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Lung nodule diagnosis from CT images based on ensemble learning
TLDR
This paper presents a computer-aided classification method using computed tomography (CT) images of the lung based on ensemble of three classifiers including MLP, KNN and SVM. Expand
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Flocking based approach for data clustering
TLDR
This paper describes different approaches for solving data clustering problem. Expand
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A survey on multi-floor facility layout problems
TLDR
A comprehensive review on multi-floor facility problem (MFLP) is presented.Different applications of MFLP across various industries are discussed.Basic features of the problem to capture different situations are identified.Formulation approaches to address the problems and the resolution methods are introduced.Several issues and research directions are highlighted for future work. Expand
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Simulation-based optimization of radiotherapy: Agent-based modeling and reinforcement learning
TLDR
We develop an agent-based simulation of vascular tumor growth based on biological evidences and an algorithm for optimization of radiotherapy. Expand
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Synthesis with improved yield and study on the analgesic effect of 2-methoxyphencyclidine.
Phencyclidine (1-(1-phenylcyclohexyl)piperidine, CAS 956-90-1, PCP) has shown analgesic effects. Some of its derivatives have been synthesized and their biological properties were studied. Since aExpand
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New morpholine analogues of phencyclidine: Chemical synthesis and pain perception in rats
Phencyclidine (PCP, I) and most its derivatives have demonstrated some pharmacological effects. Accordingly, in this study, the new methoxy (III) and hydroxy-methyl (IV) morpholine PCP derivativesExpand
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Hybrid intelligent approach for diagnosis of the lung nodule from CT images using spatial kernelized fuzzy c-means and ensemble learning
TLDR
We propose a hybrid intelligent approach to identify the pulmonary nodules in computed tomography (CT) images of the lung using a fuzzy c-means clustering to improve the quality of raw images. Expand
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Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint
TLDR
We address a stochastic multi-objective distributed permutation flow shop scheduling problem by considering total tardiness constraint via minimizing the makespan and the total energy consumption. Expand
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Partial up-stream advanced payment and partial down-stream delayed payment in a three-level supply chain
TLDR
In a competitive market, the retailers, in order to encourage the customers to increase their orders, give them the opportunity to pay a fraction of the purchasing cost after delivery of the ordered items (i.e., down-stream partial delayed payment). Expand
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A novel learning based approach for a new integrated location-routing and scheduling problem within cross-docking considering direct shipment
TLDR
Location-routing scheduling problem including cross docking and direct shipment is modeled.A novel bi-clustering method is proposed for decomposing the problem. Expand
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