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Outputs (28)

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.

Deep Belief Networks (DBN) with IoT-Based Alzheimer’s Disease Detection and Classification (2023)
Journal Article
Alqahtani, N., Alam, S., Aqeel, I., Shuaib, M., Mohsen Khormi, I., Khan, S. B., & Malibari, A. A. (in press). Deep Belief Networks (DBN) with IoT-Based Alzheimer’s Disease Detection and Classification. Applied Sciences, 13(13), 7833. https://doi.org/10.3390/app13137833

Dementias that develop in older people test the limits of modern medicine. As far as dementia in older people goes, Alzheimer’s disease (AD) is by far the most prevalent form. For over fifty years, medical and exclusion criteria were used to diagnose... Read More about Deep Belief Networks (DBN) with IoT-Based Alzheimer’s Disease Detection and Classification.