Dynamic cellular manufacturing systems,   Mixed-integer non-linear programming,   Production planning, Manufacturing attributes   This paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (DCMS) based on production planning (PP) decisions and several manufacturing attributes. Such an integrated DCMS model with an extensi...

hub covering location problem, network design,   single machine scheduling, genetic algorithm,   shuffled frog leaping algorithm   hub location problems (hlp) are synthetic optimization problems that appears in telecommunication and transportation networks where nodes send and receive commodities (i.e., data transmissions, passengers transportation, express packages, postal deliveries, etc.) th...

Lindh, M. 2017. Computational Modelling in Drug Discovery. Application of StructureBased Drug Design, Conformal Prediction and Evaluation of Virtual Screening. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Pharmacy 235. 47 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-0049-8. Structure-based drug design and virtual screening are areas of computation...

Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...

The traditional method in Iran of cracking walnut manually, using harmer or knife cutter is laborintensive, slow and tedious; besides, most mechanical crackers do not give satisfactory results in terms of kernel extraction quality. A prototype machine was developed to crack walnut. A walnut cracker was designed, constructed and tested to evaluate its performance. The cracker, which consists of ...

In silico screening is a powerful drug-discovery tool. However, the application of traditional structure-based and mechanism-based drug design is hampered by the limited availability of three-dimensional structures of target enzymes or proteins. Thus, we propose a new method of screening good inhibitors of target enzymes without using their precise structures, based on machine learning. With th...