Outputs (28)

Advancing Disability Management in Information Systems: A Novel Approach through Bidirectional Federated Learning-Based Gradient Optimization (2023)
Journal Article
Khan, S. B., Alojail, M., & Al Moteri, M. (in press). Advancing Disability Management in Information Systems: A Novel Approach through Bidirectional Federated Learning-Based Gradient Optimization. Mathematics, 12(1), 119. https://doi.org/10.3390/math12010119

Disability management in information systems refers to the process of ensuring that digital technologies and applications are designed to be accessible and usable by individuals with disabilities. Traditional methods face several challenges such as p... Read More about Advancing Disability Management in Information Systems: A Novel Approach through Bidirectional Federated Learning-Based Gradient Optimization.

Early Detection of Lung Nodules Using a Revolutionized Deep Learning Model (2023)
Journal Article
Srivastava, D., Srivastava, S. K., Khan, S. B., Singh, H. R., Maakar, S. K., Agarwal, A. K., …Albalawi, E. (in press). Early Detection of Lung Nodules Using a Revolutionized Deep Learning Model. Diagnostics, 13(22), 3485. https://doi.org/10.3390/diagnostics13223485

According to the WHO (World Health Organization), lung cancer is the leading cause of cancer deaths globally. In the future, more than 2.2 million people will be diagnosed with lung cancer worldwide, making up 11.4% of every primary cause of cancer.... Read More about Early Detection of Lung Nodules Using a Revolutionized Deep Learning Model.

Preservation of Sensitive Data Using Multi-Level Blockchain-based Secured Framework for Edge Network Devices (2023)
Journal Article
Awasthi, C., Mishra, P. K., Pal, P. K., Khan, S. B., Agarwal, A. K., Gadekallu, T. R., & Malibari, A. A. (2023). Preservation of Sensitive Data Using Multi-Level Blockchain-based Secured Framework for Edge Network Devices. Journal of Grid Computing, 21(4), 69. https://doi.org/10.1007/s10723-023-09699-2

The proliferation of IoT devices has influenced end users in several aspects. Yottabytes (YB) of information are being produced in the IoT environs because of the ever-increasing utilization capacity of the Internet. Since sensitive information, as w... Read More about Preservation of Sensitive Data Using Multi-Level Blockchain-based Secured Framework for Edge Network Devices.

A Deep Learning Framework with an Intermediate Layer Using the Swarm Intelligence Optimizer for Diagnosing Oral Squamous Cell Carcinoma (2023)
Journal Article
Nagarajan, B., Chakravarthy, S., Venkatesan, V. K., Ramakrishna, M. T., Khan, S. B., Basheer, S., & Albalawi, E. (in press). A Deep Learning Framework with an Intermediate Layer Using the Swarm Intelligence Optimizer for Diagnosing Oral Squamous Cell Carcinoma. Diagnostics, 13(22), 3461. https://doi.org/10.3390/diagnostics13223461

One of the most prevalent cancers is oral squamous cell carcinoma, and preventing mortality from this disease primarily depends on early detection. Clinicians will greatly benefit from automated diagnostic techniques that analyze a patient’s histopat... Read More about A Deep Learning Framework with an Intermediate Layer Using the Swarm Intelligence Optimizer for Diagnosing Oral Squamous Cell Carcinoma.

Cancer Diagnosis through Contour Visualization of Gene Expression Leveraging Deep Learning Techniques (2023)
Journal Article
Venkatesan, V. K., Kuppusamy Murugesan, K. R., Chandrasekaran, K. A., Thyluru Ramakrishna, M., Khan, S. B., Almusharraf, A., & Albuali, A. (in press). Cancer Diagnosis through Contour Visualization of Gene Expression Leveraging Deep Learning Techniques. Diagnostics, 13(22), 3452. https://doi.org/10.3390/diagnostics13223452

Prompt diagnostics and appropriate cancer therapy necessitate the use of gene expression databases. The integration of analytical methods can enhance detection precision by capturing intricate patterns and subtle connections in the data. This study p... Read More about Cancer Diagnosis through Contour Visualization of Gene Expression Leveraging Deep Learning Techniques.

Cloud-Based Quad Deep Ensemble Framework for the Detection of COVID-19 Omicron and Delta Variants (2023)
Journal Article
Tiwari, R. S., Dandabani, L., Das, T. K., Khan, S. B., Basheer, S., & Alqahtani, M. S. (in press). Cloud-Based Quad Deep Ensemble Framework for the Detection of COVID-19 Omicron and Delta Variants. Diagnostics, 13(22), 3419. https://doi.org/10.3390/diagnostics13223419

The mortality rates of patients contracting the Omicron and Delta variants of COVID-19 are very high, and COVID-19 is the worst variant of COVID. Hence, our objective is to detect COVID-19 Omicron and Delta variants from lung CT-scan images. We desig... Read More about Cloud-Based Quad Deep Ensemble Framework for the Detection of COVID-19 Omicron and Delta Variants.

An Alzheimer’s disease classification model using transfer learning densenet with embedded healthcare decision support system (2023)
Journal Article
Saleh, A. W., Gupta, G., Khan, S. B., Alkhaldi, N. A., & Verma, A. (2023). An Alzheimer’s disease classification model using transfer learning densenet with embedded healthcare decision support system. #Journal not on list, 9, 100348. https://doi.org/10.1016/j.dajour.2023.100348

Training a Convolutional Neural Network (CNN) from scratch is time-consuming and expensive. In this study, we propose implementing the DenseNet architecture for classification of AD in three classes. Our approach leverages transfer learning architect... Read More about An Alzheimer’s disease classification model using transfer learning densenet with embedded healthcare decision support system.

Critical Success Factors and Challenges in Adopting Digital Transformation in the Saudi Ministry of Education (2023)
Journal Article
Alojail, M., Alshehri, J., & Khan, S. B. (in press). Critical Success Factors and Challenges in Adopting Digital Transformation in the Saudi Ministry of Education. Sustainability, 15(21), 15492. https://doi.org/10.3390/su152115492

Many countries are using digital transformation to increase their productivity and organizational performance. In Saudi Arabia, digital transformation is a crucial part of their Saudi Vision 2030 plan, but it is still in its early stages. To understa... Read More about Critical Success Factors and Challenges in Adopting Digital Transformation in the Saudi Ministry of Education.

Managing Uncertainties in Supply Chains for Enhanced E-Commerce Engagement: A Generation Z Perspective on Retail Shopping through Facebook (2023)
Journal Article
Al Moteri, M., Alojail, M., & Khan, S. B. (in press). Managing Uncertainties in Supply Chains for Enhanced E-Commerce Engagement: A Generation Z Perspective on Retail Shopping through Facebook. Sustainability, 15(21), 15351. https://doi.org/10.3390/su152115351

This research investigates the uncertainties in supply chains using symmetrical and asymmetrical modeling tools, focusing on the attitudes of millennials towards Facebook retail shopping. By exploring antecedents such as pleasure, credibility, and pe... Read More about Managing Uncertainties in Supply Chains for Enhanced E-Commerce Engagement: A Generation Z Perspective on Retail Shopping through Facebook.

Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images (2023)
Journal Article
Rao, P. K., Chatterjee, S., Janardhan, M., Nagaraju, K., Khan, S. B., Almusharraf, A., & Alharbe, A. I. (in press). Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images. Diagnostics, 13(20), 3244. https://doi.org/10.3390/diagnostics13203244

Kidney tumors represent a significant medical challenge, characterized by their often-asymptomatic nature and the need for early detection to facilitate timely and effective intervention. Although neural networks have shown great promise in disease p... Read More about Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images.