Titlebook: Context-Aware Systems and Applications, and Nature of Computation and Communication; 9th EAI Internationa Phan Cong Vinh,Abdur Rakib Confer

抛物线

莎草

污秽

https://doi.org/10.1007/978-3-031-39175-0ecast tasks on Taiwanese stock market. The proposed method with deep learning algorithm shows better performance comparing to the classic machine learning in the tasks of forecasting the stock market in Taiwan.

排斥

Virtual Elements for Fracture Processes,ion they provide. This paper highlights the core problems regarding information asymmetry within a transaction. It also provides procedural and technological solutions to counterbalance this information asymmetry while simultaneously reducing information costs and increasing reliability of the information provided.

外貌

blithe

A Comparison Between Stacked Auto-Encoder and Deep Belief Network in River Run-Off Predictionical data of the Srepok River that were collected in 11 years. The experimental results in this case study show that SAE brings out better prediction accuracy than DBN in terms of three evaluation criteria: correlation, root mean square error, and mean absolute percentage error.

Hallowed

Alveolar-Bone

Nerve-Block

inscribe