Financial markets have always been a point of interest for automated systems. Due to their complex nature, financial algorithms and fintech frameworks require vast amounts data accurately respond market fluctuations. This availability is tied the daily evolution, so it impossible accelerate its acquisition. In this article, we discuss several solutions augmenting datasets via synthesizing reali...

The Little-Hopfield network is an auto-associative computational model of neural memory storage and retrieval. This model is known to robustly store collections of randomly generated binary patterns as stable-points of the network dynamics. However, the number of binary memories so storable scales linearly in the number of neurons, and it has been a longstanding open problem whether robust expo...

Run time code generation is an alternative and complement to compile time program analysis and optimization Static analyses are inherently imprecise because most interesting aspects of run time behavior are uncomputable By defer ring aspects of compilation to run time more precise infor mation about program behavior can be exploited leading to greater opportunities for code improvement The cost...

In distributed object systems, one generates local surrogate objects to achieve transparent remote method invocations. These surrogates intercept method invocations, transfer the invocations to the actual (remote) object, and invoke the respective method by using so-called stub code. We describe a method which automatically generates surrogate and stub code. The actual generation is delayed unt...

this study focuses on the effect of social and cultural determinants on generation gap in tehranian families in 2011. the purpose of this study is to determine effective factors on generation gap in tehranian families, analytical and empirical patterns and be surveyed by related theories and effective factors. the research was prepared by questions including whether there is a relationship betw...

Time series data are an ubiquitous and important data source in many domains. Most companies and organizations rely on this data for critical tasks like decision-making, planning, and analytics in general. Usually, all these tasks focus on actual data representing organization and business processes. In order to assess the robustness of current systems and methods, it is also desirable to focus...