[HTML][HTML] AI-based decision support systems in Industry 4.0, A review
The development of modern technologies such as the Internet of Things (IoT), cloud
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
The future energy internet for utility energy service and demand-side management in smart grid: Current practices, challenges and future directions
The energy internet (EI) integrated with smart grid (SG) has been a growing and emerging
technology that manages and controls towards reliability, security, data integrity, demand …
technology that manages and controls towards reliability, security, data integrity, demand …
[HTML][HTML] Non-Intrusive Load Monitoring in industrial settings: A systematic review
Addressing climate change and promoting sustainable energy practices is a pressing issue
in our era and requires a comprehensive transformation of our energy production …
in our era and requires a comprehensive transformation of our energy production …
Trajectory tracking of autonomous vehicle based on model predictive control with PID feedback
The simplified vehicle model often results in inaccuracy with respect to the conventional
model predictive control (MPC) as it causes steady error in tracking control, which has …
model predictive control (MPC) as it causes steady error in tracking control, which has …
Identifying and analyzing the barriers of Internet-of-Things in sustainable supply chain through newly proposed spherical fuzzy geometric mean
Many industrial firms have gained strategic benefits from the use of IoT in supply chain (SC)
and operations, but still, several firms are reluctant in applying this technology in their firm …
and operations, but still, several firms are reluctant in applying this technology in their firm …
[HTML][HTML] Smart textile waste collection system–Dynamic route optimization with IoT
Increasing textile production is associated with an environmental burden which can be
decreased with an improved recycling system by digitalization. The collection of textiles is …
decreased with an improved recycling system by digitalization. The collection of textiles is …
Computation offloading and resource allocation based on distributed deep learning and software defined mobile edge computing
In this paper, a software defined mobile edge computing (SD-MEC) in Internet of Things
(IoT) is investigated, in which multiple IoT devices choose to offload their computation tasks …
(IoT) is investigated, in which multiple IoT devices choose to offload their computation tasks …
[HTML][HTML] Energy-efficient industrial internet of things in green 6G networks
The research problem of this systematic review was whether green 6G networks can
integrate energy-efficient Industrial Internet of Things (IIoT) in terms of distributed artificial …
integrate energy-efficient Industrial Internet of Things (IIoT) in terms of distributed artificial …
Energy efficiency in industrial sectors: A review of technologies and policy measures
KI Ibekwe, AA Umoh, ZQS Nwokediegwu… - Engineering Science & …, 2024 - fepbl.com
The industrial sector plays a pivotal role in global economic development, but its energy
consumption often leads to environmental challenges. This paper provides a …
consumption often leads to environmental challenges. This paper provides a …
Triboelectric Nanogenerator‐Enabled Digital Twins in Civil Engineering Infrastructure 4.0: A Comprehensive Review
The emergence of digital twins has ushered in a new era in civil engineering with a focus on
achieving sustainable energy supply, real‐time sensing, and rapid warning systems. These …
achieving sustainable energy supply, real‐time sensing, and rapid warning systems. These …