Glasius bio-inspired neural networks based UV-C disinfection path planning improved by preventive deadlock processing algorithm [0.03%]
基于预防死锁算法优化的Glasius仿生神经网络紫外线消毒路径规划研究
Daniel Vicente Rodrigo,J Enrique Sierra-García,Matilde Santos
Daniel Vicente Rodrigo
The COVID-19 pandemic made robot manufacturers explore the idea of combining mobile robotics with UV-C light to automate the disinfection processes. But performing this process in an optimum way introduces some challenges: on the one hand, ...
A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications [0.03%]
基于深度迁移学习的卷积神经网络模型在医学CT图像中检测COVID-19疫情
Nirmala Devi Kathamuthu,Shanthi Subramaniam,Quynh Hoang Le et al.
Nirmala Devi Kathamuthu et al.
The Coronavirus (COVID-19) has become a critical and extreme epidemic because of its international dissemination. COVID-19 is the world's most serious health, economic, and survival danger. This disease affects not only a single country but...
Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed [0.03%]
改进的海鸥优化算法分区和Xgboost预测用于COVID-19每日确诊模糊时间序列预测
Sidong Xian,Kaiyuan Chen,Yue Cheng
Sidong Xian
The establishment of fuzzy relations and the fuzzification of time series are the top priorities of the model for predicting fuzzy time series. A lot of literature studied these two aspects to ameliorate the capability of the forecasting mo...
COVID-19 infection prediction from CT scan images of lungs using Iterative Convolution Neural Network model [0.03%]
基于迭代卷积神经网络模型的新冠肺炎感染预测方法研究lungCT影像分析与应用国际研讨会论文集
Madhavi M,Supraja P
Madhavi M
World Health Organization has defined COVID-19 as a contagious, communicable and fast spreading disease engendered by the Corona virus, SARS-CoV-2, is a respirational microorganism. Computerized Tomography (CT) scan images of the chest help...
Mathematical conditions for and physical meaning of a maximum of the determinant of [Formula: see text] in the prebuckling regime [0.03%]
[Formula:见正文]在屈曲前 regime 的行列式最大值的数学条件和物理意义
H A Mang,X Jia
H A Mang
It is shown that the determinant of the tangent stiffness matrix has a maximum in the prebuckling regime if and only if the determinant of a specific linear combination of the first and the third derivative of this matrix with respect to a ...
Computational Development of Jacobian Matrices for Complex Spatial Manipulators [0.03%]
复杂空间操作机的雅可比矩阵的计算开发
Craig M Goehler,Wendy M Murray
Craig M Goehler
Current methods for developing manipulator Jacobian matrices are based on traditional kinematic descriptions such as Denavit and Hartenberg parameters. The resulting symbolic equations for these matrices become cumbersome and computationall...