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RISState-of-Charge Estimation of Lithium-Ion Batteries Using Convolutional Neural Network With Self-Attention Mechanism
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: State of charge (SOC) of lithium-ion batteries is an indispensable performance indicator in a battery management system (BMS), which is essential to ensure the safe operation of the battery and avoid potential hazards. ...
StateofCharge Estimation of LithiumIon Batteries Using Convolutional Neural Network With SelfAttention Mechanism
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: State of charge (SOC) of lithiumion batteries is an indispensable performance indicator in a battery management system (BMS), which is essential to ensure the safe operation of the battery and avoid potential hazards. ...
Traffic-Flow Prediction of DLSTM-AE Model Based on RAdam Optimization
Publisher: ASCE
Abstract: In order to further fully extract the spatiotemporal and periodic characteristics of traffic flow, this paper adopts a combined model (DLSTM-AE) of autoencoder architecture and Deep Long Short-Term Memory neural networks ...
Extracting Arterial Access Density Impacts on Safety Performance Based on Clustering and Computational Analysis
Publisher: American Society of Civil Engineers
Abstract: Access density is defined as the number of accesses per unit length along an arterial. Numerous studies conducted in various regions have indicated that access density has a significant influence on crash occurrences and ...
Restraint Systems in Tactical Vehicles: Uncertainty Study Involving Airbags, Seatbelts, and Military Gear
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Adding advanced safety features (e.g., airbags) to restraint systems in tactical vehicles could decrease the injury risk of their occupants. The impact of frontal crashes on the occupants has been assessed recently through ...