Sohaib Asif

According to our database, Sohaib Asif authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

GLNET: global-local CNN's-based informed model for detection of breast cancer categories from histopathological slides.

Saif Ur Rehman Khan, Ming Zhao, Sohaib Asif, Xuehan Chen, Yusen Zhu

J. Supercomput., April, 2024

Improving the accuracy of diagnosing and predicting coronary heart disease using ensemble method and feature selection techniques.

Sohaib Asif, Wenhui Yi, Qurrat Ul Ain, Yi Yueyang, Jinhai Si

Clust. Comput., April, 2024

Hybrid-NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis.

Saif Ur Rehman Khan, Ming Zhao, Sohaib Asif, Xuehan Chen

Int. J. Imaging Syst. Technol., January, 2024

MozzieNet: A deep learning approach to efficiently detect malaria parasites in blood smear images.

Sohaib Asif, Saif Ur Rehman Khan, Xiaolong Zheng, Ming Zhao

Int. J. Imaging Syst. Technol., January, 2024

LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19.

Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu

Multim. Tools Appl., 2024

ResMFuse-Net: Residual-based multilevel fused network with spatial-temporal features for hand hygiene monitoring.

Sohaib Asif, Xinyi Xu, Ming Zhao, Xuehan Chen, Fengxiao Tang, Yusen Zhu

Appl. Intell., 2024

2023

IR-CNN: Inception residual network for detecting kidney abnormalities from CT images.

Sohaib Asif, Qurrat Ul Ain, Muhammad Awais, Saif Ur Rehman Khan

Netw. Model. Anal. Health Informatics Bioinform., December, 2023

Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection.

Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu, Baokang Zhao

Neural Networks, October, 2023

An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning.

Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu

Multim. Tools Appl., 2023

Detection of COVID-19 from chest X-ray images: Boosting the performance with convolutional neural network and transfer learning.

Sohaib Asif, Wenhui Yi, Kamran Amjad, Hou Jin, Tao Yi, Jinhai Si

Expert Syst. J. Knowl. Eng., 2023

2022

Learning Based Massive Data Offloading in the IoV: Routing Based on Pre-RLGA.

Ming Zhao, Jiahua Li, Fengxiao Tang, Sohaib Asif, Yusen Zhu

IEEE Trans. Netw. Sci. Eng., 2022

A deep learning-based framework for detecting COVID-19 patients using chest X-rays.

Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu

Multim. Syst., 2022

Improving Effectiveness of Different Deep Transfer Learning-Based Models for Detecting Brain Tumors From MR Images.

Sohaib Asif, Wenhui Yi, Qurrat Ul Ain, Jin Hou, Tao Yi, Jinhai Si

IEEE Access, 2022

C-LSTM: CNN and LSTM Based Offloading Prediction Model in Mobile Edge Computing (MEC).

Ming Zhao, Yixiang Li, Sohaib Asif, Yusen Zhu, Fengxiao Tang

Proceedings of the 23rd IEEE International Conference on High Performance Switching and Routing, 2022

CVD19-Net: An Automated Deep Learning Model for COVID-19 Screening using Chest CT Images.

Sohaib Asif, Wenhui Yi, Jinhai Si, Zafran Waheed, Yi Yueyang, Hou Jin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Modeling a Fine-Tuned Deep Convolutional Neural Network for Diagnosis of Kidney Diseases from CT Images.

Sohaib Asif, Wenhui Yi, Jinhai Si, Qurrat Ul Ain, Yi Yueyang, Hou Jin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022