Citation Impact
Citing Papers
A trend fixed on firstly and seasonal adjustment model combined with the ε-SVR for short-term forecasting of electricity demand
2009
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Remote working and digital transformation during the COVID-19 pandemic: Economic–financial impacts and psychological drivers for employees
2022 Standout
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
2015 Standout
Geopolitical risk uncertainty and oil future volatility: Evidence from MIDAS models
2019 Standout
Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China
2017 Standout
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Research on tunnel ventilation systems: Dust Diffusion and Pollution Behaviour by air curtains based on CFD technology and field measurement
2018 Standout
Intelligent Energy Management Algorithms for EV-charging Scheduling with Consideration of Multiple EV Charging Modes
2019
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
A novel hybrid approach based on Particle Swarm Optimization and Ant Colony Algorithm to forecast energy demand of Turkey
2011
Literature review of Industry 4.0 and related technologies
2018 Standout
Evolutionary fuzzy intelligent system for multi-objective supply chain network designs: an agent-based optimization state of the art
2015
Industry 4.0: state of the art and future trends
2018 Standout
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach
2019
A metric and frameworks for resilience analysis of engineered and infrastructure systems
2013 Standout
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Electric load forecasting by support vector model
2008
Risk assessment and risk management: Review of recent advances on their foundation
2015 Standout
A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network
2014 Standout
Towards dynamic risk analysis: A review of the risk assessment approach and its limitations in the chemical process industry
2016 Standout
Automation of multi-fault diagnosing of centrifugal pumps using multi-class support vector machine with vibration and motor current signals in frequency domain
2018
Towards knowledge modeling and manipulation technologies: A survey
2016
An intelligent fault diagnosis method of rotating machinery based on deep neural networks and time-frequency analysis
2018
Fuzzy Classification With Restricted Boltzman Machines and Echo-State Networks for Predicting Potential Railway Door System Failures
2015
Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000–2009
2011
Energy system resilience – A review
2021 Standout
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
Forecasting China’s natural gas demand based on optimised nonlinear grey models
2017 Standout
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
2019 Standout
Bitcoin price forecasting with neuro-fuzzy techniques
2019
Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes
2015
The Evaluation of Process Safety Management Effectiveness in the Oil and Gas Sector: Case of Sonatrach, Algeria
2015
Fault diagnosis of single-phase induction motor based on acoustic signals
2018 Standout
Machine learning in manufacturing: advantages, challenges, and applications
2016
Future projection of the energy dependency of Turkey using artificial neural network
2009
Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network
2018
Rheological Properties of Cemented Tailing Backfill and the Construction of a Prediction Model
2015
Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm
2012
Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda
2019 Standout
A hybrid genetic algorithm-TOPSIS-computer simulation approach for optimum operator assignment in cellular manufacturing systems
2011
A Neuro-fuzzy-stochastic frontier analysis approach for long-term natural gas consumption forecasting and behavior analysis: The cases of Bahrain, Saudi Arabia, Syria, and UAE
2011
Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review
2019 Standout
Predicting residential energy consumption using CNN-LSTM neural networks
2019 Standout
Performance evaluation of integrated resilience engineering factors by data envelopment analysis: The case of a petrochemical plant
2013
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments
2009
Performance Degradation Assessment of Rolling Element Bearings Based on an Index Combining SVD and Information Exergy
2014
A neuro-fuzzy-multivariate algorithm for accurate gas consumption estimation in South America with noisy inputs
2012
A review of definitions and measures of system resilience
2015 Standout
A review on time series forecasting techniques for building energy consumption
2017 Standout
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
2018 Standout
An ontology-based model for prognostics and health management of machines
2017
Forecasting Crude Oil Prices Using Ensemble Empirical Mode Decomposition and Sparse Bayesian Learning
2018
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
2019 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Financial performance and global start-ups: the impact of knowledge management practices
2022
An ontological approach for reliable data integration in the industrial domain
2014
An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem
2019 Standout
Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine
2015
Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques
2019 Standout
A Review of the Roles of Digital Twin in CPS-based Production Systems
2017 Standout
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
2011 Standout
A state-of the-art survey of TOPSIS applications
2012 Standout
Reforming Brazil׳s offshore oil and gas safety regulatory framework: Lessons from Norway, the United Kingdom and the United States
2014
Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance
2015
Data-driven smart manufacturing
2018 Standout
Forecasting volatility of oil price using an artificial neural network-GARCH model
2016
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Energy models for demand forecasting—A review
2011 Standout
Electrical energy storage systems: A comparative life cycle cost analysis
2014 Standout
Beyond one-step-ahead forecasting: Evaluation of alternative multi-step-ahead forecasting models for crude oil prices
2013
A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
2020 Standout
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics
2020 Standout
Applicability of lean production with VSM to the Rioja wine sector
2011
Resilience framework for critical infrastructures: An empirical study in a nuclear plant
2015
Optimum estimation and forecasting of renewable energy consumption by artificial neural networks
2013
Lean manufacturing: literature review and research issues
2014 Standout
Assessment of resilience engineering factors in high-risk environments by fuzzy cognitive maps: A petrochemical plant
2014
Greek long-term energy consumption prediction using artificial neural networks
2009 Standout
A sustainability paradox? Sustainable operations in the offshore oil and gas industry: The case of Petrobras
2016 Standout
On the rationale of resilience in the domain of safety: A literature review
2015
Works of V. Ebrahimipour being referenced
A GA–PCA approach for power sector performance ranking based on machine productivity
2006
An ontology approach to support FMEA studies
2009
Improved estimation of electricity demand function by integration of fuzzy system and data mining approach
2008
A synergetic approach for assessing and improving equipment performance in offshore industry based on dependability
2005
Ontology-Based Schema to Support Maintenance Knowledge Representation With a Case Study of a Pneumatic Valve
2015
A hybrid GA–PSO approach for reliability optimization in redundancy allocation problem
2013
A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting
2011
Challenges in building resilience engineering (RE) and adaptive capacity: A field study in a chemical plant
2011
An integrated PCA DEA framework for assessment and ranking of manufacturing systems based on equipment performance
2007
A flexible algorithm for fault diagnosis in a centrifugal pump with corrupted data and noise based on ANN and support vector machine with hyper-parameters optimization
2012
A new method for quantitative assessment of resilience engineering by PCA and NT approach: A case study in a process industry
2013
A hybrid GA-simulation approach to improve JIT systems
2009
A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry
2009