Info
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 |
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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Advanced Intelligent Control through Versatile Intelligent Portable Platforms
| 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 online resource (322 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D scanning
3D shape reconstruction accessibility adaptive automation and controller adaptive kalman adaptive sensor networks advanced driver-assistance system (ADAS) advanced intelligent control air monitoring Android autism spectrum disorder automatic distortion rectification back-end carbon computer vision connected bike control convolutional neural networks critical infrastructures cyber-physical systems deep learning drone electrical conductivity embedded engagement index EOG artifact exoskeleton hand face recognition facial emotion recognition fiducial markers fish-eye lens fractional order model front-end game-based learning human-robot interaction hybrid neural networks imperfect data independent component analysis intelligent control intelligent cyber enterprise intelligent decision support systems intelligent remote control and communication IoT kernel lower limb machine-learning classifier measurement fusion micro-wire microinjection sensor modules monitoring motion intention acquisition MPWM microfluidic transport MQTT multi-sensor system nanowires NAO robot new technologies optical measurements oxidation Passive Brain Signals PDMS capillary personalized training photodetector picolitre volume measurement pollutant positioning system quadcopter quantum particle swarm optimization rehabilitation robot RGB-D sensors robot control intelligent sensor systems silver catalyst smart technologies smartphone security software sensor data static torque sensor support vector machines systematic literature review systems interface training task user experience versatile intelligent portable platforms video-surveillance virtual and augmented reality vision tasks wide-angle lens β-Ga2O3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557530303321 |
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Vladareanu Luige
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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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Advanced Machine Learning Applications in Big Data Analytics
| Advanced Machine Learning Applications in Big Data Analytics |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (654 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
1D quadratic chaotic system
adaptive learning adversarial attacks ARMA attentional mechanisms BaaS system bagging model behavior detection blockchain consensus algorithm border patrol BP butterfly optimization algorithm capacitated vehicle routing planning CBAM CBCFI classification algorithms cloud clustering algorithms CNN color image combined prediction model community clustering complementary ensemble empirical mode decomposition (CEEMD) composite multi-scale dispersion entropy computer vision concept drift confidentiality management convolutional neural networks coupled map lattice COVID-19 crisscross search data stream mining deep belief network deep feature deep learning design science research differential evolution digital archives disease classification DNA coding DNA computing DNA sequences design document classification dual-update strategy ELM embedding propagation emotion-cause pair extraction energy storage error coefficient event extraction event trigger words event type extreme learning machine fault diagnosis feature selection financial time series forecasting flight safety forecasting forex GA generative adversarial network global optimization GM graph attention network graph convolutional network graph neural network gravity search hash function health Hemerocallis citrina Baroni heterogeneous graph hierarchical clustering hierarchical model high-plateau flight hybrid model hyperspectral image classification image classification image encryption improved matrix particle swarm optimization algorithm (IMPSO) incremental learning information system information systems infrared Jaccard distance KNN least squares method lightweight neural networks long short-term memory network machine learning maturity detection mean absolute error mean-semivariance model membership grade meta-heuristic model predictive control multi-behavior recommendation multi-strategy MultiRocket n/a neural architecture search neural networks NLP object detection online learning opposition-based learning output optimization overseas Chinese associations particle swarm optimization peak shaving and frequency regulation performance analysis pilot abnormal behavior pixel level polymorphic mapping portfolio optimization principal component analysis PROPHET PSO quantum dynamics quick access recorder random replacement ridge regression saving mileage sequential recommendation service level agreement short-term traffic-flow forecasting signal-to-noise ratio distance sliding window spatial-temporal systems splicing model stacking model stock announcement news stock return support vector machine support vector machine swarm intelligence support vector machines swarm intelligence talent stability prediction target detection time series time series classification tomato leaf traffic flow forecasting transaction priority variational mode decomposition warning system whale optimization algorithm YOLOv4 algorithm YOLOv5 algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743276603321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021
| Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021 |
| Autore | Choras Michal |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (268 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
pointer instrumentation
image processing object detection K-fold cross-validation Faster-RCNN vein detection digital image processing correlation displacement measurement semantic segmentation farmland vacancy segmentation strip pooling crop growth assessment encoder-decoder monotone curve tangent circle adjacent circle area of location of the curve contour fingerprinting malware analysis malicious network traffic analysis HTTP protocol analysis pcap file analysis malware tracking malware identification graph theory smart meter smart metering wireless sensor network interpolation tangent line curvature error ellipse B-spline dynamic dedicated path protection generic Dijkstra algorithm elastic optical network modulation constraints ECG signal classification PTB-XL deep learning computer vision adversarial attacks adversarial defences image quality assessment stitched images panoramic images image analysis image entropy NetFlow network intrusion detection network behavior analysis data quality feature selection fronthaul Xhaul DSB-RFoF A-RoF B5G 6G DIPP optical channel selection |
| ISBN | 3-0365-5314-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619471903321 |
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Choras Michal
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
| Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
| Autore | Berthold Michael |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
| Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
| ISBN | 3-030-44584-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
| Record Nr. | UNISA-996418219903316 |
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Berthold Michael
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming
| 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 online resource (228 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
absorbing Markov chain
additive manufacturing animal behaviour animal farming animal science animal telemetry animal-centered design audio automated medical image processing body size cascaded model class-balanced focal loss commercial aviary computational ethology computer vision convolutional neural network cow cow behavior analysis cow identification CT scans dairy cow dairy welfare deep learning deep neural network design contributions EfficientDet equine behavior estimation extensive livestock false registrations forage management generative adversarial network group-housed pigs hierarchical clustering instance segmentation intermodality interaction jaw movement laying hens low-frequency tracking machine learning mask scoring R-CNN mastication modularity monitoring mutual information parturition prediction pig identification pig weight precision livestock farming precision livestock management prediction of calving time radar sensors radar signal processing sensorized wearable device signal classification smart collar soft-NMS time budgets tree-based classifier unsupervised machine learning wavelet analysis wearable sensor wearables design YOLACT++ |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879803321 |
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Qiao Yongliang
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Artificial Intelligence in Medicine Practice
| Applications of Artificial Intelligence in Medicine Practice |
| Autore | Kang Kyungtae |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (184 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
advanced statistics
aggression ATLAS backdoor attacks Bayesian learning brain cerebral infarction clinical decision support systems CNN computational intelligence computer vision convolutional neural network COVID-19 CT image segmentation CycleGAN deep learning deep neural networks digital pathology DNET dysembryoplastic neuroepithelial tumor endoscopy feature selection forensic psychiatry fundus images ganglioglioma gastric cancer HarDNet healthcare instance-based learning kernel density kernel formulation machine learning medical assistance medical image segmentation medical imaging mental disorders MRI n/a neuroimaging ophthalmology pituitary adenoma schizophrenia security and privacy segmentation semi-automated labeling tool SVM Swin transformer U-Net visual acuity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910673905003321 |
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Kang Kyungtae
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Computer Vision in Automation and Robotics
| Applications of Computer Vision in Automation and Robotics |
| Autore | Okarma Krzysztof |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (186 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D prints
additive manufacturing aerial imagery air nozzles attention augmented reality calibration combined metrics component association computer vision contour point distribution convolutional neural network convolutional neural networks deep learning defect inspection distribution domain adaptation edge gradient direction encoder-decoder feature descriptor feature region feature subset selection fertilizers generative adversarial networks head mounted displays histogram image analysis image processing image registration industrial and robotic vision systems industrial objects infrared pedestrian detection k-NN algorithm machine vision monitoring optical see-through display part recognition recycling semantic segmentation sorting structural similarity surface quality assessment transparent plastic granulate video analysis visual inspection and diagnostics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557644803321 |
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Okarma Krzysztof
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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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Artificial Intelligence Applications to Smart City and Smart Enterprise
| Artificial Intelligence Applications to Smart City and Smart Enterprise |
| Autore | Impedovo Donato |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (374 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
advance rate
ANFIS-GA Apache Spark Arabic language artificial intelligence artificial training dataset automated driving vehicle autonomous driving Bacterial Foraging algorithm bagging Better Life Index big data big data analysis bus traffic flow prediction cameras computer vision convolution convolutional neural network cyclic dynamics data analysis data mining decision support system deep learning detection diabetes prediction disaster management disease detection driver distraction driver's behavior detection DSS embeddings ensemble learning extreme learning machine Feature Adaptive graph convolutional network Grassmann manifold GRU healthcare high performance computing (HPC) homecare assistance information system image recognition integrated model intelligence transportation system Internet of Things Isolated Microgrid ITS knowledge preservation large-scale database life quality LSTM machine learning machine-learning message scheduling minimizing traffic congestion motion behavior multi-label learning muti-attribute analysis neural architecture search neural network neural networks online learning optimization pattern recognition pedestrian attributes potential pedestrian safety principal component analysis program management quality of life recurrent neural network residual networks risk assessment RNN routing SAEs Saudi dialect semantic attributes recognition sensors shield performance smart car smart cities smart city Smart city smart infotainment smart tourism spatial-temporal dependencies spatio-temporal state analysis surveillance image surveillance video Swarm Intelligence algorithm symptoms detection texting and driving traffic congestion detection traffic flow prediction traffic periodicity traffic prediction traffic speed prediction traffic surveillance video TrafficWave trajectories transfer learning tunnel urban mobility VDTN Vehicle-to-Infrastructure vehicular networks vehicular traffic wavenet |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295703321 |
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Impedovo Donato
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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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Artificial Intelligence for Multimedia Signal Processing
| Artificial Intelligence for Multimedia Signal Processing |
| Autore | Kim Byung-Gyu |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (212 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
human-height estimation
depth video depth 3D conversion artificial intelligence convolutional neural networks deep neural network convolutional neural network environmental sound recognition feature combination multimodal joint representation content curation social networks different recommend tasks content based recommend systems scene/place classification semantic segmentation deep learning weighting matrix speech enhancement generative adversarial network relativistic GAN lightweight neural network single image super-resolution image enhancement image restoration residual dense networks visual sentiment analysis sentiment classification graph convolutional networks generative adversarial networks traffic surveillance image processing image de-raining fluency evaluation speech recognition data augmentation variational autoencoder speech conversion heartbeat classification convolutional neural network (CNN) canonical correlation analysis (CCA) Indian Sign Language (ISL) natural language processing avatar sign movement context-free grammar object detection logical story unit detection (LSU) object re-ID computer vision image processing single image artifacts reduction dense networks residual networks channel attention networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595077003321 |
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Kim Byung-Gyu
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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