This study aims to provide a comprehensive overview of research trends in authentic and diagnostic assessments, analyze the factors that influence their implementation and effectiveness, and the potential for optimizing both assessments to improve the quality of Islamic learning.Using the Systematic Literature Review method with Watase Uake and Pub
Automated Screening for Abdominal Aortic Aneurysm in CT Scans under Clinical Conditions Using Deep Learning
Abdominal aortic aneurysms (AAA) may remain clinically silent until they enlarge and patients present with a potentially lethal rupture.This necessitates early detection and elective treatment.The goal of this study was to develop an easy-to-train algorithm which is capable of automated AAA screening in CT scans and can be applied to an intra-hospi
Real-time detection of malicious intrusions and attacks in cybersecurity infrastructures enabled by IOT
Malicious software, PC infections, and other unfriendly attacks may all impact a PC organization.Interruption location, which is a functioning guarded instrument, is a basic part of organization security.Conventional interruption recognition frameworks incorporate issues like low accuracy, unfortunate identification, a high level of false positives
Implicit binding of facial features during change blindness.
Change blindness refers to the inability to detect visual changes if introduced together with an eye-movement, blink, flash of light, or with distracting stimuli.Evidence of implicit detection of changed visual features during change blindness has been reported in a number of studies using both behavioral and neurophysiological measurements.However