The last 10 years have witnessed the growth of artificial intelligence into different research
areas, emerging as a vibrant discipline with the capacity to process large amounts of …

The abuse of antibiotics has caused a serious threat to human life and health. It is urgent to
develop sensors that can detect multiple antibiotics quickly and efficiently. Biosensors are …

The atmospheric corrosion of carbon steel was monitored by a Fe/Cu type galvanic
corrosion sensor for 34 days. Using a random forest (RF)-based machine learning …

In this work, the atmospheric corrosion of carbon steels was monitored at six different sites
(and hence, atmospheric conditions) using Fe/Cu-type atmospheric corrosion monitoring …

Establishing a carbon market is widely regarded as an effective means of controlling global
carbon emission. Purchasing carbon emission right will increase the cost of enterprises …

Early detection and prediction of bio-tribocorrosion can avert unexpected damage that may
lead to secondary revision surgery and associated risks of implantable devices. Therefore …

The ability to analyze different electrochemical corrosion phenomena, in–situ, without
requiring any form of electrode perturbation has strongly attracted the attention of corrosion …

The objective of this paper is to develop an approach to forecast the outdoor atmospheric
corrosion rate of low alloy steels and do corrosion-knowledge mining by using a Random …

The paper proposes a new deep structure model, called Densely Connected Cascade
Forest-Weighted K Nearest Neighbors (DCCF-WKNNs), to implement the corrosion data …

Electrochemical probes and sensors have been developed to detect and monitor
atmospheric corrosion of metallic materials in the past 40 decades. Depending on the …