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2461Mapping Mineral Prospectivity Using a Hybrid Genetic Algorithm–Support Vector Machine (GA–SVM) Model“...Machine learning (ML) as a powerful data-driven method is widely used for mineral prospectivity...”
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2462“... the VGGNET-16 deep convolutional neural network. (2) Through comparison with traditional machine learning...”
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2463“... buildings, based on the ray tracing (RT) method and machine learning (ML) theories, a cluster-based channel...”
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2464“... processing of 3D micrographs and machine learning to obtain the positional data of individual cells of <i...”
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2465“... user backgrounds, data integration, and sharing; (c) development of machine learning and artificial...”
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2466“... data analysis, machine learning and AI-based devices are currently under development and taking a role...”
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2467por Saeed M. Alghamdi, Abdullah S. Alsulayyim, Jaber S. Alqahtani, Abdulelah M. Aldhahir“... technologies, such as mobile health applications, artificial intelligence, and machine learning. The quick...”
Publicado 2021
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2468“... directions. On the other hand, many publications present methods, such as machine learning or AI...”
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2469“... makes it extremely challenging for existing machine learning methods because this limited dataset does...”
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2470por Jesus Morales García, Chibuike C. Udenigwe, Jorge Duitama, Andrés Fernando González Barrios“... developed an ensemble machine learning predictor to classify peptides obtained from whey hydrolysis. A total...”
Publicado 2022
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2471por Rogério Rodrigues dos Santos, Tulio Gomes de Paula Machado, Saullo Giovani Pereira Castro“..., metamodeling and optimization phases. A machine learning strategy based on support vector machine (SVM) is used...”
Publicado 2021
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2472“..., and approaches typical of machine learning and artificial intelligence, such as the anomaly detection task....”
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2473“... such as Named Entity Recognition (NER) and Relationship Extraction (RE). Both rule-based and Machine-Learning...”
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2474“... decades, the application of machine learning algorithms to predict protein subcellular locations has been...”
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2475“..., such as machine learning to assess liking and other parameters of interest from the whole package and specific...”
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2476por Krzysztof K. Cwalina, Piotr Rajchowski, Alicja Olejniczak, Olga Błaszkiewicz, Robert Burczyk“... networks has evolved as well. The powerful tools, like machine learning, break new ground in smart network...”
Publicado 2021
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2477por Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K Singh“... response in multiple-environments. Our proposed models outperformed other competing machine learning models...”
Publicado 2021
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2478“... on conventional machine-learning algorithms; hence, they lose the benefits of metaheuristic optimization. Here, we...”
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2479“...Deep Neural Networks (DNNs) are the preferred choice for image-based machine learning applications...”
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2480por Luis M. Schang“.../mBio.01612-17) have used dynamic proteomics and machine learning to show that the cell cycle state...”
Publicado 2018
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