... as an input variable for subsequent land valuation models. Design/methodology/approach Imagery data containing land lot shapes are fed into a convolutional neural network, and the shape of land lots is classified into two categories, regular and irregular-shaped. Then, the intermediate output (regularity...

.... Design/methodology/approach The video and electroencephalogram data of 36 undergraduates were collected to represent observable and internal information. Since different modal data have different granularity, this study proposed the Fast–Slow Neural Network (FSNN) to detect engagement through both...

... Biomedical entity extraction Neural network Single-task learning Multitask learning Biomedical entity extraction Bio data mining This research is not funded by any financial institution. Biomedical named entity recognition (BioNER) is a critical task when it comes to obtaining biomedical...

... of sales and the experience of salesmen, which has a low prediction accuracy. There are a lot of algorithms and models are employed to predict sales such as logistic regression, decision tree, random forest, gradient ascending decision tree, neural network and so on. Each model has its advantages...

.... Razeef Mohd can be contacted at: m.razeef@gmail.com 10 08 2019 19 10 2019 06 12 2019 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Neural network GWO Grey Wolf Optimizer Levenberg–Marquardt algorithm NARX model Rainfall...