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All Outputs (30)

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.

Multiclass Classification and Defect Detection of Steel tube using modified YOLO (2023)
Conference Proceeding
Saraee, M., & khan, S. (2023). Multiclass Classification and Defect Detection of Steel tube using modified YOLO.

Steel tubes are widely used in hazardous high pressure environments such as petroleum, chemicals, natural gas and shale gas. Defects in steel tubes have serious negative consequences. Using deep learning object recognition to identify and detect defe... Read More about Multiclass Classification and Defect Detection of Steel tube using modified YOLO.

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.

Impact of Digital Transformation toward Sustainable Development (2023)
Journal Article
Alojail, M., & Khan, S. B. (in press). Impact of Digital Transformation toward Sustainable Development. Sustainability, 15(20), 14697. https://doi.org/10.3390/su152014697

The rapid advancements in digital technologies have prompted organizations to embrace digital transformations (DTs) in order to enhance efficiency, gain a competitive advantage, and achieve long-term sustainability objectives. However, the successful... Read More about Impact of Digital Transformation toward Sustainable Development.

IoT-blockchain empowered Trinet: optimized fall detection system for elderly safety (2023)
Journal Article
Alfayez, F., & Bhatia Khan, S. (in press). IoT-blockchain empowered Trinet: optimized fall detection system for elderly safety. Frontiers in Bioengineering and Biotechnology, 11, 1257676. https://doi.org/10.3389/fbioe.2023.1257676

Numerous elderly folks reside alone in their homes. Seniors may find it difficult to ask for assistance if they fall. As the elderly population keeps growing, elderly fall incidents are becoming a critical public health concern. Creating a fall detec... Read More about IoT-blockchain empowered Trinet: optimized fall detection system for elderly safety.

Differences in Dental Implant Survival between Immediate vs. Delayed Placement: A Systematic Review and Meta-Analysis (2023)
Journal Article
Patel, R., Ucer, C., Wright, S., & Khan, R. S. (in press). Differences in Dental Implant Survival between Immediate vs. Delayed Placement: A Systematic Review and Meta-Analysis. Dentistry Journal, 11(9), 218. https://doi.org/10.3390/dj11090218

Objectives: To compare the impact of immediate and delayed implant placement upon the survival of implants and to investigate the differences in implant survival between immediate and delayed placement in adults. Methods: A search for the relevant li... Read More about Differences in Dental Implant Survival between Immediate vs. Delayed Placement: A Systematic Review and Meta-Analysis.

An optimal hybrid cascade regional convolutional network for cyberattack detection (2023)
Journal Article
Alqahtani, A., & Khan, S. B. (in press). An optimal hybrid cascade regional convolutional network for cyberattack detection. International Journal of Network Management, https://doi.org/10.1002/nem.2247

AbstractCyber‐physical systems (CPS) and the Internet of Things (IoT) technologies link urban systems through networks and improve the delivery of quality services to residents. To enhance municipality services, information and communication technolo... Read More about An optimal hybrid cascade regional convolutional network for cyberattack detection.

Spectral–Spatial Features Exploitation Using Lightweight HResNeXt Model for Hyperspectral Image Classification (2023)
Journal Article
Prasad Yadav, D., Kumar, D., Singh Jalal, A., Kumar, A., Bhatia Khan, S., Gadekallu, T. R., …Malibari, A. A. (2023). Spectral–Spatial Features Exploitation Using Lightweight HResNeXt Model for Hyperspectral Image Classification. Canadian Journal of Remote Sensing, 49(1), https://doi.org/10.1080/07038992.2023.2248270

Hyperspectral image classification is vital for various remote sensing applications; however, it remains challenging due to the complex and high-dimensional nature of hyperspectral data. This paper introduces a novel approach to address this challeng... Read More about Spectral–Spatial Features Exploitation Using Lightweight HResNeXt Model for Hyperspectral Image Classification.

Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm (2023)
Journal Article
Pruthviraja, D., Nagaraju, S. C., Mudligiriyappa, N., Raisinghani, M. S., Khan, S. B., Alkhaldi, N. A., & Malibari, A. A. (in press). Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm. Diagnostics, 13(16), 2687. https://doi.org/10.3390/diagnostics13162687

Deep learning is playing a major role in identifying complicated structure, and it outperforms in term of training and classification tasks in comparison to traditional algorithms. In this work, a local cloud-based solution is developed for classific... Read More about Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm.

An Approach to Binary Classification of Alzheimer’s Disease Using LSTM (2023)
Journal Article
Salehi, W., Baglat, P., Gupta, G., Khan, S. B., Almusharraf, A., Alqahtani, A., & Kumar, A. (in press). An Approach to Binary Classification of Alzheimer’s Disease Using LSTM. Bioengineering, 10(8), 950. https://doi.org/10.3390/bioengineering10080950

In this study, we use LSTM (Long-Short-Term-Memory) networks to evaluate Magnetic Resonance Imaging (MRI) data to overcome the shortcomings of conventional Alzheimer’s disease (AD) detection techniques. Our method offers greater reliability and accur... Read More about An Approach to Binary Classification of Alzheimer’s Disease Using LSTM.

A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks (2023)
Journal Article
Dass, R., Narayanan, M., Ananthakrishnan, G., Kathirvel Murugan, T., Nallakaruppan, M. K., Somayaji, S. R. K., …Almusharraf, A. (in press). A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks. Sensors, 23(14), 6274. https://doi.org/10.3390/s23146274

Recently, research into Wireless Body-Area Sensor Networks (WBASN) or Wireless Body-Area Networks (WBAN) has gained much importance in medical applications, and now plays a significant role in patient monitoring. Among the various operations, routing... Read More about A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks.