AIMC Topic:
Models, Theoretical

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Locating influential nodes in complex networks.

Scientific reports
Understanding and controlling spreading processes in networks is an important topic with many diverse applications, including information dissemination, disease propagation and viral marketing. It is of crucial importance to identify which entities a...

Time Sharing Between Robotics and Process Control: Validating a Model of Attention Switching.

Human factors
OBJECTIVE: The aim of this study was to validate the strategic task overload management (STOM) model that predicts task switching when concurrence is impossible.

Traffic accident reconstruction and an approach for prediction of fault rates using artificial neural networks: A case study in Turkey.

Traffic injury prevention
OBJECTIVE: Currently, in Turkey, fault rates in traffic accidents are determined according to the initiative of accident experts (no speed analyses of vehicles just considering accident type) and there are no specific quantitative instructions on fau...

The Study of Intelligent Vehicle Navigation Path Based on Behavior Coordination of Particle Swarm.

Computational intelligence and neuroscience
In the behavior dynamics model, behavior competition leads to the shock problem of the intelligent vehicle navigation path, because of the simultaneous occurrence of the time-variant target behavior and obstacle avoidance behavior. Considering the sa...

Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model.

BMC bioinformatics
BACKGROUND: A living cell has a complex, hierarchically organized signaling system that encodes and assimilates diverse environmental and intracellular signals, and it further transmits signals that control cellular responses, including a tightly con...

Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory.

BMC bioinformatics
BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of death globally, and research into NSCLC has been accumulating steadily over several years. Drug repositioning is the current trend in the pharmaceutical industry for ident...

CD-Based Indices for Link Prediction in Complex Network.

PloS one
Lots of similarity-based algorithms have been designed to deal with the problem of link prediction in the past decade. In order to improve prediction accuracy, a novel cosine similarity index CD based on distance between nodes and cosine value betwee...

Solving the Traveling Salesman's Problem Using the African Buffalo Optimization.

Computational intelligence and neuroscience
This paper proposes the African Buffalo Optimization (ABO) which is a new metaheuristic algorithm that is derived from careful observation of the African buffalos, a species of wild cows, in the African forests and savannahs. This animal displays unc...

3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest.

IEEE transactions on medical imaging
In this paper, a fully automatic method is proposed to segment the kidney into multiple components: renal cortex, renal column, renal medulla and renal pelvis, in clinical 3D CT abdominal images. The proposed fast automatic segmentation method of kid...