Deep Learning Applications with Practical Measured Results in Electronics Industries |
Autore | Kung Hsu-Yang |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (272 p.) |
Soggetto non controllato |
faster region-based CNN
visual tracking intelligent tire manufacturing eye-tracking device neural networks A* information measure oral evaluation GSA-BP tire quality assessment humidity sensor rigid body kinematics intelligent surveillance residual networks imaging confocal microscope update mechanism multiple linear regression geometric errors correction data partition Imaging Confocal Microscope image inpainting lateral stage errors dot grid target K-means clustering unsupervised learning recommender system underground mines digital shearography optimization techniques saliency information gated recurrent unit multivariate time series forecasting multivariate temporal convolutional network foreign object data fusion update occasion generative adversarial network CNN compressed sensing background model image compression supervised learning geometric errors UAV nonlinear optimization reinforcement learning convolutional network neuro-fuzzy systems deep learning image restoration neural audio caption hyperspectral image classification neighborhood noise reduction GA MCM uncertainty evaluation binary classification content reconstruction kinematic modelling long short-term memory transfer learning network layer contribution instance segmentation smart grid unmanned aerial vehicle forecasting trajectory planning discrete wavelet transform machine learning computational intelligence tire bubble defects offshore wind multiple constraints human computer interaction Least Squares method |
ISBN | 3-03928-864-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404080403321 |
Kung Hsu-Yang
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) |
Autore | Tang Bo |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (344 p.) |
Soggetto non controllato |
FPGA
recurrence plot (RP) residual learning neural networks driver monitoring navigation depthwise separable convolution optimization dynamic path-planning algorithms object tracking sub-region cooperative systems convolutional neural networks DSRC VANET joystick road scene convolutional neural network (CNN) multi-sensor p-norm occlusion crash injury severity prediction deep leaning squeeze-and-excitation electric vehicles perception in challenging conditions T-S fuzzy neural network total vehicle mass of the front vehicle electrocardiogram (ECG) communications generative adversarial nets camera adaptive classifier updating Vehicle-to-X communications convolutional neural network predictive Geobroadcast infinity norm urban object detector machine learning automated-manual transition red light-running behaviors photoplethysmogram (PPG) panoramic image dataset parallel architectures visual tracking autopilot ADAS kinematic control GPU road lane detection obstacle detection and classification Gabor convolution kernel autonomous vehicle Intelligent Transport Systems driving decision-making model Gaussian kernel autonomous vehicles enhanced learning ethical and legal factors kernel based MIL algorithm image inpainting fusion terrestrial vehicle driverless drowsiness detection map generation object detection interface machine vision driving assistance blind spot detection deep learning relative speed autonomous driving assistance system discriminative correlation filter bank recurrent neural network emergency decisions LiDAR real-time object detection vehicle dynamics path planning actuation systems maneuver algorithm autonomous driving smart band the emergency situations two-wheeled support vector machine model global region biological vision automated driving |
ISBN | 3-03921-376-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Machine Learning and Embedded Computing in Advanced Driver Assistance Systems |
Record Nr. | UNINA-9910367757403321 |
Tang Bo
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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New types of Neutrosophic Set/Logic/Probability, Neutrosophic Over-/Under-/Off-Set, Neutrosophic Refined Set, and their Extension to Plithogenic Set/Logic/Probability, with Applications |
Autore | Smarandache Florentin |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (714 p.) |
Soggetto non controllato |
nonstandard neutrosophic supremum
classical statistics complex neutrosophic set neutrosophic offnorm neutrosophic extended triplet group multi-attribute decision-making (MADM) neutrosophic time series refined neutrosophic quadruple numbers BNHHA aggregation operator neutrosophic offconorm monad matrix representation left monad closed to the right implicator neutrsophic set neutrosophic correlation neutrosophic cubic sets decision-making MoBiNad set open and closed monads to the left/right distance measure De Morgan neutrosophic triples group decision making financial assets soft expert set uninorm multi-attribute group decision making sampling plan cubic sets neutrosophic cubic ordered weighted geometric operator (NCOWG) shale gas water management system weighted average operator aggregation operations quality function deployment Einstein t-norm neutrosophic rings non-standard neutrosophic topology BNHWA aggregation operator hypergroup triangular neutrosophic cubic fuzzy number pierced and unpierced binads numerical application neutrosophic cubic weighted geometric operator (NCWG) relations extended nonstandard analysis arithmetic averaging operator nonstandard reals Choquet integral Function approximation neutrosophic triangular norms weighted geometric operator neutrosophic regression optimization solution ordinary single valued neutrosophic neighborhood system smart port neutrosophic topology multi-criteria decision making techniques low-carbon supplier selection producer’s risk quasi-completely regular semigroup score function MAGDM multicriteria decision-making neutrosophic soft rough NET-hypergroup refined neutrosophic numbers neutrosophic logical relationship groups combined weighted average TOPSIS neutrosophic logical relationship logarithmic aggregation operators non-standard analysis multi-attribute decision-making neutrosophic extended triplet semihypergroup (NET-semihypergroup) aggregation nonstandard neutrosophic logic symmetric relation uncertainty modeling single valued neutrosophic sets BNHOWA aggregation operator ordinary single valued neutrosophic subspace generalized neutrosophic extended triplet group multi-attribute decision making ordinary single valued neutrosophic base nonstandard arithmetic operations pierced binad MCGDM problems simplified neutrosophic set residuated lattices Neutrosophic compound orthogonal neural network rough set approximation single-valued neutrosophic linguistic set binad multi-granulation neutrosophic rough set single valued neutrosophic set infinitesimals standard reals soft set non-standard neutrosophic mobinad set certainty function neutrosophic weight two universes sample size n-person cooperative game paper defect diagnosis performance indicators semihypergroup logarithmic operational laws right monad closed to the left idempotents unpierced binad neutrosophic cubic hybrid weighted arithmetic and geometric aggregation operator (NCHWAGA) neutrosophic symmetric scenarios extended nonstandard neutrosophic logic neutrosophic statistics neutrosophic goal programming approach neutrosophic offset neutrosophic statistical interval method weighted multiple instance learning neutrosophic cubic Einstein ordered weighted geometric operator (NCEOWG) fuzzy parameterized single valued neutrosophic soft expert set single-valued neutrosophic soft number and its operations Internet of Things extended non-standard analysis dietary fat level soft sets visual tracking neutrosophic offuninorm neutrosophic cubic Einstein weighted geometric operator (NCEWG) ordinary single valued neutrosophic subbase membership function non-dual SVN soft weighted arithmetic averaging operator Q-neutrosophic set neutrosophic sets fuzzy numbers intuitionistic fuzzy parameters producer’s risk’ graph representation exponential similarity measure infinities maximizing deviation Multi-attribute decision making SVN soft weighted geometric averaging operator objectness Q-neutrosophic soft set accuracy function consumer’s risk decision making Neutrosophic number clifford semigroup neutrosophic numbers neutrosophic residual implications nonstandard neutrosophic lattices of first type (as poset) and second type (as algebraic structure) covering e-marketing nonstandard analysis neutrosophic quadruple rings complex neutrosophic soft expert set single-valued neutrosophic set neutrosophic cubic soft expert system neutrosophic cubic soft sets triangular neutrosophic number supply chain sustainability metrics neutrosophic quadruple numbers ?-level nonstandard neutrosophic infimum infinitely ?-distributive plithogeny neutrosophic set fuzzy logic prospector Neutrosophic function representable neutrosophic t-norms probabilistic neutrosophic hesitant fuzzy set (PNHFS) prostate cancer nonstandard unit interval port evaluation simplified neutrosophic hesitant fuzzy set ordinary single valued neutrosophic (co)topology |
ISBN | 3-03921-939-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367741303321 |
Smarandache Florentin
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 |
Zhang Dan
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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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UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments |
Autore | Gonzalez Toro Felipe |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (388 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
UAV
landing optical flow video navigation Kalman filter coastal mapping coastal monitoring Digital Elevation Models (DEMs) geomorphological evolution photogrammetry Structure-from-Motion (SfM) Unmanned Aerial Vehicles (UAVs) snow mapping UAS remote sensing direct georeferencing snow field snow-covered area snow depth water level changes UAV photogrammetry tidal phase GNSS Kilim River unmanned aerial vehicles UAV swarms visual detection visual tracking machine vision deep learning YOLO laser guidance emergency landing particle filter change detection convolutional neural networks moving camera image alignment multirotor ground effect sensor faults UAV imagery bundle block adjustment digital surface model orthomosaic data collection accuracy technical guidelines DSM assessment backpack mobile mapping underground cellars unmanned aerial vehicle unmanned aerial system vision-based navigation search and rescue vision and action OODA inspection target detection autonomous localization 3D registration GPS-denied environment real-time multi-robot bioinspired map topologic mapping map exploration onboard GNSS RTK UAS traffic management multiple UAV navigation navigation in GPS/GNSS-denied environments distributed state estimation consensus theory computer architecture decision making navigation semantics aerial systems applications, inspection robotics, bridge inspection with UAS POMDP Deep Reinforcement-Learning multi-agent search |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557343503321 |
Gonzalez Toro Felipe
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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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