Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network
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You, Huaiqian↗
SEARCH · Engineering Papers
Results for “networking”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Performance evaluation of communication networks for networked microgrids
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Ali, Ola (ORCID:0009000645431797)↗
Estimating Johnson-Cook Material Parameters using Neural Networks
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Titu, Nesar Ahmed↗
Chemical effects on neural network activity: Comparison of acute versus network formation exposure in microelectrode array assays
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Pharmacology & Pharmacy↗
Interpenetrating Network-Based Hybrid Solid and Gel Electrolytes for High Voltage Lithium Metal Batteries
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99 GENERAL AND MISCELLANEOUS↗
Network Topology Evaluation and Transitive Alignments for Molecular Networking
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Biochemistry & Molecular Biology↗
Wake state estimation of downwind turbines using recurrent neural networks for inverse dynamics modelling.
Abstract not provided.
Farrell, Wayne↗
Adaptive Data Rate Techniques for Energy Constrained Ad Hoc LoRa Networks.
Abstract not provided.
Heeger, Derek↗
StressBench: A Configurable Full System Network and I/O Benchmark Framework.
Abstract not provided.
Chester, D. G.↗
Traffic Signal Control for Large-Scale Urban Traffic Networks: Real-World Experiments using Vision-Based Sensors
Effective control of traffic signals plays a critical role in ensuring smooth vehicle flow in urban areas. Expertly engineered traffic signal controllers can considerably minimize travel delays and enhance sustainability. In this paper, the team proposes the Model Predictive Control (MPC) traffic signal control strategy using real-time traffic flow data from a vision-based camera as feedback information. Also, a realistic signal timing plan that considers National Electrical Manufacturers Association (NEMA) constraints has been developed to be applied to real-world scenarios. The primary aim is to reduce the number of vehicles across all links in the controlled area, thereby optimizing traffic flow and reducing energy consumption. To validate the proposed method, several real-life experiments were conducted at 24 intersections in Chattanooga, Tennessee, by collaborating with traffic field engineers. These experiments demonstrated significant performance improvements in comparison to the existing method.
data processing↗