Feature selection is an important task in predictive models which helps to identify the irrelevant steely dan gaucho t-shirt features in the high - dimensional dataset.In this case of water contamination detection dataset, the standard wrapper algorithm alone cannot be applied because of the complexity.To overcome this computational complexity prob
Negative Affect and Problematic Binge-Watching: The Mediating Role of Unconstructive Ruminative Thinking Style
The practice of binge-watching (i.e., watching multiple episodes of TV series in one session) has become increasingly prevalent, but comprehending its nature and potential underlying factors has been challenging.In particular, problematic binge-watching remains ill-defined and conceptualized, being regarded either as an addictive behaviour or a mal
Clustering Denoising of 2D LiDAR Scanning in Indoor Environment Based on Keyframe Extraction
In the insulated debakey indoor laser simulation localization and mapping (SLAM) system, the signal emitted by the LiDAR sensor is easily affected by lights and objects with low reflectivity during the transmission process, resulting in more noise points in the laser scan.To solve the above problem, this paper proposes a clustering noise reduction
Emerging applications of nanofibers electrospun from carbohydrate polymers
ABSTRACT: Electrospinning is a simple and versatile technique that uses electrostatic forces to create fibers in the nano to micro range from a variety of materials, both synthetic and natural.Due to the high surface area to volume ratio, high porosity, and desirable mechanic characteristics of electrospun fibers, they are of current interest for a