Search Results - (automatic OR automation) machine learning algorithm based on genetic algorithms*

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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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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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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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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An efficient and robust Phonocardiography (PCG)-based Valvular Heart Diseases (VHD) detection framework using Vision Transformer (ViT) by Jamil, Sonain, Roy, Arunabha M.

“… Rapid and accurate diagnosis of the early stage of VHD based on cardiac phonocardiogram (PCG…”
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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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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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Human oocytes image classification method based on deep neural networks by Targosz, Anna, Myszor, Dariusz, Mrugacz, Grzegorz

“… In the hereby work, we present the method for the automatic classification of oocytes based on their images, that employs DNN algorithms…”
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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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Large‐scale, image‐based tree species mapping in a tropical forest using artificial perceptual learning by Tang, Chengliang, Uriarte, María, Jin, Helen, Morton, Douglas, Zheng, Tian, Ellison, Aaron

“…, especially in high diversity ecosystems such as tropical forests. Recent advances in machine learning offer a promising and cost…”
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A deep learning generative model approach for image synthesis of plant leaves by Benfenati, Alessandro, Bolzi, Davide, Causin, Paola, Oberti, Roberto

“…-recognition algorithms. Methods Following an approach based on DL generative models, we introduce a Leaf-to-Leaf Translation (L2L…”
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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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State of the Art on Grammatical Inference Using Evolutionary Method by Pandey, Hari Mohan

“…) using evolutionary algorithms.Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language…”
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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 survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis by Mesejo, Pablo, Ibáñez, Óscar, Cordón, Óscar, Cagnoni, Stefano

“…[Display omitted] •Metaheuristics (MHs) are general-purpose stochastic optimization methods.•A Deformable Model (DM) tries to maximize its overlap with the…”
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Wavelets in soft computing (World scientific series in robotics and intelligent systems, vol. 25) by Thuillard, Marc

“… It is the first book on hybrid methods combining wavelet analysis with fuzzy logic, neural networks or genetic algorithms…”
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