Integration of Machine Learning (ML) techniques into public administration marks a new and transformative era for e-government systems.While traditionally e-government studies focused on text-based interactions, this one explores the innovative application of ML for image analysis, an approach that enables governments to address citizen petitions m
Non-Orthogonal Artificial Noise (NORAN) has garnered significant attention in modern communication systems as a substitute for traditional Artificial Noise (AN), due to its independence from channel degrees of freedom.However, the design of NORAN leads to a reduction in the channel capacity of legitimate channels, thereby limiting its application i
Burkan Nasr,1 Sameh Khalil Gazem,2 Rashad Saleh MASCARA CLASSIC BLACK #1305 Al-gahafy3 1Department of General Surgery, University of Aden, Aden, Yemen; 2Department of General Surgery, Al-Hawbani Hospital, Bajel, Al-Hodeidah, Yemen; 3Department of Radiology, Al-Hawbani Hospital, Bajel, Al-Hodeidah, YemenCorrespondence: Burkan Nasr, Email Burkan.nase
Kun-Chun Chiang,1 Sheng-Teng Huang,2 Ren-Chin Wu,3 Shih-Chiang Huang,3 Ta-Sen Yeh,4 Ming-Huang Chen,5 Jun-Te Hsu,4 Li-Wei Chen,6 Sheng-Fong Kuo,7 Ho-Yen Chueh,8 Horng-Heng Juang,9 Shuen-Iu Hung,10 Chun-Nan Yeh,4 Jong-Hwei S Pang11,12 1General Surgery Department, Chang Gung Memorial Hospital, Chang Gung University, Keelung, Taiwan, ROC; 2Department
Abstract Background On mammography many cancers may be missed even in retrospect either due to the breast density, the small size of the tumor or the subtle signs of cancer that are imperceptible.We aimed to compare the sensitivity of artificial intelligence (AI) to that of digital mammography in the detection of different types of breast cancer.Al