This chapter describes some highlights of successful research focusing on knowledge-based and data-driven models for industrial and decision processes. This research has been carried out during the last ten years in a close cooperation of two research institutions in Hagenberg: - the Fuzzy Logic ...
Deep learning-based molecular generation has extensive applications in many fields, particularly drug discovery. However, the majority of current deep generative models are ligand-based and do not consider chemical knowledge in the molecular generation process, often resulting in a relatively low success...
Knowledge-based and data-driven models in arrhythmia fuzzy classification. Objectives:Fuzzy rules automatically derived from a set of training examples quite often produce better classification results than fuzzy rules translated ... S Ghosh,TK Pradhan - 《Methods Inf Med》 被引量: 145发表: 2001年...
Since the formalisation of problem-specific human expert knowledge is often difficult and tedious, data-driven machine learning techniques may be helpful to extract knowledge from ecological datasets. In this paper, both expert knowledge-based and data-driven fuzzy habitat suitability models were ...
• Big data techniques and methodologies, data-driven information systems, and knowledge acquisition • Cognitive interaction and intelligent human interfaces • Recommender systems and E-service personalization • Intelligent decision support systems, prediction systems and warning systems ...
7. Content retrieval and presentation The search engine retrieves relevant content from the database and presents it to the user. The front end displays the information in a readable format, often highlighting keywords or phrases that match the user’s query to make it easier to find answers....
(1) a knowledge-driven fuzzy model that uses a logistic membership function for deriving fuzzy membership values of input evidential maps and (2) a data-driven model, which uses a piecewise linear function based on quantified spatial associations between a set of evidential evidence features and ...
Sports have gradually gained popularity, and the risks associated with them have risen as well. In today’s world, college students are a diverse population, and sports are very popular among them. Th...
and integrity. We also encourage visionary papers on emerging topics and application-based papers offering innovative technical advancements to interdisciplinary research and applications of data science. Conference Topics Topics of relevance for the conference include, but are not limited to, the following...
Graph-based RAG models further enhance this capability by improving response accuracy through structured data retrieval. Benefits of AI Knowledge Base for Customer Support Implementing an AI Knowledge Base in customer support can offer a multitude of advantages, enhancing efficiency, accuracy, and ...