Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
The Differentiated Creative search (DCS): Leveraging Differentiated knowledge-acquisition and Creative realism to address complex optimization problems
This article introduces differentiated creative search (DCS), a groundbreaking optimization
algorithm that revolutionizes traditional decision-making systems in complex environments …
algorithm that revolutionizes traditional decision-making systems in complex environments …
A novel lightweight CNN for chest X-ray-based lung disease identification on heterogeneous embedded system
The global spread of epidemic lung diseases, including COVID-19, underscores the need
for efficient diagnostic methods. Addressing this, we developed and tested a computer …
for efficient diagnostic methods. Addressing this, we developed and tested a computer …
Machine learning models for predicting hospitalization and mortality risks of COVID-19 patients
Abstract Even though the World Health Organization declared the end of the pandemic,
COVID-19 is still considered an endemic disease, affecting many people worldwide. As a …
COVID-19 is still considered an endemic disease, affecting many people worldwide. As a …
Detection of SARS-CoV-2 virus using lightweight convolutional neural networks
A Kumar, BK Chaurasia - Wireless Personal Communications, 2024 - Springer
A highly contagious illness caused by the SARS-CoV-2 virus pandemic is proven to wreak
havoc on people's health and well-being all over the globe. Severe Acute Respiratory …
havoc on people's health and well-being all over the globe. Severe Acute Respiratory …
[HTML][HTML] Detecting health misinformation: A comparative analysis of machine learning and graph convolutional networks in classification tasks
In the digital age, the proliferation of health-related information online has heightened the
risk of misinformation, posing substantial threats to public well-being. This research …
risk of misinformation, posing substantial threats to public well-being. This research …
COVID-19 IgG antibodies detection based on CNN-BiLSTM algorithm combined with fiber-optic dataset
The urgent need for efficient and accurate automated screening tools for COVID-19
detection has led to research efforts exploring various approaches. In this study, we present …
detection has led to research efforts exploring various approaches. In this study, we present …
COVID-19 studies involving machine learning methods: a bibliometric study
Background: Machine learning (ML) and artificial intelligence (AI) techniques are gaining
popularity as effective tools for coronavirus disease of 2019 (COVID-19) research. These …
popularity as effective tools for coronavirus disease of 2019 (COVID-19) research. These …
Using the textual content of radiological reports to detect emerging diseases: a proof-of-concept study of COVID-19
A Crombé, JC Lecomte, M Seux, N Banaste… - Journal of Imaging …, 2024 - Springer
Abstract Changes in the content of radiological reports at population level could detect
emerging diseases. Herein, we developed a method to quantify similarities in consecutive …
emerging diseases. Herein, we developed a method to quantify similarities in consecutive …
CGS‐Net: A classification‐guided framework for automated infection segmentation of COVID‐19 from CT images
W Zhou, J Wang, Y Wang, Z Liu… - International Journal of …, 2024 - Wiley Online Library
Automated segmentation of lung lesions in CT images of COVID‐19 based on deep learning
holds great potential for comprehending the advancement of the disease and establishing …
holds great potential for comprehending the advancement of the disease and establishing …
[PDF][PDF] Bridging Pandemics and Pixels: a Comprehensive Bibliometric Analysis of Deep Learning Applications in Covid-19 Detection
MZC Daud, FWA Zaiki, MZC Azemin - Journal of Information …, 2024 - irep.iium.edu.my
The world has been significantly impacted by the global pandemic of COVID-19, leading
researchers to explore various methods for detecting the virus. Deep learning (DL) …
researchers to explore various methods for detecting the virus. Deep learning (DL) …