20 hasil untuk "Joseph Azar"
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Artikel Jurnal Teks lengkap
Adaptive Federated Baseline K-Means for Lightweight IoT Intrusion Detection: Auto-Thresholding and Robust Statistics Aggregation
Federated, semi-supervised novelty detection is well suited for intrusion detection on resource-constrained Internet of Things (IoT) nodes: each device learns a model of benign traffic, shares only summary statistics, and does not transmit raw traffic samples. A previously published cross-layer…
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Deep Learning-Based Approach to Automated Monitoring of Defects and Soiling on Solar Panels
The reliable operation of photovoltaic (PV) systems is often compromised by surface soiling and structural damage, which reduce energy efficiency and complicate large-scale monitoring. To address this challenge, we propose a two-tiered image-classification framework that combines Vision Transformer…
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A Multi-Teacher Knowledge Distillation Framework with Aggregation Techniques for Lightweight Deep Models
Knowledge Distillation (KD) is a machine learning technique in which a compact student model learns to replicate the performance of a larger teacher model by mimicking its output predictions. Multi-Teacher Knowledge Distillation extends this paradigm by aggregating knowledge from multiple teacher…
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A Novel IoT Security Framework Combining X25519 with NIST Lightweight Ascon Encryption and Hybrid Transform-Domain Steganography
This paper aims to secure sensitive data generated by IoT devices by introducing a lightweight hybrid approach that combines steganography and cryptography. While classical cryptography offers confidentiality guarantees, the visibility of the produced ciphertexts keeps them at risk of traffic…
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Investigating the evolution of undergraduate medical students’ perception and performance in relation to an innovative curriculum-based research module: A convergent mixed methods study launching the 8A-Model
Background: Embedding into undergraduate medical programs experiential research curricula, based on holistic theories of education which emphasize participation in the social world, remains uncommon. The purpose of this study was to investigate the journey of undergraduate medical students in…
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Kawasaki disease in children from Dubai, United Arab Emirates (2012–2020): a single-centre retrospective clinical case series
Kawasaki disease (KD) is most common among East Asian children. There is a lack of data from Middle Eastern countries. We conducted a retrospective study of 27 paediatric patients with KD in Dubai, United Arab Emirates, 2012–2020. The majority of the patients were male, Asian, aged 1–5 years and…
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Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks
The Manufacturing Message Specification (MMS) protocol is frequently used to automate processes in IEC 61850-based substations and smart-grid systems. However, it may be susceptible to a variety of cyber-attacks. A frequently used protection strategy is to deploy intrusion detection systems to…
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Cross-Layer Federated Learning for Lightweight IoT Intrusion Detection Systems
With the proliferation of IoT devices, ensuring the security and privacy of these devices and their associated data has become a critical challenge. In this paper, we propose a federated sampling and lightweight intrusion-detection system for IoT networks that use K-meansfor sampling network…
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Prevalence of pre-eclampsia in women in the Middle East: a scoping review
Hypertensive disorders of pregnancy are the second most common cause of maternal deaths worldwide. Metabolic syndrome is recognized as one of the risk factors for pre-eclampsia. A recent study revealed a high prevalence of metabolic syndrome in the United Arab Emirates (UAE), particularly amongst…
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Tough on germs, gentle on hands: a cross-sectional study on hand skin health, skincare and hygiene habit changes among medical students in their clinical years in Dubai, the United Arab Emirates
IntroductionOccupational hand dermatitis (OHD) has become increasingly prevalent in recent years among healthcare worker populations worldwide. The condition can be so debilitating that it leads to sick leave or even career changes. This cross-sectional study aimed to investigate the impact of hand…
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Modeling Adipogenesis: Current and Future Perspective
Adipose tissue is contemplated as a dynamic organ that plays key roles in the human body. Adipogenesis is the process by which adipocytes develop from adipose-derived stem cells to form the adipose tissue. Adipose-derived stem cells’ differentiation serves well beyond the simple goal of producing…
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Exploring undergraduate medical students’ perception of an integrated longitudinal research curriculum within a competency-based framework
Background: Embedding research training in undergraduate medical education strengthens analytical skills, scientific reasoning, and evidence-based practice, yet such training is often short-term or elective, with limited evidence from the Middle East. At our medical university, a mandatory…
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Tumor Microenvironment in Prostate Cancer: Toward Identification of Novel Molecular Biomarkers for Diagnosis, Prognosis, and Therapy Development
Prostate cancer (PCa) is by far the most commonly diagnosed cancer in men worldwide. Despite sensitivity to androgen deprivation, patients with advanced disease eventually develop resistance to therapy and may die of metastatic castration-resistant prostate cancer (mCRPC). A key challenge in the…
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Use of convalescent plasma in pregnant women with early stage COVID-19 infection in a tertiary care hospital in Dubai, February to March 2021: a case series study
Abstract Background The use of COVID-19 convalescent plasma (CCP) for the treatment of SARS-CoV-2 infection in pregnancy is intriguing in view of its safety profile in pregnancy and historical precedence of the use of plasma for other viral illnesses. This study aimed to evaluate the use of CCP in…
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High-fidelity simulation versus case-based tutorial sessions for teaching pharmacology: Convergent mixed methods research investigating undergraduate medical students’ performance and perception
Introduction: Medical educators strive to improve their curricula to enhance the student learning experience. The use of high-fidelity simulation within basic and clinical medical science subjects has been one of these initiatives. However, there is paucity of evidence on using simulation for…
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Translational and oncologic significance of tertiary lymphoid structures in pancreatic adenocarcinoma
Pancreatic adenocarcinoma (PDAC) is an aggressive tumor with poor survival and limited treatment options. PDAC resistance to immunotherapeutic strategies is multifactorial, but partially owed to an immunosuppressive tumor immune microenvironment (TiME). However, the PDAC TiME is heterogeneous and…
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Pre-treatment inflamed tumor immune microenvironment is associated with FOLFIRINOX response in pancreatic cancer
IntroductionPancreatic adenocarcinoma (PDAC) is an aggressive tumor with limited response to both chemotherapy and immunotherapy. Pre-treatment tumor features within the tumor immune microenvironment (TiME) may influence treatment response. We hypothesized that the pre-treatment TiME composition…