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Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies

BMC medical imaging, 2024-05, Vol.24 (1), p.123-123, Article 123

Alrashdi, Ibrahim

2024

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Histamine, histamine receptors, and neuropathic pain relief

British journal of pharmacology, 2020-02, Vol.177 (3), p.580-599

2020

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Edge Detection-Based Feature Extraction for the Systems of Activity Recognition

Computational intelligence and neuroscience, 2022, Vol.2022, p.8222388-11

2022

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Neutrosophic Intelligence Approach Safeguarding Patient Data in Blockchain-based Smart Healthcare

Neutrosophic sets and systems, 2023-10, Vol.58, p.409-424

2023

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A Neutrosophic Approach to Edge-Based Anomaly Detection in Smart Farming Systems

Neutrosophic sets and systems, 2023-10, Vol.58, p.211-225

2023

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Sharpening and Detection of Road Studs for Intelligent Vehicles at Nighttime

Security and communication networks, 2022-02, Vol.2022, p.1-10

2022

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Analytic prediction for acceptable pricing in industry interaction with complex network evolution based on knowledge graph fusion

Alexandria engineering journal, 2024-06, Vol.97, p.160-168

2024

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Elucidating the Neuroprotective Role of PPARs in Parkinson’s Disease: A Neoteric and Prospective Target

International journal of molecular sciences, 2021-09, Vol.22 (18), p.10161

2021

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Energy efficient optimization using RTSO machine learning approach towards next generation optical network circuit for smart cities

Optical and quantum electronics, 2024, Vol.56 (1), Article 36

2024

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Maximum Entropy Markov Model for Human Activity Recognition Using Depth Camera

IEEE access, 2021, Vol.9, p.160635-160645

2021

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Towards Efficient and Trustworthy Pandemic Diagnosis in Smart Cities: A Blockchain-Based Federated Learning Approach

Mathematics (Basel), 2023-07, Vol.11 (14), p.3093

2023

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Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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An Intelligent Neutrosophic Type-II Model for Selecting Optimal Internet of Things (IoT) Service Provider: Analysis and Application

Neutrosophic sets and systems, 2024-04, Vol.66, p.204-217

Ibrahim Alrashdi

2024

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Votucalis, a Novel Centrally Sparing Histamine-Binding Protein, Attenuates Histaminergic Itch and Neuropathic Pain in Mice

Frontiers in pharmacology, 2022-03, Vol.13, p.846683

2022

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AD-IoT: Anomaly Detection of IoT Cyberattacks in Smart City Using Machine Learning

2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), 2019, p.0305-0310

2019

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Protecting Location Privacy for Crowd Workers in Spatial Crowdsourcing Using a Novel Dummy-Based Mechanism

IEEE access, 2020, Vol.8, p.114608-114622

2020

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DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks

Information sciences, 2024-02, Vol.658, p.120057, Article 120057

2024

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Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction

Information sciences, 2024-04, Vol.665, p.120338, Article 120338

2024

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A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning

Computers in human behavior, 2024-07, Vol.156, p.108213, Article 108213

2024

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Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism

Expert systems with applications, 2024-07, Vol.245, p.123082, Article 123082

2024

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New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities

Journal of healthcare engineering, 2022-02, Vol.2022, p.2950699-14

2022

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Blockchain and Fog Computing in IoT-Driven Healthcare Services for Smart Cities

Journal of healthcare engineering, 2022, Vol.2022, p.9957888-13

2022

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Fuzzy-assisted machine learning framework for the fog-computing system in remote healthcare monitoring

Measurement : journal of the International Measurement Confederation, 2022-05, Vol.195, p.111085, Article 111085

2022

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Key Technologies, Applications, Trends of Visual Analysis and Prediction in Healthcare System

2023 IEEE Globecom Workshops (GC Wkshps), 2023, p.2118-2122

2023

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A contrastive learning approach for enhanced robustness for strengthening federated intelligence in internet of visual things

Internet of things (Amsterdam. Online), 2024-07, Vol.26, p.101206, Article 101206

2024

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Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies

Histamine, histamine receptors, and neuropathic pain relief

Edge Detection-Based Feature Extraction for the Systems of Activity Recognition

Neutrosophic Intelligence Approach Safeguarding Patient Data in Blockchain-based Smart Healthcare

A Neutrosophic Approach to Edge-Based Anomaly Detection in Smart Farming Systems

Sharpening and Detection of Road Studs for Intelligent Vehicles at Nighttime

Analytic prediction for acceptable pricing in industry interaction with complex network evolution based on knowledge graph fusion

Elucidating the Neuroprotective Role of PPARs in Parkinson’s Disease: A Neoteric and Prospective Target

Energy efficient optimization using RTSO machine learning approach towards next generation optical network circuit for smart cities

Maximum Entropy Markov Model for Human Activity Recognition Using Depth Camera

Towards Efficient and Trustworthy Pandemic Diagnosis in Smart Cities: A Blockchain-Based Federated Learning Approach

Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains

An Intelligent Neutrosophic Type-II Model for Selecting Optimal Internet of Things (IoT) Service Provider: Analysis and Application

Votucalis, a Novel Centrally Sparing Histamine-Binding Protein, Attenuates Histaminergic Itch and Neuropathic Pain in Mice

AD-IoT: Anomaly Detection of IoT Cyberattacks in Smart City Using Machine Learning

Protecting Location Privacy for Crowd Workers in Spatial Crowdsourcing Using a Novel Dummy-Based Mechanism

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks

Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction

A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning

Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism

New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities

Blockchain and Fog Computing in IoT-Driven Healthcare Services for Smart Cities

Fuzzy-assisted machine learning framework for the fog-computing system in remote healthcare monitoring

Key Technologies, Applications, Trends of Visual Analysis and Prediction in Healthcare System

A contrastive learning approach for enhanced robustness for strengthening federated intelligence in internet of visual things

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