Intelligent technologies for construction machinery using data-driven methods
Z Zheng, F Wang, G Gong, H Yang, D Han - Automation in Construction, 2023 - Elsevier
Along with the rapid development of infrastructure worldwide, traditional manual operations
have been a concern that restricts the high efficiency, safety, and quality of construction …
have been a concern that restricts the high efficiency, safety, and quality of construction …
Machine learning-based detection for cyber security attacks on connected and autonomous vehicles
Connected and Autonomous Vehicle (CAV)-related initiatives have become some of the
fastest expanding in recent years, and have started to affect the daily lives of people. More …
fastest expanding in recent years, and have started to affect the daily lives of people. More …
Web-based new student admission information system using waterfall method
F Aldi - Sinkron: jurnal dan penelitian teknik informatika, 2021 - jurnal.polgan.ac.id
The current development of information technology on the activities of people's daily lives is
very influential. Where in doing an activity that takes a lot of time can be shortened to …
very influential. Where in doing an activity that takes a lot of time can be shortened to …
A semi-boosted nested model with sensitivity-based weighted binarization for multi-domain network intrusion detection
JW Mikhail, JM Fossaceca, R Iammartino - ACM Transactions on …, 2019 - dl.acm.org
Effective network intrusion detection techniques are required to thwart evolving
cybersecurity threats. Historically, traditional enterprise networks have been researched …
cybersecurity threats. Historically, traditional enterprise networks have been researched …
Selecting the most suitable classification algorithm for supporting assistive technology adoption for people with dementia: a multicriteria framework
The number of people with dementia (PwD) is increasing dramatically. PwD exhibit
impairments of reasoning, memory, and thought that require some form of self‐management …
impairments of reasoning, memory, and thought that require some form of self‐management …
New approaches in metaheuristic to classify medical data using artificial neural network
Abstract Artificial Neural Networks have been applied as a useful technique for
classification. Based on the above, we propose a method called Velocity-Enhanced Whale …
classification. Based on the above, we propose a method called Velocity-Enhanced Whale …
[图书][B] Implementing Machine Learning to Achieve Dynamic Zero-Trust Intrusion Detection Systems (ZT-IDS) in 5G Based IoT Networks
MG Nour - 2023 - search.proquest.com
Abstract The Internet of Things (IoT) pertains to devices that link to a network to gather and
exchange data. With the increasing quantity of such devices, so do the associated security …
exchange data. With the increasing quantity of such devices, so do the associated security …
Comparison of the performance results of c4. 5 and random forest algorithm in data mining to predict childbirth process
Technology advancements in the world of information have made it easier for many people
to process data. Data mining is a process of mining more valuable information from large …
to process data. Data mining is a process of mining more valuable information from large …
An Illustration of Rheumatoid Arthritis Disease Using Decision Tree Algorithm
U Ramasamy, S Sundar - Informatica, 2022 - informatica.si
Data Mining domain integrates several partitions of the computer science and analytics field.
Data mining focuses on mine data from a repository of datasets, to identify patterns, discover …
Data mining focuses on mine data from a repository of datasets, to identify patterns, discover …
Student adaptivity classification in online education through stacked ensemble learning
M Sharif, S Buyrukoglu, A Akbas - Multimedia Tools and Applications, 2024 - Springer
Online and e-learning have become indispensable components of the educational process.
Enhancing students' adaptation to this form of education is crucial for achieving optimal …
Enhancing students' adaptation to this form of education is crucial for achieving optimal …