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Acute kidney injury requiring dialysis after endovascular intervention for acute deep venous thrombosis: A case report and literature review
Published 2024“…<h3>Key Clinical Message</h3><p dir="ltr">Percutaneous precutaneous mechanical thrombectomy has been used for clot dissolution and removal in selected cases of iliofemoral deep vein thrombosis. Intravascular Hemolysis and hemoglobinuria caused by pharmachomechanical chather directed thrombolysis (PCDT) devices like the Angiojet is associated with an increased risk of acute kidney injury (AKI). …”
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Combining Saliency with Prediction for Endoscopic Diagnosis
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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The Impact of Arts Integration on the Learning and Social Abilities of Students with Disabilities: An Approach to an Inclusive Classroom
Published 2020“…It is flexible and can be altered or modified to fit an individual student’s needs. This study aims to determine how AI can contribute to the academic and social development of students with disabilities in the classroom. …”
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Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Dir...
Published 2022“…Much work has been done on NIDS but there are still improvements needed in reducing false alarms and increasing threat detection accuracy. …”
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Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection
Published 2022“…Consequently, there is an urgent need to develop detection methods capable of distinguishing between real and fake satellite images. …”
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Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review
Published 2021“…Artificial intelligence (AI) technologies and big data have been increasingly used to enhance the ability to predict and prepare for the patients at risk.…”
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Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners
Published 2018“…This increase is 82% less than the 11.3 increase seen in the baseline model. …”
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Ensemble Stacking Model for Sentiment Analysis of Emirati and Arabic Dialects
Published 2023“…Then, an ensemble stacking model was introduced to combine the best-performing deep learning models used in this study. The ensemble stacking deep learning model consisted of deep learning models with a meta learner layer of classifiers. …”
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Visual Sentiment Analysis from Disaster Images in Social Media
Published 2022“…<div><p>The increasing popularity of social networks and users’ tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content have opened new opportunities and challenges in sentiment analysis. …”
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Blood Glucose Regulation Modelling and Intelligent Control
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A genetically encoded BRET-based SARS-CoV-2 Mpro protease activity sensor
Published 2022“…Co-expression of the sensors with M<sup>pro</sup> in live cells resulted in their cleavage while mutation of the critical C145 residue (C145A) in M<sup>pro</sup> completely abrogated their cleavage. …”
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Challenges and practices identification in complex outsourcing relationships: A systematic literature review
Published 2022“…Furthermore, when compared to other types of outsourcing, complex outsourcing is extremely difficult because it necessitates a variety of control and coordination mechanisms for project management, which proportionally increases the risk of project failure. In order to overcome the failure of projects in complex outsourcing relationships, there is a need of robust systematic research to identify the key challenges and practices in this area. …”
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Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
Published 2021Get full text
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Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings
Published 2021“…Learners with special education needs and disabilities (SEND) require attention from a large set of a care team that includes parents, teachers, specialists, therapists, and doctors. …”
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