Search Results - automation machine learning algorithm based on genetic algorithms*

Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing by Ji, Jian-Jiao, Guo, Yi-Nan, Gao, Xiao-Zhi, Gong, Dun-Wei, Wang, Ya-Peng

“…Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing systems normally select the optimal participants giving no consideration…”
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A Unified Framework for Automatic Distributed Active Learning by Chen, Xu, Wujek, Brett

“… First, automated graph-based semi-supervised learning is conducted by aggregating the proposed cost functions from different compute nodes and jointly optimizing hyperparameters in both the…”
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Artificial Bee Colony Algorithm Based on Information Learning by Gao, Wei-Feng, Huang, Ling-Ling, Liu, San-Yang, Dai, Cai

“…Inspired by the fact that the division of labor and cooperation play extremely important roles in the human history development, this paper develops a novel artificial bee colony algorithm based on information learning (ILABC, for short…”
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An efficient algorithm for data transmission certainty in IIoT sensing network: A priority-based approach by Nalbant, Kemal Gökhan, Almutairi, Sultan, Alshehri, Asma Hassan, Kemal, Hayle, Alsuhibany, Suliman A., Choi, Bong Jun

“…This paper proposes a novel cache replacement technique based on the notion of combining periodic popularity prediction with size caching…”
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Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach by Saha, Dip Kumar, Hoque, Md Emdadul, Badihi, Hamed

“…The bearing is an essential component of a rotating machine. Sudden failure of the bearing may cause an unwanted breakdown of the manufacturing plant…”
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GenoMus: Representing Procedural Musical Structures with an Encoded Functional Grammar Optimized for Metaprogramming and Machine Learning by López-Montes, José, Molina-Solana, Miguel, Fajardo, Waldo

“…We present GenoMus, a new model for artificial musical creativity based on a procedural approach, able to represent compositional techniques behind a musical score…”
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Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record (QAR) Data Analysis by Zhuang, Zibo, Lin, Kunyun, Zhang, Hongying, Chan, Pak-Wai

“… This study aims to explore a universally applicable symbolic classification approach based on genetic programming to detect turbulence anomalies using quick access recorder (QAR) data…”
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Predicting the optimum compositions of a transdermal nanoemulsion system containing an extract of Clinacanthus nutans leaves (L.) for skin antiaging by artificial neural network model by Che Sulaiman, Intan Soraya, Basri, Mahiran, Fard Masoumi, Hamid Reza, Ashari, Siti Efliza, Basri, Hamidon, Ismail, Maznah

“… nutans leaves for skin antiaging. Five universal learning algorithms—incremental back propagation, batch back propagation, quick propagation, genetic algorithm, and Levenberg‐Marquardt…”
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Towards an automated protocol for wildlife density estimation using camera‐traps by Zampetti, Andrea, Mirante, Davide, Palencia, Pablo, Santini, Luca

“… without human supervision. Here, we assessed the capability of two camera‐trap based models to provide robust density estimates when image classification is carried out by machine learning algorithms…”
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SMART: Unique Splitting-While-Merging Framework for Gene Clustering by Fa, Rui, Roberts, David J., Nandi, Asoke K.

“…Successful clustering algorithms are highly dependent on parameter settings. The clustering performance degrades significantly unless parameters are properly set, and yet, it is difficult to set these parameters a priori…”
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Automated Cellular Modeling and Prediction on a Large Scale by Datta, Piew, Masand, Brij, Mani, D. R., Li, Bin

“… Learningmethods such as decision trees and genetic algorithmsare…”
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A Neural Network and Optimization Based Lung Cancer Detection System in CT Images by Venkatesh, Chapala, Ramana, Kadiyala, Lakkisetty, Siva Yamini, Band, Shahab S., Agarwal, Shweta, Mosavi, Amir

“…One of the most common causes of death from cancer for both women and men is lung cancer. Lung nodules are critical for the screening of cancer and early…”
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Evolutionary robotics: from algorithms to implementations by Wang, LingFeng, Tan, Kay Chen, Chew, Chee Meng

“…This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques…”
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A Hybrid GA/ML-Based End-to-End Automated Methodology for Design Acceleration of Wireless Communications CMOS LNAs by Sad, Christos, Michailidis, Anastasios, Noulis, Thomas, Siozios, Kostas

“…’ values while genetic algorithm optimization was exploited for the dataset creation automation…”
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Evaluating case-based reasoning and evolution strategies for machine maintenance by Liu, J.N.K., Sin, D.K.Y.

“… Three learning algorithms: adaptive gradient learning of CBR, time series prediction using a time lagged recurrent network (TLRN…”
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