Sustainable industrial and operation engineering trends and challenges Toward Industry 4.0: A data driven analysis
This study supplies contributions to the existing literature with a state-of-the-art bibliometric
review of sustainable industrial and operation engineering as the field moves toward …
review of sustainable industrial and operation engineering as the field moves toward …
Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
MTH-IDS: A multitiered hybrid intrusion detection system for internet of vehicles
Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …
involve many electronic control units connected through intravehicle networks (IVNs) to …
Machine learning (ML)-centric resource management in cloud computing: A review and future directions
Cloud computing has rapidly emerged as a model for delivering Internet-based utility
computing services. Infrastructure as a Service (IaaS) is one of the most important and …
computing services. Infrastructure as a Service (IaaS) is one of the most important and …
An empirical study of pre-trained model reuse in the hugging face deep learning model registry
Deep Neural Networks (DNNs) are being adopted as components in software systems.
Creating and specializing DNNs from scratch has grown increasingly difficult as state-of-the …
Creating and specializing DNNs from scratch has grown increasingly difficult as state-of-the …
IoT data analytics in dynamic environments: From an automated machine learning perspective
With the wide spread of sensors and smart devices in recent years, the data generation
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
Reviewing federated machine learning and its use in diseases prediction
Machine learning (ML) has succeeded in improving our daily routines by enabling
automation and improved decision making in a variety of industries such as healthcare …
automation and improved decision making in a variety of industries such as healthcare …
Reviewing federated learning aggregation algorithms; strategies, contributions, limitations and future perspectives
The success of machine learning (ML) techniques in the formerly difficult areas of data
analysis and pattern extraction has led to their widespread incorporation into various …
analysis and pattern extraction has led to their widespread incorporation into various …
Artificial intelligence in food science and nutrition: A narrative review
T Miyazawa, Y Hiratsuka, M Toda… - Nutrition …, 2022 - academic.oup.com
In the late 2010s, artificial intelligence (AI) technologies became complementary to the
research areas of food science and nutrition. This review aims to summarize these …
research areas of food science and nutrition. This review aims to summarize these …
Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings
The building sector is the largest energy consumer accounting for 40% of global energy
usage. An energy forecast model supports decision-makers to manage electric utility …
usage. An energy forecast model supports decision-makers to manage electric utility …