A review on emergency vehicle management for intelligent transportation systems
Designing an Emergency Vehicle Management (EVM) system that can provide competent
services with the shortest possible delay is challenging. This is primarily due to the highly …
services with the shortest possible delay is challenging. This is primarily due to the highly …
A survey of route recommendations: Methods, applications, and opportunities
Nowadays, with advanced information technologies deployed citywide, large data volumes
and powerful computational resources are intelligentizing modern city development. As an …
and powerful computational resources are intelligentizing modern city development. As an …
Multi-level graph neural network for text sentiment analysis
Text sentiment analysis is a fundamental task in the field of natural language processing
(NLP). Recently, graph neural networks (GNNs) have achieved excellent performance in …
(NLP). Recently, graph neural networks (GNNs) have achieved excellent performance in …
Multi-objective reinforcement learning approach for trip recommendation
Trip recommendation is an intelligent service that provides personalized itinerary plans for
tourists in unfamiliar cities. It aims to construct a series of ordered POIs that maximizes user …
tourists in unfamiliar cities. It aims to construct a series of ordered POIs that maximizes user …
Self-supervised spatiotemporal graph neural networks with self-distillation for traffic prediction
Spatiotemporal graph neural networks (GNNs) have been used successfully in traffic
prediction in recent years, primarily owing to their ability to model complex spatiotemporal …
prediction in recent years, primarily owing to their ability to model complex spatiotemporal …
Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion
Trip recommendation is a popular and significant location-aware service that can help
visitors make more accurate travel plans. Its principal purpose is to provide a sequence of …
visitors make more accurate travel plans. Its principal purpose is to provide a sequence of …
Personalized tourist route recommendation model with a trajectory understanding via neural networks
N Mou, Q Jiang, L Zhang, J Niu, Y Zheng… - … Journal of Digital …, 2022 - Taylor & Francis
Travel recommendations form a major part of tourism service. Traditional collaborative
filtering and Markov model are not appropriate for expressing the trajectory features, for …
filtering and Markov model are not appropriate for expressing the trajectory features, for …
A socially motivating and environmentally friendly tour recommendation framework for tourist groups
Traveling in a group brings various social and environmental benefits, yet members might
have different (and sometime conflicting) preferences. In this study, a tour recommendation …
have different (and sometime conflicting) preferences. In this study, a tour recommendation …
Car drag coefficient prediction using long–short term memory neural network and LASSO
S Shen, T Han, J Pang - Measurement, 2024 - Elsevier
Although the methods of car's shape designing have undergone significant changes, the
drag coefficient has consistently act as a crucial indicator of a car's fuel efficiency and …
drag coefficient has consistently act as a crucial indicator of a car's fuel efficiency and …