Improving electric energy consumption prediction using CNN and Bi-LSTM
The electric energy consumption prediction (EECP) is an essential and complex task in
intelligent power management system. EECP plays a significant role in drawing up a …
intelligent power management system. EECP plays a significant role in drawing up a …
Underground sewer pipe condition assessment based on convolutional neural networks
Surveys for assessing the condition of sewer pipeline systems are mainly based on video
surveillance or CCTV, which is a time-consuming process that relies heavily on human labor …
surveillance or CCTV, which is a time-consuming process that relies heavily on human labor …
NURBS-based postbuckling analysis of functionally graded carbon nanotube-reinforced composite shells
An investigation into the postbuckling and geometrically nonlinear behaviors of functionally
graded carbon nanotube-reinforced composite (FG-CNTRC) shells is carried out in this …
graded carbon nanotube-reinforced composite (FG-CNTRC) shells is carried out in this …
A C0-HSDT free vibration of magneto-electro-elastic functionally graded porous plates using a moving Kriging meshfree method
This research examines the natural vibration analysis of magneto-electro-elastic functionally
graded porous (MEE-FGP) plates. The study employs a moving Kriging (MK) meshfree …
graded porous (MEE-FGP) plates. The study employs a moving Kriging (MK) meshfree …
Nonlinear static and dynamic isogeometric analysis of functionally graded microplates with graphene-based nanofillers reinforcement
The main contribution of this study is to propose an efficient and straightforward numerical
model for exploring size-dependent geometrically nonlinear static and dynamic …
model for exploring size-dependent geometrically nonlinear static and dynamic …
Dynamics of perforated nanobeams subject to moving mass using the nonlocal strain gradient theory
In the present manuscript, based on the nonlocal strain gradient theory, a nonclassical
dynamic finite element model is developed to study and analyze the dynamic behavior of …
dynamic finite element model is developed to study and analyze the dynamic behavior of …
A meshfree approach using naturally stabilized nodal integration for multilayer FG GPLRC complicated plate structures
In this study, a meshfree approach using a naturally stabilized nodal integration (NSNI)
integrated with a higher-order shear deformation theory (HSDT) for free vibration analysis of …
integrated with a higher-order shear deformation theory (HSDT) for free vibration analysis of …
Face image manipulation detection based on a convolutional neural network
Facial image manipulation is a particular instance of digital image tampering, which is done
by compositing a region from one facial image into another facial image. Fake images …
by compositing a region from one facial image into another facial image. Fake images …
A hybrid approach using oversampling technique and cost‐sensitive learning for bankruptcy prediction
The diagnosis of bankruptcy companies becomes extremely important for business owners,
banks, governments, securities investors, and economic stakeholders to optimize the …
banks, governments, securities investors, and economic stakeholders to optimize the …
A novel analysis-prediction approach for geometrically nonlinear problems using group method of data handling
A novel analysis-prediction (ANP) approach for geometrically nonlinear problems of solid
mechanics is for the first time proposed in this paper. The key concept of this approach is:(1) …
mechanics is for the first time proposed in this paper. The key concept of this approach is:(1) …