Artificial Intelligence

This dataset includes real-world time-series statistics from network traffic on real commercial LTE networks in Greece. The purpose of this dataset is to capture the QoS/QoE of three COTS UEs interacting with three edge applications. Specifically, the following features are included:  Throughput and Jitter for each UE-Application and Channel Quality Indicator (CQI) for each UE. The interactions were generated from a realistic network behavior in an office by developing multiple network traffic scenarios.

This is the sample tracking result of our AdaMOT algorithm.

Gestational diabetes is a type of high blood sugar that develops during pregnancy. It can occur at any stage of pregnancy and cause problems for both the mother and the baby, during and after birth. The risks can be reduced if they are early detected and managed, especially in areas where only periodic tests of pregnant women are available. Intelligent systems designed by machine learning algorithms are remodelling all fields of our lives, including the healthcare system. This study proposes a combined prediction model to diagnose gestational diabetes.

The X-ray image of wrist bone is collected by professional sensing equipment. The radiation of the device is small enough to ensure the health of the subject. In order to ensure the standardization of X-ray images, remove all the handpieces of the left hand during the shooting process. The five fingers of the left hand should be naturally extended, and the palm should be kept downward. In addition, when shooting, the middle finger and forearm must be as straight as possible. The captured images are in DICOM format, with a size of 1626 × 2032 pixels.