Citation Impact
Citing Papers
A survey of machine learning for big data processing
2016
Learning Efficient Convolutional Networks through Network Slimming
2017 Standout
Recognition of multiple partial discharge patterns by multi‐class support vector machine using fractal image processing technique
2018 Standout
Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet
2021 Standout
Group sparse regularization for deep neural networks
2017
Recent advances in physical reservoir computing: A review
2019 Standout
Where Is Current Research on Blockchain Technology?—A Systematic Review
2016 Standout
An on-line algorithm for creating self-organizing fuzzy neural networks
2004
Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
2018
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition
2015
A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting
2017
Big Data technologies: A survey
2017 Standout
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks
2019
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning
2020
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis
2016
Literature review of Industry 4.0 and related technologies
2018 Standout
Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network
2020 Standout
Application of K-Means method to pattern recognition in on-line cable partial discharge monitoring
2013
Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
2020 Standout
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
2017 Standout
Energy efficiency for cloud computing system based on predictive optimization
2016
Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM
2020 Standout
Random vector functional link network for short-term electricity load demand forecasting
2016 Standout
Manifold regularization based distributed semi-supervised learning algorithm using extreme learning machine over time-varying network
2019
Partial discharge classifications: Review of recent progress
2015 Standout
Knowledge Distillation: A Survey
2021 Standout
Space-Air-Ground Integrated Network: A Survey
2018 Standout
Phase determination of partial discharge source in three-phase transmission lines using discrete wavelet transform and probabilistic neural networks
2013
Review on deep learning applications in frequency analysis and control of modern power system
2021 Standout
Enhancement of Patient Facial Recognition through Deep Learning Algorithm: ConvNet
2021 Standout
Survey of intrusion detection systems: techniques, datasets and challenges
2019 Standout
A Fast Image Retrieval Method Designed for Network Big Data
2017
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems
2017 Standout
Early fire detection using convolutional neural networks during surveillance for effective disaster management
2017 Standout
Contract Design for Traffic Offloading and Resource Allocation in Heterogeneous Ultra-Dense Networks
2017
Twitter mood predicts the stock market
2011 Standout
Big data applications in operations/supply-chain management: A literature review
2016
Battery Lifetime Prognostics
2020 Standout
Predicting residential energy consumption using CNN-LSTM neural networks
2019 Standout
Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services
2016
Genetic Optimization of a PD Diagnostic System for Cable Accessories
2009
Randomness in neural networks: an overview
2017
A comprehensive evaluation of random vector functional link networks
2015
A review on time series forecasting techniques for building energy consumption
2017 Standout
The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
2018 Standout
Local Stereo Matching Based on Support Weight With Motion Flow for Dynamic Scene
2016
Block Storage Optimization and Parallel Data Processing and Analysis of Product Big Data Based on the Hadoop Platform
2021 Standout
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
2018 Standout
Big data analytics in telecommunications: literature review and architecture recommendations
2019
Pattern recognition with cerebellar model articulation controller and fractal features on partial discharges
2011
Q *: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers
2016
Supply chain management 4.0: a literature review and research framework
2020 Standout
A granular neural network: Performance analysis and application to re-granulation
2013
On Modulo 2^n+1 Adder Design
2010
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
Convolutional Neural Networks Based Fire Detection in Surveillance Videos
2018 Standout
Taxonomy on EEG Artifacts Removal Methods, Issues, and Healthcare Applications
2020
A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
2020 Standout
Review—Dynamic Models of Li-Ion Batteries for Diagnosis and Operation: A Review and Perspective
2018
Fuzziness based semi-supervised learning approach for intrusion detection system
2016
Machine learning driven smart electric power systems: Current trends and new perspectives
2020
Overview of the Optimal Smart Energy Coordination for Microgrid Applications
2019
Granular Computing Approach to Two-Way Learning Based on Formal Concept Analysis in Fuzzy Datasets
2014 Standout
Works of Massimo Panella being referenced
Learning from Distributed Data Sources Using Random Vector Functional-Link Networks
2015
Adaptive resolution min-max classifiers
2002
Distributed semi-supervised support vector machines
2016
A decentralized training algorithm for Echo State Networks in distributed big data applications
2015
Partial Discharge Pattern Recognition by Neuro-Fuzzy Networks in Heat-Shrinkable Joints and Terminations of XLPE Insulated Distribution Cables
2006
Scale-based approach to hierarchical fuzzy clustering
2000
A data driven circuit model for rechargeable batteries
2014
Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study
2016
A Neural Network Based Prediction System of Distributed Generation for the Management of Microgrids
2019
Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting
2015
An RNS Architecture for Quasi-Chaotic Oscillators
2003
Distributed learning for Random Vector Functional-Link networks
2015
An input-output clustering approach to the synthesis of ANFIS networks
2005
Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion
2016