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Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
| Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications |
| Autore | Vitelli Massimo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (280 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
sensor network
data fusion complex network analysis fault prognosis photovoltaic plants ANFIS statistical method gradient descent photovoltaic system sustainable development PV power prediction artificial neural network renewable energy environmental parameters multiple regression model moth-flame optimization parameter extraction photovoltaic model double flames generation (DFG) strategy Solar cell parameters single-diode model two-diode model COA photovoltaic systems maximum power point tracking single stage grid connected systems solar concentrator spectral beam splitting diffractive optical element diffractive grating PVs power output forecasting adaptive neuro-fuzzy inference systems particle swarm optimization-artificial neural networks solar irradiation photovoltaic power prediction publicly available weather reports machine learning long short-term memory integrated energy systems smart energy management PV fleet clustering-based PV fault detection unsupervised learning self-imputation implicit model solution photovoltaic array series–parallel global optimization partial shading deterministic optimization algorithm metaheuristic optimization algorithm genetic algorithm solar cell optimization finite difference time domain optical modelling thermal image photovoltaic module hot spot image processing deterioration linear approximation MPPT algorithm duty cycle global horizontal irradiance mathematical modeling feed-forward neural networks recurrent neural networks LSTM cell performances evaluation clear sky irradiance persistent predictor photovoltaics artificial neural networks national power system |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557297703321 |
Vitelli Massimo
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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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Computational Optimizations for Machine Learning
| Computational Optimizations for Machine Learning |
| Autore | Gabbay Freddy |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
ARIMA model
time series analysis online optimization online model selection precipitation nowcasting deep learning autoencoders radar data generalization error recurrent neural networks machine learning model predictive control nonlinear systems neural networks low power quantization CNN architecture multi-objective optimization genetic algorithms evolutionary computation swarm intelligence Heating, Ventilation and Air Conditioning (HVAC) metaheuristics search bio-inspired algorithms smart building soft computing training evolution of weights artificial intelligence deep neural networks convolutional neural network deep compression DNN ReLU floating-point numbers hardware acceleration energy dissipation FLOW-3D hydraulic jumps bed roughness sensitivity analysis feature selection evolutionary algorithms nature inspired algorithms meta-heuristic optimization computational intelligence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557610303321 |
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Gabbay Freddy
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Current Approaches and Applications in Natural Language Processing
| Current Approaches and Applications in Natural Language Processing |
| Autore | Montejo-Ráez Arturo |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (476 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
natural language processing
distributional semantics machine learning language model word embeddings machine translation sentiment analysis quality estimation neural machine translation pretrained language model multilingual pre-trained language model WMT neural networks recurrent neural networks named entity recognition multi-modal dataset Wikimedia Commons multi-modal language model concreteness curriculum learning electronic health records clinical text relationship extraction text classification linguistic corpus deception linguistic cues statistical analysis discriminant function analysis fake news detection stance detection social media abstractive summarization monolingual models multilingual models transformer models transfer learning discourse analysis problem-solution pattern automatic classification machine learning classifiers deep neural networks question answering machine reading comprehension query expansion information retrieval multinomial naive bayes relevance feedback cause-effect relation transitive closure word co-occurrence automatic hate speech detection multisource feature extraction Latin American Spanish language models fine-grained named entity recognition k-stacked feature fusion dual-stacked output unbalanced data problem document representation semantic analysis conceptual modeling universal representation trend analysis topic modeling Bert geospatial data technology and application attention model dual multi-head attention inter-information relationship question difficult estimation named-entity recognition BERT model conditional random field pre-trained model fine-tuning feature fusion attention mechanism task-oriented dialogue systems Arabic multi-lingual transformer model mT5 language marker mental disorder deep learning LIWC spaCy RobBERT fastText LIME conversational AI intent detection slot filling retrieval-based question answering query generation entity linking knowledge graph entity embedding global model DISC model personality recognition predictive model text analysis data privacy federated learning transformer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595079903321 |
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Montejo-Ráez Arturo
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Analytics and Applications of the Wearable Sensors in Healthcare
| Data Analytics and Applications of the Wearable Sensors in Healthcare |
| Autore | Syed Abdul Shabbir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (498 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
eHealth
wearable monitoring services integration IoT Telemedicine wearable sensors multivariate analysis longitudinal study functional decline exercise intervention accidental falls fall detection real-world signal analysis performance measures non-wearable sensors accelerometers cameras machine learning smart textiles healthcare talking detection activity recognition and monitoring patient health and state monitoring wearable sensing orientation-invariant sensing motion sensors accelerometer gyroscope magnetometer pattern classification artificial intelligence supervised machine learning predictive analytics hemodialysis non-contact sensor heart rate respiration rate heart rate variability time-domain features frequency-domain features principal component analysis behaviour analysis classifier efficiency personal risk detection one-class classification actigraphy encoding data compression denoising edge computing signal processing wearables activity monitoring citizen science cluster analysis physical activity sedentary behavior walking energy expenditure wearable device impedance pneumography neural network mechanocardiogram (MCG) smart clothes heart failure (HF) left ventricular ejection fraction (LVEF) technology acceptance model (TAM) physical activity classification free-living GENEactiv accelerometer Gaussian mixture model hidden Markov model wavelets skill assessment deep learning LSTM state space model probabilistic inference latent features human activity recognition MIMU genetic algorithm feature selection classifier optimization bispectrum entropy feature extraction heat stroke filtering algorithm physiological parameters exercise experiment biomedical signal processing wearable biomedical sensors wireless sensor network respiratory monitoring optoelectronic plethysmography biofeedback biomedical technology exercise therapy orthopedics mobile health qualitative human factors inertial measurement unit disease prevention occupational healthcare P-Ergonomics precision ergonomics musculoskeletal disorders wellbeing at work electrocardiogram conductive gels noncontact electrode myocardial ischemia pacemaker ventricular premature contraction upper extremity motion action research arm test activities of daily living IoT wearable monitor health posture analysis spinal posture wearable sensor embedded system recurrent neural networks physical workload wearable systems for healthcare machine learning for real-time applications actigraph body worn sensors clothing sensors cross correlation analysis healthcare movement sensing wearable devices calibration inertial measurement units human movement physical activity type real-life GPS GIS |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288603321 |
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Syed Abdul Shabbir
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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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Information Theory and Machine Learning
| Information Theory and Machine Learning |
| Autore | Zheng Lizhong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
supervised classification
independent and non-identically distributed features analytical error probability empirical risk generalization error K-means clustering model compression population risk rate distortion theory vector quantization overfitting information criteria entropy model-based clustering merging mixture components component overlap interpretability time series prediction finite state machines hidden Markov models recurrent neural networks reservoir computers long short-term memory deep neural network information theory local information geometry feature extraction spiking neural network meta-learning information theoretic learning minimum error entropy artificial general intelligence closed-loop transcription linear discriminative representation rate reduction minimax game fairness HGR maximal correlation independence criterion separation criterion pattern dictionary atypicality Lempel–Ziv algorithm lossless compression anomaly detection information-theoretic bounds distribution and federated learning |
| ISBN | 3-0365-5308-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619463403321 |
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Zheng Lizhong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Natural Language Processing: Emerging Neural Approaches and Applications
| Natural Language Processing: Emerging Neural Approaches and Applications |
| Autore | Esposito Massimo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (544 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
tourism big data
text mining NLP deep learning clinical named entity recognition information extraction multitask model long short-term memory conditional random field relation extraction entity recognition long short-term memory network multi-turn chatbot dialogue context encoding WGAN-based response generation BERT word embedding text summary reinforce learning FAQ classification encoder-decoder neural network multi-level word embeddings BERT bidirectional RNN cloze test Korean dataset machine comprehension neural language model sentence completion primary healthcare chief complaint virtual medical assistant spoken natural language disease diagnosis medical specialist protein-protein interactions deep learning (DL) convolutional neural networks (CNN) bidirectional long short-term memory (bidirectional LSTM) dialogue management user simulation reward shaping conversation knowledge multi-agent reinforcement learning language modeling classification error probability error assessment logic error neural network LSTM attention mechanism programming education neural architecture search word ordering Korean syntax adversarial attack adversarial example sentiment classification dual pointer network context-to-entity attention text classification rule-based word embedding Doc2vec paraphrase identification encodings R-GCNs contextual features sentence retrieval TF−ISF BM25 partial match sequence similarity word to vector word embeddings antonymy detection polarity text normalization natural language processing deep neural networks causal encoder question classification multilingual convolutional neural networks Natural Language Processing (NLP) transfer learning open information extraction recurrent neural networks bilingual translation speech-to-text LaTeX decompilation word representation learning word2vec sememes structural information sentiment analysis zero-shot learning news analysis cross-lingual classification multilingual transformers knowledge base commonsense sememe prediction attention model ontologies fixing ontologies quick fix quality metrics online social networks rumor detection Cantonese XGA model delayed combination CNN dictionary named entity recognition deep learning NER bidirectional LSTM CRF CoNLL OntoNotes toxic comments neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Natural Language Processing |
| Record Nr. | UNINA-9910566478103321 |
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Esposito 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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Real-Time Sensor Networks and Systems for the Industrial IoT
| Real-Time Sensor Networks and Systems for the Industrial IoT |
| Autore | Koulamas Christos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (242 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
anomaly detection
recurrent neural networks neural networks compression LHC WirelessHART network delay analysis real-time systems multi-channel processing simulation modeling transmission scheduling scheme industrial internet of things wireless networks industrial control systems wireless networked control systems industrial IoT security legacy production machinery real-time condition monitoring wireless local area network IEEE 802.11ah medium access control timeliness Wireless Sensor and Actuator Networks (WSANs) multipath retransmission resource scheduling realtime wireless communication monitoring and control system virtualization controller area network fieldbus real-time container Industrial Internet of Things (IIoT) LoRa WiFi HaLow Time Slotted Channel Hopping (TSCH) Narrowband IoT (NB-IoT) Bluetooth Low Energy (BLE) BLE Long Range WirelessHART ISA100.11a deep sparse coding convolutional neural networks signal analysis respiratory diseases medication adherence hardware design trust cryptography |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557745003321 |
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Koulamas Christos
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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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Sensors, Signal and Image Processing in Biomedicine and Assisted Living
| Sensors, Signal and Image Processing in Biomedicine and Assisted Living |
| Autore | Iakovidis Dimitris |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (312 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
high efficiency video coding
low complexity hardware friendly vehicular ad-hoc networks color vision deficiency image re-coloring visual assistance video pletysmography image processing heart rate estimation human-computer interaction biomedicine healthcare assisted living action classification human motor behavior computer vision deep learning pose tracking Brain-Computer Interface Blind Source Separation Movement Related Independent Component Wavelet Transform Convolutional Neural Network brain cancer hyperspectral imaging intraoperative imaging feature selection image-guided surgery genetic algorithm particle swarm optimization ant colony optimization support vector machine machine learning visual perception electrocardiogram (ECG) coder non-uniform sampling telecardiology compressed sensing strain gauge tremor quantification Parkinson's disease action tremors wearables biosensors sleep Fitbit Oura Hexoskin Withings cognition medical optics and biotechnology optical pathology convolutional neural networks tissue diagnostics tissue characterization glioblastoma contactless measurement vital signs RGB-thermal image processing infection diseases artificial neural network Doppler radar heart rate real-time processing visually challenged navigation image analysis fuzzy sets convolutional neural networks (CNNs) eye tracking motorized wheelchair ultrasonic proximity sensors laryngeal cancer contact endoscopy narrow band imaging automatic classification feature extraction Barrett neoplasia tissue detection recurrent neural networks upper GI tract |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557758703321 |
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Iakovidis Dimitris
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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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