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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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Evolutionary Computation & Swarm Intelligence
| Evolutionary Computation & Swarm Intelligence |
| Autore | Caraffini Fabio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (286 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
algorithmic design
analysis approximate matching benchmark suite compact optimization concept drift concept evolution context-triggered piecewise hashing data integration data sampling DE-MPFSC algorithm density based clustering discrete optimization dynamic stream clustering edit distance entanglement degree estimation distribution algorithms evolutionary algorithms evolutionary computation feature selection fitness trend fuzzy hashing genetic algorithm global/local optimization Holm-Bonferroni hybrid algorithms identification imbalanced data instance weighting k-means centroid kinematic parameters large-scale optimization LZJD manipulator Markov process maximum k-coverage memetic algorithms memetic computing meta-heuristic algorithms metaheuristic optimisation metaheuristics multi-objective deterministic optimization, derivative-free multi-thread programming nature-inspired algorithms normalization one billion variables online clustering optimisation parameter tuning particle swarm Particle Swarm Optimization population based algorithms PSO redundant representation robot routing screening criteria sdhash signatures similarity detection simulation-based design optimization Social Network Optimization ssdeep swarm intelligence Swarm Intelligence Wilcoxon rank-sum wireless sensor networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557283803321 |
Caraffini Fabio
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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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Statistical Machine Learning for Human Behaviour Analysis
| Statistical Machine Learning for Human Behaviour Analysis |
| Autore | Moeslund Thomas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (300 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D convolutional neural networks
accuracy action recognition adaptive classifiers age classification attention allocation attention behavior biometric recognition blurring detection body movements boundary segmentation categorical data committee of classifiers concept drift context-aware framework convolutional neural network deep learning discrete stationary wavelet transform emotion recognition Empatica E4 ensemble methods face analysis face segmentation false negative rate fibromyalgia fingerprint image enhancement fingerprint quality foggy image frequency domain gait event gender classification gestures hand sign language head pose estimation hybrid entropy individual behavior estimation information entropy interpretable machine learning k-means clustering Kinect sensor Learning Using Concave and Convex Kernels multi-modal multi-objective evolutionary algorithms multimodal-based human identification neural networks noisy image object contour detection privacy privacy-aware profoundly deaf recurrent concepts restricted Boltzmann machine (RBM) rule-based classifiers saliency detection self-reported survey silhouettes difference single pixel single photon image acquisition singular point detection spatial domain spectrograms speech speech emotion recognition statistical-based time-frequency domain and crowd condition stock price direction prediction time-of-flight toe-off detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288403321 |
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Moeslund Thomas
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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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