|
|
|
Weiming Fan, Jiahui Yu and Zhaojie Ju
Endoscopy, a pervasive instrument for the diagnosis and treatment of hollow anatomical structures, conventionally necessitates the arduous manual scrutiny of seasoned medical experts. Nevertheless, the recent strides in deep learning technologies proffer...
ver más
|
|
|
|
|
|
George Westergaard, Utku Erden, Omar Abdallah Mateo, Sullaiman Musah Lampo, Tahir Cetin Akinci and Oguzhan Topsakal
Automated Machine Learning (AutoML) tools are revolutionizing the field of machine learning by significantly reducing the need for deep computer science expertise. Designed to make ML more accessible, they enable users to build high-performing models wit...
ver más
|
|
|
|
|
|
Elliasu Y. Salifu, Mbuso A. Faya, James Abugri and Pritika Ramharack
Cancer remains a major challenge in the field of medicine, necessitating innovative therapeutic strategies. Mitogen-activated protein kinase (MAPK) signaling pathways, particularly Extracellular Signal-Regulated Kinase 1 and 2 (ERK1/2), play pivotal role...
ver más
|
|
|
|
|
|
Songyang Wang, Jianjun Ma, Chaosheng Wang, Fengjun Liu and Da Li
The scouring effect is widely acknowledged as a primary contributor to the weakening in the bearing performance of offshore piles; it often results in asymmetric scour patterns around the pile. To meticulously examine the impact of three-dimensional asym...
ver más
|
|
|
|
|
|
Francesco Caridi, Antonio Francesco Mottese, Giuseppe Paladini, Santina Marguccio, Maurizio D?Agostino, Alberto Belvedere, Domenico Majolino and Valentina Venuti
In this article, an investigation into the natural radioactivity content in natural inorganic pigments was carried out, together with the assessment of the radiological health risk for the public related to external exposure to ionizing radiations, via H...
ver más
|
|
|