owing to the proximity of certain locations to the thermal power stations, it has always been efforts of engineers to enhance the flyash utilization rate in various civil engineering constructions adopting suitable strategies. in the present study, a soilflyash interface mechanism has been evolved using different soil-flyash ratios to upgrade significantly stabilization of supporting medium bas...

As people spend more time indoors owing to the COVID-19 global pandemic, automatic detection of indoor human activity has increasingly become interest researchers and consumers. Conventional Wi-Fi Channel State Information (CSI)-based provides adequate accuracy; however, they have a deployment constraint specific hardware software for full CSI acquisition. This study exploits Compressed Beamfor...

about 30 years after its introduction by Roger Schank and others, CaseBased Reasoning (CBR) is a well-established research field in Artificial Intelligence and Cognitive Science. As the last special issue on CBR in the German Journal on Artificial Intelligence (“KI”) is 12 years ago, CBR is the main focus of the current issue at hand. It is compiled at the occasion of the 9th European Conferenc...

CBR: An Introduction Geert Vanneste 49 CBR in Uganda Liz Moulton 51 CBR in India D Nagarajan 52 CBR: Case-Finding and Rehabilitation Geert Vanneste 54 Launch of Vision 2020 Christian Garms 56 Case-Control Studies Susan Lewallen and Paul Courtright 57 JCEH: Subject Index (Issues 1–24) Sue Stevens 59 Leprosy in West Bengal, India S K Samanta and I S Roy 61 ● train, follow-up and manage their CRWs...

Our approach to Case-Based Reasoning (CBR) is to build integrated systems that combine case specific knowledge with models of general domain knowledge. In this paper we describe CBROnto, the CBR ontology we have developed, as a task/method ontology. CBROnto specifies a modelling framework to describe reusable CBR Problem Solving Methods based on the CBR tasks they solve and the knowledge requir...

In this paper, we propose a novel CBR-based approach for ship collision avoidance. After the introduction of the CBR-based decision-making support, we present two abstraction principles, selecting view points and describing granularity, to create collision avoidance cases from real-time navigation data. Several issues related case creation and CBR-based decisionmaking support are discussed in d...

As a test bed for the Case-Based Reasoning (CBR) approach for automating processes adjustments, the Volvo Car manufacturing process for parts known as crossmembers is chosen. To test the CBR based system, a subset of solved cases is selected and fed as simulated new cases, to developed prototype CBR system. The results show that the CBR is a valuable and promising methodology that can be used f...