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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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Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
| Advances in Artificial Intelligence: Models, Optimization, and Machine Learning |
| Autore | Leon Florin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (362 p.) |
| Soggetto topico |
Mathematics and Science
Research and information: general |
| Soggetto non controllato |
NET framework
adaptive sampling agent algorithms agent-based systems animal-inspired applied machine learning approximate differential optimization autonomous driving class imbalance classification classification and regression combinatorics computational complexity data mining deep learning deep neural networks DeepFKTNet defect classification distance metrics distributed W-learning dynamic programming algorithm engineering informatics ensemble model evolutionary algorithm exploitation exploration free radical polymerization gender-based violence in Mexico generative adversarial networks graph neural network hot rolled strip steel hyperparameters image classification inference instance-based learning intelligent transport systems interoperability k-nearest neighbor knockout tournament large margin nearest neighbor regression machine learning metaheuristics multi-agent framework multi-agent systems multiple point hill climbing multisensory fingerprint n/a object tracking optimization plastic bottle prototypes reinforcement learning simulations software design spatial-temporal variable speed limit stochastic methods surface defects traffic control trajectory prediction transfer learning twitter messages urban motorways |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in Artificial Intelligence |
| Record Nr. | UNINA-9910580212403321 |
Leon Florin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biomolecular Data Science-in Honor of Professor Philip E. Bourne
| Biomolecular Data Science-in Honor of Professor Philip E. Bourne |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (232 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
amino acids
and graph neural network APOBEC basal cells binding energy bioinformatics biological macromolecules carbohydrates cell-type composition census tract ciliated cells CRISPR/Cas9 cryogenic electron microscopy cryogenic electron tomography data science deep learning DNA DNA sequencing drug discovery drug repositioning drugs of abuse electron crystallography electronic health records entropy FAIR function annotation functional families genome editing goblet cells graph neural network immune response to smoking kernel classifiers kernel method KinBase classification KinFams large language models ligand binding sites lung cancers machine learning macromolecular crystallography metagenomics micro-electron diffraction MSA mutational signatures n/a nuclear magnetic resonance spectroscopy nucleic acids off-targets Open Access pharmacovigilance Philip Bourne prioritization algorithm Protein Data Bank protein database protein kinases proteins quantum machine learning quantum metric learning reaction template read classification real-world evidence recurrent neural network retrosynthesis RNA search tool SHAP values small-molecule ligands smoking social determinants of health social media specificity annotation structural bioinformatics structure-based drug discovery variability Worldwide Protein Data Bank |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911053031203321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computation in Complex Networks
| Computation in Complex Networks |
| Autore | Pizzuti Clara |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (352 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
active learning
angiogenesis Bayesian networks bridging centrality cascading failures chaotic time series chimera states city interaction network cloud computing architecture community detection complex network complex networks complex system simulation computational biology convergence coupled map lattice cross-domain recommendation cross-entropy data mining disjoint nodes disjunct nodes dissimilarity spaces entropy evolution model Gaussian mixture model genre classification graph neural network graph neural networks graph representation learning information diffusion information spreading inverse preferential attachment kernel methods knowledge evolution language development language networks latent sentiment review feature lemmatization literary works machine learning maximum likelihood maximum mean discrepancy membrane algorithm minimum memory based sign adjustment modularity multilayer complex networks n/a network embedding network growth network properties network topology nilpotent matrix node classification node similarity non-linear mapping null models NW network online social networks optimization overlapping communities overlapping nodes preferential attachment protein contact networks QoS-based service selection renormalisation process SciSci self-organizing map network semantic search framework sentiment analysis service-oriented modeling social media social networks socio-ecological system spreading control stability structural balance stylistic attributes support vector machines systems biology variational autoencoder variational inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557395103321 |
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Pizzuti Clara
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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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Principles and Applications of Data Science
| Principles and Applications of Data Science |
| Autore | Liu Chuan-Ming |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (168 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
air pollution
behaviour network behaviour sequence pattern classification combined classification model convolutional neural network corpus data crop production prediction data mining deep learning deep transfer learning dictionary digitization electronic health records fair exchange feature fusion fine-tuning focal-segmental forward secrecy graph neural network image classification Internet of Things kidney disease kidney glomeruli lexical data linguistic linked open data medical image mining mobile application neuro-fuzzy peasant farming PM10 PM2.5 prediction model predictive analytics raw material sclerosed glomeruli self-attention mechanism similar user recommendation smart farming system supervised terminology terminology application user preference learning water crystal |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580211103321 |
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Liu Chuan-Ming
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Selected Papers from the 19th International Conference on Calorimetry in Particle Physics (CALOR 2022)
| Selected Papers from the 19th International Conference on Calorimetry in Particle Physics (CALOR 2022) |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (356 p.) |
| Soggetto topico |
Physics
Research and information: general |
| Soggetto non controllato |
ADRIANO2
astroparticles ATLAS burn-in calibration calorimeter calorimeter calibration calorimeter performance calorimeter reconstruction calorimeters calorimetry calorimetry for high energy physics ceramics charge transfer luminescence Cherenkov calorimeter Cherenkov light cluster splitting algorithm CMS CNN commissioning compact muon solenoid cosmic rays crystal crystals dark photon deep learning dual calorimetry dual readout detector R&D dual-readout dual-readout calorimetry electromagnetic calorimeter electromagnetic calorimetry electromagnetic showers electronics energy nonlinearity energy reconstruction energy resolution fast timing fast-timing FCC flavour violation forward calorimetry FPGA front-end future colliders gaseous imaging and tracking detectors geant-val Geant4 GNN graph neural network hadron calorimeter hadron calorimetry hadronic calorimeter hadronic interaction HGCAL Higgs factory high energy physics high granularity high granularity calorimetry high luminosity large hadron collider high-granularity image reconstruction intensity frontier irradiation JUNO JUNO-TAO LAr large detector systems for particle and astroparticle physics large hadron collider LHC light yield linear collider liquid argon liquid argon calibration liquid argon detectors liquid scintillator liquified noble gas LYSO machine learning MAPS mechanics MPPC neural network neutrino detectors neutrons optical fibres particle detectors particle flow particle identification PbF2 Phase-1 phase-2 Phase-II upgrade photomultipliers plasma light source PMTs pre-shower proton CT proton tracking protons quality assurance testing radiation hardness radiation-hard detectors reactor neutrinos readout resistive plate chambers resolution scintillating glass scintillation scintillation light scintillators secondary electron emission signal processing signal reconstruction silicon detectors silicon photomultiplier silicon photomultipliers simulation SiPM SiPMs SLR space instrumentation test-beam tile calorimeter Tile Calorimeter TileCal time of flight transformer-coupled buck converters trigger ultrafast calorimetry upgrade γ-ray astronomy |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Selected Papers from the 19th International Conference on Calorimetry in Particle Physics |
| Record Nr. | UNINA-9910743276503321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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