Artificial intelligence (AI) methodologies, particularly deep neural networks—often referred to as deep learning models—have emerged as the foundational techniques for addressing computer vision tasks across a broad spectrum of applications [...]
Aili Wang, Haibin Wu, Yuji Iwahori
(1) Computer Vision: The field of computer vision is making significant strides in dynamic reasoning capability through test-time scaling (TTS) [...]
Andra Sandu, Liviu-Adrian Cotfas, Camelia Delcea, Corina Ioanăș, Margareta-Stela Florescu, Mihai Orzan
Fake news is one of the biggest challenging issues in today’s technological world and has a huge impact on the population’s decision-making and way of thinking. Disinformation can be classified as a subdivision of fake news, the main purpose of which is to manipulate and generate…
Andra Sandu, Liviu-Adrian Cotfas, Camelia Delcea, Corina Ioanăș, Margareta-Stela Florescu, Mihai Orzan
In the original publication [...]
Florin Covaciu, Bogdan Gherman, Nadim Al Hajjar, Ionut Zima, Calin Popa, Alexandru Pusca, et al.
Manual alignment between the trocar, surgical instrument, and robot during minimally invasive surgery (MIS) can be time-consuming and error-prone, and many existing systems do not provide autonomous localization and pose estimation. This paper presents an artificial intelligence…
Rúben Machado, Luis A. M. Barros, Vasco Vieira, Flávio Dias da Silva, Hugo Costa, Vitor Carvalho
Fabric defect detection is essential for quality assurance in textile manufacturing, where manual inspection is inefficient and error-prone. This paper presents a real-time deep learning-based system leveraging YOLOv11 for detecting defects such as holes, color bleeding and creas…
Recent advances in the field of artificial intelligence (AI) have been pivotal in enhancing the effectiveness and efficiency of many systems and in all fields of knowledge, including medical diagnosis [...]