AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) / / Kuan-Chuan Peng, Ziyan Wu |
Autore | Peng Kuan-Chuan |
Pubbl/distr/stampa | Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022 |
Descrizione fisica | 1 electronic resource (186 p.) |
Disciplina | 006.3 |
Soggetto topico |
Technology: general issues
Artificial intelligence History of engineering & technology |
Soggetto non controllato |
permutation equivariance
optimization gender bias fairness face-recognition models facial attributes social bias bias detection natural language processing temporal bias forecasting contrastive learning supervised contrastive learning transfer learning robustness noisy labels coresets deep learning contextualized embeddings out-of-distribution generalization |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | About the Editors -- Statement of Peer Review -- Electricity Consumption Forecasting for Out-of-Distribution Time-of-Use Tariffs -- Measuring Embedded Human-Like Biases in Face Recognition Models -- Measuring Gender Bias in Contextualized Embeddings -- The Details Matter: Preventing Class Collapsein Supervised Contrastive Learning -- DAP-SDD: Distribution-Aware Pseudo Labeling for Small Defect Detection -- Quantifying Bias in a Face -- Verification System -- Super-Resolution for Brain MR Images from a Significantly Small Amount of Training Data -- Dual Complementary Prototype Learning for Few-Shot Segmentation -- Extracting Salient Facts from Company Reviews with Scarce Labels -- Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data -- Age Should Not Matter: -- Towards More Accurate Pedestrian Detection via Self-Training. |
Altri titoli varianti | AAAI Workshop on Artificial Intelligence with Biased or Scarce Data |
Record Nr. | UNINA-9910585937403321 |
Peng Kuan-Chuan | ||
Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Adsorption Desalination and Cooling Systems: Advances in Design, Modeling and Performance |
Autore | Krzywanski Jaroslaw |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (260 p.) |
Soggetto topico |
Technology: general issues
Chemical engineering |
Soggetto non controllato |
adsorption chiller
coefficient of performance desalination energy efficiency low-temperature heat silica gel specific cooling power waste heat recovery sorption processes deep learning neural networks Long Short-Term Memory (LSTM) additives sorption capacity sorption process time kinetics sorption adsorption exergy dead state adsorption cooling reheat cycle, mass recovery chiller adsorptive water harvesting from the atmosphere metal-organic frameworks MIL-160 water vapor adsorption specific water productivity specific energy consumption zeolite SAPO-34 mass recovery variable mode adsorption working pairs coated beds comparative analysis natural refrigerants preheating steam copper cycle time CFD metal organic silica nanocomposites sorption thermal diffusivity |
ISBN | 3-0365-5914-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Adsorption Desalination and Cooling Systems |
Record Nr. | UNINA-9910637784303321 |
Krzywanski Jaroslaw | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments |
Autore | Woźniak Marcin |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (454 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
Traffic sign detection and tracking (TSDR)
advanced driver assistance system (ADAS) computer vision 3D convolutional neural networks machine learning CT brain brain hemorrhage visual inspection one-class classifier grow-when-required neural network evolving connectionist systems automatic design bio-inspired techniques artificial bee colony image analysis feature extraction ship classification marine systems citrus pests and diseases identification convolutional neural network parameter efficiency vehicle detection YOLOv2 focal loss anchor box multi-scale deep learning neural network generative adversarial network synthetic images tool wear monitoring superalloy tool image recognition object detection UAV imagery vehicular traffic flow detection vehicular traffic flow classification vehicular traffic congestion video classification benchmark semantic segmentation atrous convolution spatial pooling ship radiated noise underwater acoustics surface electromyography (sEMG) convolution neural networks (CNNs) hand gesture recognition fabric defect mixed kernels cross-scale cascaded center-ness deformable localization continuous casting surface defects 3D imaging defect detection object detector object tracking activity measure Yolo deep sort Hungarian algorithm optical flows spatiotemporal interest points sports scene CT images convolutional neural networks hepatic cancer visual question answering three-dimensional (3D) vision reinforcement learning human-robot interaction few shot learning SVM CNN cascade classifier video surveillance RFI artefacts InSAR image processing pixel convolution thresholding nearest neighbor filtering data acquisition augmented reality pose estimation industrial environments information retriever sensor multi-hop reasoning evidence chains complex search request high-speed trains hunting non-stationary feature fusion multi-sensor fusion unmanned aerial vehicles drone detection UAV detection visual detection |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557360703321 |
Woźniak Marcin | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advanced Computational Methods for Oncological Image Analysis |
Autore | Rundo Leonardo |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (262 p.) |
Soggetto topico | Medicine |
Soggetto non controllato |
melanoma detection
deep learning transfer learning ensemble classification 3D-CNN immunotherapy radiomics self-attention breast imaging microwave imaging image reconstruction segmentation unsupervised machine learning k-means clustering Kolmogorov-Smirnov hypothesis test statistical inference performance metrics contrast source inversion brain tumor segmentation magnetic resonance imaging survey brain MRI image tumor region skull stripping region growing U-Net BRATS dataset incoherent imaging clutter rejection breast cancer detection MRgFUS proton resonance frequency shift temperature variations referenceless thermometry RBF neural networks interferometric optical fibers breast cancer risk assessment machine learning texture mammography medical imaging imaging biomarkers bone scintigraphy prostate cancer semisupervised classification false positives reduction computer-aided detection breast mass mass detection mass segmentation Mask R-CNN dataset partition brain tumor classification shallow machine learning breast cancer diagnosis Wisconsin Breast Cancer Dataset feature selection dimensionality reduction principal component analysis ensemble method |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557353503321 |
Rundo Leonardo | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advanced Control and Estimation Concepts, and New Hardware Topologies for Future Mobility |
Autore | Assadian Francis F |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (236 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
independent-wheel drive
steering assistance nonlinear system active disturbance rejection control smooth road feeling city bus transport electric vehicles electrification software tool planning control charging management simulation analysis energy management hybrid electric vehicle powertrain electrification equivalent consumption minimization supercharging hardware-in-the-loop experiments driving force distribution decentralized traction system 4WD electric vehicle energy efficiency traction control efficiency optimization air mobility fuel cell hybrid aircraft stochastic optimal control drift counteraction optimal control normal force estimation unbiased minimum variance estimation controller output observer youla parameterization adaptive cruise control automated driving energy-saving fuel-saving optimal control passenger comfort new energy vehicles speed prediction macroscopic traffic model traffic big-data deep learning vehicle lateral dynamic and control unresolved issues application of speed prediction electric vehicle hybrid vehicle lithium ion ultracapacitor battery aging EHB EMB EWB system modeling bond graph optimization control design Youla parameterization robust control nonlinear optimization brake-by-wire actuator electro-mechanical brake electronic wedge brake electro-hydraulic brake |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566481303321 |
Assadian Francis F | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images |
Autore | Bazi Yakoub |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (438 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
synthetic aperture radar
despeckling multi-scale LSTM sub-pixel high-resolution remote sensing imagery road extraction machine learning DenseUNet scene classification lifting scheme convolution CNN image classification deep features hand-crafted features Sinkhorn loss remote sensing text image matching triplet networks EfficientNets LSTM network convolutional neural network water identification water index semantic segmentation high-resolution remote sensing image pixel-wise classification result correction conditional random field (CRF) satellite object detection neural networks single-shot deep learning global convolution network feature fusion depthwise atrous convolution high-resolution representations ISPRS vaihingen Landsat-8 faster region-based convolutional neural network (FRCNN) single-shot multibox detector (SSD) super-resolution remote sensing imagery edge enhancement satellites open-set domain adaptation adversarial learning min-max entropy pareto ranking SAR Sentinel–1 Open Street Map U–Net desert road infrastructure mapping monitoring deep convolutional networks outline extraction misalignments nearest feature selector hyperspectral image classification two stream residual network Batch Normalization plant disease detection precision agriculture UAV multispectral images orthophotos registration 3D information orthophotos segmentation wildfire detection convolutional neural networks densenet generative adversarial networks CycleGAN data augmentation pavement markings visibility framework urban forests OUDN algorithm object-based high spatial resolution remote sensing Generative Adversarial Networks post-disaster building damage assessment anomaly detection Unmanned Aerial Vehicles (UAV) xBD feature engineering orthophoto unsupervised segmentation |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557747903321 |
Bazi Yakoub | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advanced Intelligent Control through Versatile Intelligent Portable Platforms |
Autore | Vladareanu Luige |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (322 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
Passive Brain Signals
adaptive automation and controller EOG artifact independent component analysis engagement index lower limb rehabilitation robot motion intention acquisition static torque sensor quadcopter drone pollutant carbon air monitoring kernel cyber-physical systems intelligent cyber enterprise systems interface user experience accessibility autism spectrum disorder game-based learning systematic literature review exoskeleton hand fractional order model control human–robot interaction training task multi-sensor system quantum particle swarm optimization support vector machines microinjection sensor PDMS capillary micro-wire picolitre volume measurement MPWM microfluidic transport β-Ga2O3 nanowires oxidation silver catalyst electrical conductivity photodetector automatic distortion rectification wide-angle lens fish-eye lens advanced driver-assistance system (ADAS) video-surveillance vision tasks connected bike smart technologies IoT personalized training embedded back-end front-end Android modules MQTT monitoring 3D scanning 3D shape reconstruction RGB-D sensors imperfect data hybrid neural networks computer vision deep learning convolutional neural networks advanced intelligent control facial emotion recognition face recognition NAO robot critical infrastructures positioning system optical measurements fiducial markers adaptive kalman measurement fusion software sensor data machine-learning classifier smartphone security intelligent control robot control intelligent sensor systems intelligent decision support systems versatile intelligent portable platforms new technologies adaptive sensor networks virtual and augmented reality intelligent remote control and communication |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557530303321 |
Vladareanu Luige | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advanced Methods of Power Load Forecasting |
Autore | García-Díaz J. Carlos |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (128 p.) |
Soggetto topico |
Research & information: general
Physics |
Soggetto non controllato |
Prophet model
Holt–Winters model long-term forecasting peak load prophet model multiple seasonality time series demand load forecast DIMS irregular galvanizing short-term electrical load forecasting machine learning deep learning statistical analysis parameters tuning CNN LSTM short-term load forecast Artificial Neural Network deep neural network recurrent neural network attention encoder decoder online training bidirectional long short-term memory multi-layer stacked neural network short-term load forecasting power system |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576883403321 |
García-Díaz J. Carlos | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids |
Autore | Hernández-Callejo Luis |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (366 p.) |
Soggetto topico |
Research & information: general
Physics |
Soggetto non controllato |
wind turbine
electric generator spectral analysis fault diagnosis photovoltaic power forecasting data-driven deep learning variational autoencoders RNN angle swinging grid frequency oscillations electromechanical system inertial masses microgrids coordination protection distributed generation photovoltaic resources DigSILENT photovoltaic module defect detection power plant efficiency thermal image photovoltaic aging dark I-V curves bidirectional power inverter online distributed measurement of dark I-V curves sustainability compressive strength Bolomey formula sustainable concrete glass powder solar cell solar panel parameter extraction analytical Lambert W-function spacecraft solar panels I-V curve modeling wind power non-conventional renewable energy forecasting energy bands combinatorial optimization deep learning (DL) unmanned aerial vehicle (UAV) photovoltaic (PV) systems image-processing image segmentation semantic segmentation faults diagnostic artificial intelligence unbalanced datasets synthetic data artificial neural network based MPPT hybrid boost converter renewable energies solar power system microgrid control system storage system primary control photovoltaic (PV) plants coverage path planning (CPP) corrosion monitoring FPGA offshore wind turbines ultrasound thickness loss SCADA visualisation software wind-turbine windfarm cross-platform HMI GUI corrosion monitoring photovoltaic systems expected energy models fleet-scale lasso regression performance modeling machine learning fault location in photovoltaic arrays failure modes simulation fault detection criterion adaptive protection distributed power generation power distribution power system protection |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566457603321 |
Hernández-Callejo Luis | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast |
Autore | Gómez Vela Francisco A |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (100 p.) |
Soggetto topico |
Research & information: general
Technology: general issues |
Soggetto non controllato |
deep learning
energy demand temporal convolutional network time series forecasting time series forecasting exponential smoothing electricity demand residential building energy efficiency clustering decision tree time-series forecasting evolutionary computation neuroevolution photovoltaic power plant short-term forecasting data processing data filtration k-nearest neighbors regression autoregression |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557776003321 |
Gómez Vela Francisco A | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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