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Bilal Ahmed Chandio, Ali Shariq Imran, Maheen Bakhtyar, Sher Muhammad Daudpota and Junaid Baber
Deep neural networks have emerged as a leading approach towards handling many natural language processing (NLP) tasks. Deep networks initially conquered the problems of computer vision. However, dealing with sequential data such as text and sound was a n...
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Oscar Sapena and Eva Onaindia
The way of understanding online higher education has greatly changed due to the worldwide pandemic situation. Teaching is undertaken remotely, and the faculty incorporate lecture audio recordings as part of the teaching material. This new online teaching...
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Shelley Gupta, Archana Singh and Vivek Kumar
Virtual users generate a gigantic volume of unbalanced sentiments over various online crowd-sourcing platforms which consist of text, emojis, or a combination of both. Its accurate analysis brings profits to various industries and their services. The sta...
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Cyrille YetuYetu Kesiku, Andrea Chaves-Villota and Begonya Garcia-Zapirain
The classification of biomedical literature is engaged in a number of critical issues that physicians are expected to answer. In many cases, these issues are extremely difficult. This can be conducted for jobs such as diagnosis and treatment, as well as ...
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Damião Ribeiro de Almeida, Cláudio de Souza Baptista and Fabio Gomes de Andrade
The use of location-based sensors has increased exponentially. Tracking moving objects has become increasingly common, consolidating a new field of research that focuses on trajectory data management. Such trajectories may be semantically enriched using ...
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Ahmad Taufik Nursal,Mohd Faizal Omar,Mohd Nasrun Mohd Nawi
Pág. pp. 171 - 184
Due to the competitive Malaysian residential market with a large number of residential projects that offered almost similar features lead to difficulties of residential purchasing among homebuyers. These days, homebuyers are very selective, careful, and ...
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Xieling Chen, Haoran Xie, Gary Cheng, Leonard K. M. Poon, Mingming Leng and Fu Lee Wang
Natural language processing (NLP) is an effective tool for generating structured information from unstructured data, the one that is commonly found in clinical trial texts. Such interdisciplinary research has gradually grown into a flourishing research f...
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Viera Maslej-Kre?náková, Martin Sarnovský, Peter Butka and Kristína Machová
The emergence of anti-social behaviour in online environments presents a serious issue in today?s society. Automatic detection and identification of such behaviour are becoming increasingly important. Modern machine learning and natural language processi...
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Pablo Gamallo and Marcos Garcia
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Ireneusz Kubiak
Computer fonts can be a solution that supports the protection of information against electromagnetic penetration; however, not every font has features that counteract this process. The distinctive features of a font?s characters define the font. This art...
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William John Teahan
A novel compression-based toolkit for modelling and processing natural language text is described. The design of the toolkit adopts an encoding perspective?applications are considered to be problems in searching for the best encoding of different transfo...
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Danilo Medeiros Eler, Denilson Grosa, Ives Pola, Rogério Garcia, Ronaldo Correia and Jaqueline Teixeira
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Marcos Orellana, Patricio Santiago García, Guillermo Daniel Ramon, Jorge Luis Zambrano-Martinez, Andrés Patiño-León, María Verónica Serrano and Priscila Cedillo
Health problems in older adults lead to situations where communication with peers, family and caregivers becomes challenging for seniors; therefore, it is necessary to use alternative methods to facilitate communication. In this context, Augmentative and...
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Andra Sandu, Liviu-Adrian Cotfas, Aurelia Stanescu and Camelia Delcea
Natural language processing (NLP) plays a pivotal role in modern life by enabling computers to comprehend, analyze, and respond to human language meaningfully, thereby offering exciting new opportunities. As social media platforms experience a surge in g...
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Archana Tikayat Ray, Bjorn F. Cole, Olivia J. Pinon Fischer, Ryan T. White and Dimitri N. Mavris
The system complexity that characterizes current systems warrants an integrated and comprehensive approach to system design and development. This need has brought about a paradigm shift towards Model-Based Systems Engineering (MBSE) approaches to system ...
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Mohammed Alsuhaibani, Rehan Ullah Khan, Ali Mustafa Qamar and Suliman A. Alsuhibany
Bloom filters are a type of data structure that is used to test whether or not an element is a member of a set. They are known for being space-efficient and are commonly employed in various applications, such as network routers, web browsers, and databas...
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Kerdkiat Suvirat, Detphop Tanasanchonnakul, Sawrawit Chairat and Sitthichok Chaichulee
Medical coding plays an essential role in medical billing, health resource planning, clinical research and quality assessment. Automated coding systems offer promising solutions to streamline the coding process, improve accuracy and reduce the burden on ...
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Andrea Pozzi, Enrico Barbierato and Daniele Toti
In the last decade, the techniques of news aggregation and summarization have been increasingly gaining relevance for providing users on the web with condensed and unbiased information. Indeed, the recent development of successful machine learning algori...
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Luis Alberto Martínez Hernández, Ana Lucila Sandoval Orozco and Luis Javier García Villalba
Due to the advancement of technology, cybercrime has increased considerably, making digital forensics essential for any organisation. One of the most critical challenges is to analyse and classify the information on devices, identifying the relevant and ...
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Kai-Fu Yang, Yi-Ru Lin and Long-Sheng Chen
Crowdfunding can simplify the financing process to raise large amounts of money to complete projects for startups. However, improving the success rate has become one of critical issues. To achieve this goal, fundraisers need to create a short video, attr...
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