This research study contributes towards understanding the customerLs behaviour dynamics.
In business analysis, it is very important not to ignore the fact that the interaction between …

The extent of failure evaluation depends on the complexity and significance of electronic
products. However, traditional failure mode and effect analysis (FMEA) has many …

This paper investigates the stochastic optimization problem focusing on developing scalable
parallel algorithms for deep learning tasks. Our solution involves a reformation of the …

In the multimedia big data, the demand for personalized multimedia recommendation
algorithm is increasing to ease the multimedia information overload. The multimedia …

Villages are important units in the socio-economic structure of a country, and an in-depth
understanding of the factors that influence village growth and welfare is essential. To …

In order to predict the aircraft taxiing estimated time of arrival (ETA) to reduce scene conflicts
and improve the operating efficiency of airports, the Kalman filter algorithm is employed to …

为了预测航空器滑行预计到达时间(Estimated time of arrival, ETA), 减少场面冲突,
提高机场运行效率, 本文使用卡尔曼滤波算法对场面历史轨迹数据进行预处理 …

We investigate the stochastic gradient descent (SGD) with focus on developing scalable
parallel algorithms for SGD. By reformulating the objective function in neural network …