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Weiming Fan, Jiahui Yu and Zhaojie Ju
Endoscopy, a pervasive instrument for the diagnosis and treatment of hollow anatomical structures, conventionally necessitates the arduous manual scrutiny of seasoned medical experts. Nevertheless, the recent strides in deep learning technologies proffer...
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Laura Plaza, Lourdes Araujo, Fernando López-Ostenero and Juan Martínez-Romo
Online learning is quickly becoming a popular choice instead of traditional education. One of its key advantages lies in the flexibility it offers, allowing individuals to tailor their learning experiences to their unique schedules and commitments. Moreo...
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Furkat Safarov, Mainak Basak, Rashid Nasimov, Akmalbek Abdusalomov and Young Im Cho
In the rapidly evolving landscape of internet usage, ensuring robust cybersecurity measures has become a paramount concern across diverse fields. Among the numerous cyber threats, denial of service (DoS) and distributed denial of service (DDoS) attacks p...
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Yanrui Zhai, Xiran Zhou and Honghao Li
The emergence of the third information wave makes extensive maps available to be generated by volunteered ways, never specially designed and generated by professional institutes alone. These large-scale images-based volunteered maps created by the public...
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Mingyong Yin, Yixiao Xu, Teng Hu and Xiaolei Liu
Despite the success of learning-based systems, recent studies have highlighted video adversarial examples as a ubiquitous threat to state-of-the-art video classification systems. Video adversarial attacks add subtle noise to the original example, resulti...
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Mehran Nasseri, Taha Falatouri, Patrick Brandtner and Farzaneh Darbanian
In the realm of retail supply chain management, accurate forecasting is paramount for informed decision making, as it directly impacts business operations and profitability. This study delves into the application of tree-based ensemble forecasting, speci...
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Santiago Criollo-C, Andrea Guerrero-Arias, Jack Vidal, Ángel Jaramillo-Alcazar and Sergio Luján-Mora
The main objective of this research is a working example of how a hybrid methodology combining traditional methodologies and mobile devices can be used to contribute to the literature on mobile learning in teaching English as a second language. This work...
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Waref Almanaseer, Mohammad Alshraideh and Omar Alkadi
Deep learning has emerged as a new area of machine learning research. It is an approach that can learn features and hierarchical representation purely from data and has been successfully applied to several fields such as images, sounds, text and motion. ...
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Dhananjay Thiruvady, Kerri Morgan, Susan Bedingfield and Asef Nazari
The increasing demand for work-ready students has heightened the need for universities to provide work integrated learning programs to enhance and reinforce students? learning experiences. Students benefit most when placements meet their academic require...
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Qicai Wang, Peiyu Liu, Zhenfang Zhu, Hongxia Yin, Qiuyue Zhang and Lindong Zhang
As a core task of natural language processing and information retrieval, automatic text summarization is widely applied in many fields. There are two existing methods for text summarization task at present: abstractive and extractive. On this basis we pr...
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