Applying an interpretable machine learning framework to the traffic safety order analysis of expressway exits based on aggregate driving behavior data

H Qi, Y Yao, X Zhao, J Guo, Y Zhang, C Bi - Physica A: Statistical …, 2022 - Elsevier
In light of the increasing amount of traffic disorder at road traffic hubs, to improve traffic
safety, it is essential to detect road risks in advance and analyze the causes after its …

A botnet detection in IoT using a hybrid multi-objective optimization algorithm

F Hosseini, FS Gharehchopogh, M Masdari - New Generation Computing, 2022 - Springer
Abstract The Internet of Things (IoT) is an emerging network that has experienced a lot of
progress due to extensive developments and development in this network. Due to the …

A discrete time-varying greywolf IoT botnet detection system

M Alazab - Computer Communications, 2022 - Elsevier
Internet of things (IoT) is an emerging network that is trending due to advances in computing
and networking development. A botnet is an attack that threatens the IoT system because of …

[HTML][HTML] Utilizing a machine learning algorithm to choose a significant traffic identification system

R Natarajan, CP Ranjith, MSK Mohideen… - International Journal of …, 2024 - Elsevier
The tremendous advancements in computing, sensing, and cognitive-based revolution have
made way for critical infrastructure needed to improve the internet for more extensive …

Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities

S Gupta, AK Tripathi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Fruits and vegetables are major sources of nutrients for the majority of the population across
the globe. With the rapid increase in population, the objectives of the future agro-industry are …

E2EGI: End-to-End gradient inversion in federated learning

Z Li, L Wang, G Chen, Z Zhang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
A plethora of healthcare data is produced every day due to the proliferation of prominent
technologies such as Internet of Medical Things (IoMT). Digital-driven smart devices like …

A research on traceability technology of agricultural products supply chain based on blockchain and IPFS

L Zhang, W Zeng, Z Jin, Y Su… - Security and …, 2021 - Wiley Online Library
Blockchain technology, the fundamental technology of Bitcoin, is featured with high
transparency, decentralization, traceability, tamperproof nature, and anonymousness. In this …

Majority voting based hybrid ensemble classification approach for predicting parking availability in smart city based on IoT

A Sampathkumar, R Maheswar… - 2020 11th …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) deployed enormous amount of data. The most challenging research
is scrutinizing the parking availability among the distributed traffic in smart city. Usage of IoT …

Multicriteria decision and machine learning algorithms for component security evaluation: library‐based overview

J Zhang, S Nazir, A Huang… - Security and …, 2020 - Wiley Online Library
Components are the significant part of a system which plays an important role in the
functionality of the system. Components are the reusable part of a system which are already …

On-device context-aware misuse detection framework for heterogeneous IoT edge

K Krinkin - Applied Intelligence, 2023 - Springer
Traditional AI techniques for offline misuse network intrusion detection have performed well,
assuming that the traffic from the datasets is sufficiently large for generalization, balanced …