A deep learning-based computer-aided diagnosis method of X-ray images for bone age assessment [0.03%]
基于深度学习的骨龄X光片计算机辅助诊断方法研究
Shaowei Li,Bowen Liu,Shulian Li et al.
Shaowei Li et al.
Bone age assessment using hand-wrist X-ray images is fundamental when diagnosing growth disorders of a child or providing a more patient-specific treatment. However, as clinical procedures are a subjective assessment, the accuracy depends h...
An intelligent approach for analyzing the impacts of the COVID-19 pandemic on marketing mix elements (7Ps) of the on-demand grocery delivery service [0.03%]
智能分析新冠疫情对按需食品配送服务的营销组合(7P)影响的方法
Burak Can Altay,Abdullah Okumuş,Burcu Adıgüzel Mercangöz
Burak Can Altay
Due to the impact of the COVID-19 pandemic, on-demand grocery delivery service that combines mobile technology and city logistics has gained tremendous popularity among grocery shoppers as a substitute to self-service grocery shopping in th...
Express delivery logistics with high-speed railway: a perspective of payment scheme and forecast information sharing [0.03%]
高速铁路下的快递物流：支付方案与预测信息共享视角
Huawei Duan,Yusen Ye,Zheng Lei et al.
Huawei Duan et al.
This paper investigates the payment scheme and forecast information sharing issues in the express delivery logistics with the high-speed railway. The HSR carriers need to coordinate the transportation capacity between passenger and freight....
A medical decision support system for predicting the severity level of COVID-19 [0.03%]
用于预测COVID-19严重程度的医疗决策支持系统
Mohsen Abbaspour Onari,Samuel Yousefi,Masome Rabieepour et al.
Mohsen Abbaspour Onari et al.
The main assay tool of COVID-19, as a pandemic, still has significant faults. To ameliorate the current situation, all facilities and tools in this realm should be implemented to encounter this epidemic. The current study has endeavored to ...
Forecasting emergency medicine reserve demand with a novel decomposition-ensemble methodology [0.03%]
基于新型分解集成方法的急诊医学储备需求预测研究
Li Jiang-Ning,Shi Xian-Liang,Huang An-Qiang et al.
Li Jiang-Ning et al.
Accurate prediction is a fundamental and leading work of the emergency medicine reserve management. Given that the emergency medicine reserve demand is affected by various factors during the public health events and thus the observed data a...
Yan Yan,Xinyue Di,Yuanyuan Zhang
Yan Yan
The distribution of relief materials is an important part of post-disaster emergency rescue. To meet the needs of the relief materials in the affected areas after a sudden disaster and ensure its smooth progress, an optimized dispatch model...
Sandip Moi,Suvankar Biswas,Smita Pal Sarkar
Sandip Moi
In this article, some properties of neutrosophic derivative and neutrosophic numbers have been presented. This properties have been used to develop the neutrosophic differential calculus. By considering different types of first- and second-...
A novel hand-crafted with deep learning features based fusion model for COVID-19 diagnosis and classification using chest X-ray images [0.03%]
用于使用胸部X射线图像进行COVID-19诊断和分类的基于深度学习特征的手工融合模型研究
K Shankar,Eswaran Perumal
K Shankar
COVID-19 pandemic is increasing in an exponential rate, with restricted accessibility of rapid test kits. So, the design and implementation of COVID-19 testing kits remain an open research problem. Several findings attained using radio-imag...
Some aggregation operators of neutrosophic Z-numbers and their multicriteria decision making method [0.03%]
中译文标题：中立软Z数的若干聚合理论及其多准则决策方法
Shigui Du,Jun Ye,Rui Yong et al.
Shigui Du et al.
As the generalization of the classical fuzzy number, the concept of Z-number introduced by Zadeh indicates more ability to depict the human knowledge and judgments of both restraint and reliability as an order pair of fuzzy numbers. In inde...
Cascaded deep learning classifiers for computer-aided diagnosis of COVID-19 and pneumonia diseases in X-ray scans [0.03%]
用于X射线扫描中COVID-19和肺炎疾病的计算机辅助诊断的级联深度学习分类器
Mohamed Esmail Karar,Ezz El-Din Hemdan,Marwa A Shouman
Mohamed Esmail Karar
Computer-aided diagnosis (CAD) systems are considered a powerful tool for physicians to support identification of the novel Coronavirus Disease 2019 (COVID-19) using medical imaging modalities. Therefore, this article proposes a new framewo...