Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control

Article Engineering, Biomedical

Region-to-boundary deep learning model with multi-scale feature fusion for medical image segmentation

Xiaowei Liu et al.

Summary: In this study, a novel deep learning model is proposed for boundary segmentation of lesions or organs in medical images. Experimental results demonstrate that the model outperforms other methods, especially in boundary tracking.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)

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Article Computer Science, Artificial Intelligence

Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection

Shwet Ketu et al.

Summary: Predicting the lifespan of virus-based epidemics is crucial for taking timely preventive and remedial actions, but due to lack of understanding about novel virus diseases and their complex societal-governmental factors, it remains a challenging task. The Multi-Task Gaussian Process regression model is proposed to predict COVID-19 outbreaks, aiding countries in reducing the overall impact and highlighting the significance of IoT devices in COVID-19 detection and prevention.

APPLIED INTELLIGENCE (2021)

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Article Engineering, Electrical & Electronic

Sensor Cloud Frameworks: State-of-the-Art, Taxonomy, and Research Issues

Rana M. Abdul Haseeb-Ur-Rehman et al.

Summary: This article investigates the latest sensor cloud integration frameworks to address challenges in integrating WSN with the cloud. It presents a detailed thematic taxonomy, focusing on service-oriented and client-server architectures. Through qualitative analysis, it examines the relevant features and key aspects of existing frameworks.

IEEE SENSORS JOURNAL (2021)

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Article Engineering, Electrical & Electronic

Resource Efficient Geo-Textual Hierarchical Clustering Framework for Social IoT Applications

Junaid Shuja et al.

Summary: The SIoT paradigm combines social networking concepts with IoT solutions to utilize social relationships and actionable information. Efficient information processing frameworks are needed for the big data produced by SIoT, particularly for geo-tagged data that requires geo-textual processing for retrieval and analysis. Clustering algorithms play a key role in examining spatial, textual, and temporal information in big geo-textual data for various purposes like event detection and sentiment analysis.

IEEE SENSORS JOURNAL (2021)

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Article Computer Science, Information Systems

A Public Platform for Virtual IoT-Based Monitoring and Tracking of COVID-19

Younchan Jung et al.

Summary: The paper discusses a global public platform centered around a Software-Defined Networking Controller for monitoring and tracking information related to COVID-19, providing real-time information disclosure services to global Centers for Disease Control and Prevention (CDCs) and regular users. This platform aims to ensure confidentiality and authentication services, as well as system scalability and reduced Query/Reply latency.

ELECTRONICS (2021)

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Review Engineering, Electrical & Electronic

Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science

Vicnesh Jahmunah et al.

Summary: In 2020, the world faces unprecedented challenges due to COVID-19, leading to the exploration and development of digital tools to combat the disease. Urgent measures, such as contact tracing, are needed in the absence of vaccines. Wearable devices coupled with the Internet of Things are expected to have a direct impact on lifestyle and healthcare.

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY (2021)

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Article Chemistry, Analytical

Evaluating the Dynamics of Bluetooth Low Energy Based COVID-19 Risk Estimation for Educational Institutes

Abdulah Jeza Aljohani et al.

Summary: COVID-19 tracing applications utilize Bluetooth Low Energy technology to track infected and susceptible persons. The study uses epidemic and machine learning models to estimate COVID-19 risks. Educational activities have shifted to online teaching modes, while government policymakers lack technological insight into risk estimation.

SENSORS (2021)

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Article Construction & Building Technology

Emerging IoT Applications in Sustainable Smart Cities for COVID-19: Network Security and Data Preservation Challenges with Future Directions

Muhammad Adil et al.

Summary: This paper discusses the development of safe diagnosis, evaluation, and treatment procedures using emerging technologies to combat COVID-19, with a focus on the pivotal role of IoT in emerging healthcare applications. It outlines the challenges and future research directions in terms of network architecture security, trustworthiness, authentication, and data preservation to reduce the contagious rate of COVID-19 in sustainable smart cities.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Article Computer Science, Artificial Intelligence

IoT-based analysis for controlling & spreading prediction of COVID-19 in Saudi Arabia

Sunil Kumar Sharma et al.

Summary: The study uses mathematical modeling and machine learning algorithm to analyze and predict the COVID-19 outbreak in Saudi Arabia, achieving high accuracy and prediction ratios compared to other methods.

SOFT COMPUTING (2021)

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Article Computer Science, Information Systems

Adversarial Examples-Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices

Md Abdur Rahman et al.

Summary: Medical IoT devices are being integrated into pandemic management systems like COVID-19, with researchers using deep learning algorithms to identify COVID-19 phenomena. However, these DL algorithms have security vulnerabilities to adversarial perturbations, making DL models vulnerable to attacks without defensive mechanisms.

IEEE INTERNET OF THINGS JOURNAL (2021)

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Article Computer Science, Information Systems

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World

Farshad Firouzi et al.

Summary: As COVID-19 continues to spread globally, the collaborative efforts of researchers, institutions, governments, and society have focused on utilizing IoT, AI, robotics, and blockchain as the key technological innovations to combat the pandemic. While these digital technologies offer insights into the disease and support frontline efforts, they are not the sole solution to the crisis.

IEEE INTERNET OF THINGS JOURNAL (2021)

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Review Computer Science, Information Systems

Apply IOT technology to practice a pandemic prevention body temperature measurement system: A case study of response measures for COVID-19

Wei-Ling Lin et al.

Summary: The outbreak of COVID-19 has posed significant challenges to global public health, making body temperature monitoring crucial. To address this issue, the study proposed the Intelligent pandemic prevention Temperature Measurement System (ITMS) and Pandemic Prevention situation Analysis System (PPAS).

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS (2021)

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Article Computer Science, Theory & Methods

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

Jianguo Chen et al.

Summary: The COVID-19 pandemic caused by the SARS-CoV-2 virus has led to a global outbreak, with governments, enterprises, and research institutions utilizing artificial intelligence technologies in disease detection, drug development, and epidemic prediction. AI primarily focuses on medical image inspection, genomics, and transmission prediction, presenting researchers with opportunities to maximize its potential in fighting against COVID-19.

ACM COMPUTING SURVEYS (2021)

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Article Computer Science, Information Systems

ANN Assisted-IoT Enabled COVID-19 Patient Monitoring

Geetanjali Rathee et al.

Summary: COVID-19 is a highly infectious and dangerous disease that requires quick and accurate identification of infection. Researchers have proposed classification schemes based on machine learning and IoT, using artificial neural networks to support decision-making in healthcare information management.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems

An IoT-Based Healthcare Platform for Patients in ICU Beds During the COVID-19 Outbreak

Itamir de Morais Barroca Filho et al.

Summary: The escalating number of patients at hospitals is a global concern, mainly due to population aging, chronic diseases, and the recent COVID-19 outbreak. To address this challenge, IoT emerges as a scalable solution for continuous and reliable health monitoring. This paper aims to extend an IoT-based healthcare platform by integrating wearable and unobtrusive sensors to monitor patients with coronavirus disease, with a real deployment in an intensive care unit for COVID-19 patients in Brazil.

IEEE ACCESS (2021)

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Letter Medicine, General & Internal