Pinned Repositories
HealthPrediction
Non-invasive Health Prediction from Visually Observable Features. The unprecedented development of Artificial Intelligence has revolutionised the healthcare industry. In the next generation of healthcare systems, self-diagnosis will be pivotal to personalised healthcare services. During the COVID-19 pandemic, new screening and diagnostic approaches like mobile health are well-positioned to reduce disease spread and overcome geographical barriers. This paper presents a non-invasive screening approach to predict the health of a person from visually observable features using machine learning techniques. Images like face and skin surface of the patients are acquired using camera or mobile devices and analysed to derive clinical reasoning and prediction of the person’s health. In specific, a two-level classification approach is presented. The proposed hierarchical model chooses a class by training a binary classifier at the node of the hierarchy. Prediction is then made using a set of class-specific reduced feature set. Empirical results demonstrate that the proposed approach yields favourable prediction results while greatly reduces the computational time.
LaneDetection
Autonomous vehicles are important in smart transportation. Although exciting progresses have been made, it remains challenging to design a safety mechanism for autonomous vehicle despite uncertainties and obstacles that occur dynamically on the road. Collision detection and avoidance are indispensable for a reliable decision-making module in autonomous driving.
MyMqtt
Hi, just exploring on Mqtt using c# and python. You may refer to this codes for anyone want to try M2M communication using MQTT to make a better world!
gkomix88's Repositories
gkomix88/HealthPrediction
Non-invasive Health Prediction from Visually Observable Features. The unprecedented development of Artificial Intelligence has revolutionised the healthcare industry. In the next generation of healthcare systems, self-diagnosis will be pivotal to personalised healthcare services. During the COVID-19 pandemic, new screening and diagnostic approaches like mobile health are well-positioned to reduce disease spread and overcome geographical barriers. This paper presents a non-invasive screening approach to predict the health of a person from visually observable features using machine learning techniques. Images like face and skin surface of the patients are acquired using camera or mobile devices and analysed to derive clinical reasoning and prediction of the person’s health. In specific, a two-level classification approach is presented. The proposed hierarchical model chooses a class by training a binary classifier at the node of the hierarchy. Prediction is then made using a set of class-specific reduced feature set. Empirical results demonstrate that the proposed approach yields favourable prediction results while greatly reduces the computational time.
gkomix88/LaneDetection
Autonomous vehicles are important in smart transportation. Although exciting progresses have been made, it remains challenging to design a safety mechanism for autonomous vehicle despite uncertainties and obstacles that occur dynamically on the road. Collision detection and avoidance are indispensable for a reliable decision-making module in autonomous driving.
gkomix88/MyMqtt
Hi, just exploring on Mqtt using c# and python. You may refer to this codes for anyone want to try M2M communication using MQTT to make a better world!