The application of machine learning algorithms to the detection of fraudulent credit card transactions is Salad Spinners a challenging problem domain due to the high imbalance in the datasets and confidentiality of financial data.This implies that legitimate transactions make up a high majority of the datasets such that a weak model with 99% accura
Transaction Frequency and Hedging in Commodity Processing
This study examines the effect of transaction frequency on profit and cash flow risk for firms that periodically purchase inputs, continuously transform inputs into outputs, and periodically sell output.Soybean-processing profit and cash flows are computed for unhedged, direct-hedged, and risk-minimizing-hedged processing with up CPAP Accessories t
A Supervisory Algorithm Against Intermittent and Temporary Faults in Consensus-Based Networks
In this paper, the consensus problem is addressed for multi-agent networks in which some nodes are expected to possibly misbehave as a consequence of temporary faults or errors.The solution proposed is based on the counteraction of a prescribed subset of nodes through the injection of additional corrective signals.Such corrections are the output of
Information Technology and Corporate Governance in Fraud Prevention
Information technology is a technology for obtaining, processing, storing and distributing various types of information files by utilizing computers and telecommunications born of strong drives to create new innovations and creativity that can overcome all laziness and slowness of human performance.The recent phenomenon of several large companies l
Stability analysis of TATWC based on UVA milling method
Difficult machining characteristics of titanium alloy materials and low rigidity characteristics of thin-walled component make Titanium Alloy Thin-Walled Component (TATWC) prone to chatter during machining, resulting in poor surface quality and other defects, which restricts the expansion and application of TATWC in the special industrial field.The