Cybersecurity is a top priority in industry, academia, and government, and information
sharing about cyber-threats between different organizations has the potential to maximize …

Abstract Supervised Machine Learning (ML) models require extensive training data to
properly approximate the behavior of complex mechanical processes and systems. Real …

Composite materials have tremendous and ever-increasing applications in complex
engineering systems; thus, it is important to develop non-destructive and efficient condition …

Reducing the system cost and achieving significant profit are the key factors for every
successful business sector. A consignment contract under distribution-free approach may be …

Quality improvement and setup cost reduction of any production system are endless
procedure. Customer's demand is always intended to have the best quality product and the …

Manufacturing industries prefer to produce extra units as safety stock especially when
demand for these units varies. The phenomena of producing additional units is also …

Abstract Supply Chain Security Management [SCSM] is a relatively new discipline in the
field of Operations Management Research, thus lacking introductory and tutorial papers. The …

Additive manufacturing is technique of producing a 3D object layer by layer. This is different
from a conventional machining operation. In a conventional machining, a component is …

Prediction of mass transfer diffusion coefficient as a functional of group contribution in the
molecular structure was carried out using machine learning techniques. Two machine …

Melt pool temperature contains abundant information on metallurgical and mechanical
aspects of products produced by additive manufacturing. Forecasting melt pool temperature …