Search Results - "Alshehri, Mohammed S."
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An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model
Published in Frontiers in plant science (11-10-2023)“…Introduction Recently, plant disease detection and diagnosis procedures have become a primary agricultural concern. Early detection of plant diseases enables…”
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An Intelligent Load Balancing Technique for Software Defined Networking Based 5G Using Machine Learning Models
Published in IEEE access (2023)“…The emergence of two new technologies, namely software defined networking (SDN) and 5G networks, has greatly changed the development of network functions and…”
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3
A Self-Attention-Based Deep Convolutional Neural Networks for IIoT Networks Intrusion Detection
Published in IEEE access (2024)“…The Industrial Internet of Things (IIoT) comprises a variety of systems, smart devices, and an extensive range of communication protocols. Hence, these systems…”
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SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT
Published in IEEE access (01-01-2024)“…The rise of Internet of Things (IoT) has led to increased security risks, particularly from botnet attacks that exploit IoT device vulnerabilities. This…”
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Public awareness about arthritic diseases in Saudi Arabia: a systematic review and meta-analysis
Published in International orthopaedics (01-12-2023)“…Purpose Raising public knowledge and perception would have a discernible impact on providing optimal care and reducing the burden of arthritis in the…”
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Smart Healthcare: A Dynamic Blockchain-based Trust Management Model Using Subarray Algorithm
Published in IEEE access (01-01-2024)“…A growing kind of communication, the Internet of Things (IoT), links all network-capable devices worldwide. The most recent phase of the Internet of Things…”
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Effective Gait Abnormality Detection in Parkinson’s Patients for Multi-Sensors Surveillance System
Published in IEEE access (2024)“…Parkinson’s disease affects bodily functions and there is a growing need for advanced solutions to offer therapeutic advice to patients. A framework using…”
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Optimizing Tumor Classification Through Transfer Learning and Particle Swarm Optimization-Driven Feature Extraction
Published in IEEE access (2024)“…Brain tumors pose a significant threat, especially when not detected early. The Inception v3 machine learning model has found extensive applications in…”
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A hybrid deep learning-based intrusion detection system for IoT networks
Published in Mathematical biosciences and engineering : MBE (01-01-2023)“…The Internet of Things (IoT) is a rapidly evolving technology with a wide range of potential applications, but the security of IoT networks remains a major…”
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Botulinum toxin type A for lower limb lengthening and deformity correction: A systematic review and meta-analysis
Published in Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association (01-07-2023)“…Botulinum toxin type A (BTX-A) is the most popular therapeutic agent for muscle relaxation and pain control. Lately, BTX-A injection received great interest as…”
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11
Energy efficiency considerations in software‐defined wireless body area networks
Published in Engineering reports (Hoboken, N.J.) (01-03-2024)“…Abstract Wireless body area networks (WBAN) provide remote services for patient monitoring which allows healthcare practitioners to diagnose, monitor, and…”
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Key dependent information confidentiality scheme based on deoxyribonucleic acid (DNA) and circular shifting
Published in Heliyon (15-01-2024)“…In this era of advanced information technology, the exploration and development of novel mechanisms to ensure information confidentiality have consistently…”
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Automatic neonatal sleep stage classification: A comparative study
Published in Heliyon (01-11-2023)“…Sleep is an essential feature of living beings. For neonates, it is vital for their mental and physical development. Sleep stage cycling is an important…”
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An Efficient Secure System for Fetching Data From the Outsourced Encrypted Databases
Published in IEEE access (2021)“…Recently, database users have begun to use cloud database services to outsource their databases. The reason for this is the high computation speed and the huge…”
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Multi-step attack detection in industrial networks using a hybrid deep learning architecture
Published in Mathematical biosciences and engineering : MBE (16-06-2023)“…In recent years, the industrial network has seen a number of high-impact attacks. To counter these threats, several security systems have been implemented to…”
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A Novel Web Framework for Cervical Cancer Detection System: A Machine Learning Breakthrough
Published in IEEE access (2024)“…Cervical cancer, the second most prevalent cancer among women worldwide, is primarily attributed to the human papillomavirus (HPV). Despite advances in…”
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Privacy-Enhanced Pneumonia Diagnosis: IoT-Enabled Federated Multi-Party Computation in Industry 5.0
Published in IEEE transactions on consumer electronics (01-02-2024)“…Pneumonia is a significant global health concern that can lead to severe and sometimes fatal consequences. Timely identification and classification of…”
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Retinopathy of Prematurity as Multidisciplinary Approach, a Pediatricians Standpoint, and Practice
Published in Journal of multidisciplinary healthcare (01-01-2022)“…This study aims to measure the knowledge levels toward retinopathy of prematurity (ROP) among pediatricians covering neonatal intensive care units (NICUs) in…”
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Early versus late weightbearing in conservative management of acute achilles tendon rupture: A systematic review and meta-analysis of randomized controlled trials
Published in Injury (01-04-2022)“…•Cast application and late weightbearing is the most common rehabilitation protocol following Achilles tendon rupture (ATR).•Recent trials support early…”
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Enhancing brain tumor classification with transfer learning: Leveraging DenseNet121 for accurate and efficient detection
Published in International journal of imaging systems and technology (01-01-2024)“…Brain tumors pose a serious neurological threat to human life, necessitating improved detection and classification methods. Deep transfer learning (TL), in…”
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