AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
A comprehensive survey of privacy-preserving federated learning: A taxonomy, review, and future directions
The past four years have witnessed the rapid development of federated learning (FL).
However, new privacy concerns have also emerged during the aggregation of the …
However, new privacy concerns have also emerged during the aggregation of the …
Big data with cloud computing: Discussions and challenges
AK Sandhu - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
With the recent advancements in computer technologies, the amount of data available is
increasing day by day. However, excessive amounts of data create great challenges for …
increasing day by day. However, excessive amounts of data create great challenges for …
Privacy-aware traffic flow prediction based on multi-party sensor data with zero trust in smart city
F Wang, G Li, Y Wang, W Rafique… - ACM Transactions on …, 2023 - dl.acm.org
With the continuous increment of city volume and size, a number of traffic-related urban units
(eg, vehicles, roads, buildings, etc.) are emerging rapidly, which plays a heavy burden on …
(eg, vehicles, roads, buildings, etc.) are emerging rapidly, which plays a heavy burden on …
[HTML][HTML] A survey on deep learning for textual emotion analysis in social networks
S Peng, L Cao, Y Zhou, Z Ouyang, A Yang, X Li… - Digital Communications …, 2022 - Elsevier
Abstract Textual Emotion Analysis (TEA) aims to extract and analyze user emotional states
in texts. Various Deep Learning (DL) methods have developed rapidly, and they have …
in texts. Various Deep Learning (DL) methods have developed rapidly, and they have …
[HTML][HTML] A review of optimization methods for computation offloading in edge computing networks
Handling the massive amount of data generated by Smart Mobile Devices (SMDs) is a
challenging computational problem. Edge Computing is an emerging computation paradigm …
challenging computational problem. Edge Computing is an emerging computation paradigm …
Realizing the heterogeneity: A self-organized federated learning framework for IoT
The ubiquity of devices in Internet of Things (IoT) has opened up a large source for IoT data.
Machine learning (ML) models with big IoT data is beneficial to our daily life in monitoring air …
Machine learning (ML) models with big IoT data is beneficial to our daily life in monitoring air …
Improvement of an online education model with the integration of machine learning and data analysis in an LMS
W Villegas-Ch, M Román-Cañizares… - Applied Sciences, 2020 - mdpi.com
The events that took place in the year 2020 have shown us that society is still fragile and that
it is exposed to events that rapidly change the paradigms that govern it. This has been …
it is exposed to events that rapidly change the paradigms that govern it. This has been …
[HTML][HTML] A blockchain and IoT-based lightweight framework for enabling information transparency in supply chain finance
Abstract Supply Chain Finance (SCF) refers to the financial service in which banks rely on
core enterprises to manage the capital flow and logistics of upstream and downstream …
core enterprises to manage the capital flow and logistics of upstream and downstream …
[HTML][HTML] Democratizing artificial intelligence imaging analysis with automated machine learning: tutorial
AJ Thirunavukarasu, K Elangovan, L Gutierrez… - Journal of Medical …, 2023 - jmir.org
Deep learning–based clinical imaging analysis underlies diagnostic artificial intelligence
(AI) models, which can match or even exceed the performance of clinical experts, having the …
(AI) models, which can match or even exceed the performance of clinical experts, having the …