Titlebook: Computational Science – ICCS 2018; 18th International C Yong Shi,Haohuan Fu,Peter M. A. Sloot Conference proceedings 2018 Springer Internat

袋鼠

Codes of Conduct und Compliancee complexity and uncertainty of the environment where manual programming of robot behaviours is often impractical. In this study we propose a hyper-heuristic methodology for swarm robots. It allows robots to create suitable actions based on a set of low-level heuristics, where each heuristic is a be

相信

Bacterial Diseases and Their Management,y. In this scenario, optimising the exploitation of urban road network is a pivotal challenge, particularly in the case of unexpected situations. In order to tackle this challenge, approaches based on mixed discrete-continuous planning have been recently proposed and although their feasibility has b

Hyperlipidemia

Building a Sustainable Dental Practice,e noises may hamper the studies and applications which require pre-processing to extract the news content accurately. Existing methods of news content extraction mostly rely on non-content features, such as tag path, text layout, and DOM structure. However, without considering topics of the news con

AMBI

沉思的鱼

Jishan Wu,Jingbo Wang,Yiming Liu,Unnati Raoganizations or other individuals, before the latters have a chance to register. This paper presents a specific and unconcerned type of domain squatting called “AbbrevSquatting”, the phenomena that mainly happens on institutional websites. As institutional domain names are usually named with abbrevia

思想上升

ABHOR

SPECT

On the Configuration of Robust Static Parallel Portfolios for Efficient Plan Generationeases in computational power are mostly achieved through hardware parallelisation. In view of the increasing availability of multicore machines and of the intrinsic complexity of designing parallel algorithms, a natural exploitation of parallelism is to combine existing sequential planning engines i

LURE

SDF-Net: Real-Time Rigid Object Tracking Using a Deep Signed Distance Network camera. By leveraging the generalization capability of the neural network, we could better represent the model of the object implicitly. With the training stage done off-line, our proposed methods are capable of real-time performance and running as fast as 1.29 ms per frame on one CPU core, which i

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