Abstract This paper proposes a learning policy to improve the energy efficiency (EE) of heterogeneous cellular networks.The combination of active and inactive base stations (BS) that allows for maximizing EE is identified as a combinatorial learning problem and requires high computational complexity as well as a large signaling overhead.This paper
A human poseture capture and prediction alcognition was proposed, which was used to identify violated driver.Firstly, driver Crepe Pans behavior or action captured by camera was split into a set of successive frames with human poseture.Then each poseture in a frame was recognized by deep learning network and a type of behaviors composed by a set of
This article uses data-driven techniques combined with established theory in order to analyse gambling behavioural patterns of 91 thousand individuals on a real-world fixed-odds gambling dataset in New Zealand.This research uniquely integrates a mixture of process mining, data mining and confirmatory statistical techniques in order to categorise di
Lithic bifacial points are very common in the southern and southeastern regions of the Brazilian territory.Dated from Early to Late Holocene, these artifacts have not been studied in terms of their propulsion system.Given the characteristics of the bow and arrow compared to the atlatl and dart, there are important differences in the size and weight
Abstract Group decision models that contemplate the particularities of the decision-making process help organizations pursue their strategic objectives.In the financial market, the primary interest of organizations consists in ensuring financial returns, which guarantee stability for the organization.This study identifies major problems in the curr