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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (376 p.) |
| Soggetto non controllato |
natural hazards &
artificial neural network flood routing the Three Gorges Dam backtracking search optimization algorithm (BSA) lag analysis artificial intelligence classification and regression trees (CART) decision tree real-time optimization ensemble empirical mode decomposition (EEMD) improved bat algorithm convolutional neural networks ANFIS method of tracking energy differences (MTED) adaptive neuro-fuzzy inference system (ANFIS) recurrent nonlinear autoregressive with exogenous inputs (RNARX) disasters flood prediction ANN-based models flood inundation map ensemble machine learning flood forecast sensitivity hydrologic models phase space reconstruction water level forecast data forward prediction early flood warning systems bees algorithm random forest uncertainty soft computing data science hydrometeorology LSTM rating curve method forecasting superpixel particle swarm optimization high-resolution remote-sensing images machine learning support vector machine Lower Yellow River extreme event management runoff series empirical wavelet transform Muskingum model hydrograph predictions bat algorithm data scarce basins Wilson flood self-organizing map big data extreme learning machine (ELM) hydroinformatics nonlinear Muskingum model invasive weed optimization rainfall–runoff flood forecasting artificial neural networks flash-flood streamflow predictions precipitation-runoff the upper Yangtze River survey parameters Haraz watershed ANN time series prediction postprocessing flood susceptibility modeling rainfall-runoff deep learning database LSTM network ensemble technique hybrid neural network self-organizing map (SOM) data assimilation particle filter algorithm monthly streamflow forecasting Dongting Lake machine learning methods micro-model stopping criteria Google Maps cultural algorithm wolf pack algorithm flood events urban water bodies Karahan flood St. Venant equations hybrid & hydrologic model |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Future Intelligent Systems and Networks 2019
| Future Intelligent Systems and Networks 2019 |
| Autore | de Pablos Heredero Carmen |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (100 p.) |
| Soggetto topico | Film, TV & radio |
| Soggetto non controllato |
polymediation
YouTube YouTubers audio-visual genre SocialBlade elRubius features prediction sentiment analysis LSTM open data open innovation literature review authors journals knowledge areas methodological characteristics tax fraud neural networks intelligent systems and networks personal income tax prediction football clubs webs digital communication marketing engagement digital transformation innovation in communication models, prediction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557784003321 |
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de Pablos Heredero Carmen
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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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Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems
| Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems |
| Autore | Kim Jong-Suk |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (180 p.) |
| Soggetto topico |
Research & information: general
Meteorology & climatology |
| Soggetto non controllato |
flood risk
urban flood forecasting and warning inland-river combined flood system LSTM artificial neural network neurons layers temperature South Korea deep learning reference evapotranspiration climate change drought meteorological extremes climatic variables wind speed extreme El Niño event tropical cyclone tropical cyclone-induced precipitation China Bayesian approach nonstationarity reanalysis products quantile delta mapping ranges of flood sizes specific flood distributions ungauged watersheds influence of rainfall characteristics depth-averaged temperature decision tree lifetime maximum intensity climate variability seasonality dengue fever vector rainfall Bangladesh copula function drought duration drought severity land-ocean temperature contrast/meridional temperature gradient standardized precipitation evapotranspiration index |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566470503321 |
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Kim Jong-Suk
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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 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 |
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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 Sensors for Human Motion Analysis
| Intelligent Sensors for Human Motion Analysis |
| Autore | Krzeszowski Tomasz |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
gait recognition
biometrics regularized discriminant analysis particle swarm optimization grey wolf optimization whale optimization algorithm FMCW vital sign XGBoost MFCC COVID-19 3D human pose estimation deep learning generalization optical sensing principle modular sensing unit plantar pressure measurement gait parameters 3D human mesh reconstruction deep neural network motion capture neural networks reconstruction gap filling FFNN LSTM BILSTM GRU pose estimation movement tracking computer vision artificial intelligence markerless motion capture assessment kinematics development machine learning human action recognition features fusion features selection recognition fall risk detection balance Berg Balance Scale human tracking elderly telemedicine diagnosis precedence indicator knowledge measure fuzzy inference rule induction posture detection aggregation function markerless human motion analysis gait analysis data augmentation skeletal data time series classification EMG pattern recognition robot cyber-physical systems RGB-D sensors human motion modelling F-Formation Kinect v2 Azure Kinect Zed 2i socially occupied space facial expression recognition facial landmarks action units convolutional neural networks graph convolutional networks artifact classification artifact detection anomaly detection 3D multi-person pose estimation absolute poses camera-centric coordinates deep-learning |
| ISBN | 3-0365-5074-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469003321 |
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Krzeszowski Tomasz
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical Economics : Application of Fractional Calculus
| Mathematical Economics : Application of Fractional Calculus |
| Autore | Tarasov Vasily E |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (278 p.) |
| Soggetto topico | Economics, finance, business & management |
| Soggetto non controllato |
mathematical economics
economic theory fractional calculus fractional dynamics long memory non-locality fractional generalization econometric modelling identification Phillips curve Mittag-Leffler function generalized fractional derivatives growth equation Caputo fractional derivative economic growth model least squares method fractional diffusion equation fundamental solution option pricing risk sensitivities portfolio hedging business cycle model stability time delay time-fractional-order Hopf bifurcation Einstein's evolution equation Kolmogorov-Feller equation diffusion equation self-affine stochastic fields random market hypothesis efficient market hypothesis fractal market hypothesis financial time series analysis evolutionary computing modelling economic growth prediction Group of Twenty pseudo-phase space economy system modeling deep assessment least squares modeling GDP per capita LSTM econophysics continuous-time random walk (CTRW) Mittag-Leffler functions Laplace transform Fourier transform |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Mathematical Economics |
| Record Nr. | UNINA-9910557436903321 |
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Tarasov Vasily E
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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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Numerical and Evolutionary Optimization 2020
| Numerical and Evolutionary Optimization 2020 |
| Autore | Quiroz Marcela |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (364 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
robust optimization
differential evolution ROOT optimization framework drainage rehabilitation overflooding pipe breaking VCO CMOS differential pair PVT variations Monte Carlo analysis multi-objective optimization Pareto Tracer continuation constraint handling surrogate modeling multiobjective optimization evolutionary algorithms kriging method ensemble method adaptive algorithm liquid storage tanks base excitation artificial intelligence Multi-Gene Genetic Programming computational fluid dynamics finite volume method JSSP CMOSA CMOTA chaotic perturbation fixed point arithmetic FP16 pseudo random number generator incorporation of preferences multi-criteria classification decision-making process multi-objective evolutionary optimization outranking relationships decision maker profile profile assessment region of interest approximation optimization using preferences hybrid evolutionary approach forecasting Convolutional Neural Network LSTM COVID-19 deep learning trust region methods multiobjective descent derivative-free optimization radial basis functions fully linear models decision making process cognitive tasks recommender system project portfolio selection problem usability evaluation multi-objective portfolio optimization problem trapezoidal fuzzy numbers density estimators steady state algorithms protein structure prediction Hybrid Simulated Annealing Template-Based Modeling structural biology Metropolis optimization linear programming energy central |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557631003321 |
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Quiroz Marcela
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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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Smart Monitoring and Control in the Future Internet of Things
| Smart Monitoring and Control in the Future Internet of Things |
| Autore | Guerrieri Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
atmospheric
on-line monitoring LoRa embedded system smart environments Internet of Things indoor occupancy machine learning data analysis landslide susceptibility China-Nepal Highway LSTM remote sensing images IoT network traffic monitoring DDoS packet classification indoor localization channel state information device-free passive WiFi fingerprint naive Bayes classification feature fusion posture recognition indoor positioning wireless body area network Kalman filtering multi-sensor combination prognostic and health management integrative framework internet of things convolutional neural network conditioned-based maintenance IoT platform intelligent monitoring robot active CCTV learning model electrical devices classification energy management smart environment architecture blockchain communication constraints decentralized application Ethereum Internet of things sensing and control computational efficiency robotic manipulators hysteresis adaptive control wireless sensor network (WSN) energy ant colony optimization (ACO) routing algorithm quantum-inspired evolutionary algorithms |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557510403321 |
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Guerrieri Antonio
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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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Smart Sensors and Devices in Artificial Intelligence
| Smart Sensors and Devices in Artificial Intelligence |
| Autore | Zhang Dan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (336 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
microelectromechanical systems
inertial measurement unit long short term memory recurrent neural networks artificial intelligence deep learning CNN LSTM CO2 welding molten pool online monitoring mechanical sensor self-adaptiveness ankle-foot exoskeleton walking assistance visual tracking correlation filter color histogram adaptive hedge algorithm scenario generation autonomous vehicle smart sensor and device wireless sensor networks task assignment distributed reliable energy-efficient audification sensor visualization speech to text text to speech HF-OTH radar AIS radar tracking data fusion fuzzy functional dependencies maritime surveillance surgical robot end-effector clamping force estimation joint torque disturbance observer PSO-BPNN cable tension measurement queue length roadside sensor vehicle detection adverse weather roadside LiDAR data processing air pollution atmospheric data IoT machine learning RNN Sensors smart cities traffic flow traffic forecasting wireless sensor network fruit condition monitoring artificial neural network ethylene gas banana ripening unidimensional ACGAN signal recognition data augmentation link establishment behaviors DenseNet short-wave radio station landing gear adaptive landing vehicle classification FBG smart sensors outlier detection local outlier factor data streams air quality monitoring evacuation path multi-story multi-exit building temperature sensors multi-time-slots planning optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557128403321 |
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Zhang Dan
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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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