ChemSAR: an online pipelining platform for molecular SAR modeling

ChemSAR: an online pipelining platform for molecular SAR modeling

BACKGROUND In recent years, predictive models based on machine learning techniques have proven to be feasible and effective in drug discovery. However, to develop such a model, researchers usually have to combine multiple tools and undergo several different steps (e.g., RDKit or ChemoPy package for molecular descriptor calculation, ChemAxon Standardizer for structure preprocessing, scikit-learn...

Facebook Platform as the Social Business and Marketing Model for Cosmetic Surgery: An Online Study

an investigation about the appropriate stochastic modeling framework for agricultural insurance pricing

با توجه به اینکه بیمه محصولات کشاورزی در ایران بیشتر جنبه ای حمایتی دارد و خسارات گزارش شده عموما بیش از حق بیمه های دریافت شده است، در این پایان نامه به جهت تعیین قیمت بیمه محصولات کشاورزی (گندم دیم) از فرآیندهای نوفه شلیک به عنوان مدلی مناسب استفاده شده است. بر اساس داده های صندوق بیمه کشاورزی از خسارات اعلام شده در سال زراعی 1388-1389 گندم دیم، در این پایان نامه حق بیمه خالص و ناخالص این محص...

An Agent-based Platform for Online Auctions

This paper proposes a web-based agent platform for E-commerce which allows humans and software agents to perform automatic auctions over the Internet. Internet-based auction is a pro table, exciting and dynamic part of E-commerce. However, the lack of standard on negotiation protocol between agents and an auctioneer makes full automation of E-commerce infeasible. Hence, we design a complete arc...

Modeling Instruction-Level Parallelism for Software Pipelining

Software pipelining is an attractive method to schedule code for processors that exhibit instruction-level parallelism such as pipelined, super-scalar, and (V)LIW machines. It has been implemented for a variety of processors ( e.g. FPS-164[10], Warp[9], Cydra-5[7]), and a number of pipelining algorithms have been described in the literature. Software pipelining produces a schedule so that the e...