Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Data Science and Knowledge Discovery
| Data Science and Knowledge Discovery |
| Autore | Portela Filipe |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (254 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
activity recognition
adaptation process ArcGIS artificial intelligence attribution authorship automation big data Big Data box-counting framework chatbots classification content base image retrieval COVID-19 crisis reporting customer relationship management (CRM) dashboard data analysis data analytics data augmentation data mining data science databases decision systems deep features deep learning digital humanities digital infrastructures distracted driving driving behavior driving operation area e-commerce economic determinants of open data ESP32 microcontroller feature extraction forensic intelligence fractal dimension geoinformation technology governance and social institutions humanities ICT information systems interdisciplinary research internet of things ioCOVID19 journalists linked open data LoRaWAN machine learning media analytics media criticism multimedia document retrieval n/a neural networks news media open government data prediction by partial matching public health rough sets rule based systems SARS-CoV-2 script Python semantic information retrieval smart homes social sciences spatio-temporal territorial road network text mining textbook research The Things Network Web Intelligence WebGIS |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576878103321 |
Portela Filipe
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sensing and Signal Processing in Smart Healthcare
| Sensing and Signal Processing in Smart Healthcare |
| Autore | Zhao Wenbing |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (198 p.) |
| Soggetto topico |
English
For ELT / ESL learning, courses, examinations and certificates Language and Linguistics Language teaching and learning |
| Soggetto non controllato |
ambient assisted living
arrhythmia auditory perception autoencoder Bayesian inference behavioral analysis biometrics brain cancer detection Cascaded-Integrator-Comb (CIC) filter computer vision computer-assisted screening Cramér-Rao lower bound (CRLB) CUDA data adaptive demodulator deep learning denoising autoencoder Dynamic Time Warping eHealth endothelial dysfunction fixed point math FPGA gesture recognition Graphics Processing Units (GPUs) heartbeat classification Hidden Markov Model human monitoring human motion human-computer interaction hyperspectral imaging impaired sensor indoor localisation indoor monitoring Inertial Measurement Unit (IMU) inertial sensors intelligent luminaires Internet of Things (IoT) K-means Kalman filter keypoints feature matching machine learning motion estimation n/a near-infrared images OpenCL OpenMP photoplethysmography scale invariant feature transform simulation sleep pose recognition smart homes software engineering spline function Structural Health Monitoring subharmonics Time of Arrival (TOA) Time of Flight unsupervised clustering usability wearable sensors web control access web security Wi-Fi wireless sensor network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557483503321 |
|
Zhao Wenbing
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||