In distributed learning, a central server trains a model according to updates provided by nodes holding local data samples.In the presence of one or more malicious servers sending incorrect information (a Byzantine adversary), standard algorithms for model training such as stochastic gradient descent (SGD) INDOLE-3-CARBINOL fail to converge.In this
A good word on topmouth gudgeon Pseudorasbora parva in small impoundments in the Aral Sea watershed (Central Asia, Kazakhstan)
Biological invasions are one of the most powerful negative factors threatening the natural biological diversity and well-being of continental water bodies.In the Aral Sea (Small Aral) basin, it has now been possible to stabilize the catastrophe that arose Double Breast Pumps as a result of the irrational use of water resources.However, the diversit
Emergence of Theileria species in ticks from free-ranging domestic animals in Raymond Mhlaba local municipality, South Africa
Ticks infestation and diseases associated with it, are becoming a major life threatening concern to wildlife, domesticated animals and human health in general.Besides causing skin damage, ticks infestations have become a growing Cuddle Kits burden in food security and transmission of multiple pathogens.There is paucity of data on the occurrence of
Generalized Multi-Scale Stochastic Reservoir Opportunity Index for enhanced well placement optimization under uncertainty in green and brownfields
Well placement planning is one of the challenging issues in any field development plan.Reservoir engineers always confront the problem that which point of the field should be drilled to achieve the highest recovery factor and/or maximum sweep efficiency.In this paper, we use Reservoir Opportunity Index (ROI) as a spatial measure of productivity pot