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Engineering night lighting solar lights

Engineering | Journal | ScienceDirect by Elsevier

The official journal of the and is an international open-access journal that was launched by the Chinese Academy of Engineering (CAE) in 2015. Its aims are to provide a high-level platform

Earthquake recurrence inferred from paleoseismology

Collectively termed the eastern California shear zone, these faults accommodate lateral motion not absorbed by the San Andreas. Movement on some of them produced surface ruptures and

Physics-guided convolutional neural network (PhyCNN) for data

A 6-story hotel building in San Bernardino, CA, from the Center for Engineering Strong Motion Data (CESMD), is selected and investigated [65]. The deep PhyCNN model

Ground motion inversion utilizing sensor-based

For Case 2, the proposed methodology is applied to GM inversion using real-world field sensing data from a 6-story hotel building in San Bernardino, California, sourced from the

Guide for authors

Engineering Structures provides a forum for a broad blend of scientific and technical papers to reflect the evolving needs of the structural engineering and structural mechanics communities.

Deep long short-term memory networks for nonlinear structural

The satisfactory performance of the proposed LSTM-s model was further illustrated through an instrumented building (e.g., a 6-story hotel building in San Bernardino, California)

Attention-based hybrid network for structural nonlinear response

To illustrate the effectiveness of the approach, we provide an example, which focused on a 6-story hotel building in San Bernardino, California, selected from the

Physics-guided convolutional neural network (PhyCNN) for data

To extensively utilize the limited sensing data in this study, an unsupervised learning technique based on the K-means algorithm is proposed for data clustering. To better

Artificial intelligence and machine learning in mechanical

This review examines the transformative influence of artificial intelligence (AI) and machine learning (ML) on mechanical engineering, emphasizing app

A hyper-concentrated sediment yield prediction model using

A Real-Time Debris Prediction Model (USCDPM) Incorporating wildfire and subsequent storm events, PhD Thesis, University of Southern California, Los Angeles, California.