A comparative study on daily evapotranspiration estimation by using various artificial intelligence techniques and traditional regression calculations [0.03%]
基于人工神经网络和传统回归方法的日蒸发蒸腾量估算及对比研究
Hasan Güzel,Fatih Üneş,Merve Erginer et al.
Hasan Güzel et al.
Evapotranspiration is an important parameter to be considered in hydrology. In the design of water structures, accurate estimation of the amount of evapotranspiration allows for safer designs. Thus, maximum efficiency can be obtained from t...
Efficient motion capture data recovery via relationship-aggregated graph network and temporal pattern reasoning [0.03%]
一种基于关系聚合图网络和时间模式推理的高效动作捕捉数据恢复方法
Chuanqin Zheng,Qingshuang Zhuang,Shu-Juan Peng
Chuanqin Zheng
Human motion capture (mocap) data is of crucial importance to the realistic character animation, and the missing optical marker problem caused by marker falling off or occlusions often limit its performance in real-world applications. Altho...
Computational modeling of fractional COVID-19 model by Haar wavelet collocation Methods with real data [0.03%]
基于真实数据的哈尔小波配置方法计算分数阶COVID-19模型
Rahat Zarin,Usa Wannasingha Humphries,Amir Khan et al.
Rahat Zarin et al.
This study explores the use of numerical simulations to model the spread of the Omicron variant of the SARS-CoV-2 virus using fractional-order COVID-19 models and Haar wavelet collocation methods. The fractional order COVID-19 model conside...
A hot topic diffusion approach based on the independent cascade model and trending search lists in online social networks [0.03%]
基于独立cascade模型和热搜列表的热点话题扩散方法研究
Yuqi Chen,Xianyong Li,Weikai Zhou et al.
Yuqi Chen et al.
In online social networks, users can quickly get hot topic information from trending search lists where publishers and participants may not have neighbor relationships. This paper aims to predict the diffusion trend of a hot topic in networ...
Fall detection based on dynamic key points incorporating preposed attention [0.03%]
基于动态关键点的跌倒检测融入预设注意力机制方法
Kun Zheng,Bin Li,Yu Li et al.
Kun Zheng et al.
Accidental falls pose a significant threat to the elderly population, and accurate fall detection from surveillance videos can significantly reduce the negative impact of falls. Although most fall detection algorithms based on video deep le...
Threshold dynamics of a stochastic general SIRS epidemic model with migration [0.03%]
具有迁移的随机SIRS流行病模型的阈值动力学
Zhongwei Cao,Jian Zhang,Huishuang Su et al.
Zhongwei Cao et al.
In this study, a stochastic SIRS epidemic model that features constant immigration and general incidence rate is investigated. Our findings show that the dynamical behaviors of the stochastic system can be predicted using the stochastic thr...
Predicting the prognosis of HER2-positive breast cancer patients by fusing pathological whole slide images and clinical features using multiple instance learning [0.03%]
基于多重实例学习融合病理全切片图象及临床特征预测HER2阳性乳腺癌患者预后
Yifan Wang,Lu Zhang,Yan Li et al.
Yifan Wang et al.
In 2022, breast cancer will become an important factor affecting women's public health and HER2 positivity for approximately 15-20$ /% $ invasive breast cancer cases. Follow-up data for HER2-positive patients are rare, and research on progn...
An approach to generate damage strategies for inter-domain routing systems based on multi-objective optimization [0.03%]
一种基于多目标优化的针对跨域路由系统的毁伤评估方法
Wendian Zhao,Yu Wang,Liang Liang et al.
Wendian Zhao et al.
Inter-domain routing systems are important complex networks on the Internet. It has been paralyzed several times in recent years. The researchers pay close attention to the damage strategy of inter-domain routing systems and think it is rel...
Yuanyuan Cai,Hao Liang,Qingchuan Zhang et al.
Yuanyuan Cai et al.
Contaminants are the critical targets of food safety supervision and risk assessment. In existing research, food safety knowledge graphs are used to improve the efficiency of supervision since they supply the relationship between contaminan...
Gesture recognition of continuous wavelet transform and deep convolution attention network [0.03%]
连续小波变换和深度卷积注意网络手势识别
Xiaoguang Liu,Mingjin Zhang,Jiawei Wang et al.
Xiaoguang Liu et al.
To solve the problem of missing data features using a deep convolutional neural network (DCNN), this paper proposes an improved gesture recognition method. The method first extracts the time-frequency spectrogram of surface electromyography...