… In this study, it is aimed to develop a machine learning model that can be used as a … with
an anomaly detection method. Machine learning consists of a supervised learning DNN model …

… Detection System is proposed to detect one type of DDoS attack known as Gray-hole attack
by using machine learning … The proposed model utilizes Support Vector Machine (SVM) to …

… only holes and leaks, but also defects that do not lead to a hole … be important enough to be
detected. For construction defects (… These two types of defects, as well as holes, are however …

… By employing the renowned CNN training and parameters adjustment using basic algorithms
of machine learning, we attempted to optimize the existing image processing. This proved …

… hole diameter and x and y are coordinates calculated from the geometric center of the hole
… fixed, which leads to a variance of the hole length when the injection angle is changing. The …

… insights into real-time detection of hole cleaning and wellbore … allow image classification and
object detection. Then a deep … not considered optimum for machine learning. In the future, a …

… techniques, both traditional and machine learning (ML)-based, … detector for hole detection,
complemented by a 3D surface reconstruction method. The data acquired from this detection …

… considers the machine learning technique support vector machine (… detection in this research
work, after optimal feature selection, a SVM regressor is suggested for anomaly detection …

… The machine learning algorithms can find patterns and … approaches by learning from previous
occurrences of coverage holes. In … WSN environments for more accurate hole detection. …

… The subject of this paper is the implementation of an automated machine learning (ML) …
The heavy mud was replaced and the open hole section was logged, where the bottom of …