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Bioinformatics Applications Based On Machine Learning
| Bioinformatics Applications Based On Machine Learning |
| Autore | Chamoso Pablo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (206 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
Affective Computing
Arabidopsis thaliana Artificial Neural Networks bi-directional LSTM bioinformatics biological functions detection classification clinical data clinical implications cluster computer vision convolutional neural network CTX-M data mining Decision table deep learning derivative-free optimization detection diabetes dynamic models ear detection epidemiology evolutionary computation evolutionary computing feature selection forecast fuel cell gene clustering genetic programming glycolysis gradient boosting Harmony Search hybrid systems hydrogen energy image recognition informative genes intelligent systems machine learning Machine Learning metabolism metagenomics metrics mitochondrial protein parameter estimation PART Particle Swarm Optimization personality assessment plasmodium falciparum power management real-life patients regression swarm intelligence transposable elements video analysis Weka yeast |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674055503321 |
Chamoso Pablo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Numerical and Evolutionary Optimization 2020
| Numerical and Evolutionary Optimization 2020 |
| Autore | Quiroz Marcela |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (364 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
adaptive algorithm
artificial intelligence base excitation chaotic perturbation CMOS differential pair CMOSA CMOTA cognitive tasks computational fluid dynamics constraint handling continuation Convolutional Neural Network COVID-19 decision maker profile decision making process decision-making process deep learning density estimators derivative-free optimization differential evolution drainage rehabilitation energy central ensemble method evolutionary algorithms finite volume method fixed point arithmetic forecasting FP16 fully linear models hybrid evolutionary approach Hybrid Simulated Annealing incorporation of preferences JSSP kriging method linear programming liquid storage tanks LSTM Metropolis Monte Carlo analysis multi-criteria classification Multi-Gene Genetic Programming multi-objective evolutionary optimization multi-objective optimization multi-objective portfolio optimization problem multiobjective descent multiobjective optimization optimization optimization framework optimization using preferences outranking relationships overflooding Pareto Tracer pipe breaking profile assessment project portfolio selection problem protein structure prediction pseudo random number generator PVT variations radial basis functions recommender system region of interest approximation robust optimization ROOT steady state algorithms structural biology surrogate modeling Template-Based Modeling trapezoidal fuzzy numbers trust region methods usability evaluation VCO |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557631003321 |
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Quiroz Marcela
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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