Most cited engineering papers
- Verified
Highly sensitive flexible pressure sensors with microstructured rubber dielectric layers
Mannsfeld, S. C. B., Tee, B. C.-K., Stoltenberg, R. M., Chen, C. V. H.-H., Barman, S., Muir, B. V. O., Sokolov, A. N., Reese, C., & Bao, Z. (2010) · Nature Materials
Advanced Sensor and Energy Harvesting MaterialsNanomaterials and Printing Technologies
Cited by 3,291
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A stretchable carbon nanotube strain sensor for human-motion detection
Yamada, T., Hayamizu, Y., Yamamoto, Y., Yomogida, Y., Izadi-Najafabadi, A., Futaba, D. N., & Hata, K. (2011) · Nature Nanotechnology
Advanced Sensor and Energy Harvesting MaterialsCarbon Nanotubes in Composites
Cited by 3,247
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Dynamic Molecular Structure of Plant Biomass-Derived Black Carbon (Biochar)
Keiluweit, M., Nico, P. S., Johnson, M. G., & Kleber, M. (2010) · Environmental Science & Technology
Thermochemical Biomass Conversion ProcessesSoil Carbon and Nitrogen Dynamics
Cited by 3,230
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Measurement of lower extremity kinematics during level walking
Kadaba, M. P., Ramakrishnan, H. K., & Wootten, M. E. (1990) · Journal of Orthopaedic Research
Lower Extremity Biomechanics and PathologiesGait Recognition and Analysis
Cited by 3,216
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Stretchable, Skin-Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review
Amjadi, M., Kyung, K., Park, I., & Sitti, M. (2016) · Advanced Functional Materials
Advanced Sensor and Energy Harvesting MaterialsNanomaterials and Printing Technologies
Cited by 3,202
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End to End Learning for Self-Driving Cars
Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., Jackel, L. D., Monfort, M., Muller, U., Zhang, J., et al. (2016) · arXiv
Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications
Cited by 3,198
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Skin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes
Lipomi, D. J., Vosgueritchian, M., Tee, B. C.-K., Hellstrom, S. L., Lee, J. A., Fox, C. H., & Bao, Z. (2011) · Nature Nanotechnology
Nanomaterials and Printing TechnologiesAdvanced Sensor and Energy Harvesting Materials
Cited by 3,188
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Road Extraction by Deep Residual U-Net
Zhang, Z., Liu, Q., & Wang, Y. (2018) · IEEE Geoscience and Remote Sensing Letters
Automated Road and Building ExtractionInfrastructure Maintenance and Monitoring
Cited by 3,179
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Energy and spectral efficiency of very large multiuser MIMO systems
Ngo, H. Q., Larsson, E. G., & Marzetta, T. L. (2013) · IEEE Transactions on Communications
Advanced MIMO Systems OptimizationAdvanced Wireless Communication Techniques
Cited by 3,173
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Trends in Microgrid Control
Olivares, D. E., Mehrizi-Sani, A., Etemadi, A. H., Canizares, C. A., Iravani, R., Kazerani, M., Hajimiragha, A. H., Gomis-Bellmunt, O., Saeedifard, M., Palma-Behnke, R., et al. (2014) · IEEE Transactions on Smart Grid
Microgrid Control and OptimizationFrequency Control in Power Systems
Cited by 3,137
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A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
Gao, Z., Cecati, C., & Ding, S. X. (2015) · IEEE Transactions on Industrial Electronics
Fault Detection and Control SystemsMachine Fault Diagnosis Techniques
Cited by 3,135
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A volumetric method for building complex models from range images
Curless, B., & Levoy, M. (1996) · Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
3D Shape Modeling and AnalysisAdvanced Vision and Imaging
Cited by 3,124
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Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Guo, S., Lin, Y., Feng, N., Song, C., & Wan, H. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Traffic Prediction and Management TechniquesTraffic control and management
Cited by 3,123
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Review of Battery Charger Topologies, Charging Power Levels, and Infrastructure for Plug-In Electric and Hybrid Vehicles
Yilmaz, M., & Krein, P. T. (2013) · IEEE Transactions on Power Electronics
Electric Vehicles and InfrastructureElectric and Hybrid Vehicle Technologies
Cited by 3,118
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-T., Rocktäschel, T., et al. (2020) · arXiv
Safety Systems Engineering in AutonomyEthics and Social Impacts of AI
Cited by 3,101
- Verified
Electromagnetic diffraction in optical systems, II. Structure of the image field in an aplanatic system
Richards, B., & Wolf, E. (1959) · Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences
Advanced optical system designOrbital Angular Momentum in Optics
Cited by 3,095
- Verified
Multiphase Flows with Droplets and Particles
Crowe, C. T., Schwarzkopf, J. D., Sommerfeld, M., & Tsuji, Y. (2011) · CRC Press eBooks
Fluid Dynamics and Heat TransferParticle Dynamics in Fluid Flows
Cited by 3,076
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Advanced heart failure treated with continuous-flow left ventricular assist device
Slaughter, M. S., Rogers, J. G., Milano, C. A., Russell, S. D., Conte, J. V., Feldman, D., Sun, B., Tatooles, A. J., Delgado, R. M., Long, J. W., et al. (2009) · New England Journal of Medicine
Mechanical Circulatory Support DevicesTransplantation: Methods and Outcomes
Cited by 3,063
- Verified
Biomimetic 4D printing
Sydney Gladman, A., Matsumoto, E. A., Nuzzo, R. G., Mahadevan, L., & Lewis, J. A. (2016) · Nature Materials
Advanced Materials and MechanicsHydrogels: synthesis, properties, applications
Cited by 3,027
- Verified
Will the real smart city please stand up?: Intelligent, progressive or entrepreneurial?
Hollands, R. G. (2008) · City
Smart Cities and TechnologiesUrban Planning and Governance
Cited by 3,025
- Verified
Energy harvesting vibration sources for microsystems applications
Beeby, S. P., Tudor, M. J., & White, N. M. (2006) · Measurement Science and Technology
Innovative Energy Harvesting TechnologiesAdvanced Sensor and Energy Harvesting Materials
Cited by 3,008
- Verified
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., & Strukov, D. B. (2015) · Nature
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 3,001
- Verified
Traffic Flow Prediction With Big Data: A Deep Learning Approach
Lv, Y., Duan, Y., Kang, W., Li, Z., & Wang, F.-Y. (2014) · IEEE Transactions on Intelligent Transportation Systems
Traffic Prediction and Management TechniquesTraffic control and management
Cited by 3,000
- Verified
Applications of machine learning to machine fault diagnosis: A review and roadmap
Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020) · Mechanical Systems and Signal Processing
Machine Fault Diagnosis TechniquesFault Detection and Control Systems
Cited by 2,997
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