Titlebook: Applications in Reliability and Statistical Computing; Hoang Pham Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi

Concerto

needle

合適

Data Quality Assessment for ML Decision-Making,are constructed using machine learning strategies. Projects on text recognition, electrocardiogram-based identification and data analysis are described in relation to input data quality and system performance.

倒轉(zhuǎn)

惹人反感

Mental Health Studies: A Review,) Data Collection, Self-Reporting Surveys, and Reviews; (2) Data Collection with Machine Learning Applications; and (3) Modeling of Mental Health Using Survey Data and Machine Learning. Summary tables of risk factors studied, machine learning techniques, and social media sites studied or where data was gathered from are included.

表示問

https://doi.org/10.1007/3-7985-1539-5 research and business. In this research, we apply joining aspect detection and opinion target expression using multi-deep learning methods: RNN, LSTM and CNN and we do experiments on Vietnamese VLSP2018 dataset. Both of the results for the aspect detection as well as opinion target expression achieve the best results on the CNN model.

chuckle

Maximizer

https://doi.org/10.1007/3-7985-1539-5ization of the expected wait time of the first CN is considered in this research. Taboo search method is adopted for the optimization of the evaluation function to assign each reservation to each staff and to minimize the waiting time of the first CN.

Robust

Joining Aspect Detection and Opinion Target Expression Based on Multi-Deep Learning Models, research and business. In this research, we apply joining aspect detection and opinion target expression using multi-deep learning methods: RNN, LSTM and CNN and we do experiments on Vietnamese VLSP2018 dataset. Both of the results for the aspect detection as well as opinion target expression achieve the best results on the CNN model.

代替

Assessing the Severity of COVID-19 in the United States, with the case study’s approach can be easily updated to match new available data on the disease. The primary message of our work is to provide a unique perspective into investigating the current severity and spread of the pandemic in different states in the country and highlight states with a relatively high severity score.