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A comprehensive review of extreme learning machine on medical imaging
The feedforward neural network based on randomization has been of great interest in the
scientific community, particularly extreme learning machines, due to its simplicity, training …
scientific community, particularly extreme learning machines, due to its simplicity, training …
A novel hybrid stock selection method with stock prediction
F Yang, Z Chen, J Li, L Tang - Applied Soft Computing, 2019 - Elsevier
The success of stock selection is contingent upon the future performance of stock markets.
We incorporate stock prediction into stock selection to specifically capture the future features …
We incorporate stock prediction into stock selection to specifically capture the future features …
A comprehensive decision support system for stock investment decisions
The stock market is of paramount importance to modern society. Decision support in this
sense must consider multiple criteria and be able to deal with the different stages involved …
sense must consider multiple criteria and be able to deal with the different stages involved …
Wireless sensor network: Applications, challenges, and algorithms
Wireless sensor network (WSN) is a collection of sensor nodes that distributed in an arbitrary
manner to solve a particular problem. The position of the node is predefined and based on …
manner to solve a particular problem. The position of the node is predefined and based on …
A modified grey wolf optimization-based dendritic neural model for stock index return prediction
R Wang - Applied Soft Computing, 2024 - Elsevier
The prediction of stock index returns has always been a hot topic, which is an important
basis for asset allocation and investment decisions of business managers and most …
basis for asset allocation and investment decisions of business managers and most …
An improved weighted extreme learning machine for imbalanced data classification
C Lu, H Ke, G Zhang, Y Mei, H Xu - Memetic Computing, 2019 - Springer
This paper proposes an improved weighted extreme learning machine (IW-ELM) for
imbalanced data classification. By incorporating voting method into weighted extreme …
imbalanced data classification. By incorporating voting method into weighted extreme …
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The rapid development of phenoty** technologies over the last years gave the opportunity
to study plant development over time. The treatment of the massive amount of data collected …
to study plant development over time. The treatment of the massive amount of data collected …
TLBO based cluster-head selection for multi-objective optimization in wireless sensor networks
M Malakar, Shweta - Nature inspired computing for wireless sensor …, 2020 - Springer
Day by day the applications of Wireless Sensor Networks (WSNs) increases rapidly due to
its flexibility and efficient functionalities in our life. In this network, multiple sensor nodes are …
its flexibility and efficient functionalities in our life. In this network, multiple sensor nodes are …
Intelligent routing in wireless sensor network based on african buffalo optimization
Applications of wireless sensor network (WSN) have experienced a rapid growth recently
due to the heterogeneous nature of network topology. At different levels, different entities …
due to the heterogeneous nature of network topology. At different levels, different entities …