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Information systems foundations : the role of design science / / edited by Dennis N. Hart and Shirley D. Gregor
| Information systems foundations : the role of design science / / edited by Dennis N. Hart and Shirley D. Gregor |
| Pubbl/distr/stampa | Canberra : , : ANU Press, , 2010 |
| Descrizione fisica | 1 online resource (318 pages) : digital file(s) |
| Disciplina | 658.4038 |
| Altri autori (Persone) |
HartDennis N
GregorShirley Diane |
| Collana | Information systems foundations |
| Soggetto topico |
Management information systems
Information resources management System design Information technology industries |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910765998403321 |
| Canberra : , : ANU Press, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Topologies and Algorithms for Neural Networks
| 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
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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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Intelligent Biosignal Analysis Methods
| Intelligent Biosignal Analysis Methods |
| Autore | Jović Alan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (256 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
sleep stage scoring
neural network-based refinement residual attention T-end annotation signal quality index tSQI optimal shrinkage emotion EEG DEAP CNN surgery image disgust autonomic nervous system electrocardiogram galvanic skin response olfactory training psychophysics smell wearable sensors wine sensory analysis accuracy convolution neural network (CNN) classifiers electrocardiography k-fold validation myocardial infarction sensitivity sleep staging electroencephalography (EEG) brain functional connectivity frequency band fusion phase-locked value (PLV) wearable device emotional state mental workload stress heart rate eye blinks rate skin conductance level emotion recognition electroencephalogram (EEG) photoplethysmography (PPG) machine learning feature extraction feature selection deep learning non-stationarity individual differences inter-subject variability covariate shift cross-participant inter-participant drowsiness detection EEG features drowsiness classification fatigue detection residual network Mish spatial transformer networks non-local attention mechanism Alzheimer's disease fall detection event-centered data segmentation accelerometer window duration |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557354803321 |
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Jović Alan
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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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Intelligent Computing for Big Data
| Intelligent Computing for Big Data |
| Autore | Wang Wei |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (100 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
multimodal data
behavior recognition dog detection fusion model deep learning older people long-term care artificial intelligence blockchain technology decentralized architecture autism spectrum disorder (ASD) big data bioinformatics machine learning classification bio-inspired algorithms Grey Wolf Optimization (GWO) Support Vector Machine (SVM) convolution neural network spatio-temporal document document classification big text data proxy re-encryption blockchain storage proof-of-replication |
| ISBN | 3-0365-5878-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637792303321 |
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Wang Wei
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Knowledge Modelling and Learning through Cognitive Networks
| Knowledge Modelling and Learning through Cognitive Networks |
| Autore | Stella Massimo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
text mining
big data analytics review self-organization computational philosophy brain synaptic learning adaptation functional plasticity activity-dependent resonance states circular causality somatosensory representation prehensile synergies robotics COVID-19 social media hashtag networks emotional profiling cognitive science network science sentiment analysis computational social science VADER scoring correlation semantic network analysis intellectual disability adolescents EEG emotional states working memory depression anxiety graph theory classification machine learning neural networks phonotactic probability neighborhood density sub-lexical representations lexical representations phonemes biphones cognitive network smart assistants knowledge generation intelligent systems web components deep learning web-based interaction cognitive network science text analysis natural language processing artificial intelligence emotional recall cognitive data AI pharmacological text corpus automatic relation extraction gender stereotypes story tropes movie plots network analysis word co-occurrence network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580215503321 |
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Stella Massimo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning in Image Analysis and Pattern Recognition
| Machine Learning in Image Analysis and Pattern Recognition |
| Autore | Kumar Munish |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (112 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
machine learning
deep learning image processing classification tea fermentation automated image coding data collection methods interdisciplinary learning theory research methods systematic literature review visitor use management image classification multi-instance learning divergence dissimilarity bag-to-class Kullback–Leibler segment-based temporal modeling two-stream network action recognition internet of things detection dataset plant disease recognition image segmentation aphid Aphoidea lemon breast cancer mammogram dataset ultrasound breast cancer scans BI-RADS clinical data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557522603321 |
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Kumar Munish
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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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Machine Learning Methods with Noisy, Incomplete or Small Datasets
| Machine Learning Methods with Noisy, Incomplete or Small Datasets |
| Autore | Solé-Casals Jordi |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (316 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
open contours
similarly shaped fish species Discrete Cosine Transform (DCT) Discrete Fourier Transform (DFT) Extreme Learning Machines (ELM) feature engineering small data-sets optimization machine learning preprocessing image generation weighted interpolation map binarization single sample per person root canal measurement multifrequency impedance data augmentation neural network functional magnetic resonance imaging independent component analysis deep learning recurrent neural network functional connectivity episodic memory small sample learning feature selection noise elimination space consistency label correlations empirical mode decomposition sparse representations tensor decomposition tensor completion machine translation pairwise evaluation educational data small datasets noisy datasets smart building Internet of Things (IoT) Markov Chain Monte Carlo (MCMC) ontology graph model Artificial Neural Network Discriminant Analysis dengue feature extraction sound event detection non-negative matrix factorization ultrasound images shadow detection shadow estimation auto-encoders semi-supervised learning prediction feature importance feature elimination hierarchical clustering Parkinson’s disease few-shot learning permutation-variable importance topological data analysis persistent entropy support-vector machine data science intelligent decision support social vulnerability gender-gap digital-gap COVID19 policy-making support artificial intelligence imperfect dataset |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557324603321 |
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Solé-Casals Jordi
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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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Machine Learning Techniques for Assistive Robotics
| Machine Learning Techniques for Assistive Robotics |
| Autore | Quevedo Miguel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (210 p.) |
| Soggetto topico | Information technology industries |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557642303321 |
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Quevedo Miguel
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematics and Digital Signal Processing
| Mathematics and Digital Signal Processing |
| Autore | Lyakhov Pavel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (180 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
digital filter
finite field algebra conversion device module memory device residue feedback regulation digital signal analysis control efficacy residue number system redundant residue number system modular division fraction algorithm mathematical models of digital signal processing digital filtering maximum correntropy impulsive noise sparse channel estimation discrete wavelet transform medical imaging 3D image processing quantization noise harmonic wavelets classification kNN-algorithm deep neural networks machine learning Fourier transform short-time Fourier transform wavelet transform spectrogram confusion matrix ROC curve 3D model prosthetic design orientation positioning reconstruction speech enhancement adaptive filter microphone array sub-band processing filter bank posture classification skeleton detection motion capture exercise classification virtual rehabilitation wood defect CNN ELM genetic algorithm detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557359803321 |
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Lyakhov Pavel
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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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Mesh Methods : Numerical Analysis and Experiments
| Mesh Methods : Numerical Analysis and Experiments |
| Autore | Rukavishnikov Viktor A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (128 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
high-order methods
Brinkman penalization discontinuous Galerkin methods embedded geometry high-order boundary IMEX Runge–Kutta methods boundary value problems with degeneration of the solution on entire boundary of the domain the method of finite elements special graded mesh multigrid methods Hermitian/skew-Hermitian splitting method skew-Hermitian triangular splitting method strongly non-Hermitian matrix lie symmetries invariantized difference scheme numerical solutions finite integration method shifted Chebyshev polynomial direct and inverse problems Volterra integro-differential equation Tikhonov regularization method quartic spline triangulation scattered data continuity surface reconstruction positivity-preserving interpolation jaw crusher symmetrical laser cladding path FEPG wear |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Mesh Methods |
| Record Nr. | UNINA-9910557641103321 |
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Rukavishnikov Viktor A
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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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