|
|
|
|
|
George Papageorgiou, Vangelis Sarlis and Christos Tjortjis
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Margarida Mendonça and Álvaro Figueira
As social media (SM) becomes increasingly prevalent, its impact on society is expected to grow accordingly. While SM has brought positive transformations, it has also amplified pre-existing issues such as misinformation, echo chambers, manipulation, and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yusuke Hoshino and Takashi Hirao
Artificial intelligence (AI) has become popular worldwide after technological breakthroughs in the early 2010s. Accordingly, many organizations and individuals have been using AI for various applications. Previous research has been dominated by case stud...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kara Combs, Adam Moyer and Trevor J. Bihl
Recently, generative artificial intelligence (GAI) has impressed the world with its ability to create text, images, and videos. However, there are still areas in which GAI produces undesirable or unintended results due to being ?uncertain?. Before wider ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yue Zha, Yuanzhi Ke, Xiao Hu and Caiquan Xiong
Named entity recognition (NER) is particularly challenging for medical texts due to the high domain specificity, abundance of technical terms, and sparsity of data in this field. In this work, we propose a novel attention layer, called the ?ontology atte...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jai Prakash Verma, Shir Bhargav, Madhuri Bhavsar, Pronaya Bhattacharya, Ali Bostani, Subrata Chowdhury, Julian Webber and Abolfazl Mehbodniya
The recent advancements in big data and natural language processing (NLP) have necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous textual data. Text summarization (TS) acts as an essential pillar within recommendat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Konstantinos Charmanas, Nikolaos Mittas and Lefteris Angelis
Security vulnerabilities constitute one of the most important weaknesses of hardware and software security that can cause severe damage to systems, applications, and users. As a result, software vendors should prioritize the most dangerous and impactful ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tri Kushartadi, Aditya Eka Mulyono, Azhari Haris Al Hamdi, Muhammad Afif Rizki, Muhammad Anwar Sadat Faidar, Wirawan Dwi Harsanto, Muhammad Suryanegara and Muhamad Asvial
The estimated global population for 2050 is 9 billion, which implies an increase in food demand. Agriculture is the primary source of food production worldwide, and improving its efficiency and productivity through an integration with information and com...
ver más
|
|
|
|
|
|