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A Review of the Modification Strategies of the Nature Inspired Algorithms for Feature Selection Problem

Ruba Abu Abu Khurma, Ibrahim Aljarah, Ahmad Sharieh, Mohamed Abd Abd Elaziz, Robertas Damaševičius, Tomas Krilavičius
2022 Mathematics  
The most widely used hybridization is the one that integrates a classifier with the NIA.  ...  This survey is an effort to provide a research repository and a useful reference for researchers to guide them when planning to develop new Nature-inspired Algorithms tailored to solve Feature Selection  ...  In [99] , a new model called Hybrid Particle Swarm Optimization Local Search (HPSO-LS) was proposed based on using local search with correlation information.  ... 
doi:10.3390/math10030464 fatcat:sjg667gilzfktokxxjwdg52jbm

Optimising Energy Management in Hybrid Microgrids

Javier Bilbao, Eugenio Bravo, Olatz García, Carolina Rebollar, Concepción Varela
2022 Mathematics  
The Machine Learning method of Decision Trees, combined with ensemble methods, will also be introduced to study the optimization of microgrids.  ...  This article deals with the optimization of the operation of hybrid microgrids.  ...  Acknowledgments: We thank the support of the laboratory of the Applied Mathematics Department of the University of the Basque Country, UPV/EHU, for its technical support.  ... 
doi:10.3390/math10020214 fatcat:kgmhm3x5dvcrjlxvfoqlwavgpq

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
+ Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex  ...  , see Chen, D., TVT May 2020 5634-5646 Hong, C.S., see Le, T.H.T., TVT Dec. 2020 15162-15176 Hong, D., Lee, S., Cho, Y.H., Baek, D., Kim, J., and Chang, N Guo, H., Liu, J., and Zhang, Y., Toward Swarm  ...  ., +, TVT April 2020 3693-3702 Pseudo-3D Vision-Inertia Based Underwater Self-Localization for AUVs.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases [chapter]

Rajesh Singh, Anita Gehlot, Dharam Buddhi
2022 Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases  
A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper.  ...  Precise diagnosis of these diseases on time is very significant for maintaining a healthy life.  ...  This work implements k-mean segmentation for segmenting the pre-processed image. The region-based segmentation will segment the data dependent on the taken-out features using GLCM algorithm.  ... 
doi:10.13052/rp-9788770227667 fatcat:da47mjbbyzfwnbpde7rgbrlppe

Handling Class Imbalance Using Swarm Intelligence Techniques, Hybrid Data and Algorithmic Level Solutions

Haya Alhakbani
2019
It also introduces various solutions to the class imbalance problem, in which swarm intelligence techniques like Stochastic Diffusion Search (SDS) and Dispersive Flies Optimisation (DFO) are used.  ...  Experimental results show that SDS can be used to perform feature selection and improve the classifier performance on imbalanced datasets.  ...  The proposed algorithm balances between global exploration and local exploitation by introducing an Adaptive Inertia Weight Factor (AIWF).  ... 
doi:10.25602/gold.00026351 fatcat:x6n52cgl65edzgap27rkfr7lmu

Flow-based Anomaly Detection in High-Speed Networks

Zahra Jadidi, University, My, Vallipuram Muthukkumarasamy
2018
This thesis proposes an artificial neural network (ANN) based flow anomaly detector optimised with metaheuristic algorithms.  ...  The proposed method is evaluated using a number of flow-based datasets generated.  ...  In the next study [91] , base classifiers are C4.5 decision tree [92] , Naïve Bayes [93] , K-NN clustering [94] , VFI-voting feature intervals [95] , and OneR [96] classifiers.  ... 
doi:10.25904/1912/1145 fatcat:goqeqnkzibd45h2hyipjaducli

Machine-Learning-Aided Concrete Mixture Optimization [article]

Junfei Zhang
2020
and self-adaptive inertia weight to search for hyperparameters of RF.  ...  in Section 4.2.1, modification of the beetle antennae search algorithm using Levy flight and self-adaptive inertia weight for hyperparameter tuning in Section 4.2.2 and the procedure of hybrid intelligent  ... 
doi:10.26182/2e7g-pb58 fatcat:na6oe66p4berlnpj4bksgmcwga

CHARACTERIZATION OF A CUFF-BASED SHAPE MEMORY ALLOY (SMA) ACTUATOR

Gang Wang, Michael Poscente, Simon Park, Orly Yadid-Pecht, Martin Mintchev
2015 Number 1 International Journal "Information Theories and Applications   unpublished
This article proposes a novel cuff-based microactuator for automatic blood extraction using Shape Memory Alloy (SMA) technology.  ...  for diabetic patients and their disease management.  ...  Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press.  ... 
fatcat:6yhy352itzae7ec7q56evuzloy

Similarity based classification studies for prediction of ABCB1 (P-glycoprotein) substrates and non-substrates

Rita Schwaha
2013 unpublished
Also the establishment of a suitable reference set for a classification model for ABCB1 is discussed based on 240 highly diverse natural compounds.  ...  In-house derived similarity based descriptors (SIBAR) were previously developed with focus on poly-specific proteins like ABCB1.  ...  of redundant information the remaining 79 descriptors subjected to feature selection using a particle swarm algorithm.  ... 
doi:10.25365/thesis.29514 fatcat:cxqw6gxmu5entlg2audf75355e

The Third International Conference on Data Analytics

Fritz Laux, Panos Pardalos, Alain Crolotte, Fritz Laux, Lina Yao, Eiko Yoneki, Takuya Yoshihiro, Wakayama University, Japan, Sergio Ilarri, Prabhat Mahanti, Dominique Laurent (+98 others)
Forward The Third International Conference on Data Analytics (DATA ANALYTICS 2014   unpublished
the inaugural event on fundamentals in supporting data analytics, special mechanisms and features of applying principles of data analytics, application-oriented analytics, and target-area analytics.  ...  Despite considerable advancements on high performance, large storage, and high computation power, there are challenges in identifying, clustering, classifying, and interpreting of a large spectrum of information  ...  We provide a comparison with recently published algorithms on several data sets.  ... 
fatcat:ofbiffnczjaqzioc67koijiis4

Position Papers of the 2014 Federated Conference on Computer Science and Information Systems

Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Wil Van Der Aalst, Marco Aiello, Barrett Bryant, Ana Fred, Janusz Górski, Mike Hinchey (+13 others)
2014 Polskie Towarzystwo Informatyczne Annals of Computer Science and Information Systems   unpublished
Next, for decision tree generation, the well-known C4.5 algorithm [23] (implemented in WEKA) has been used.  ...  Solving the Inverse Problem Using the Particle Swarm Optimization D.1 overview PSO [7] is an evolutionary algorithm for the solution of optimization problems.  ...  New devices are invented as hybrids between existing devices. Products can be individually adapted for end customers.  ... 
fatcat:6su2ni4m5ze7zomr37ej5m6y3y