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5G-enabled V2X communications for vulnerable road users safety applications: A review
Abstract Intelligent Transportation System (ITS) is continuously evolving alongside
communication technologies and autonomous driving, giving way to new applications and …
communication technologies and autonomous driving, giving way to new applications and …
Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing
This study aims to comprehensively review and empirically evaluate the application of
multimodal large language models (MLLMs) and Large Vision Models (VLMs) in object …
multimodal large language models (MLLMs) and Large Vision Models (VLMs) in object …
Comparative analysis of AlexNet, ResNet18 and SqueezeNet with diverse modification and arduous implementation
Road cracks are caused due to the abundant usage of the roads, heavy traffic, and
increased prerequisite of transportation. So road maintenance is an important aspect of such …
increased prerequisite of transportation. So road maintenance is an important aspect of such …
A transfer learning CNN-LSTM network-based production progress prediction approach in IIoT-enabled manufacturing
C Liu, H Zhu, D Tang, Q Nie, S Li… - International Journal of …, 2023 - Taylor & Francis
In make-to-order manufacturing workshops, accurate prediction value of production
progress (PP) is a significant reference index for dynamic optimisation of production process …
progress (PP) is a significant reference index for dynamic optimisation of production process …
Transportation mode detection through spatial attention-based transductive long short-term memory and off-policy feature selection
With mobile internet technology improving quickly, smartphones with many sensors have
become increasingly popular for detecting transportation modes. Transportation modes are …
become increasingly popular for detecting transportation modes. Transportation modes are …
Driving behavior classification at signalized intersections using vehicle kinematics: Application of unsupervised machine learning
Driving behavior is considered as a unique driving habit of each driver and has a significant
impact on road safety. This study proposed a novel data-driven Machine Learning …
impact on road safety. This study proposed a novel data-driven Machine Learning …
Investigation on lightweight identification method for pavement cracks
A Meng, X Zhang, X Yu, L Jia, Z Sun, L Guo… - … and Building Materials, 2024 - Elsevier
Mastering a lightweight method for the identification of pavement surface cracks plays a vital
role in enhancing the efficiency and accuracy of pavement crack detection. However, the …
role in enhancing the efficiency and accuracy of pavement crack detection. However, the …
[HTML][HTML] Application of smart technologies in safety of vulnerable road users: A review
Road safety is the most important feature of a modern city, and it affects almost everyone in
the community, especially vulnerable road users (VRUs). This paper comprehensively …
the community, especially vulnerable road users (VRUs). This paper comprehensively …
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity
This study seeks to enhance academic integrity by providing tools to detect AI-generated
content in student work using advanced technologies. The findings promote transparency …
content in student work using advanced technologies. The findings promote transparency …
Advancing roadway sign detection with yolo models and transfer learning
S Nafaa, K Ashour, R Mohamed… - 2024 IEEE 3rd …, 2024 - ieeexplore.ieee.org
Roadway signs detection and recognition is an essential element in the Advanced Driving
Assistant Systems (ADAS). Several artificial intelligence methods have been used widely …
Assistant Systems (ADAS). Several artificial intelligence methods have been used widely …