Most cited engineering papers
- Verified
Short-term electricity load forecasting—A systematic approach from system level to secondary substations
Pinheiro, M. G., Madeira, S. C., & Francisco, A. P. (2023) · Applied Energy
Energy Load and Power ForecastingSmart Grid Energy Management
Cited by 119
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Integrating load reduction into wholesale energy market with application to wind power integration
Parvania, M., & Fotuhi-Firuzabad, M. (2012) · IEEE Systems Journal
Electric Power System OptimizationSmart Grid Energy Management
Cited by 119
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Multi-objective synergistic planning of EV fast-charging stations in the distribution system coupled with the transportation network
Shukla, A., Verma, K., & Kumar, R. (2019) · IET Generation, Transmission & Distribution
Electric Vehicles and InfrastructureOptimal Power Flow Distribution
Cited by 119
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Demagnetization Fault Indexes in Permanent Magnet Synchronous Motors—An Overview
Faiz, J., & Nejadi-Koti, H. (2016) · IEEE Transactions on Magnetics
Machine Fault Diagnosis TechniquesElectric Motor Design and Analysis
Cited by 119
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Classification of the mechanomyogram signal using a wavelet packet transform and singular value decomposition for multifunction prosthesis control
Xie, H.-B., Zheng, Y.-P., & Guo, J.-Y. (2009) · Physiological Measurement
Muscle activation and electromyography studiesProsthetics and Rehabilitation Robotics
Cited by 118
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A Machine Vision Based Automatic Optical Inspection System for Measuring Drilling Quality of Printed Circuit Boards
Wang, W.-C., Chen, S.-L., Chen, L.-B., & Chang, W.-J. (2017) · IEEE Access
Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques
Cited by 118
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An Improved Generalized Average Model of DC–DC Dual Active Bridge Converters
Mueller, J. A., & Kimball, J. W. (2018) · IEEE Transactions on Power Electronics
Advanced DC-DC ConvertersWireless Power Transfer Systems
Cited by 118
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Deep learning versus traditional machine learning methods for aggregated energy demand prediction
Paterakis, N. G., Mocanu, E., Gibescu, M., Stappers, B., & van Alst, W. (2017) · 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Energy Load and Power ForecastingSmart Grid Energy Management
Cited by 118
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Large-Scale Convex Optimization for Dense Wireless Cooperative Networks
Shi, Y., Zhang, J., O'Donoghue, B., & Letaief, K. B. (2015) · IEEE Transactions on Signal Processing
Advanced MIMO Systems OptimizationAdvanced Optimization Algorithms Research
Cited by 118
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A review of machine learning (ML) and explainable artificial intelligence (XAI) methods in additive manufacturing (3D Printing)
Ukwaththa, J., Herath, S., & Meddage, D. P. P. (2024) · Materials Today Communications
Additive Manufacturing and 3D Printing TechnologiesAdditive Manufacturing Materials and Processes
Cited by 118
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Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review
Manzoor, B., Othman, I., Durdyev, S., Ismail, S., & Wahab, M. (2021) · Applied System Innovation
BIM and Construction IntegrationCivil and Structural Engineering Research
Cited by 118
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Techno-economic assessment of a wood-based biorefinery concept for the production of polymer-grade ethylene, organosolv lignin and fuel
Nitzsche, R., Budzinski, M., & Gröngröft, A. (2016) · Bioresource Technology
Biofuel production and bioconversionCatalysis for Biomass Conversion
Cited by 118
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Modular Multilevel Converter DC Fault Protection
Cwikowski, O., Wickramasinghe, H. R., Konstantinou, G., Pou, J., Barnes, M., & Shuttleworth, R. (2018) · IEEE Transactions on Power Delivery
HVDC Systems and Fault ProtectionMultilevel Inverters and Converters
Cited by 118
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Calculating CO2 Uptake for Existing Concrete Structures during and after Service Life
Andersson, R., Fridh, K., Stripple, H., & Häglund, M. (2013) · Environmental Science & Technology
Concrete and Cement Materials ResearchRecycled Aggregate Concrete Performance
Cited by 118
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Multi-channel based Sybil attack detection in vehicular ad hoc networks using RSSI
Yao, Y., Xiao, B., Wu, G., Liu, X., Yu, Z., Zhang, K., & Zhou, X. (2019) · IEEE Transactions on Mobile Computing
Vehicular Ad Hoc Networks (VANETs)Security in Wireless Sensor Networks
Cited by 118
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Exploring the dimensions of medical student engagement with technology-enhanced learning resources and assessing the impact on assessment outcomes
Pickering, J. D., & Swinnerton, B. J. (2019) · Anatomical Sciences Education
Anatomy and Medical TechnologyInnovations in Medical Education
Cited by 118
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An Integrated Implantable Stimulator That is Fail-Safe Without Off-Chip Blocking-Capacitors
Liu, X., Demosthenous, A., & Donaldson, N. (2008) · IEEE Transactions on Biomedical Circuits and Systems
Analog and Mixed-Signal Circuit DesignNeuroscience and Neural Engineering
Cited by 118
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Citric acid production by Koji fermentation using banana peel as a novel substrate
Karthikeyan, A., & Sivakumar, N. (2010) · Bioresource Technology
Biofuel production and bioconversionAdvanced Scientific Research Methods
Cited by 118
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A Methanol Impermeable Proton Conducting Composite Electrolyte System
Pu, C., Huang, W., Ley, K. L., & Smotkin, E. S. (1995) · Journal of The Electrochemical Society
Fuel Cells and Related MaterialsAdvancements in Solid Oxide Fuel Cells
Cited by 118
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Steel Surface Defect Classification Using Deep Residual Neural Network
Konovalenko, I., Maruschak, P., Brezinová, J., Viňáš, J., & Brezina, J. (2020) · Metals
Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques
Cited by 118
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3D spheroid cultures improve the metabolic gene expression profiles of HepaRG cells
Takahashi, Y., Hori, Y., Yamamoto, T., Urashima, T., Ohara, Y., & Tanaka, H. (2015) · Bioscience Reports
3D Printing in Biomedical ResearchDrug-Induced Hepatotoxicity and Protection
Cited by 118
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Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management
Rengasamy, D., Jafari, M., Rothwell, B., Chen, X., & Figueredo, G. P. (2020) · Sensors
Machine Fault Diagnosis TechniquesFault Detection and Control Systems
Cited by 118
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A comparative study between syringe-based and screw-based 3D food printers by computational simulation
Guo, C.-F., Zhang, M., & Bhandari, B. (2019) · Computers and Electronics in Agriculture
Additive Manufacturing and 3D Printing TechnologiesInnovations in Concrete and Construction Materials
Cited by 118
- Verified
MoS2 Tribotronic Transistor for Smart Tactile Switch
Xue, F., Chen, L., Wang, L., Pang, Y., Chen, J., Zhang, C., & Wang, Z. L. (2016) · Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials2D Materials and Applications
Cited by 118
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