At this current time, data stream classification plays a key role in big analytics due to its enormous growth. Most of the existing methods used ensemble learning, which is trustworthy but these are not effective face issues learning from imbalanced data, it also supposes that all pre-classified. Another weakness takes long evaluation time when target contains high number features. The main obj...

The current paper offers the solution strategy for economic dispatch problem in electric power system implementing ant lion optimization algorithm (ALOA) and bat (BA) techniques. In network, (ED) is a short-term calculation of optimum performance several electricity generations or plan outputs all usable generation units from energy produced to fulfill necessary demand, although equivalent uneq...

Gearbox oil temperature is one of the important indicators for gearbox condition monitoring and faults early warning. Accurately predicting change trend can maintain in advance ensure safety reliability wind turbine gearbox. The purpose this article to analyze supervisory control data acquisition (SCADA) turbines. A method based on multi-input improved ant lion optimization support vector regre...

Instance reduction is a pre-processing step devised to improve the task of classification. algorithms search for reduced set instances mitigate low computational efficiency and high storage requirements. Hence, finding optimal subset utmost importance. Metaheuristic techniques are used as potential application. Antlion optimization (ALO) recent metaheuristic algorithm that simulates antlion’s f...

Top predators can dramatically suppress populations of smaller predators, with cascading effects throughout communities, and this pressure is often unquestioningly accepted as a constraint on mesopredator populations. In this study, we reassess whether African lions suppress populations of cheetahs and African wild dogs and examine possible mechanisms for coexistence between these species. Usin...

We compiled all credible repeated lion surveys and present time series data for 47 lion (Panthera leo) populations. We used a Bayesian state space model to estimate growth rate-λ for each population and summed these into three regional sets to provide conservation-relevant estimates of trends since 1990. We found a striking geographical pattern: African lion populations are declining everywhere...

The killing of a satellite-tagged male lion by a trophy hunter in Zimbabwe in July 2015 provoked an unprecedented media reaction. We analyse the global media response to the trophy hunting of the lion, nicknamed "Cecil", a study animal in a long-term project run by Oxford University's Wildlife Conservation Research Unit (WildCRU). We collaborated with a media-monitoring company to investigate t...

Norms have been extensively studied to coordinate multi-agent systems, and the literature has investigated two general approaches to norm synthesis: off-line (synthesising norms at design-time) and on-line (runtime synthesis). On-line synthesis is generally recognised to be appropriate for open systems, where aspects of the system remain unknown at design-time. In this paper we present LION , a...

Felids in captivity are often inactive and elusive in zoos, leading to a frustrating visitor experience. Eight roars were recorded from an adult male lion and played back over speakers as auditory enrichment to benefit the lions while simultaneously enhancing the zoo visitor experience. In addition, ungulates in an adjacent exhibit were observed to ensure that the novel location and increased f...

Abstract The lithium-ion battery has grown to be one of the most popular types energy storage because its many great qualities. However, state health (SOH) decreases as number cycles increases, resulting in reduced performance or even failure device, so an accurate SOH is essential for safe operation device. To solve issue existing estimate methods' low estimation accuracy, a approach based on ...