COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier [0.03%]
基于混合社会群体优化和支撑向量分类器的胸部X光图像新冠肺炎感染检测方法
Asu Kumar Singh,Anupam Kumar,Mufti Mahmud et al.
Asu Kumar Singh et al.
A novel strain of Coronavirus, identified as the Severe Acute Respiratory Syndrome-2 (SARS-CoV-2), outbroke in December 2019 causing the novel Corona Virus Disease (COVID-19). Since its emergence, the virus has spread rapidly and has been d...
One-shot Cluster-Based Approach for the Detection of COVID-19 from Chest X-ray Images [0.03%]
基于一次性聚类的COVID-19胸部X光图像检测方法
V N Manjunath Aradhya,Mufti Mahmud,D S Guru et al.
V N Manjunath Aradhya et al.
Coronavirus disease (COVID-19) has infected over more than 28.3 million people around the globe and killed 913K people worldwide as on 11 September 2020. With this pandemic, to combat the spreading of COVID-19, effective testing methodologi...
Deep Learning-Driven Automated Detection of COVID-19 from Radiography Images: a Comparative Analysis [0.03%]
基于射线影像的深度学习驱动的自动化新型冠状病毒肺炎检测：一种比较分析方法
Sejuti Rahman,Sujan Sarker,Md Abdullah Al Miraj et al.
Sejuti Rahman et al.
The COVID-19 pandemic has wreaked havoc on the whole world, taking over half a million lives and capsizing the world economy in unprecedented magnitudes. With the world scampering for a possible vaccine, early detection and containment are ...
An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations [0.03%]
基于代理的COVID-19模型：验证、分析与建议
Md Salman Shamil,Farhanaz Farheen,Nabil Ibtehaz et al.
Md Salman Shamil et al.
The coronavirus disease 2019 (COVID-19) has resulted in an ongoing pandemic worldwide. Countries have adopted non-pharmaceutical interventions (NPI) to slow down the spread. This study proposes an agent-based model that simulates the spread...
4P Model for Dynamic Prediction of COVID-19: a Statistical and Machine Learning Approach [0.03%]
用于动态预测COVID-19的4P模型：统计与机器学习方法
Khandaker Tabin Hasan,M Mostafizur Rahman,Md Mortuza Ahmmed et al.
Khandaker Tabin Hasan et al.
Around the world, scientists are racing hard to understand how the COVID-19 epidemic is spreading and growing, thus trying to find ways to prevent it before medications are available. Many different models have been proposed so far correlat...
Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays [0.03%]
基于胸部X光片的新型冠状病毒肺炎疫情筛查浅层卷积神经网络方法研究
Himadri Mukherjee,Subhankar Ghosh,Ankita Dhar et al.
Himadri Mukherjee et al.
Among radiological imaging data, Chest X-rays (CXRs) are of great use in observing COVID-19 manifestations. For mass screening, using CXRs, a computationally efficient AI-driven tool is the must to detect COVID-19-positive cases from non-CO...
DomainSenticNet: An Ontology and a Methodology Enabling Domain-Aware Sentic Computing [0.03%]
基于本体和方法学的领域情感计算模型与实现
Damiano Distante,Stefano Faralli,Steve Rittinghaus et al.
Damiano Distante et al.
In recent years, SenticNet and OntoSenticNet have represented important developments in the novel interdisciplinary field of research known as sentic computing, enabling the development of a variety of Sentic applications. In this paper, we...
Deep Learning-Based Potential Ligand Prediction Framework for COVID-19 with Drug-Target Interaction Model [0.03%]
基于深度学习的COVID-19潜在配体预测框架及药物靶点相互作用模型
Shatadru Majumdar,Soumik Kumar Nandi,Shuvam Ghosal et al.
Shatadru Majumdar et al.
To fight against the present pandemic scenario of COVID-19 outbreak, medication with drugs and vaccines is extremely essential other than ventilation support. In this paper, we present a list of ligands which are expected to have the highes...
TraMiner: Vision-Based Analysis of Locomotion Traces for Cognitive Assessment in Smart-Homes [0.03%]
基于视觉的轨迹分析：智能家庭中认知评估的一种新方法
Samaneh Zolfaghari,Elham Khodabandehloo,Daniele Riboni
Samaneh Zolfaghari
The rapid increase in the senior population is posing serious challenges to national healthcare systems. Hence, innovative tools are needed to early detect health issues, including cognitive decline. Several clinical studies show that it is...
Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications [0.03%]
用于网络智能应用的领域特定情感模型的自动扩展
Albert Weichselbraun,Jakob Steixner,Adrian M P Braşoveanu et al.
Albert Weichselbraun et al.
Sentic computing relies on well-defined affective models of different complexity-polarity to distinguish positive and negative sentiment, for example, or more nuanced models to capture expressions of human emotions. When used to measure com...