Prediction of electricity energy consumption including COVID-19 precautions using the hybrid MLR-FFANN optimized with the stochastic fractal search with fitness distance balance algorithm [0.03%]
基于随机分形搜索与适应度距离平衡算法优化的混合MLR-FFANN包含COVID-19预防的电力能源消耗预测模型
Adem Dalcali,Harun Özbay,Serhat Duman
Adem Dalcali
The increase in energy consumption is affected by the developments in technology as well as the global population growth. Increasing energy consumption makes it difficult to ensure electrical energy supply security. Meeting the energy deman...
Recommender-as-a-Service with Chatbot Guided Domain-science Knowledge Discovery in a Science Gateway [0.03%]
基于聊天机器人的领域科学知识发现的Science Gateway中的推荐即服务研究
Komal Vekaria,Prasad Calyam,Sai Swathi Sivarathri et al.
Komal Vekaria et al.
Scientists in disciplines such as neuroscience and bioinformatics are increasingly relying on science gateways for experimentation on voluminous data, as well as analysis and visualization in multiple perspectives. Though current science ga...
A deep and handcrafted features-based framework for diagnosis of COVID-19 from chest x-ray images [0.03%]
一种基于深度和手工制作特征的新冠肺炎胸部X光图像诊断框架
Ferhat Bozkurt
Ferhat Bozkurt
Automatic early diagnosis of COVID-19 with computer-aided tools is crucial for disease treatment and control. Radiology images of COVID-19 and other lung diseases like bacterial pneumonia, viral pneumonia have common features. Thus, this si...
Covid19-Mexican-Patients' Dataset (Covid19MPD) Classification and Prediction Using Feature Importance [0.03%]
Covid19墨西哥病人数据集（Covid19MPD）的分类和预测基于特征重要性
Khaled Mohamad Almustafa
Khaled Mohamad Almustafa
Coronavirus disease, Covid19, pandemic has a great effect on human heath worldwide since it was first detected in late 2019. A clear understanding of the structure of the available Covid19 datasets might give the healthcare provider a bette...
Accelerating simulations of cardiac electrical dynamics through a multi-GPU platform and an optimized data structure [0.03%]
通过多GPU平台和优化的数据结构加速心脏电动力学模拟
Eduardo C Vasconcellos,Esteban W G Clua,Flavio H Fenton et al.
Eduardo C Vasconcellos et al.
Simulations of cardiac electrophysiological models in tissue, particularly in 3D require the solutions of billions of differential equations even for just a couple of milliseconds, thus highly demanding in computational resources. In fact, ...
An integrated framework for COVID-19 classification based on classical and quantum transfer learning from a chest radiograph [0.03%]
基于经典和量子迁移学习的胸部X光图像COVID-19分类集成框架
Muhammad Junaid Umer,Javeria Amin,Muhammad Sharif et al.
Muhammad Junaid Umer et al.
COVID-19 is a quickly spreading over 10 million persons globally. The overall number of infected patients worldwide is estimated to be around 133,381,413 people. Infection rate is being increased on daily basis. It has also caused a devasta...
Multi-angle head pose classification with masks based on color texture analysis and stack generalization [0.03%]
基于颜色纹理分析和堆叠泛化的带口罩多角度头部姿态分类方法
Shuang Li,Xiaoli Dong,Yuan Shi et al.
Shuang Li et al.
Head pose classification is an important part of the preprocessing process of face recognition, which can independently solve application problems related to multi-angle. But, due to the impact of the COVID-19 coronavirus pandemic, more and...
Enis Afgan,Dannon Baker;Galaxy Team;Anton Nekrutenko,James Taylor
Enis Afgan
Modern scientific research has been revolutionized by the availability of powerful and flexible computational infrastructure. Virtualization has made it possible to acquire computational resources on demand. Establishing and enabling use of...
Application Health Monitoring for Extreme-scale Resiliency using Cooperative Fault Management [0.03%]
基于协同故障管理的极端规模下的应用健康监控以提高系统韧性
Pratul K Agarwal,Thomas Naughton,Byung H Park et al.
Pratul K Agarwal et al.
Resiliency is and will be a critical factor in determining scientific productivity on current and exascale supercomputers, and beyond. Applications oblivious to and incapable of handling transient soft and hard errors could waste supercompu...
Modeling, simulation, and case analysis of COVID-19 over network public opinion formation with individual internal factors and external information characteristics [0.03%]
基于个体内部因素和外部信息特征的新冠肺炎疫情期间网络舆论形成机制建模与仿真分析研究
Tinggui Chen,Lijuan Peng,Jianjun Yang et al.
Tinggui Chen et al.
With the development of information technology, the Internet has become an important channel of public opinion for expressing public interests, emotion, and ideas. Public emergency usually spreads via network. Due to the temporal and spatia...