Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …

The building information and operational data generated during the building life cycle are
essential for realizing energy-efficient operation, indoor environmental quality, and …

This study proposes a novel framework and methodology for building digital twinning (BDT)
over the life cycle of a building. It aims to establish an intrinsic digital twin framework and …

This paper presents a layered hierarchy that depicts the progressive relationship between
data, information, knowledge, and wisdom. To begin with, data is gathered and organized …

EASE: Energy Optimization through Adaptation – A Review of Runtime Energy-Aware
Approximate Deep Learning Algorithms Page 1 P osted on 6 F eb 2024 — CC-BY 4.0 — h …

This chapter explores the transformative potential of integrating knowledge engineering and
artificial intelligence in healthcare, focusing on constructing a knowledge-based clinical …

Background The Department of Health has implemented eHealth systems, yet Gauteng
(South Africa) continues to experience healthcare burdens such as prioritising scarce …

The manufacturing industry is evolving toward more automation and digitization. This
includes collecting data from sensors, machines, and software used on the shop floor …

Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …

针对装备作战应用与保障智能化发展需求, 提出一种装备保障智能网构建方法.
结合装备数据特点, 建立装备数据体系模型, 给出基于数据标签属性与知识本体要素映射关系的 …