Search Results - "Mohammed, Mazin Abed"
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An extensive review of state-of-the-art transfer learning techniques used in medical imaging: Open issues and challenges
Published in Journal of intelligent systems (22-09-2022)“…Deep learning techniques, which use a massive technology known as convolutional neural networks, have shown excellent results in a variety of areas, including…”
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Cloud computing-based framework for heart disease classification using quantum machine learning approach
Published in Journal of intelligent systems (10-04-2024)“…Accurate early identification and treatment of cardiovascular diseases can prevent heart failure problems and reduce mortality rates. This study aims to use…”
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Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language
Published in Journal of intelligent systems (01-01-2021)“…Spam electronic mails (emails) refer to harmful and unwanted commercial emails sent to corporate bodies or individuals to cause harm. Even though such mails…”
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Dimensions of artificial intelligence techniques, blockchain, and cyber security in the Internet of medical things: Opportunities, challenges, and future directions
Published in Journal of intelligent systems (10-04-2023)“…The Internet of medical things (IoMT) is a modern technology that is increasingly being used to provide good healthcare services. As IoMT devices are…”
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Deciphering the Complexities of COVID‐19‐Related Cardiac Complications: Enhancing Classification Accuracy With an Advanced Deep Learning Framework
Published in International journal of imaging systems and technology (01-09-2024)“…ABSTRACT The literature has widely described the interaction between cardiac complications and COVID‐19. However, the diagnosis of cardiac complications caused…”
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Smart Healthcare System for Severity Prediction and Critical Tasks Management of COVID-19 Patients in IoT-Fog Computing Environments
Published in Computational intelligence and neuroscience (19-07-2022)“…COVID-19 has depleted healthcare systems around the world. Extreme conditions must be defined as soon as possible so that services and treatment can be…”
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A review on voice pathology: Taxonomy, diagnosis, medical procedures and detection techniques, open challenges, limitations, and recommendations for future directions
Published in Journal of intelligent systems (11-07-2022)“…Speech is a primary means of human communication and one of the most basic features of human conduct. Voice is an important part of its subsystems. A speech…”
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Use of Deep Learning and Blockchain Technologies in Healthcare Industry
Published in Acta Informatica Pragensia (01-01-2023)“…This editorial summarises the special issue entitled “Deep Learning Blockchain-enabled Technology for Improved Healthcare Industrial Systems”, which deals with…”
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Intelligent Grapevine Disease Detection Using IoT Sensor Network
Published in Bioengineering (Basel) (29-08-2023)“…The Internet of Things (IoT) has gained significance in agriculture, using remote sensing and machine learning to help farmers make high-precision management…”
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Adaptive Deep Learning Detection Model for Multi-Foggy Images
Published in International journal of interactive multimedia and artificial intelligence (01-12-2022)“…The fog has different features and effects within every single environment. Detection whether there is fog in the image is considered a challenge and giving…”
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Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network
Published in PeerJ. Computer science (22-11-2021)“…The intelligent reflecting surface (IRS) is a ground-breaking technology that can boost the efficiency of wireless data transmission systems. Specifically, the…”
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Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations
Published in International journal of interactive multimedia and artificial intelligence (01-12-2021)“…Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad…”
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Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare
Published in IEEE journal of biomedical and health informatics (01-02-2023)“…These days, the usage of machine-learning-enabled dynamic Internet of Medical Things (IoMT) systems with multiple technologies for digital healthcare…”
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Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment
Published in IEEE internet of things journal (01-11-2021)“…The aim of this study is to propose a model based on machine learning (ML) and Internet of Things (IoT) to diagnose patients with COVID-19 in smart hospitals…”
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Incorporating a Novel Dual Transfer Learning Approach for Medical Images
Published in Sensors (Basel, Switzerland) (04-01-2023)“…Recently, transfer learning approaches appeared to reduce the need for many classified medical images. However, these approaches still contain some limitations…”
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Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System
Published in Sensors (Basel, Switzerland) (14-06-2021)“…The Internet of Medical Things (IoMT) is increasingly being used for healthcare purposes. IoMT enables many sensors to collect patient data from various…”
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Autism Spectrum Disorder detection framework for children based on federated learning integrated CNN-LSTM
Published in Computers in biology and medicine (01-11-2023)“…The incidence of Autism Spectrum Disorder (ASD) among children, attributed to genetics and environmental factors, has been increasing daily. ASD is a…”
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A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System
Published in Sensors (Basel, Switzerland) (16-07-2022)“…In healthcare, there are rapid emergency response systems that necessitate real-time actions where speed and efficiency are critical; this may suffer as a…”
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DRLBTS: deep reinforcement learning-aware blockchain-based healthcare system
Published in Scientific reports (13-03-2023)“…Industrial Internet of Things (IIoT) is the new paradigm to perform different healthcare applications with different services in daily life. Healthcare…”
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Fully Homomorphic Enabled Secure Task Offloading and Scheduling System for Transport Applications
Published in IEEE transactions on vehicular technology (01-11-2022)“…With an emerging development in transport technologies, many applications in vehicular environments access roadside unit (RSU) services for tasks offloading…”
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