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Artificial Intelligence Applications to Smart City and Smart Enterprise
| 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
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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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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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