Intelligent localization and deep human activity recognition through IoT devices
Ubiquitous computing has been a green research area that has managed to attract and
sustain the attention of researchers for some time now. As ubiquitous computing …
sustain the attention of researchers for some time now. As ubiquitous computing …
[HTML][HTML] Machine learning-based modeling for structural engineering: A comprehensive survey and applications overview
Modeling and simulation have been extensively used to solve a wide range of problems in
structural engineering. However, many simulations require significant computational …
structural engineering. However, many simulations require significant computational …
Civil structural health monitoring and machine learning: a comprehensive review
In the past five years, the implementation of machine learning (ML) techniques has surged in
civil engineering applications, particularly for optimizing and predicting solutions to various …
civil engineering applications, particularly for optimizing and predicting solutions to various …
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …
smart city advancement activities have increased. A recycling process of waste relies on the …
Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights
Plagiarism detection (PD) in natural language processing involves locating similar words in
two distinct sources. The paper introduces a new approach to plagiarism detection utilizing …
two distinct sources. The paper introduces a new approach to plagiarism detection utilizing …
[HTML][HTML] Physics-guided deep learning based on modal sensitivity for structural damage identification with unseen damage patterns
Recently, wide attention has been paid to develop deep learning-based models for
structural damage identification. However, in most of the studies, the pure deep learning …
structural damage identification. However, in most of the studies, the pure deep learning …
A data mining-based analysis of cognitive intervention for college students' sports health using Apriori algorithm
Q Hao, WJ Choi, J Meng - Soft Computing, 2023 - Springer
In recent years, the importance of cognitive intervention promoting physical health and well-
being among college students has gained significant attention. The cognitive dimension is …
being among college students has gained significant attention. The cognitive dimension is …
An enhanced deep reinforcement learning-based slice acceptance control system (EDRL-SACS) for cloud–radio access network
Abstract In 5G networks, Network Slicing (NS) allows service providers (SPs) to create
customized standalone networks on shared platforms provided by infrastructure providers …
customized standalone networks on shared platforms provided by infrastructure providers …
Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal
Wind Turbines are the most crucial devices in wind energy conversion systems to increase
energy generation efficiency from wind sources. Blade failure in wind turbines is due to the …
energy generation efficiency from wind sources. Blade failure in wind turbines is due to the …
Quantitative damage evaluation of curved plates based on phased array guided wave and deep learning algorithm
Recent advances in phased array guided wave (PAGW) have demonstrated the potential of
minor damage detection and localization in widely used curved plates, but quantitative …
minor damage detection and localization in widely used curved plates, but quantitative …