Future buildings will offer new convenience, comfort, and efficiency possibilities to their
residents. Changes will occur to the way people live as technology involves people's lives …

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

Existing studies reveal that unsafe worker movement behaviors are one of the major
reasons of construction site fatalities resulting in serious collisions with site objects and …

The broad applicability of Internet of Things (IoT) would truly enable the pervasiveness of
smart devices for sensing data. In this context, achieving service personalization requires …

Accurate classification of self-care problems in children who suffer from physical and motor
affliction is an important problem in the healthcare industry. This is a difficult and a time …

Complex human activity prediction is a difficult problem for computer science. Simple
behaviours can be mapped to sequence prediction algorithms with good results; however …

In this paper, a context-sensitive descriptive language is proposed to design and model the
daily living activities of elderly people. The objective is to simplify and represent correctly the …

This work delves into the significant impact of Machine Learning (ML) on the advancement
and improvement of Energy Management Systems (EMS), focusing on the incorporation of …

A novel method for replaying behavior of a mobile robot from its memory of past experiences
is presented in this paper. The method is a version of a particle filter on episode (PFoE) …

People with disabilities face a lot of inconvenience in daily life, even in their homes where
are the most familiar environment. They are difficult to complete the operation of simple …