Vehicle-to-Infrastructure-Based Traffic Signal Optimization for Isolated Intersection
Y Qiao, T Meng, H Qin, Z Hu, Z Zhong - Sustainability, 2023 - mdpi.com
Traffic signal control is critical for traffic efficiency optimization but is usually constrained by
traffic detection methods. The emerging V2I (Vehicle to Infrastructure) technology is capable …
traffic detection methods. The emerging V2I (Vehicle to Infrastructure) technology is capable …
Research on ontology-based construction risk knowledge base development in deep foundation pit excavation
Y Chen, B Liang, H Hu - Journal of Asian Architecture and Building …, 2024 - Taylor & Francis
Facing the massive amount of risk management data for deep foundation pit excavation
(DFPE) construction, how to store and utilize these data to prevent the occurrence of risk …
(DFPE) construction, how to store and utilize these data to prevent the occurrence of risk …
The ontology model for selecting quality melons uses hidden semantic data based on melon knowledge domains
A quality-oriented melon selection process is an important factor in increasing consumers
willingness to pay. However, unlike most fruits, melons are usually sold whole, making it …
willingness to pay. However, unlike most fruits, melons are usually sold whole, making it …
Sensor Based Traffic System With Pedestrians In Mind
A Gomaa, S Prattipati - 2023 40th National Radio Science …, 2023 - ieeexplore.ieee.org
The number of road injury fatalities is expected to double by 2030 in low-and medium-
income countries affecting mainly pedestrians and cyclists. The paper proposes a relatively …
income countries affecting mainly pedestrians and cyclists. The paper proposes a relatively …
Modeling Ontology for Knowledge Based Buyer Persona Expert System
Buyer Persona help business in setting targets, marketing strategies and decision making
through the use of information technology. This research found that there has been no …
through the use of information technology. This research found that there has been no …
Smart optimizer selection technique: a comparative study of modified DensNet201 with other deep learning models
K Manguri, AA Mohammed - Informatyka, Automatyka, Pomiary w …, 2023 - ph.pollub.pl
The rapid growth and development of AI-based applications introduce a wide range of deep
and transfer learning model architectures. Selecting an optimal optimizer is still challenging …
and transfer learning model architectures. Selecting an optimal optimizer is still challenging …
Інтелектуальна система керування потоками автомобільного транспорту: Основні концепти онтології
РВ Мазуренко, БМ Єременко - … розвитком складних систем, 2023 - mdcs.knuba.edu.ua
Анотація Роботу спрямовано на вирішення проблеми заторів, що виникають на
керованих світлофорами складних перехрестях. Проблема розглядається на прикладі …
керованих світлофорами складних перехрестях. Проблема розглядається на прикладі …