Titlebook: Inductive Logic Programming; 25th International C Katsumi Inoue,Hayato Ohwada,Akihiro Yamamoto Conference proceedings 2016 Springer Interna

钢盔

Szymon Klarman,Katarina Britztem entail reconstruction of the body of safety evidence. When changes occur in the development or certification processes, identification of the new evidence to provide, the evidence that is no longer adequate, or the evidence that can be reused poses some challenges. Therefore, practitioners need

施魔法

Ondřej Kuželka,Jesse Davis,Steven Schockaertpport claims in areas such as safety, reliability, maintainability, human factors, security etc. Practically, both argument and evidence are imperfect, resulting in that we can hardly say the claim is one hundred percent true. So when we do decision-making against assurance cases, we need to know ho

ETHER

Ostrich

Carlos Alberto Martínez-Angeles,Inês Dutra,Vítor Santos Costa,Jorge Buenabad-Chávezcked when combining it with the capability of cooperation, leading to the vision of comprehensively networked cooperative autonomous systems (CAS). To enable a safe CAS cooperation at runtime, we introduced the ConSert approach in previous work, which allows fully automated safety interface compatib

employor

混杂人

hematuria

不自然

bile648

Ashwin Srinivasan,Michael Bain,Deepika Vatsa,Sumeet Agarwaldata including camera images. State-of-the-art methods for object recognition and image segmentation rely on complex data-driven models such as convolutional neural networks. Although no final answer exists yet on how to perform safety evaluation of systems containing such models, such evaluation sh

Vaginismus

data including camera images. State-of-the-art methods for object recognition and image segmentation rely on complex data-driven models such as convolutional neural networks. Although no final answer exists yet on how to perform safety evaluation of systems containing such models, such evaluation sh