conclusions independent variables such as sex, age, hdl-c, sys-bp, bmi, smoking, cholesterol and hs-crp were considered as influencing variables, and education, marital status, disease history, height, waist circumference, diastolic blood pressure and low density lipoprotein were removed from the models. background cardiovascular disease is considered as one of the most common diseases, causing...

Reverse logistics has become a competitive need for sustainability. Lack of resources to apply reverse solutions severely impacted many supply chains’ costs and customer service, making it impossible meet the expectations return processing. In those conditions, client demands higher service quality are main drivers effective sustainability operations. This study aims establish sustainable (SRLS...

Abstract The objective of this chapter is to provide practical guidelines for implementing various logistic-oriented applications. In particular, part starts with a crucial point pertaining access control using KIS.Devices and external RFID readers. Subsequently, an application concerning monitoring product levels in small warehouse proposed. remaining three sections deal transportation systems...

Logistic regression is a technique to map the input feature to the posterior probability for a binary class. The optimal parameter of regression function is obtained by maximizing log likelihood of training data. In this report, we implement two optimization techniques 1) stochastic gradient decent (SGD); 2) limited-memory BroydenFletcherGoldfarbShanno (L-BFGS) to optimize the log likelihood fu...