Artificial Intelligence in Smart Agriculture: Modified Evolutionary Optimization Approach for Plant Disease Identification
(10)
(8)
Publication Date
Sun Dec 01 2019
Journal Name
Applied Soft Computing
(8)
(6)
Publication Date
Tue Oct 01 2019
Journal Name
2019 International Conference On Electrical Engineering And Computer Science (icecos)
(5)
(2)
Publication Date
Sun Mar 01 2020
Journal Name
Sustainable Chemistry And Pharmacy
(23)
(17)
Publication Date
Fri Oct 02 2015
Journal Name
American Journal Of Applied Sciences
Advances in Document Clustering with Evolutionary-Based Algorithms
Text Document Clustering
Hypertext Clustering
Evolutionary Algorithms
Genetic Algorithms
Text Dimensional
Reduction
Document clustering is the process of organizing a particular electronic corpus of documents into subgroups of similar text features. Formerly, a number of conventional algorithms had been applied to perform document clustering. There are current endeavors to enhance clustering performance by employing evolutionary algorithms. Thus, such endeavors became an emerging topic gaining more attention in recent years. The aim of this paper is to present an up-to-date and self-contained review fully devoted to document clustering via evolutionary algorithms. It firstly provides a comprehensive inspection to the document clustering model revealing its various components with its related concepts. Then it shows and analyzes the principle research wor
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(2)
(2)
Publication Date
Sun Jun 30 2013
Journal Name
Al-khwarizmi Engineering Journal
Estimated Outlet Temperatures in Shell-and-Tube Heat Exchanger Using Artificial Neural Network Approach Based on Practical Data
Artificial neural network
Shell-and-tube heat exchanger
Outlet temperatures
training
validation and testing
The objective of this study is to apply Artificial Neural Network for heat transfer analysis of shell-and-tube heat exchangers widely used in power plants and refineries. Practical data was obtained by using industrial heat exchanger operating in power generation department of Dura refinery. The commonly used Back Propagation (BP) algorithm was used to train and test networks by divided the data to three samples (training, validation and testing data) to give more approach data with actual case. Inputs of the neural network include inlet water temperature, inlet air temperature and mass flow rate of air. Two outputs (exit water temperature to cooling tower and exit air temperature to second stage of air compressor) were taken in ANN.
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Mon Jan 01 2024
Journal Name
Lecture Notes In Networks And Systems
Publication Date
Sat Dec 01 2018
Journal Name
Applied Soft Computing
(15)
(9)
Publication Date
Thu Dec 05 2019
Journal Name
Advances In Intelligent Systems And Computing
(10)
(4)
Publication Date
Sat Aug 25 2012
Journal Name
Wireless Personal Communications
(59)
(45)
Publication Date
Sun Mar 01 2020
Journal Name
Computer Networks
(8)
(5)