Concept drift primarily refers to an online supervised learning scenario when the relation between the input data and the target variable changes over time. Assuming a general knowledge of supervised learning in this paper we characterize adaptive learning process, categorize existing strategies for handling concept drift, overview the most representative, distinct and popular techniques and al...

Steel Plate Shear Wall (SPSW) is an emerging seismic load-resistant system that, compared to other systems, enjoys the advantages of stable ductile behavior, fewer detailing requirements, rapid constructability, and economy. American seismic provisions decree that a SPSW should be designed as a moment frame with a web infill plate. Specifically, in case of buildings taller than 160 ft, it decre...

Spraying pesticides using air induction nozzles is a well-known method to reduce drift. These drift-reducing have been tested on many different tree crops (such as apples, citrus, and grapes), but we are still lacking information their utilization hazelnut (Corylus avellana L.) groves, although major nut crop in Italy, recent years its cultivated area has constantly growing. This paper reports ...

a total of 2519 blood samples were collected from five distinct populations of larestan, in fars province, in iran (lar, gerash, khour, latifi and berake) were examined for abo and rh blood groups. the gene frequencies obtained from these samples were compared with the hitherto reported corresponding data from other populations of fars province to determine the genetic structure of the larestan...

“The bigger they are, the harder they fall” is a bit of wisdom that’s been around for a long time. But when it comes to pesticide application, the line should read, “The bigger they are, the closer they fall.” Large droplets are not as likely to drift off-target as smaller droplets. This basic principle lies behind many innovations to reduce drift when spraying herbicides. Nozzle manufacturers ...

Spray drift is the movement of a pesticide through the air, during or after application, to a site other than the intended target. Drift is considered to be the most challenging problem facing applicators and pesticide manufacturers. Although drift may occur as vaporized active pesticide from the application site, it is usually the physical movement of very small drops from the target area at t...

Image target tracking is an important part in computer vision field, and has a broad application prospect in modern society. Lack of online learning function, the traditional target tracking algorithm was based on the single track as long as possible. The target deformation and occlusion will lead to target tracking lost. TLD (tracking-learningdetection) is the long-term effective algorithm in ...

Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The reason is that these systems are able to characterize the applications’ normal behavior in an automated fashion. However, anomaly-based detectors for web applications suffer from false positives that are generated whene...