| Nome |
# |
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Ottimizzazione Strutturale di Reti Neurofuzzy, file e3835312-1b36-15e8-e053-a505fe0a3de9
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451
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Hyperdimensional computing for efficient distributed classification with randomized neural networks, file e383532d-12e1-15e8-e053-a505fe0a3de9
|
145
|
|
A review of the enabling methodologies for knowledge discovery from smart grids data, file e3835328-b895-15e8-e053-a505fe0a3de9
|
137
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|
Prediction in Photovoltaic Power by Neural Networks, file e3835317-a6f4-15e8-e053-a505fe0a3de9
|
136
|
|
2-D convolutional deep neural network for the multivariate prediction of photovoltaic time series, file e383532c-1f76-15e8-e053-a505fe0a3de9
|
123
|
|
Learning from distributed data sources using random vector functional-link networks, file e383531d-0ca5-15e8-e053-a505fe0a3de9
|
98
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|
On effects of compression with hyperdimensional computing in distributed randomized neural networks, file e383532c-af28-15e8-e053-a505fe0a3de9
|
83
|
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Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series, file e3835328-62cb-15e8-e053-a505fe0a3de9
|
62
|
|
A comparison of machine learning classifiers for smartphone-based gait analysis, file e383532a-6ade-15e8-e053-a505fe0a3de9
|
44
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Perceptron theory can predict the accuracy of neural networks, file f5296dce-7325-4564-9061-9e41ae8b0661
|
43
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|
A Fast Deep Learning Technique for Wi-Fi-Based Human Activity Recognition, file c53c8a0c-fda8-48c8-abe9-594ee4db235e
|
40
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A Study on structural health monitoring of a large space antenna via distributed sensors and deep learning, file 054b106d-5787-4b69-8ac6-a94ae027751d
|
26
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Challenges and perspectives of smart grid systems in islands. A real case study, file a5405e8f-58ae-4358-971c-0f08178368e9
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26
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Explainable spatio-temporal Graph Neural Networks for multi-site photovoltaic energy production, file 998ee364-035d-4912-98d7-1b4753eeb335
|
16
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Multi-damage detection in composite space structures via deep learning, file a9e2c2a3-3ce1-40aa-ac8b-f62d9308fba3
|
14
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Resource saving via ensemble techniques for quantum neural networks, file dba28bb5-6dac-49e8-ba27-66261874d65a
|
14
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Deep learning-based structural health monitoring for damage detection on a large space antenna, file e383532e-17c7-15e8-e053-a505fe0a3de9
|
14
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Systematic review of energy theft practices and autonomous detection through artificial intelligence methods, file 884028ab-704c-40b8-8b52-39b3db0cff08
|
13
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Modular quantum circuits for secure communication, file f9691f32-26bc-4ae7-bd2c-01332a759846
|
13
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|
Detection of Autism Spectrum Disorder by a Fast Deep Neural Network, file 5bab0354-6b76-4f2a-9094-b60bf2eab8e8
|
12
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|
A Study on Crude Oil Prices Modeled by Neurofuzzy Networks, file e3835312-3e65-15e8-e053-a505fe0a3de9
|
12
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|
RETI NEURALI QUANTISTICHE RANDOM VECTOR FUNCTIONAL-LINK, file e3835323-7043-15e8-e053-a505fe0a3de9
|
11
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A general approach to dropout in quantum neural networks, file a4384428-ff3d-41f2-bde9-8b237a8a9c93
|
10
|
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A deep learning strategy for on‑orbit servicing via space robotic manipulator, file e3835324-5d84-15e8-e053-a505fe0a3de9
|
10
|
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An adaptive embedding procedure for time series forecasting with deep neural networks, file 1df111f0-077e-42a1-a08c-56fa6c568f55
|
9
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An accurate algorithm for the identification of fingertips using an RGB-D camera, file e3835312-41ac-15e8-e053-a505fe0a3de9
|
9
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Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing. Review, challenges, and a case study, file e3835315-7135-15e8-e053-a505fe0a3de9
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9
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A deep learning strategy for on-orbit servicing via space robotic manipulator, file e3835324-6dcc-15e8-e053-a505fe0a3de9
|
9
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Multidimensional feeding of LSTM networks for multivariate prediction of energy time series, file e3835327-cf52-15e8-e053-a505fe0a3de9
|
9
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Nonexclusive classification of household appliances by fuzzy deep neural networks, file 37602c85-927f-4103-8d86-4e5968e3ae7e
|
8
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Multivariate time series analysis for electrical power theft detection in the distribution grid, file e20b8deb-7d3e-427b-8071-ba040258b330
|
8
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|
Fuzzy Membership Functions Based on Point-to-Polygon Distance Evaluation, file e3835312-3e64-15e8-e053-a505fe0a3de9
|
8
|
|
Radiofrequency identification systems for healthcare: A case study on electromagnetic exposures, file e3835312-40df-15e8-e053-a505fe0a3de9
|
8
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Distributed spectral clustering based on Euclidean distance matrix completion, file e3835315-9ab9-15e8-e053-a505fe0a3de9
|
8
|
|
Classification of dust elements by spatial geometric features, file e3835315-ba3d-15e8-e053-a505fe0a3de9
|
8
|
|
A review of the enabling methodologies for knowledge discovery from smart grids data, file e3835328-b986-15e8-e053-a505fe0a3de9
|
8
|
|
Time series prediction with autoencoding LSTM networks, file e383532c-fe4b-15e8-e053-a505fe0a3de9
|
8
|
|
Analysis of Logic Schemes for the Optical Implementation of Pointwise Operations in Gated Recurrent Unit Cells, file 642d6997-4e19-4693-b0bf-6a879b3f13b0
|
7
|
|
A price-aware dynamic decision system in energy communities, file cca62d2f-c698-4397-a7e9-2c6b83c9119f
|
7
|
|
Automatic feature selection for adaptive resolution classifiers, file e3835311-7e3b-15e8-e053-a505fe0a3de9
|
7
|
|
Introduction to the special section on pervasive computing, file e3835315-6b98-15e8-e053-a505fe0a3de9
|
7
|
|
Multivariate prediction in photovoltaic power plants by a stacked deep neural network, file e3835326-b517-15e8-e053-a505fe0a3de9
|
7
|
|
Design of an LSTM cell on a quantum hardware, file e383532e-9890-15e8-e053-a505fe0a3de9
|
7
|
|
Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction, file a9106adb-a0b6-4647-b04c-2da7d8bded50
|
6
|
|
A Recursive Algorithm for Fuzzy Min-Max Networks, file e3835311-7ea0-15e8-e053-a505fe0a3de9
|
6
|
|
Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data, file e3835311-c562-15e8-e053-a505fe0a3de9
|
6
|
|
2D hierarchical fuzzy clustering using kernel-based membership functions, file e3835314-be8c-15e8-e053-a505fe0a3de9
|
6
|
|
Recent advances on distributed unsupervised learning, file e3835315-5d37-15e8-e053-a505fe0a3de9
|
6
|
|
Takagi-Sugeno Fuzzy Systems Applied to Voltage Prediction of Photovoltaic Plants, file e3835317-e9a1-15e8-e053-a505fe0a3de9
|
6
|
|
Multivariate prediction of PM10 concentration by LSTM neural networks, file e3835326-b50d-15e8-e053-a505fe0a3de9
|
6
|
|
A combined deep learning approach for time series prediction in energy environments, file e3835327-7c7d-15e8-e053-a505fe0a3de9
|
6
|
|
Deep Learning for local damage identification in large space structures via sensor-measured time responses, file e383532a-8491-15e8-e053-a505fe0a3de9
|
6
|
|
A parallel hardware implementation for 2-D hierarchical clustering based on fuzzy logic, file e383532b-3662-15e8-e053-a505fe0a3de9
|
6
|
|
Two-stage dynamic management in energy communities using a decision system based on elastic net regularization, file e383532c-0615-15e8-e053-a505fe0a3de9
|
6
|
|
Distributed LSTM-based cloud resource allocation in network function virtualization architectures, file 9ced7cf7-55b4-4f67-9598-6be859b40e95
|
5
|
|
Constructive MoG neural networks for pollution data forecasting, file e3835311-8d9b-15e8-e053-a505fe0a3de9
|
5
|
|
A constructive EM approach to density estimation for learning, file e3835311-b421-15e8-e053-a505fe0a3de9
|
5
|
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Estimation of bone mineral density data using MoG neural networks, file e3835311-c5c4-15e8-e053-a505fe0a3de9
|
5
|
|
Distributed learning for random vector functional-link networks, file e3835311-d49d-15e8-e053-a505fe0a3de9
|
5
|
|
Modeling Energy Markets Using Neural Networks and Spectral Analysis, file e3835311-eaea-15e8-e053-a505fe0a3de9
|
5
|
|
Genre Classification of Compressed Audio Data, file e3835312-0677-15e8-e053-a505fe0a3de9
|
5
|
|
Real-time Identification and Tracking Using Kinect. Multimodal Interaction and Performance Analysis, file e3835312-313d-15e8-e053-a505fe0a3de9
|
5
|
|
Crude oil prices and kernel-based models, file e3835312-3e67-15e8-e053-a505fe0a3de9
|
5
|
|
Distributed semi-supervised support vector machines, file e3835314-be1d-15e8-e053-a505fe0a3de9
|
5
|
|
A fuzzy Kernel motion classifier for autonomous stroke rehabilitation, file e3835314-c265-15e8-e053-a505fe0a3de9
|
5
|
|
Shapes classification of dust deposition using fuzzy kernel-based approaches, file e3835314-cb80-15e8-e053-a505fe0a3de9
|
5
|
|
A Genetic Algorithm for Feature Selection in Gait Analysis, file e3835315-d51c-15e8-e053-a505fe0a3de9
|
5
|
|
Distributed music classification using random vector functional-link nets, file e3835316-1b96-15e8-e053-a505fe0a3de9
|
5
|
|
Selection of clinical features for pattern recognition applied to gait analysis, file e3835316-f2e2-15e8-e053-a505fe0a3de9
|
5
|
|
Fully decentralized semi-supervised learning via privacy-preserving matrix completion, file e3835318-ab78-15e8-e053-a505fe0a3de9
|
5
|
|
Embedding of Time Series for the Prediction in Photovoltaic Power Plants, file e383531e-30ba-15e8-e053-a505fe0a3de9
|
5
|
|
A smartphone-based application using machine learning for gesture recognition. Using feature extraction and template matching via Hu image moments to recognize gestures, file e383531e-a151-15e8-e053-a505fe0a3de9
|
5
|
|
Distributed data clustering over networks, file e3835323-1818-15e8-e053-a505fe0a3de9
|
5
|
|
A neural network based prediction system of distributed generation for the management of microgrids, file e3835323-b24e-15e8-e053-a505fe0a3de9
|
5
|
|
ADMM consensus for deep LSTM networks, file e3835328-8cce-15e8-e053-a505fe0a3de9
|
5
|
|
Multivariate Prediction of Energy Time Series by Autoencoded LSTM Networks, file e383532e-92f4-15e8-e053-a505fe0a3de9
|
5
|
|
All-optical and logic gate based on semiconductor optical amplifiers for implementing deep recurrent neural networks, file 1ed9e1ac-9dfa-471a-8305-c5f30e80be41
|
4
|
|
ANFIS synthesis by hyperplane clustering for time series prediction, file e3835311-6017-15e8-e053-a505fe0a3de9
|
4
|
|
Exploiting Quantum Entanglement and Quantum Superposition for Nature-Inspired Optimization, file e3835311-9ab5-15e8-e053-a505fe0a3de9
|
4
|
|
Clustering with Unconstrained Hyperboxes, file e3835311-9f66-15e8-e053-a505fe0a3de9
|
4
|
|
Baseband filter banks for neural prediction, file e3835311-a3fc-15e8-e053-a505fe0a3de9
|
4
|
|
Fuzzy clustering using the convex hull as geometrical model, file e3835311-cbaa-15e8-e053-a505fe0a3de9
|
4
|
|
Subband prediction of energy commodity prices, file e3835311-ed40-15e8-e053-a505fe0a3de9
|
4
|
|
Reti Neurofuzzy per il Modellamento Data Driven: Approssimazione Funzionale e Predizione, file e3835312-2a37-15e8-e053-a505fe0a3de9
|
4
|
|
A hierarchical procedure for the synthesis of ANFIS networks, file e3835312-3574-15e8-e053-a505fe0a3de9
|
4
|
|
Smart devices and environments. Enabling technologies and systems for the Internet of Things, file e3835312-5dbc-15e8-e053-a505fe0a3de9
|
4
|
|
Multimedia and gaming technologies for telerehabilitation of motor disabilities, file e3835314-5549-15e8-e053-a505fe0a3de9
|
4
|
|
A decentralized training algorithm for Echo State Networks in distributed big data applications, file e3835314-be1f-15e8-e053-a505fe0a3de9
|
4
|
|
Distributed learning of random weights fuzzy neural networks, file e3835315-9c65-15e8-e053-a505fe0a3de9
|
4
|
|
Classification of dust elements by spatial geometric features, file e3835315-b171-15e8-e053-a505fe0a3de9
|
4
|
|
Privacy-preserving data mining for distributed medical scenarios, file e3835318-ab7f-15e8-e053-a505fe0a3de9
|
4
|
|
Extended random neural networks, file e383531a-6b42-15e8-e053-a505fe0a3de9
|
4
|
|
A comparison of consensus strategies for distributed learning of random vector functional-link networks, file e383531c-c937-15e8-e053-a505fe0a3de9
|
4
|
|
A deep learning strategy for on-orbit servicing via space robotic manipulator, file e3835324-3df3-15e8-e053-a505fe0a3de9
|
4
|
|
Time series prediction using random weights fuzzy neural networks, file e3835328-60e6-15e8-e053-a505fe0a3de9
|
4
|
|
An energy-aware hardware implementation of 2D hierarchical clustering, file e3835328-b984-15e8-e053-a505fe0a3de9
|
4
|
|
A blockwise embedding for multi-day-ahead prediction of energy time series by randomized deep neural networks, file e383532d-7898-15e8-e053-a505fe0a3de9
|
4
|
|
Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection, file 0ca017f3-7278-41a7-91cf-8db3b823a3d7
|
3
|
|
A randomized deep neural network for emotion recognition with landmarks detection, file 25edcdd4-b0b3-4e6b-8ecc-2e792651709b
|
3
|
|
Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing, file 3a12e35c-a3eb-46c9-9eb8-1bd1dc9eaf30
|
3
|
| Totale |
1.973 |