Journal ArticleDOI
Design and implementation of construction cost prediction model based on SVM and LSSVM in industries 4.0
Miao Fan,Ashutosh Sharma +1 more
TLDR
The construction cost prediction model based on SVM and LSSVM and the relative error of the prediction model is within 7%, and the prediction accuracy is high and the result is stable.Abstract:
In order to improve the accuracy of project cost prediction, considering the limitations of existing models, the construction cost prediction model based on SVM (Standard Support Vector Machine) and LSSVM (Least Squares Support Vector Machine) is put forward.,In the competitive growth and industries 4.0, the prediction in the cost plays a key role.,At the same time, the original data is dimensionality reduced. The processed data are imported into the SVM and LSSVM models for training and prediction respectively, and the prediction results are compared and analyzed and a more reasonable prediction model is selected.,The prediction result is further optimized by parameter optimization. The relative error of the prediction model is within 7%, and the prediction accuracy is high and the result is stable.read more
Citations
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Research on the Natural Language Recognition Method Based on Cluster Analysis Using Neural Network
Guang Li,Fangfang Liu,Ashutosh Sharma,Osamah Ibrahim Khalaf,Youseef Alotaibi,Abdulmajeed Alsufyani,Saleh Alghamdi +6 more
TL;DR: A new method of structural modeling is utilized to generate the structured derivation relationship, thus completing the natural language knowledge extraction process of the object-oriented knowledge system.
Journal ArticleDOI
An Exhaustive Research on the Application of Intrusion Detection Technology in Computer Network Security in Sensor Networks
Yajing Wang,Juan Ma,Ashutosh Sharma,Pradeep Kumar Singh,Gurjot Singh Gaba,Mehedi Masud,Mohammed Baz +6 more
TL;DR: In this paper, the authors proposed an outlier detection algorithm based on shared nearest neighbors (SCA-SNN) algorithm, which uses the number of nearest neighbors of a data point to detect outliers.
Journal ArticleDOI
Design and implementation of construction prediction and management platform based on building information modelling and three-dimensional simulation technology in Industry 4.0
Journal ArticleDOI
A secure framework for IoT-based smart climate agriculture system: Toward blockchain and edge computing
TL;DR: An intelligent climate and watering agriculture system is presented that is controlled with Android application for smart water consumption considering small and medium ruler agricultural fields and is an efficient and highly secure application which is capable of handling the process of watering the plants.
Journal ArticleDOI
Tourist hot spots prediction model based on optimized neural network algorithm
TL;DR: In this article, a particle swarm optimization neural network was used to track the change rules of popular tourist attractions, and the prediction accuracy of tourist attractions is better than that of the traditional model.
References
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Journal ArticleDOI
Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance system
M. Poongodi,Ashutosh Sharma,V. Vijayakumar,Vaibhav Bhardwaj,Abhinav Sharma,Razi Iqbal,Rajiv Kumar +6 more
TL;DR: In this study, price prediction is performed with two machine learning methods, namely linear regression (LR) and support vector machine (SVM) by using a time series consisting of daily ether cryptocurrency closing prices.
Journal ArticleDOI
Blockchain based smart contracts for internet of medical things in e-healthcare
TL;DR: The paper analyses the dimensions that decentralization and the use of smart contracts will take the IoMT in e-healthcare, proposes a novel architecture, and outlines the advantages, challenges, and future trends related to the integration of all three.
Journal ArticleDOI
Prediction Model of Shield Performance During Tunneling via Incorporating Improved Particle Swarm Optimization Into ANFIS
TL;DR: The proposed model integrates an improved particle swarm optimization with adaptive neurofuzzy inference system (ANFIS) based on the fuzzy C-mean (FCM) clustering method to predict the EPB shield performance during tunnelling.
Journal ArticleDOI
A novel construction cost prediction model using hybrid natural and light gradient boosting
TL;DR: It is demonstrated that a hybrid light gradient boosting and natural gradient boosting model provides the most desirable construction cost estimates in terms of the accuracy metrics, uncertainty estimates, and training speed.
Journal ArticleDOI
The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach
TL;DR: The advanced case-based reasoning (CBR) model was developed to integrate the advantages of prediction methodologies such as CBR, multiple regression analysis (MRA), and artificial neural networks (ANN), and the optimization process using a genetic algorithm.