IntroductionThe migration of business and scientific operations to the cloud and the surge in data from IoT devices have intensified the complexity of cloud resource scheduling.Ensuring efficient resource distribution in line with user-specified Boxes SLA and QoS demands novel scheduling solutions.This study scrutinizes contemporary Virtual Machine
Respondent-driven sampling (RDS) offers a recruitment strategy for hard-to-reach populations.However, RDS faces logistical and theoretical challenges that threaten efficiency and validity in settings worldwide.We present innovative adaptations to conventional RDS to overcome barriers encountered in recruiting a large, representative sample of men w
This paper presents a new texture descriptor booster, Complete Local Oriented Statistical Information Booster (CLOSIB), based on statistical information of the image.Our proposal uses the statistical information of the texture provided by the image gray-levels differences to increase the discriminative capability of Local Binary Patterns (LBP)-base
ABSTRACT Reservoirs considerably affect river streamflow and need to be accurately represented in environmental impact studies.Modeling reservoir outflow represents a challenge to hydrological studies since reservoir operations vary with flood risk, economic and demand aspects.The Brazilian Interconnected Energy System (SIN) is an example of a uniq
The story of grandmother Minah who was tried for stealing three cocoa beans, or Basar and Kholil who were brought to trial for stealing a watermelon and a child with Boxes the initials AP (age 13) who was charged with stealing a bucket rope is a case of theft with a relatively small economic loss.Conditions at the same time became a contrast, when