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Advanced Machine Learning Applications in Big Data Analytics
| Advanced Machine Learning Applications in Big Data Analytics |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (654 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
1D quadratic chaotic system
adaptive learning adversarial attacks ARMA attentional mechanisms BaaS system bagging model behavior detection blockchain consensus algorithm border patrol BP butterfly optimization algorithm capacitated vehicle routing planning CBAM CBCFI classification algorithms cloud clustering algorithms CNN color image combined prediction model community clustering complementary ensemble empirical mode decomposition (CEEMD) composite multi-scale dispersion entropy computer vision concept drift confidentiality management convolutional neural networks coupled map lattice COVID-19 crisscross search data stream mining deep belief network deep feature deep learning design science research differential evolution digital archives disease classification DNA coding DNA computing DNA sequences design document classification dual-update strategy ELM embedding propagation emotion-cause pair extraction energy storage error coefficient event extraction event trigger words event type extreme learning machine fault diagnosis feature selection financial time series forecasting flight safety forecasting forex GA generative adversarial network global optimization GM graph attention network graph convolutional network graph neural network gravity search hash function health Hemerocallis citrina Baroni heterogeneous graph hierarchical clustering hierarchical model high-plateau flight hybrid model hyperspectral image classification image classification image encryption improved matrix particle swarm optimization algorithm (IMPSO) incremental learning information system information systems infrared Jaccard distance KNN least squares method lightweight neural networks long short-term memory network machine learning maturity detection mean absolute error mean-semivariance model membership grade meta-heuristic model predictive control multi-behavior recommendation multi-strategy MultiRocket n/a neural architecture search neural networks NLP object detection online learning opposition-based learning output optimization overseas Chinese associations particle swarm optimization peak shaving and frequency regulation performance analysis pilot abnormal behavior pixel level polymorphic mapping portfolio optimization principal component analysis PROPHET PSO quantum dynamics quick access recorder random replacement ridge regression saving mileage sequential recommendation service level agreement short-term traffic-flow forecasting signal-to-noise ratio distance sliding window spatial-temporal systems splicing model stacking model stock announcement news stock return support vector machine support vector machine swarm intelligence support vector machines swarm intelligence talent stability prediction target detection time series time series classification tomato leaf traffic flow forecasting transaction priority variational mode decomposition warning system whale optimization algorithm YOLOv4 algorithm YOLOv5 algorithm |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743276603321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence and Human- Computer Interaction: Modern Methods and Applications
| Computational Intelligence and Human- Computer Interaction: Modern Methods and Applications |
| Autore | Cojocar Grigoreta-Sofia |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (192 p.) |
| Soggetto topico |
Mathematics and Science
Research and information: general |
| Soggetto non controllato |
acoustic background
acoustic modeling adaptive learning agile global software engineering architectural knowledge management artificial neural networks automatic speech recognition conceptual knowledge processing cultural heritage depth sensor digital storytelling distant speech processing edutainment applications emotions aware applications finger attention fingerspelling recognition formal concept analysis gesture input highly inflected word forms human-computer interaction inter-finger relation knowledge condensing machine learning model fusion multi-platform evaluation multimodal interaction natural interfaces natural language processing online distance learning overlapping speech detection quality estimation receptive field services smart cars smart devices software architecture speaker diarization speaker extractor models speaker number estimation spontaneous speech processing ubiquitous computing usability evaluation virtual dialogue assistant virtual reality voice activity detection voice input |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Computational Intelligence and Human- Computer Interaction |
| Record Nr. | UNINA-9910576880303321 |
Cojocar Grigoreta-Sofia
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann
| Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann |
| Autore | Ryoo Jungwoo |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XV, 137 p. 8 illus., 7 illus. in color.) |
| Disciplina | 519.5 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Statistics
Machine learning Learning Instruction Knowledge representation (Information theory) Statistics for Social Sciences, Humanities, Law Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Educació STEM Educació superior |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Statistics for Social Sciences, Humanities, Law
Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics and Computing Education Innovative Learning Environments ILEs Science, Technology, Engineering, and Math STEM virtual reality VR augmented reality mixed reality cross reality extended reality artificial intelligence AI adaptive learning personalized learning higher education multimodal learning mobile learning Open Access Social research & statistics Mathematical & statistical software Teaching skills & techniques Cognition & cognitive psychology Expert systems / knowledge-based systems |
| ISBN | 3-030-58948-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. X-FILEs Vision for personalized and Adaptive Learning -- 3. X-FILEs Vision for Multi-modal Learning Formats -- 4. X-FILEs Vision for Extended/Cross Reality (XR) -- 5. X-FILEs Vision for Artificial Intelligence (AI) and Machine Learning (ML) -- 6. Cross-Cutting Concerns -- 7. Epilogue. |
| Record Nr. | UNISA-996466564503316 |
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Ryoo Jungwoo
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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