Titlebook: Information and Software Technologies; 29th International C Audrius Lopata,Daina Gudonienė,Rita Butkienė Conference proceedings 2024 The Ed

羽毛长成

Basal-Ganglia

avulsion

Autoencoder as Feature Extraction Technique for Financial Distress Classification enterprise could be expanded, including data from legal events, macro, industry, government register center, etc. This data creates valuable information, which could lead to more accurate financial distress classification model creation. On the other hand, the new data source involvement expands th

BOON

兽群

User Interaction and Response-Based Knowledge Discovery Frameworkontent, but starved of knowledge and therefore often fail to connect the dots to anticipate change before it becomes mainstream. With over four billion pieces of content being created each day, keeping abreast of all that is happening far exceeds our capacity to do so. The business models of social

Thymus

Privacy Risks in German Patient Forums: A NER-Based Approach to Enrich Digital Twinsysis to detect potential privacy risks in German patient forums. The objective is to extract sensitive information from user-generated texts and augment existing digital profiles of users to demonstrate the potential threats posed by the aggregation of information. To achieve this, we trained a NER

下边深陷

Application of Machine Learning in Energy Storage: A Scientometric Research of a Decadech were examined in this study based on published documents in the Elsevier Scopus database between 2012 and 2022. The PRISMA technique employed to identify, screen, and filter related publications on MES research recovered 969 documents comprising articles, conference papers, and reviews published