Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Vivek Shrivastava,Lipo Wang Conference proceedings 2022 The Edito

Obstacle

irreparable

https://doi.org/10.1007/978-1-4302-0788-7ner for online motion planning. So, to improve the efficiency, this paper proposes a method based on improved heterogeneous differential evolution (IHDE) algorithm. An experimental verification proved the worthy of the proposed algorithm.

Endoscope

六边形

foodstuff

General Order Statistics-Based Model, deep learning models has been achieved by implementing the convolutional neural network (CNN) algorithm on the EEG signal dataset in which the result appears as follows: accuracy 99.2%, specificity 99.3% and sensitivity 98.7%. For hybrid deep neural network CNN with long short-term memory (LSTM), the accuracy reached is 98.7%.

新手

George Fletcher,Keisuke Nakano,Yuya Sasakieme are used as the empirical results. This study is conducted in a period of 9 years—from the VN30-Index’s establishment in 2012 to the end of 2020. On average, the adoption of the Ichimoku Cloud features in the LSTM model makes our trading strategy go from an annual loss of 2.86% to a profit of 14.29%.

xanthelasma

Apraxia

Theoretical Validation of Data Warehouse Requirements Metrics Based on Agent Goal Decision Informatal decision information model) is done by applying Zuse’s framework. Results indicate that all traceability metrics are valid and correct. Thus, requirements traceability metrics can be used for assuring quality of DW requirements model.

丛林

Ensemble Model Discovery for Prognostication of Diabetes,m forest and Xgboost) on the PIMA Indian women dataset sourced from the UCI repository. The performance was compared based on several metrics including precision, recall, and accuracy. Alongside, several data pre-processing techniques have been put in front to magnify the accuracy of predictions.

Pastry