Applied Mathematics to Mechanisms and Machines |
Autore | Rubio Alonso Higinio |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (396 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
path generation
dimensional synthesis hybrid optimization slider-crank mechanism hybrid compliant mechanisms path analysis numerical methods elliptic integrals kinematics Levenberg–Marquardt algorithm convergence neural networks local minima optimization three-legged parallel mechanism compliant mechanism flexure-based mechanism flexure compliant joint decoupled motion coupled motion stiffness compliance suspension algorithm predictive suspension land vehicle sprung mass autoencoder aeroengine denoising GRU rotordynamic adaptive rejection control sinusoidal disturbance flexible rotor hydrodynamic journal bearing six-bar mechanism dynamic balancing fully Cartesian coordinates multiobjective optimization differential evolution Pareto front serial robotic manipulators singularity identification geometric algebra rotor group distance to a singularity air flow medical sensor emergency air flow sensor low-cost air flow sensor nanostructures COVID-19 FEM analysis biomechanics effort mathematical models NMR reconstruction reverse engineering elbow joint zipper-coupled tubes Miura-ori pattern deployable mechanism origami inspired design smooth sheet attachment relative rotation jump safe basin fractal heteroclinic bifurcation delayed feedback helical spring vibration Frenet trihedral dispersion relation natural frequency approximate entropy non-linear systems phase space reconstruction fault classification random forest support vector machines lateral dynamics track parameters vehicle mathematical modeling safety vehicle index |
ISBN | 3-0365-5924-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910639986503321 |
Rubio Alonso Higinio | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence Applications to Smart City and Smart Enterprise |
Autore | Impedovo Donato |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (374 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
spatio-temporal
residual networks bus traffic flow prediction advance rate shield performance principal component analysis ANFIS-GA tunnel online learning extreme learning machine cyclic dynamics transfer learning knowledge preservation Feature Adaptive optimization Bacterial Foraging algorithm Swarm Intelligence algorithm Isolated Microgrid traffic surveillance video state analysis Grassmann manifold neural network machine-learning quality of life Better Life Index bagging ensemble learning pedestrian attributes surveillance image semantic attributes recognition multi-label learning large-scale database traffic congestion detection minimizing traffic congestion traffic prediction deep learning urban mobility ITS Vehicle-to-Infrastructure neural networks LSTM embeddings trajectories motion behavior smart tourism driver’s behavior detection texting and driving convolutional neural network smart car smart cities smart infotainment driver distraction cameras convolution detection image recognition DSS diabetes prediction homecare assistance information system muti-attribute analysis artificial training dataset machine learning big data data analysis sensors Internet of Things vehicular networks VDTN routing message scheduling traffic flow prediction wavenet TrafficWave RNN GRU SAEs risk assessment neural architecture search recurrent neural network automated driving vehicle decision support system artificial intelligence disaster management Smart city program management integrated model smart city intelligence transportation system computer vision potential pedestrian safety data mining healthcare Apache Spark disease detection symptoms detection Arabic language Saudi dialect high performance computing (HPC) spatial-temporal dependencies traffic periodicity graph convolutional network traffic speed prediction vehicular traffic surveillance video big data analysis autonomous driving life quality pattern recognition |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557295703321 |
Impedovo Donato | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Innovative Topologies and Algorithms for Neural Networks |
Autore | Xibilia Maria Gabriella |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (198 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
facial image analysis
facial nerve paralysis deep convolutional neural networks image classification Chinese text classification long short-term memory convolutional neural network Arabic named entity recognition bidirectional recurrent neural network GRU LSTM natural language processing word embedding CNN object detection network attention mechanism feature fusion LSTM-CRF model elements recognition linguistic features POS syntactic rules action recognition fused features 3D convolution neural network motion map long short-term-memory tooth-marked tongue gradient-weighted class activation maps ship identification fully convolutional network embedded deep learning scalability gesture recognition human computer interaction alternative fusion neural network deep learning sentiment attention mechanism bidirectional gated recurrent unit Internet of Things convolutional neural networks graph partitioning distributed systems resource-efficient inference pedestrian attribute recognition graph convolutional network multi-label learning autoencoders long-short-term memory networks convolution neural Networks object recognition sentiment analysis text recognition IoT (Internet of Thing) systems medical applications |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557553903321 |
Xibilia Maria Gabriella | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Intelligent Sensors for Human Motion Analysis |
Autore | Krzeszowski Tomasz |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (382 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
gait recognition
biometrics regularized discriminant analysis particle swarm optimization grey wolf optimization whale optimization algorithm FMCW vital sign XGBoost MFCC COVID-19 3D human pose estimation deep learning generalization optical sensing principle modular sensing unit plantar pressure measurement gait parameters 3D human mesh reconstruction deep neural network motion capture neural networks reconstruction gap filling FFNN LSTM BILSTM GRU pose estimation movement tracking computer vision artificial intelligence markerless motion capture assessment kinematics development machine learning human action recognition features fusion features selection recognition fall risk detection balance Berg Balance Scale human tracking elderly telemedicine diagnosis precedence indicator knowledge measure fuzzy inference rule induction posture detection aggregation function markerless human motion analysis gait analysis data augmentation skeletal data time series classification EMG pattern recognition robot cyber-physical systems RGB-D sensors human motion modelling F-Formation Kinect v2 Azure Kinect Zed 2i socially occupied space facial expression recognition facial landmarks action units convolutional neural networks graph convolutional networks artifact classification artifact detection anomaly detection 3D multi-person pose estimation absolute poses camera-centric coordinates deep-learning |
ISBN | 3-0365-5074-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619469003321 |
Krzeszowski Tomasz | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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