首页|New Machine Learning Study Findings Have Been Reported by a Researcher at Univer sity of Gaziantep (Utilizing machine learning techniques for enhanced water qual ity monitoring)
New Machine Learning Study Findings Have Been Reported by a Researcher at Univer sity of Gaziantep (Utilizing machine learning techniques for enhanced water qual ity monitoring)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of Gaziantep, Turkey, by NewsRx editors, research stated, “ABSTRACT: Water quality is an important issue for environmental health.” The news journalists obtained a quote from the research from University of Gazia ntep: “It directly impacts human well-being, ecosystem sustainability and socioe conomic development. This paper provides an overview for water quality assesment by integrating traditional methods with computational technology. Dimensionalit y reduction is considered an essential preprocessing step in any data analysis t ask which can be performed by using either feature selection or feature extracti on methods. In this study, we propose an autoencoder-based feature selection met hod that can be used with both labeled and unlabeled data. It can be implemented with an arbitrary number of hidden layers in the symmetric encoder part of the autoencoder and provides results that compare favorably with the results provide d by computationally more expensive methods and also provides a quantitatively o rdered rank of features for the features in the dataset.”
University of GaziantepGaziantepTurk eyEurasiaCyborgsEmerging TechnologiesMachine Learning
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