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) [...]
Thi Thu Em Vo, Hyeyoung Ko, Jun-Ho Huh, Yonghoon Kim
Smart aquaculture is nowadays one of the sustainable development trends for the aquaculture industry in intelligence and automation. Modern intelligent technologies have brought huge benefits to many fields including aquaculture to reduce labor, enhance aquaculture production, an…
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 [...]
Ganggang Dong, Yuanxin Ye, Zhongling Huang
Over the last two decades, the realm of image recognition has undergone a remarkable transformation, characterized by an astonishing pace of advancement [...]
Victor Chang, Qianwen Ariel Xu, Anyamele Chidozie, Hai Wang
The volatile and non-linear nature of stock market data, particularly in the post-pandemic era, poses significant challenges for accurate financial forecasting. To address these challenges, this research develops advanced deep learning and machine learning algorithms to predict f…
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…
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…