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Survey on Integration of Cloud Computing and Internet of Things Using Application Perspective
2017
International Journal of Emerging Research in Management and Technology
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The needs for Integration of Cloud based Internet of Things are to describe in the literature and the concept of integration of Cloud and IoT executed using any one of the real world scenario or applications ...
Further this work can also be extended to provide a secure data transfer between cloud and IoT environment. ...
Cloud-Assisted Data Fusion and Sensor Selection for Internet-of-Things Bijarbooneh et al., [5] this paper focus on cloud-based solution that takes into account the link quality and spatiotemporal correlation ...
doi:10.23956/ijermt/sv6n4/101
fatcat:2nlbf5fhcrgljfv5hptyleafgu
A Binary Multi-objective Chimp Optimizer with Dual Archive for Feature Selection in the Healthcare Domain
2021
IEEE Access
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Feature selection (FS) is a major step in classification and also in reducing the dimension. ...
This study attempts a novel Binary Multi-objective Chimp Optimization Algorithm (BMOChOA) with dual archive and k-nearest neighbors (KNN) classifier for mining relevant aspects from medical data. ...
In the Breast-CancerW data, CD based BMOChOA16 selected the best one, which gives 96.9% accuracy by taking less than 50% of the original features. ...
doi:10.1109/access.2021.3138403
fatcat:fw3k4d4bgrfbdkvfu3nwjnd4xu
A Village Reconstruction Model Using Particle Swarm Optimization Algorithm
2022
Mobile Information Systems
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named multi-objective particle swarm optimization (MOPSO). ...
The model transforms the village based on the required optimum resource allocation with the global solution. The experiment shows that the proposed model suits village renovation and modernization. ...
village transformation. e experimental results show that the MOPSO algorithm is a valid and effective solution for the village allocation optimization. e paper is the base for the MOPSO-based village ...
doi:10.1155/2022/5029620
fatcat:73l5xk3hrbhjvirs7tmqayoc5a
Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends
2022
Water
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Overall, selecting a particular GeoAI method depends on the application's objective, data availability, and user expertise. ...
This paper reviews the current GeoAI and machine learning applications in hydrological and hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial geomorphic and morphodynamic ...
Data fusion and DA use similar techniques, but the problem formulation differs [130] . ...
doi:10.3390/w14142211
fatcat:tjiod5qz45f67kbmkm3f6kuv7i
Process parameter optimization of metal additive manufacturing: a review and outlook
2022
Journal of Materials Informatics
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A brief review of process-induced defects due to process parameter selection is given and the current methods for identifying "optimal processing windows" are summarized. ...
The selection of appropriate process parameters is crucial in metal additive manufacturing (AM) as it directly influences the defect formation and microstructure of the printed part. ...
Acknowledgments The authors acknowledge members of the Yan Group for fruitful discussions towards the preparation of this work. ...
doi:10.20517/jmi.2022.18
fatcat:66wxox3wifhlriftfpqsiygyc4
Big Data Clustering Mining Based on Swarm Intelligence Algorithm in Cloud Environment
2022
Mobile Information Systems
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The aim of this paper is to study the aggregation digging of big data based around flocking automation algorithms under circumstances of cloud. ...
As science and technology progress and develop rapidly in this day and age, various industry applications have changed the data in a new way, and the explosive growth of data has made traditional data ...
Project name: Reform and practice of ideological and political teaching based on "web front end development" course. Project No: PHKCSZ202130. ...
doi:10.1155/2022/8960964
doaj:fa599632fd0e47eeb0f4865d328494b2
fatcat:vevopbqkfjbxtlkmbisowkugna
In Situ Underwater Localization of Magnetic Sensors Using Natural Computing Algorithms
2023
Sensors
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These studies are based on either computer simulations or downscaled laboratory experiments. ...
The magnetic fields created at the sensors' locations define an inverse problem in which the sensors' precise coordinates are the unknown variables. ...
Although the system is ready for underwater measurements, data fusion algorithms are still being developed. ...
doi:10.3390/s23041797
pmid:36850395
pmcid:PMC9966058
fatcat:utqmnvsclnhjzdilywnyppwcia
A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings
2021
Renewable & Sustainable Energy Reviews
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analysis tasks, feature engineering, or multi-agent systems, among others. ...
Buildings are one of the main consumers of energy in cities, which is why a lot of research has been generated around this problem. ...
feature engineering to extract, select and fuse the data. ...
doi:10.1016/j.rser.2021.111530
fatcat:wvby46onwvavhbcfd3f34x74g4
[ICNSC 2020 Front Matter]
2020
2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)
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The two kinds of ANN collaborate to solve the quadratic mean-variance problems in the way that the upper level ANN selects optimal neurons and the lower level ANN decided each optimal weights. ...
We explain such research directions Finally we will report recent resulted of deep learning understanding of video pictures based on Masking Vision Based Autonomous Navigation. Speaker Biography Dr. ...
The appropriate features are selected for PV output identification, and its identification accuracy is calculated. ...
doi:10.1109/icnsc48988.2020.9311391
fatcat:e7vdat475ncofjhzmdwwpuy23y
Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles
2015
2015 International Joint Conference on Neural Networks (IJCNN)
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tut16:
Tutorial
16:
Learning
Autonomously
from Big Data
Streams
tut17:
Tutorial
17:
Feature
Selection Tech-
nique for Gene
Expression Data
Analysis
tut18:
Tutorial
18: Spiking Neu-
ral ...
Wu
P157 Combining Overall and Local Class Accuracies in an Oracle-based Method for Dynamic Ensemble Selection
[#15085]
Leila M. ...
doi:10.1109/ijcnn.2015.7280446
dblp:conf/ijcnn/YangLNF15
fatcat:6xlakikcfzfyhhm2spooe2j7ra
Application of Grey Wolf Optimization Algorithm: Recent Trends, Issues, and Possible Horizons
2021
GAZI UNIVERSITY JOURNAL OF SCIENCE
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Such problems can be real-life, complicated and nonlinear optimization problems in different domain of human endeavour. ...
It is expected that this paper will serve as reading material for beginners whereas experienced researchers can also use it as an article yardstick for further development of GWO algorithms. ...
Al-Tashi et al [30] did a review on GWO for solving feature selection methods for classification problem. The paper discussed general framework of feature selection. ...
doi:10.35378/gujs.820885
fatcat:3eucl76a2vbrfmsxrde3dh3w74
A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network
2020
SN Computer Science
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The wireless telecommunication consumers rely on bulk data, and massive growth in the number of users has resulted in the spectrum congestion. ...
To avoid such spectrum congestion and to satisfy the data hunger of the wireless telecommunication users, the possible solution is Cognitive Radio Network (CRN). ...
ACO performs parallel search over numerous constructive computational models constructed from problem data and dynamic memory structure. ...
doi:10.1007/s42979-020-00372-z
fatcat:jk3gcvhp3batdgwyc47hv7y54e
A Survey of Using Swarm Intelligence Algorithms in IoT
2020
Sensors
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With the continuing advancements in technologies (such as machine to machine, wireless telecommunications, artificial intelligence, and big data analysis), the Internet of Things (IoT) aims to connect ...
everything for information sharing and intelligent decision-making. ...
work is supported by National Key R&D Program of China (2018YFB1700100), the Fundamental Scientific Research Project of Dalian University of Technology (DUT18JC28), and the Fundamental Research Funds for ...
doi:10.3390/s20051420
pmid:32150912
fatcat:oewjwkbhqfcbxbj2ttwicc3rlu
Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
[article]
2021
arXiv
pre-print
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This paper performs a comprehensive and an in-depth systematic review of AI-based techniques used for building control systems by assessing the outputs of these techniques, and their implementations in ...
Reducing the associated energy consumption while maintaining comfortable conditions in buildings are conflicting objectives and represent a typical optimization problem that requires intelligent system ...
For these reasons, current research efforts are mainly focusing on the problems and opportunities resulting from personal big data streaming in smart buildings. ...
arXiv:2104.02214v1
fatcat:gl4b47zbw5g3djvq2fccvaox2e
Towards Optimal Management in Microgrids: An Overview
2021
Energies
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The review shows the variety of mature and tested solutions for managing microgrids with different configurations and under several approaches. ...
With the creation and development of more and more MGs in the next few years and the need for them to interact so as to reach shared objectives, the optimization techniques to solve big problems for which ...
EMS Based on Dynamic Programming Dynamic programming methods are used to deal with highly difficult problems so as to reduce the execution time of an algorithm, which can be discretized and sequenced. ...
doi:10.3390/en14165202
fatcat:qo74vjedcbhljlk34z7nxf6sme
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