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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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Biometric Systems
| Biometric Systems |
| Autore | Nanni Loris |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (352 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
assessment
augmented signature autism spectrum disorder (ASD) automatic recognition automatic signature verification biomarker biometric recognition biometric recognition performance evaluation biometric systems biometry bit planes block bloodstream body motion contactless acquisition device contactless dataset cross-device curve similarity curve similarity model curve similarity transformation data quality deep learning depth map ensemble dorsal hand vein recognition ear detection ECG enrollment phase evolutionary computation face face detection face recognition systems face verification filtering finger features finger vein recognition fingerprint function features Gabor filter Gaussian mixture model geometric deep learning hand vein recognition Hausdorff distance human identification identification image classification image covariates image quality assessment image recognition infrared camera intervention LGS local coding Lviv Biometric Dataset machine learning mobile conditions multi-biometrics multimodal recognition mutual information non-contact devices online signature verification optical correlation Oriented FAST and Rotated BRIEF (ORB) pattern recognition performance assessment person identification person re-identification Physionet presentation attack detection public vascular pattern dataset quality filtering rotation equivariance SC-DTW Scale-Invariant Feature Transform (SIFT®) security enhancement segmentation matching semantic segmentation shape contexts similarity distance Speeded Up Robust Features (SURF®) structured prediction superpixel superpixels survey symbolic representation temporally aligned pooling touch-screen sensor two-stage method vascular biometric recognition visible light iris images voice walking cycle wrist vein recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557789403321 |
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Nanni Loris
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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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