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Norah Fahd Alhussainan, Belgacem Ben Youssef and Mohamed Maher Ben Ismail
Brain tumor diagnosis traditionally relies on the manual examination of magnetic resonance images (MRIs), a process that is prone to human error and is also time consuming. Recent advancements leverage machine learning models to categorize tumors, such a...
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George Ioannou, Georgios Alexandridis and Andreas Stafylopatis
Importance sampling, a variant of online sampling, is often used in neural network training to improve the learning process, and, in particular, the convergence speed of the model. We study, here, the performance of a set of batch selection algorithms, n...
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Yue Ming, Rosalam Che Me, Jue Kun Chen and Rahmita Wirza O. K. Rahmat
The protection of intangible cultural heritage has received much attention, among which the ?ancient ceramic restoration technique? was included in The National List of Intangible Cultural Heritage of China (the fourth batch) in 2014. In preserving and r...
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Xuesong Cui, Minhui Xiao, Ran Tao, Rui Hu, Hans Ruppert, Willis Gwenzi and Chicgoua Noubactep
Granular metallic iron (gFe0) materials have been widely used for eliminating a wide range of pollutants from aqueous solutions over the past three decades. However, the intrinsic reactivity of gFe0 is rarely evaluated and existing methods for such evalu...
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Mengyuan Wang, Jiatao Gan, Changfeng Han, Yanbing Guo, Kaihao Chen, Ya-zhou Shi and Ben-gong Zhang
More and more researchers use single-cell RNA sequencing (scRNA-seq) technology to characterize the transcriptional map at the single-cell level. They use it to study the heterogeneity of complex tissues, transcriptome dynamics, and the diversity of unkn...
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Krishna Patel, Chintan Bhatt and Pier Luigi Mazzeo
One of the most critical issues that the marine surveillance system has to address is the accuracy of its ship detection. Since it is responsible for identifying potential pirate threats, it has to be able to perform its duties efficiently. In this paper...
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Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta and Marco Prato
It is well known that biomedical imaging analysis plays a crucial role in the healthcare sector and produces a huge quantity of data. These data can be exploited to study diseases and their evolution in a deeper way or to predict their onsets. In particu...
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Edvaldo Domingos, Blessing Ojeme and Olawande Daramola
Until recently, traditional machine learning techniques (TMLTs) such as multilayer perceptrons (MLPs) and support vector machines (SVMs) have been used successfully for churn prediction, but with significant efforts expended on the configuration of the t...
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Cristian Fabian Pérez, Diego Fernando Núñez Núñez, Herminia del Rosario Sanaguano Salguero, Luis Fernando Sánchez Quinchuela
A batch reactor was designed and built to obtain biodiesel from frying oil under sub-critical conditions, with the purpose of reducing the reaction time to the minimum possible. The design process is focused on the selection of the material and the verif...
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Lubna Sadaf Anchal, Abhinav Dubey, Prassana Kumar
Pág. Page:55 - 65Abstract
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