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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
| Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources |
| Autore | Sun Yiming |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2016 |
| Descrizione fisica | 1 online resource (XIII, 231 p. p.) |
| Collana | Karlsruher Forschungsberichte aus dem Institut für Hochleistungsimpuls- und Mikrowellentechnik |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
Bestärkendes Lernenmicrowave heating
Künstliches neuronales Netz Mehrgrößenregelung Mikrowellenerwärmung model predictive control (MPC) Modellprädiktive Regelung multiple-input multiple-output (MIMO) neural network reinforcement learning |
| ISBN | 1000051503 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346774803321 |
Sun Yiming
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| KIT Scientific Publishing, 2016 | ||
| 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
| 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 online resource (454 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
3D convolutional neural networks
3D imaging activity measure advanced driver assistance system (ADAS) anchor box artefacts artificial bee colony atrous convolution augmented reality automatic design benchmark bio-inspired techniques brain hemorrhage cascade classifier cascaded center-ness citrus CNN complex search request computer vision continuous casting convolution neural networks (CNNs) convolutional neural network convolutional neural networks cross-scale CT brain CT images data acquisition deep learning deep sort defect detection deformable localization drone detection evidence chains evolving connectionist systems fabric defect feature extraction feature fusion few shot learning focal loss generative adversarial network grow-when-required neural network hand gesture recognition hepatic cancer high-speed trains human-robot interaction Hungarian algorithm hunting image analysis image processing image recognition industrial environments information retriever sensor InSAR machine learning marine systems mixed kernels multi-hop reasoning multi-scale multi-sensor fusion n/a nearest neighbor filtering neural network non-stationary object detection object detector object tracking one-class classifier optical flows parameter efficiency pests and diseases identification pixel convolution pose estimation reinforcement learning RFI semantic segmentation ship classification ship radiated noise spatial pooling spatiotemporal interest points sports scene superalloy tool surface defects surface electromyography (sEMG) SVM synthetic images three-dimensional (3D) vision thresholding tool wear monitoring Traffic sign detection and tracking (TSDR) UAV detection UAV imagery underwater acoustics unmanned aerial vehicles vehicle detection vehicular traffic congestion vehicular traffic flow classification vehicular traffic flow detection video classification video surveillance visual detection visual inspection visual question answering Yolo YOLOv2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557360703321 |
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Woźniak Marcin
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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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Advances and Novel Approaches in Discrete Optimization
| Advances and Novel Approaches in Discrete Optimization |
| Autore | Werner Frank |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (354 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
ABC4 index
algorithm AND/OR tree approximation algorithm arithmetic mean balaban index batch scheduling batching scheduling bi-criteria scheduling bin packing branch and bound capacitated lot sizing combinatorial generation combinatorial optimization competitive ratio contraflow configuration crossing number cyclic permutation deep learning degree of vertex divisible numbers dual problem due-date dynamic flow dynamic programming embedded systems Euler-Catalan's triangle evacuation planning extended adjacency index forgotten index FPGA FPTAS GA5 index genetic algorithm graph Harris hawks optimizer HDN3(m) inventory inverse problem irregular 3D objects job families job-shop join product labeled Dyck path lateness linear deterioration LNS load frequency control logistic supports machine non-availability makespan makespan criterion Max-cut problem maximum machine cost meta-heuristics method minimization of maximum penalty mixed integer formulation n/a network optimization nonlinear optimization numerical conversion online algorithm operator non-availability packing partial lane reversals, algorithms and complexity particle swarm optimization pointer network quasi-phi-function s ranking algorithm reclassified the zagreb indices reinforcement learning release-time retail RHDN3(m) RISC scheduling scheduling algorithm scheduling with rejection sensitivity analysis shortages single-machine scheduling smart grid supervised learning THDN3(m) time complexity total weighted completion time Transportation unary NP-hard uncertain processing times unranking algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557686003321 |
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Werner Frank
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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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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 |
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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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Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes
| Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes |
| Autore | Gao Zhiwei |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (514 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
acetonitrile
additive white Gaussian noises (AWGN) association matrix behavior transfer belief statistic cascading failures CFSFDP algorithm close distance coal seams coarse model complex network theory condition monitoring constitutive model control chart control problem cumulative distribution function data-driven methods dead time deep deterministic policy gradient deep reinforcement learning deviation control distributed generation (DG) distributed model predictive control drilling machine energy conversion systems event-based EWT failure criterion fast Fourier transform (FFT) Fast-Newman algorithm fault classification fault diagnosis fault prognosis flexible flow shop flexible flow shop scheduling flotation process full-heat integration fuzzy logic gamma distribution goaf gob-side entry retaining by roof cutting graph theory hardware experiment Holmquist-Johnson-Cook constitutive model of briquette Hopfield neural network Hybrid Attack Graph improved compact genetic algorithm in-situ monitoring incomplete data INSGA-II Level-of-Resilience limited buffer link-addition strategy load identification local scheduling loop design memetic salp swarm algorithm microalgae MIMO temperature control in heating process system multi-input and multi-output system multi-input multi-output (MIMO) temperature system multi-linear principal component analysis (MPCA) multi-objective optimization multi-queue limited buffers multiscale fuzzy entropy n/a neutrosophic statistic non-pillar nonlinear adaptive backstepping controller disturbance observer numerical simulation oil and gas optimal nonlinear adaptive control parameter acquisition parameter uncertainties perturbation observer PID PNN pole-zero cancelation potential crowding distance power systems pressure swing distillation probability density function of the Gaussian distribution process control public buffer raceway reactive power optimization reagent dosage refrigeration reinforcement learning resilient control roadway supporting self-learning semiconductor bonding equipment-grouping method separation simulated annealing algorithm slow-mode-based control split Hopkinson pressure bar experiment stability state-action chains static and dynamic planning steam power plant steam/water loop stress distribution temperature difference temperature differences time series froth image topology transfer bees optimizer transient response tunnel boring machine uncorrelated multi-linear principal component analysis (UMPCA) variable geometry turbocharger voltage source converter water wind turbine wind turbine systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338303321 |
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Gao Zhiwei
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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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Advances in Intelligent Vehicle Control
| Advances in Intelligent Vehicle Control |
| Autore | Cabrera Juan A |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
3D multiple object detection
active air suspension ADAS binary linear programming binary quadratic programming controller area network curriculum learning cybersecurity deep learning discrete-time sliding-mode current control (DSMCC) disturbance observer design double lane change driver vehicle system dynamic SLAM electric vehicle (EV) electric vehicles electrical vehicles energy management environment perception EV charging scheduling GNSS receivers heterogeneous networking heterogeneous vehicular communication high efficiency image processing in-vehicle network inertial sensors intelligent mobility Internet of connected vehicles Internet of Things intrusion detection Kalman filter LQR controller machine learning model-based control motorcycle lean angle multiple object tracking n/a noninverting buck-boost converter nonlinear height control output constraints random road excitation reinforcement learning roll angle estimator RTK corrections safety optimization semantics sensor redundancy sim-to-real world transfer learning tyre thermodynamics tyre wear vehicle control vehicle dynamic potential vehicle localization vehicle safety vehicular ad hoc networks VMS weather influence wide bandwidth control |
| ISBN | 3-0365-6010-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637781703321 |
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Cabrera Juan A
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI and Financial Markets
| AI and Financial Markets |
| Autore | Hamori Shigeyuki |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico | Economics, Finance, Business and Management |
| Soggetto non controllato |
agent based simulation
algorithmic trading Artificial Intelligence artificial market asset allocation ATR autoencoder blockchain BlockCloud CAR regulation CfD community finances consensus algorithms contract for difference deep learning deep reinforcement learning economic policy exchange rates financial market simulation fiscal flexibility fundamentals hidden markov model individualized financial arrangements interpretability long short-term memory LSTM machine learning neural network neural networks portfolio prediction price momentum Q-learning random forest reinforcement learning RL simulation Stop Loss support vector machine sustainable financial services term structure of interest rates text mining topic model Turtle uncertainty yield curve |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557584903321 |
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Hamori Shigeyuki
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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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AI-Based Transportation Planning and Operation
| AI-Based Transportation Planning and Operation |
| Autore | Sohn Keemin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (124 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
artificial neural network
autoencoder automated vehicle black ice bottleneck and gridlock identification CNN context-awareness CycleGAN deep learning deep neural networks driving cycle dynamic pricing gridlock prediction link embedding link emission factors long short-term memory micro-level vehicle emission estimation MOVES prevention preventive automated driving system reachability analysis reinforcement learning ridesharing spatio-temporal data supply improvement taxi traffic accidents traffic flow centrality traffic speed prediction traffic volume urban road network vehicle counting vehicle GPS data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557486603321 |
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Sohn Keemin
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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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Autonomous Control of Unmanned Aerial Vehicles / Victor Becerra
| Autonomous Control of Unmanned Aerial Vehicles / Victor Becerra |
| Autore | Becerra Victor |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (270 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
super twisting sliding mode controller (STSMC)
monocular visual SLAM modulation bio-inspiration simulation horizontal control sensor fusion ADRC high-order sliding mode over-the-horizon air confrontation longitudinal motion model autonomous control real-time ground vehicle detection maneuver decision nonlinear dynamics UAV automatic landing harmonic extended state observer image processing General Visual Inspection actuator faults actuator fault remote sensing aerial infrared imagery agricultural UAV SC-FDM tilt rotors mass eccentricity wind disturbance decoupling algorithm adaptive discrete mesh disturbance super twisting extended state observer (STESO) heuristic exploration sliding mode control UAS Q-Network UAV communication system UAV reinforcement learning autonomous landing area selection peak-to-average power ratio (PAPR) slung load aircraft maintenance flight mechanics octree unmanned aerial vehicle convolutional neural network aircraft performance evaluation quadrotor vertical take off data link path planning coaxial-rotor fixed-time extended state observer (FTESO) multi-UAV system hardware-in-the-loop distributed swarm control vertical control |
| ISBN |
9783039210312
3039210319 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346692103321 |
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Becerra Victor
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning Applications with Practical Measured Results in Electronics Industries
| 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 online resource (272 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
A*
background model binary classification CNN compressed sensing computational intelligence content reconstruction convolutional network data fusion data partition deep learning digital shearography discrete wavelet transform dot grid target eye-tracking device faster region-based CNN forecasting foreign object GA gated recurrent unit generative adversarial network geometric errors geometric errors correction GSA-BP human computer interaction humidity sensor hyperspectral image classification image compression image inpainting image restoration imaging confocal microscope Imaging Confocal Microscope information measure instance segmentation intelligent surveillance intelligent tire manufacturing K-means clustering kinematic modelling lateral stage errors Least Squares method long short-term memory machine learning MCM uncertainty evaluation multiple constraints multiple linear regression multivariate temporal convolutional network multivariate time series forecasting neighborhood noise reduction network layer contribution neural audio caption neural networks neuro-fuzzy systems nonlinear optimization offshore wind optimization techniques oral evaluation recommender system reinforcement learning residual networks rigid body kinematics saliency information smart grid supervised learning tire bubble defects tire quality assessment trajectory planning transfer learning UAV underground mines unmanned aerial vehicle unsupervised learning update mechanism update occasion visual tracking |
| ISBN | 3-03928-864-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080403321 |
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Kung Hsu-Yang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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