Most cited engineering papers
- Verified
Prediction and Analysis of Building Energy Efficiency Using Artificial Neural Network and Design of Experiments
Sholahudin, S., Alam, A. G., Baek, C. I., & Han, H. (2016) · Applied Mechanics and Materials
Building Energy and Comfort OptimizationBuilding energy efficiency and sustainability
Cited by 39
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Brain-inspired computing systems: a systematic literature review
Zolfagharinejad, M., Alegre-Ibarra, U., Chen, T., Kinge, S., & van der Wiel, W. G. (2024) · The European Physical Journal B
Advanced Memory and Neural ComputingCognitive Computing and Networks
Cited by 39
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Robust Features Extraction for On-board Monocular-based Spacecraft Pose Acquisition
Capuano, V., Alimo, S. R., Ho, A. Q., & Chung, S.-J. (2019) · AIAA Scitech 2019 Forum
Space Satellite Systems and ControlSpacecraft Dynamics and Control
Cited by 39
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Robust heart rate estimation using wrist-based PPG signals in the presence of intense physical activities
Zong, C., & Jafari, R. (2015) · 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic Control
Cited by 39
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Contact localization and motion analysis in the ocean environment: A perspective
Hassab, J. (1983) · IEEE Journal of Oceanic Engineering
Underwater Vehicles and Communication SystemsTarget Tracking and Data Fusion in Sensor Networks
Cited by 39
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Human vs. Machine: Behavioral Differences between Expert Humans and Language Models in Wargame Simulations
Lamparth, M., Corso, A., Ganz, J., Mastro, O. S., Schneider, J., & Trinkunas, H. (2024) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
Military Strategy and TechnologyEthics and Social Impacts of AI
Cited by 39
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Long-term performance of timber-concrete composite systems with notch-screw connections
Shi, B., Liu, W., Yang, H., & Ling, X. (2020) · Engineering Structures
Structural Load-Bearing AnalysisWood Treatment and Properties
Cited by 39
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Sequential Motion of 4D Printed Photopolymers with Broad Glass Transition
Inverardi, N., Pandini, S., Bignotti, F., Scalet, G., Marconi, S., & Auricchio, F. (2020) · Macromolecular Materials and Engineering
Advanced Materials and MechanicsPolymer composites and self-healing
Cited by 39
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Uniformity study of wafer-scale InP-to-silicon hybrid integration
Liang, D., Chapman, D. C., Li, Y., Oakley, D. C., Napoleone, T., Juodawlkis, P. W., Brubaker, C., Mann, C., Bar, H., Raday, O., et al. (2011) · Applied Physics A
3D IC and TSV technologiesPhotonic and Optical Devices
Cited by 39
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Smoothed Least-Laxity-First Algorithm for Electric Vehicle Charging: Online Decision and Performance Analysis with Resource Augmentation
Chen, N., Kurniawan, C., Nakahira, Y., Chen, L., & Low, S. H. (2022) · IEEE Transactions on Smart Grid
Electric Vehicles and InfrastructureSmart Grid Energy Management
Cited by 39
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Microfluidic model with air-walls reveals fibroblasts and keratinocytes modulate melanoma cell phenotype, migration, and metabolism
Ayuso, J. M., Sadangi, S., Lares, M., Rehman, S., Humayun, M., Denecke, K. M., Skala, M. C., Beebe, D. J., & Setaluri, V. (2021) · Lab on a Chip
3D Printing in Biomedical ResearchCancer Cells and Metastasis
Cited by 39
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Ultrasonic Based Tissue Modelling and Engineering
Olofsson, K., Hammarström, B., & Wiklund, M. (2018) · Micromachines
Microfluidic and Bio-sensing TechnologiesCellular Mechanics and Interactions
Cited by 39
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Calibration of Room Temperature Magnetic Sensor Array for Biomagnetic Measurement
Adachi, Y., Oyama, D., Terazono, Y., Hayashi, T., Shibuya, T., & Kawabata, S. (2019) · IEEE Transactions on Magnetics
Magnetic Field Sensors TechniquesAtomic and Subatomic Physics Research
Cited by 39
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Multimodal Fusion Object Detection System for Autonomous Vehicles
Person, M., Jensen, M., Smith, A. O., & Gutierrez, H. (2019) · Journal of Dynamic Systems, Measurement, and Control
Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications
Cited by 39
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Neutral-Point-Shift-Based Active Thermal Control for a Modular Multilevel Converter Under a Single-Phase-to-Ground Fault
Dong, Y., Yang, H., Li, W., & He, X. (2019) · IEEE Transactions on Industrial Electronics
HVDC Systems and Fault ProtectionMultilevel Inverters and Converters
Cited by 39
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The Cyber-physical E-machine Manufacturing System: Virtual Engineering for Complete Lifecycle Support
Konstantinov, S., Ahmad, M., Ananthanarayan, K., & Harrison, R. (2017) · Procedia CIRP
Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing Systems
Cited by 39
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On-board state of health estimation for lithium-ion batteries based on random forest
Chen, Z., Sun, M., Shu, X., Shen, J., & Xiao, R. (2018) · 2018 IEEE International Conference on Industrial Technology (ICIT)
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 39
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A Reduced-Order Model for Thermionic Hollow Cathodes
Albertoni, R., Pedrini, D., Paganucci, F., & Andrenucci, M. (2013) · IEEE Transactions on Plasma Science
Low-Pressure Plasma Processing and DiagnosticsVacuum and Plasma Arcs
Cited by 39
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AI in Power Systems and Energy Markets
Ramos, C., & Liu, C.-C. (2011) · IEEE Intelligent Systems
Electric Power System OptimizationSmart Grid and Power Systems
Cited by 39
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Application of Tribological Artificial Neural Networks in Machine Elements
Walker, J., Questa, H., Raman, A., Ahmed, M., Mohammadpour, M., Bewsher, S. R., & Offner, G. (2023) · Tribology Letters
Tribology and Lubrication EngineeringLubricants and Their Additives
Cited by 39
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High-throughput design of fiber reinforced cement-based composites using deep learning
Tong, Z., Huo, J., & Wang, Z. (2020) · Cement and Concrete Composites
Innovative concrete reinforcement materialsMachine Learning in Materials Science
Cited by 39
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Ternary MXene-loaded PLCL/collagen nanofibrous scaffolds that promote spontaneous osteogenic differentiation
Lee, S. H., Jeon, S., Qu, X., Kang, M. S., Lee, J. H., Han, D.-W., & Hong, S. W. (2022) · Nano Convergence
Bone Tissue Engineering MaterialsElectrospun Nanofibers in Biomedical Applications
Cited by 39
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Scottish Passive House: Insights into Environmental Conditions in Monitored Passive Houses
Foster, J., Sharpe, T., Poston, A., Morgan, C., & Musau, F. (2016) · Sustainability
Building Energy and Comfort OptimizationBuilding energy efficiency and sustainability
Cited by 39
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Tracing architects' fragile knowing about users in the socio-material environment of design practice
Van der Linden, V., Dong, H., & Heylighen, A. (2019) · Design Studies
Design Education and PracticeArchitecture, Modernity, and Design
Cited by 39
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