Ambient Intelligence (AmI) is the application and embedding of artificial intelligence into
everyday environments to seamlessly provide assistive and predictive support in a multitude …

Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …

Activity recognition (AR) from an applied perspective of ambient assisted living (AAL) and
smart homes (SH) has become a subject of great interest. Promising a better quality of life …

With advances in machine learning and ambient sensors as well as the emergence of
ambient assisted living (AAL), modeling humans' abnormal behaviour patterns has become …

Business processes are often monitored by transactional information systems that produce
massive dataset called event logs. Such logs contain the process execution traces, typically …

Recent advances in sensor technology are expected to lead to a greater use of wireless
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …

The face detection and face recognition methods are introduced to confirm the abnormal
human activity in the video surveillance system. Face detection is carried out by Viola-Jones …

Data dependencies have been extended to graphs to characterize topological and value
constraints. Existing data dependencies are defined to capture inconsistencies in static …

Background: Gene databases are usually large in volume and contain information on
thousands of genes. The data are numerical and represent the expression levels of the …

US11012421B2 - Predicting user-file interactions - Google Patents US11012421B2 - Predicting
user-file interactions - Google Patents Predicting user-file interactions Download PDF Info …