability in Blockchain by leveraging improvement in consensus algorithm. Frontiers Comput. Sci. 5 (2023) - 2022
- [j7]Iftikhar Naseer, Sheeraz Akram, Tehreem Masood, M. Arfan Jaffar, Muhammad Adnan Khan, Amir Mosavi:
Performance Analysis of State-of-the-Art CNN Architectures for LUNA16. Sensors 22(12): 4426 (2022) - 2020
- [j6]M. Arfan Jaffar, M. Sultan Zia, Majid Hussain, Abdul Basit Siddiqui, Sheeraz Akram, Uzma Jamil:
An ensemble shape gradient features descriptor based nodule detection paradigm: a novel model to augment complex diagnostic decisions assistance. Multim. Tools Appl. 79(13-14): 8649-8675 (2020)
2010 – 2019
- 2019
- [j5]Zineddine Kouahla, Adeel Anjum, Sheeraz Akram, Tanzila Saba, José Martinez:
XM-tree: data driven computational model by using metric extended nodes with non-overlapping in high-dimensional metric spaces. Comput. Math. Organ. Theory 25(2): 196-223 (2019) - 2017
- [j4]Muhammad Imran, Zulfiqar Ali, Sheikh Tahir Bakhsh, Sheeraz Akram:
Blind Detection of Copy-Move Forgery in Digital Audio Forensics. IEEE Access 5: 12843-12855 (2017) - 2016
- [j3]Awais Mahmood, Mansour Alsulaiman, Ghulam Muhammad, Sheeraz Akram:
Artificially intelligent recognition of Arabic speaker using voice print-based local features. J. Exp. Theor. Artif. Intell. 28(6): 1009-1020 (2016) - 2015
- [j2]Sheeraz Akram, Muhammad Younus Javed, Ayyaz Hussain, Farhan Riaz, M. Usman Akram:
Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques. J. Exp. Theor. Artif. Intell. 27(6): 737-751 (2015) - [j1]Sajid Ali Khan, Naveed Riaz Ansari, Sheeraz Akram, Shahzad Latif:
Facial expression recognition using computationally intelligent techniques. J. Intell. Fuzzy Syst. 28(6): 2881-2887 (2015) - [c1]Sheeraz Akram, Muhammad Younus Javed, Ayyaz Hussain:
Automated thresholding of lung CT scan for Artificial Neural Network based classification of nodules. ICIS 2015: 335-340
Coauthor Index
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last updated on 2024-09-21 23:40 CEST by the dblp team
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