|
|
|
|
|
Josue-Rafael Montes-Martínez, Hugo Jiménez-Hernández, Ana-Marcela Herrera-Navarro, Luis-Antonio Díaz-Jiménez, Jorge-Luis Perez-Ramos and Julio-César Solano-Vargas
Artificial vision system applications have generated significant interest as they allow information to be obtained through one or several of the cameras that can be found in daily life in many places, such as parks, avenues, squares, houses, etc. When th...
ver más
|
|
|
|
|
|
|
|
|
Samuel Molcan, Monika Smie?ková, Hynek Bachratý, Katarína Bachratá and Peter Novotný
The elasticity of red blood cells (RBCs) plays a vital role in their efficient movement through blood vessels, facilitating the transportation of oxygen within the bloodstream. However, various diseases significantly impact RBC elasticity, making it an i...
ver más
|
|
|
|
|
|
|
|
|
Grigori Sidorov, Fazlourrahman Balouchzahi, Sabur Butt and Alexander Gelbukh
In this paper, we analyzed the performance of different transformer models for regret and hope speech detection on two novel datasets. For the regret detection task, we compared the averaged macro-scores of the transformer models to the previous state-of...
ver más
|
|
|
|
|
|
|
|
|
Jawaher Alghamdi, Yuqing Lin and Suhuai Luo
The prevalence of fake news on social media has led to major sociopolitical issues. Thus, the need for automated fake news detection is more important than ever. In this work, we investigated the interplay between news content and users? posting behavior...
ver más
|
|
|
|
|
|
|
|
|
Uma Rajasekaran, Mohanaprasad Kothandaraman and Chang Hong Pua
Significant water loss caused by pipeline leaks emphasizes the importance of effective pipeline leak detection and localization techniques to minimize water wastage. All of the state-of-the-art approaches use deep learning (DL) for leak detection and cro...
ver más
|
|
|
|