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Bochen Duan, Shengping Wang, Changlong Luo and Zhigao Chen
In recent years, the surge in marine activities has increased the frequency of submarine pipeline failures. Detecting and identifying the buried conditions of submarine pipelines has become critical. Sub-bottom profilers (SBPs) are widely employed for pi...
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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...
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Navid Khalili Dizaji and Mustafa Dogan
Brain tumors are one of the deadliest types of cancer. Rapid and accurate identification of brain tumors, followed by appropriate surgical intervention or chemotherapy, increases the probability of survival. Accurate determination of brain tumors in MRI ...
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Kyriakos Apostolidis, Christos Kokkotis, Evangelos Karakasis, Evangeli Karampina, Serafeim Moustakidis, Dimitrios Menychtas, Georgios Giarmatzis, Dimitrios Tsiptsios, Konstantinos Vadikolias and Nikolaos Aggelousis
Stroke remains a predominant cause of mortality and disability worldwide. The endeavor to diagnose stroke through biomechanical time-series data coupled with Artificial Intelligence (AI) poses a formidable challenge, especially amidst constrained partici...
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Xiuwen Lu, Hongying Zhang, Qi Zhang and Xue Han
Accurate expression interpretation occupies a huge proportion of human-to-human communication. The control of expressions can facilitate more convenient communication between people. Expression recognition technology has also been transformed from relati...
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Tian Wang, Zhenbo Liu, Jixing Li, Yu Liu, Xingyu Ma and Jiong Yang
Manually preparing the data for the analysis of the calculation of a pipe network of air-cooled turbine blades is inefficient. In this paper, a method to adaptively divide the blade model and extract data of the flow units is proposed. In this method, th...
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Cesar G. Pachon, Diego Renza and Dora Ballesteros
One of the strategies adopted to compress CNN models for image classification tasks is pruning, where some elements, channels or filters of the network are discarded. Typically, pruning methods present results in terms of model performance before and aft...
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Doris Esenarro, Patricia Vasquez, Walter Morales and Vanessa Raymundo
The purpose of this research is to propose an architectural design for an Interpretation Center aimed at the revaluation of the flora and fauna of Cusco, Peru, in 2023. Due to the lack of awareness spaces, deforestation, water pollution, and the planting...
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Alexander A. Lobashev, Nikita A. Turko, Konstantin V. Ushakov, Maxim N. Kaurkin and Rashit A. Ibrayev
This paper presents a new method for finding the optimal positions for sensors used to reconstruct geophysical fields from sparse measurements. The method is composed of two stages. In the first stage, we estimate the spatial variability of the physical ...
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Muhammad Anwar Ishak, Abdul Halim Abdul Latiff, Eric Tatt Wei Ho, Muhammad Izzuljad Ahmad Fuad, Nian Wei Tan, Muhammad Sajid and Emad Elsebakhi
The prediction of subsurface properties such as velocity, density, porosity, and water saturation has been the main focus of petroleum geosciences. Advanced methods such as Full Waveform Inversion (FWI), Joint Migration Inversion (JMI) and ML-Rock Physic...
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