Advances in Public Transport Platform for the Development of Sustainability Cities |
Autore | Corchado Juan M |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (346 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
Soggetto non controllato |
optimization models
timetable passenger waiting time vehicle occupancy ratio intelligent transportation systems demand prediction taxi recommendation vehicle social network ride-hailing urban rail transit (URT) exploratory data analysis (EDA) data envelopment analysis (DEA) sustainable transport systems intelligent transportation systems (ITS) big-data applications dynamic bus travel time prediction wide and deep data fusion attention recurrent neural network deep neural networks intelligent transportation railway CPS security safety critical infrastructure carsharing data analysis delays demand public transit taxi complex network analysis centrality measures network robustness ridership patterns clustering analysis passenger flow Barcelona underground artificial intelligence Big Data analytics forecasting systems recommender system Fintech passenger traffic artificial neural network regression analysis reputation algorithm users' reputation transport software application deep learning energy consumption sustainable cities transfer learning wastewater treatment plants unmanned aerial vehicles (UAVs) multi-objective optimization integer programming GLPK variable neighborhood search search and rescue learning recommender system learning object learning videos content-based collaborative filtering users' profiling data extraction natural language processing mapping application time series forecasting HTM regression machine intelligence cyber-attack detection IoT trust energy trading trusted negotiations |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566472003321 |
Corchado Juan M
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Remote Sensing for Global Forest Monitoring |
Autore | Tomppo Erkki |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (352 p.) |
Soggetto topico |
Research & information: general
Environmental economics |
Soggetto non controllato |
forest structure change
EBLUP small area estimation multitemporal LiDAR and stand-level estimates forest cover Sentinel-1 Sentinel-2 data fusion machine-learning Germany South Africa temperate forest savanna classification Sentinel 2 land use land cover improved k-NN logistic regression random forest support vector machine statistical estimator IPCC good practice guidelines activity data emissions factor removals factor Picea crassifolia Kom compatible equation nonlinear seemingly unrelated regression error-in-variable modeling leave-one-out cross-validation digital surface model digital terrain model canopy height model constrained neighbor interpolation ordinary neighbor interpolation point cloud density stereo imagery remotely sensed LAI field measured LAI validation magnitude uncertainty temporal dynamics state space models forest disturbance mapping near real-time monitoring CUSUM NRT monitoring deforestation degradation tropical forest tropical peat forest type deep learning FCN8s CRFasRNN GF2 dual-FCN8s random forests error propagation bootstrapping Landsat LiDAR La Rioja forest area change data assessment uncertainty evaluation inconsistency forest monitoring drought time series satellite data Bowen ratio carbon flux boreal forest windstorm damage synthetic aperture radar C-band genetic algorithm multinomial logistic regression |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557338103321 |
Tomppo Erkki
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Remote Sensing-based Disaster Monitoring and Assessment |
Autore | Im Jungho |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (232 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
wildfire
satellite vegetation indices live fuel moisture empirical model function Southern California chaparral ecosystem forest fire forest recovery satellite remote sensing vegetation index burn index gross primary production South Korea land subsidence PS-InSAR uneven settlement building construction Beijing urban area floodplain delineation inaccessible region machine learning flash flood risk LSSVM China Himawari-8 threshold-based algorithm remote sensing dryness monitoring soil moisture NIR-Red spectral space Landsat-8 MODIS Xinjiang province of China SDE PE groundwater level compressible sediment layer tropical cyclone formation WindSat disaster monitoring wireless sensor network debris flow anomaly detection deep learning accelerometer sensor total precipitable water Himawari-8 AHI random forest deep neural network XGBoost |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557765003321 |
Im Jungho
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming |
Autore | Qiao Yongliang |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (228 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
pig weight
body size estimation deep learning convolutional neural network pig identification mask scoring R-CNN soft-NMS group-housed pigs audio dairy cow mastication jaw movement forage management precision livestock management equine behavior wearable sensor intermodality interaction class-balanced focal loss absorbing Markov chain cow behavior analysis prediction of calving time cow identification EfficientDet YOLACT++ cascaded model instance segmentation generative adversarial network machine learning automated medical image processing deep neural network animal science CT scans computer vision cow extensive livestock sensorized wearable device monitoring parturition prediction radar sensors radar signal processing animal farming computational ethology signal classification wavelet analysis dairy welfare hierarchical clustering mutual information precision livestock farming time budgets unsupervised machine learning wearables design animal-centered design animal telemetry modularity smart collar design contributions additive manufacturing low-frequency tracking commercial aviary laying hens false registrations tree-based classifier animal behaviour |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576879803321 |
Qiao Yongliang
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Vehicular Networks |
Autore | Masini Barbara Mavì |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (138 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
vehicular networks
5G C-RAN resource allocation edge computing optimization vehicle-to-everything communication pedestrian vehicles safety automotive damper convolutional neural networks fault detection diagnosis machine learning deep learning connected vehicles reconfigurable meta-surface smart environment cooperative driving vulnerable road user detection collision probability probabilistic flooding vehicular communication visible light communications 5G networks smart vehicles field trials infrastructure-to-vehicle vehicle-to-vehicle Intelligent Transportation Systems Visible Light Communication Fresnel lenses AODV end-to-end delay packet loss ratio throughput VANET |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557786803321 |
Masini Barbara Mavì
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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AI and Financial Markets |
Autore | Hamori Shigeyuki |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (230 p.) |
Soggetto topico | Economics, finance, business & management |
Soggetto non controllato |
algorithmic trading
Stop Loss Turtle ATR community finances fiscal flexibility individualized financial arrangements sustainable financial services price momentum hidden markov model asset allocation blockchain BlockCloud Artificial Intelligence consensus algorithms exchange rates fundamentals prediction random forest support vector machine neural network deep reinforcement learning financial market simulation agent based simulation artificial market simulation CAR regulation portfolio contract for difference CfD reinforcement learning RL neural networks long short-term memory LSTM Q-learning deep learning uncertainty economic policy text mining topic model yield curve term structure of interest rates machine learning autoencoder interpretability |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557584903321 |
Hamori Shigeyuki
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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AI in Learning: Designing the Future / / edited by Hannele Niemi, Roy D. Pea, Yu Lu |
Autore | Niemi Hannele |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham, : Springer Nature, 2023 |
Descrizione fisica | 1 online resource (XXV, 344 p. 49 illus., 42 illus. in color.) |
Disciplina | 150 |
Soggetto topico |
Psychology
Social sciences—Data processing Education Cognitive science Teaching Artificial intelligence Behavioral Sciences and Psychology Computer Application in Social and Behavioral Sciences Cognitive Science Pedagogy Artificial Intelligence Intel·ligència artificial Ensenyament Aprenentatge Educació Ètica Aprenentatge automàtic |
Soggetto genere / forma | Llibres electrònics |
Soggetto non controllato |
artificial intelligence
life-long learning tutoring virtual learning learning analytics well-being simulations games intelligent digital tools deep learning robotics human-machine interaction |
ISBN | 3-031-09687-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1.Introduction to AI in Learning – Designing the Future -- Part I: AI expanding learning and wellbeing throughout life -- 2.Artificial Intelligence Innovations for Multimodal Learning, Interfaces, and Analytics -- 3.Curiosity and Interactive Learning in Artificial Systems -- 4.Assessing and Tracking Students’ Wellbeing through an Automated Scoring System: Schoolday Wellbeing Model -- 5.Learning from Intelligent Social Agents as Social and Intellectual Mirrors -- 6.An AI-Powered Teacher Assistant for Student Problem Behavior Diagnosis -- 7.Analysis and Improvement of Classroom Teaching Based on Artificial Intelligence -- Part II. AI in Games and Simulations -- 8.Perspectives and Metaphors of Learning: A Commentary on James Lester’s Narrative-centered AI-based Environments -- 9.Learning Career Knowledge: Can AI Simulation and Machine Learning Improve Career Plans and Educational Expectations? -- 10.Learning clinical reasoning through gaming in nursing education – Future scenarios of game metrics and AI -- 11.AI-Supported Simulation-Based Learning: Learners’ Emotional Experiences and Self-Regulation in Challenging Situations -- Part III. AI Technologies for education and Intelligent Tutoring Systems -- 12.Training Hard Skills in Virtual Reality: Developing a Theoretical Framework for AI-based Immersive Learning.-13.Multiple users’ experiences of an AI-aided educational platform for teaching and learning. 14.Deep Learning in Automatic Math Word Problem Solvers. 15.Recent Advances in Intelligent Textbooks for Better Learning -- Part IV. AI and Ethical Challenges in New Learning Environments -- 16.Ethical Guidelines for Artificial Intelligence-based Learning: A Transnational Study between in China and Finland -- 17.Artificial Intelligence Ethics from the Perspective of Educational Technology Companies and Schools -- 18.Artificial Intelligence in Education as a Rawlsian Massively Multiplayer Game: A thought experiment on AI Ethics -- 19.Four surveillance technologies creating challenges for education -- 20.Reflections on the contributions and future scenarios in AI-based learning. |
Record Nr. | UNINA-9910632469503321 |
Niemi Hannele
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Cham, : Springer Nature, 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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AI-Based Transportation Planning and Operation |
Autore | Sohn Keemin |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (124 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
autoencoder
deep learning traffic volume vehicle counting CycleGAN bottleneck and gridlock identification gridlock prediction urban road network long short-term memory link embedding traffic speed prediction traffic flow centrality reachability analysis spatio-temporal data artificial neural network context-awareness dynamic pricing reinforcement learning ridesharing supply improvement taxi preventive automated driving system automated vehicle traffic accidents deep neural networks vehicle GPS data driving cycle micro-level vehicle emission estimation link emission factors MOVES black ice CNN prevention |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557486603321 |
Sohn Keemin
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Algorithms in Decision Support Systems |
Autore | García-Díaz Vicente |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (162 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
semi-supervised learning
transfer learning radar emitter decision support systems population health management big data machine learning deep learning personalized patient care Nonlinear regression interactive platform component-based approach software architecture Eclipse-RCP (Rich Client Platform) spatial prediction rule-based expert systems tennis hitting technique computer algebra systems Groebner bases Boolean logic data envelopment analysis dimensionality reduction ensembles exhaustive state space search entropy associative classification class association rule vertical data representation classification algorithm evaluation parallel algorithms multi-objective optimization train rescheduling very large-scale decision support systems very large-scale data and program cores of information systems meta-database teleological meta-database thematic list indicators list computational methods list geographically dispersed systems external sources |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557109603321 |
García-Díaz Vicente
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods |
Autore | Kim Cheonshik |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (196 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
data hiding
AMBTC BTC Hamming code LSB predicate encryption inner product encryption constant-size private key efficient decryption constant pairing computations watermarking self-embedding digital signature fragile watermarking constrained backtracking matching pursuit sparse reconstruction compressed sensing greedy pursuit algorithm image processing visual surveillance deep learning object detection latency optimization mobile edge cloud connected autonomous cars smart city video surveillance physical layer security secure transmission secrecy capacity secrecy capacity optimization artificial noise power allocation channel estimation error neural network transfer learning scalograms MFCC Log-mel pre-trained models seismic patch classification CNN-features data complexity handwritten text recognition Residual Network Transformer model named entity recognition |
ISBN | 3-0365-5394-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619469803321 |
Kim Cheonshik
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MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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