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A Review of the Enabling Methodologies for Knowle…

March 14, 2026

Enhancing Autism Detection Through Gaze Analysis…

December 5, 2024
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Author: hello@ideology.it

knowledge discovery smart grids

A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data

Written by hello@ideology.it on March 14, 2026. Posted in Renewable energy. No Comments on A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data

autism detection AI

Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural Networks

Written by hello@ideology.it on December 5, 2024. Posted in Biomedical. No Comments on Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural Networks

quantum generative modeling

Quantum Generative Modeling via Straightforward State Preparation

Written by hello@ideology.it on November 30, 2024. Posted in Quantum computing. No Comments on Quantum Generative Modeling via Straightforward State Preparation

QAOA optimization

Enhancing QAOA Ansatz via Multi-Parameterized Layer and Blockwise Optimization

Written by hello@ideology.it on November 29, 2024. Posted in Quantum computing. No Comments on Enhancing QAOA Ansatz via Multi-Parameterized Layer and Blockwise Optimization

battery life classification

A Deep Learning-based Approach for Battery Life Classification

Written by hello@ideology.it on November 20, 2024. Posted in Renewable energy. No Comments on A Deep Learning-based Approach for Battery Life Classification

emotion recognition deep learning

An explainable fast deep neural network for emotion recognition

Written by hello@ideology.it on November 14, 2024. Posted in Biomedical. No Comments on An explainable fast deep neural network for emotion recognition

multi-label classification

Multi-label classification with imbalanced classes by fuzzy deep neural networks

Written by hello@ideology.it on October 18, 2024. Posted in Renewable energy. No Comments on Multi-label classification with imbalanced classes by fuzzy deep neural networks

quantum knowledge distillation

Quantum enhanced knowledge distillation

Written by hello@ideology.it on October 11, 2024. Posted in Quantum computing. No Comments on Quantum enhanced knowledge distillation

quantum gated recurrent units

A variational approach to quantum gated recurrent units

Written by hello@ideology.it on August 21, 2024. Posted in Quantum computing. No Comments on A variational approach to quantum gated recurrent units

structural health monitoring aerospace

A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications

Written by hello@ideology.it on August 8, 2024. Posted in Aerospace. No Comments on A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications

time series forecasting deep learning

An adaptive embedding procedure for time series forecasting with deep neural networks

Written by hello@ideology.it on September 9, 2023. Posted in Advanced AI Methods. No Comments on An adaptive embedding procedure for time series forecasting with deep neural networks

quantum secure communication

Modular quantum circuits for secure communication

Written by hello@ideology.it on August 2, 2023. Posted in Cybersecurity. No Comments on Modular quantum circuits for secure communication

neural network accuracy prediction

Perceptron Theory Can Predict the Accuracy of Neural Networks

Written by hello@ideology.it on February 6, 2023. Posted in Advanced AI Methods. No Comments on Perceptron Theory Can Predict the Accuracy of Neural Networks

smart grid islands

Challenges and perspectives of smart grid systems in islands: a real case study

Written by hello@ideology.it on January 4, 2023. Posted in Renewable energy. No Comments on Challenges and perspectives of smart grid systems in islands: a real case study

space antenna health monitoring

A Study on structural health monitoring of a large space antenna via distributed sensors and deep learning

Written by hello@ideology.it on December 29, 2022. Posted in Aerospace. No Comments on A Study on structural health monitoring of a large space antenna via distributed sensors and deep learning

A randomized deep neural network for emotion recognition with landmarks detection

Written by hello@ideology.it on December 6, 2022. Posted in Biomedical. No Comments on A randomized deep neural network for emotion recognition with landmarks detection

Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing

Written by hello@ideology.it on August 30, 2022. Posted in Hyperdimensional Computing. No Comments on Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing

Multivariate Time Series Analysis for Electrical Power Theft Detection in the Distribution Grid

Written by hello@ideology.it on August 19, 2022. Posted in Renewable energy. No Comments on Multivariate Time Series Analysis for Electrical Power Theft Detection in the Distribution Grid

A Fast Deep Learning Technique for Wi-Fi-Based Human Activity Recognition

Written by hello@ideology.it on July 5, 2022. Posted in Biomedical. No Comments on A Fast Deep Learning Technique for Wi-Fi-Based Human Activity Recognition

Quasi-Chaotic Oscillators Based on Modular Quantum Circuits

Written by hello@ideology.it on April 18, 2022. Posted in Quantum computing. No Comments on Quasi-Chaotic Oscillators Based on Modular Quantum Circuits

Design of an LSTM Cell on a Quantum Hardware

Written by hello@ideology.it on November 8, 2021. Posted in Quantum computing. No Comments on Design of an LSTM Cell on a Quantum Hardware

Multivariate Prediction of Energy Time Series by Autoencoded LSTM Networks

Written by hello@ideology.it on November 3, 2021. Posted in Renewable energy. No Comments on Multivariate Prediction of Energy Time Series by Autoencoded LSTM Networks

Deep Neural Networks for Electric Energy Theft and Anomaly Detection in the Distribution Grid

Written by hello@ideology.it on November 3, 2021. Posted in Renewable energy. No Comments on Deep Neural Networks for Electric Energy Theft and Anomaly Detection in the Distribution Grid

Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks

Written by hello@ideology.it on September 20, 2021. Posted in Hyperdimensional Computing. No Comments on Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks

A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks

Written by hello@ideology.it on September 20, 2021. Posted in Renewable energy. No Comments on A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks

On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks

Written by hello@ideology.it on August 21, 2021. Posted in Hyperdimensional Computing. No Comments on On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks

Deep learning-based Structural Health Monitoring for damage detection on a large space antenna

Written by hello@ideology.it on August 5, 2021. Posted in Aerospace. No Comments on Deep learning-based Structural Health Monitoring for damage detection on a large space antenna

A decentralized algorithm for distributed ensemble clustering

Written by hello@ideology.it on July 27, 2021. Posted in Distributed Learning. No Comments on A decentralized algorithm for distributed ensemble clustering

2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series

Written by hello@ideology.it on April 23, 2021. Posted in Renewable energy. No Comments on 2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series

Two-stage dynamic management in energy communities using a decision system based on elastic net regularization

Written by hello@ideology.it on March 31, 2021. Posted in Renewable energy. No Comments on Two-stage dynamic management in energy communities using a decision system based on elastic net regularization

Two-stage dynamic management in energy communities using a decision system based on elastic net regularization

Written by hello@ideology.it on March 31, 2021. Posted in Renewable energy. No Comments on Two-stage dynamic management in energy communities using a decision system based on elastic net regularization

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series

Written by hello@ideology.it on November 20, 2020. Posted in Renewable energy. No Comments on Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series

A Parallel Hardware Implementation for 2-D Hierarchical Clustering Based on Fuzzy Logic

Written by hello@ideology.it on October 21, 2020. Posted in Efficient Edge AI. No Comments on A Parallel Hardware Implementation for 2-D Hierarchical Clustering Based on Fuzzy Logic

Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding

Written by hello@ideology.it on September 3, 2020. Posted in Renewable energy. No Comments on Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding

An Energy-Aware Hardware Implementation of 2D Hierarchical Clustering

Written by hello@ideology.it on August 6, 2020. Posted in Efficient Edge AI. No Comments on An Energy-Aware Hardware Implementation of 2D Hierarchical Clustering

A Fuzzy Neural Network Approach to Quality Assessment of Water Reservoirs

Written by hello@ideology.it on March 2, 2020. Posted in Renewable energy. No Comments on A Fuzzy Neural Network Approach to Quality Assessment of Water Reservoirs

Retrieving Chlorophyll-a Levels, Transparency and TSS Concentration from Multispectral Satellite Data by Using Artificial Neural Networks

Written by hello@ideology.it on February 19, 2018. Posted in Aerospace. No Comments on Retrieving Chlorophyll-a Levels, Transparency and TSS Concentration from Multispectral Satellite Data by Using Artificial Neural Networks

Finite precision implementation of random vector functional-link networks

Written by hello@ideology.it on November 7, 2017. Posted in Efficient Edge AI. No Comments on Finite precision implementation of random vector functional-link networks

A nonuniform quantizer for hardware implementation of neural networks

Written by hello@ideology.it on November 2, 2017. Posted in Efficient Edge AI. No Comments on A nonuniform quantizer for hardware implementation of neural networks

Distributed Learning of Random Weights Fuzzy Neural Networks

Written by hello@ideology.it on November 10, 2016. Posted in Distributed Learning. No Comments on Distributed Learning of Random Weights Fuzzy Neural Networks

Embedding of time series for the prediction in photovoltaic power plants

Written by hello@ideology.it on September 1, 2016. Posted in Renewable energy. No Comments on Embedding of time series for the prediction in photovoltaic power plants

Recent Advances on Distributed Unsupervised Learning

Written by hello@ideology.it on June 19, 2016. Posted in Distributed Learning. No Comments on Recent Advances on Distributed Unsupervised Learning

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GRID+ Copyright © 2026. All Rights Reserved.
VAT No. 17387741006 | The capital has been paid up in full €10,000 | RM – 1715269

GRID+ Copyright © 2026. All Rights Reserved.
VAT No. 17387741006 | The capital has been paid up in full €10,000 | RM – 1715269

P. IVA 17387741006 · The capital has been paid up in full €10,000 | RM – 1715269

Designed by Ideology Creative Studio.