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/PRNewswire/ -- Is this the new competitor to the goliaths of the financial world? Crypto arbitrage is a market where high speed and precision dictate whether...
Cloud failure is one of the critical issues since it can cost millions of dollars to cloud service providers, in addition to the loss of productivity suffered by industrial users. Fault tolerance management is the key approach to address this issue, and failure prediction is one of the techniques to prevent the occurrence of a failure. One of the main challenges in performing failure prediction is to produce a highly accurate predictive model. Although some work on failure prediction models has been proposed, there is still a lack of a comprehensive evaluation of models based on different type...
Purpose: User feedback inferred from the user's search-time behavior could improve the learning to rank (L2R) algorithms. Click models (CMs) present probabilistic frameworks for describing and predicting the user's clicks during search sessions. Most of these CMs are based on common assumptions such as Attractiveness, Examination and User Satisfaction. CMs usually consider the Attractiveness and Examination as pre- and post-estimators of the actual relevance. They also assume that User Satisfaction is a function of the actual relevance. This paper extends the authors' previous w...
In an article published in the journal Electronics, researchers analyzed the object classification methods based on data fusion of airborne light detection and ranging (LiDAR) point clouds and optical remote sensing images.
In an article published in the Canadian Journal of Remote Sensing, researchers demonstrated that crop classifications from RADARSAT Constellation Mission (RCM) Compact Polarimetric (CP) imagery could be made with high accuracy, supporting prior findings that were based on simulated CP data.