|
|
|
|
|
Gulsum Alicioglu and Bo Sun
Deep learning (DL) models have achieved state-of-the-art performance in many domains. The interpretation of their working mechanisms and decision-making process is essential because of their complex structure and black-box nature, especially for sensitiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
May Alsaidi, Nadim Obeid, Nailah Al-Madi, Hazem Hiary and Ibrahim Aljarah
Autism spectrum disorder (ASD) is a developmental disorder that encompasses difficulties in communication (both verbal and non-verbal), social skills, and repetitive behaviors. The diagnosis of autism spectrum disorder typically involves specialized proc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rohan S. Sharma and Serhat Hosder
The intent of this work was to investigate the feasibility of developing machine learning models for calculating values of airplane configuration design variables when provided time-series, mission-informed performance data. Shallow artificial neural net...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hadi Rashidi, Mohsen Najarchi and Seyed Mohammad Mirhosseini Hezaveh
Scouring depends on several factors, including the water flow of artificial obstacles, sections, piers, and foundations, the disturbance of bed materials, and soil permeability. The other factors are the non-parallelism between piers and the water flow, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Faezeh Behzadi Pour, Lorena Parra, Jaime Lloret and Saman Abdanan Mehdizadeh
Acquiring the morphological parameters of fish with the traditional method (depending on human and non-automatic factors) not only causes serious problems, such as disease transmission, mortality due to stress, and carelessness and error, but it is also ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rafael Abrantes Penchel, Ivan Aldaya, Lucas Marim, Mirian Paula dos Santos, Lucio Cardozo-Filho, Veeriah Jegatheesan and José Augusto de Oliveira
Cleaner production has emerged as a comprehensive paradigm, aiming to reduce, or even avoid, the environmental impact in the production stage, in a broad variety of fields. However, the great number of interacting factors makes the assessment of efficien...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenyu Cao, Benbo Sun and Pengxiao Wang
Rapidly developed deep learning methods, widely used in various fields of civil engineering, have provided an efficient option to reduce the computational costs and improve the predictive capabilities. However, it should be acknowledged that the applicat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Linjing Hu, Jiachen Wang, Zhaoze Guo and Tengda Zheng
Power load forecasting plays an important role in power systems, and the accuracy of load forecasting is of vital importance to power system planning as well as economic efficiency. Power load data are nonsmooth, nonlinear time-series and ?noisy? data. T...
ver más
|
|
|
|
|
|
|
|
|
|
|
Federico Ricci, Luca Petrucci, Francesco Mariani and Carlo Nazareno Grimaldi
To carry out increasingly sophisticated checks, which comply with international regulations and stringent constraints, on-board computational systems are called upon to manipulate a growing number of variables, provided by an ever-increasing number of re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Afzal Ahmed, Manousos Valyrakis, Abdul Razzaq Ghumman, Rashid Farooq, Ghufran Ahmed Pasha, Shahmir Janjua and Ali Raza
This study examines the impact of upstream structures on the bulk drag coefficient of vegetation through experimental means, which has not been previously conducted. An embankment model was placed upstream of the vegetation, both with and without a moat/...
ver más
|
|
|
|
|
|