A survey of UAV-based data collection: Challenges, solutions and future perspectives
Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded toward a central controller (CC) for further processing and decision-making …
forwarded toward a central controller (CC) for further processing and decision-making …
Big data meets metaverse: A survey
We are living in the era of big data. The Metaverse is an emerging technology in the future,
and it has a combination of big data, AI (artificial intelligence), VR (Virtual Reality), AR …
and it has a combination of big data, AI (artificial intelligence), VR (Virtual Reality), AR …
[HTML][HTML] Machine learning schemes for anomaly detection in solar power plants
The rapid industrial growth in solar energy is gaining increasing interest in renewable power
from smart grids and plants. Anomaly detection in photovoltaic (PV) systems is a demanding …
from smart grids and plants. Anomaly detection in photovoltaic (PV) systems is a demanding …
Federated learning for big data: A survey on opportunities, applications, and future directions
Big data has remarkably evolved over the last few years to realize an enormous volume of
data generated from newly emerging services and applications and a massive number of …
data generated from newly emerging services and applications and a massive number of …
Federated recommenders: methods, challenges and future
Abstract Web users are flooded with information on the internet, and they feel overwhelmed
by the different choices they have to make online daily. Recommender systems come to their …
by the different choices they have to make online daily. Recommender systems come to their …
Federated learning for green and sustainable 6G IIoT applications
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …
architecture of 6G will be the convergence of space, air, ground, and undersea networks …
[HTML][HTML] Assert: A blockchain-based architectural approach for engineering secure self-adaptive iot systems
Internet of Things (IoT) systems are complex systems that can manage mission-critical,
costly operations or the collection, storage, and processing of sensitive data. Therefore …
costly operations or the collection, storage, and processing of sensitive data. Therefore …
Enhanced deep learning framework for fine-grained segmentation of fashion and apparel
Abstract 3D clothing data models have been learned from the real clothing data, but it is
difficult to predict the exact segmentation mask of a garment as it varies depending on the …
difficult to predict the exact segmentation mask of a garment as it varies depending on the …
[HTML][HTML] A blockchain-based multi-factor authentication model for a cloud-enabled internet of vehicles
Continuous and emerging advances in Information and Communication Technology (ICT)
have enabled Internet-of-Things (IoT)-to-Cloud applications to be induced by data pipelines …
have enabled Internet-of-Things (IoT)-to-Cloud applications to be induced by data pipelines …
Fliodt: A federated learning architecture from privacy by design to privacy by default over iot
FM Awaysheh, S Alawadi… - 2022 Seventh International …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) realized exponential growth of smart devices with decent
capabilities, promising an era of Edge Intelligence. This paradigm creates a timely need to …
capabilities, promising an era of Edge Intelligence. This paradigm creates a timely need to …