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Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …
sustainable development by harnessing the power of cross-domain data fusion from diverse …
A survey on service route and time prediction in instant delivery: Taxonomy, progress, and prospects
Instant delivery services, such as food delivery and package delivery, have achieved
explosive growth in recent years by providing customers with daily-life convenience. An …
explosive growth in recent years by providing customers with daily-life convenience. An …
A predictive framework for last-mile delivery routes considering couriers' behavior heterogeneity
Last-mile route prediction is a powerful tool for freight delivery companies that can be
essential in the development of new features such as arrival time prediction or accurate …
essential in the development of new features such as arrival time prediction or accurate …
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network
Accurately estimating packages' arrival time in e-commerce can enhance users' shop**
experience and improve the placement rate of products. This problem is often formalized as …
experience and improve the placement rate of products. This problem is often formalized as …
Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction
Intelligent logistics relies on accurately predicting the service time, which is a part of time
cost in the last-mile delivery. However, service time prediction (STP) is non-trivial given …
cost in the last-mile delivery. However, service time prediction (STP) is non-trivial given …
A Hybrid Model Integrating Fuzzy Systems and Convolutional Factorization Machine for Delivery Time Prediction in Intelligent Logistics
D Zhu, Z Han, X Du, D Zuo, L Cai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Logistics distribution plays a crucial role in smart logistics systems, with delivery time
prediction being a key issue. Accurately predicting the delivery time of parcels positively …
prediction being a key issue. Accurately predicting the delivery time of parcels positively …
Adaptive Cross-platform Transportation Time Prediction for Logistics
Accurate prediction of order transportation time is essential for customer satisfaction in
logistics. Existing methods based on origin-destination (OD) pairs do not consider the …
logistics. Existing methods based on origin-destination (OD) pairs do not consider the …
A Momentum Contrastive Learning Framework for Query-POI Matching
Y Qiang, J Zheng, L Wu, H Wen, J Lou… - … Conference on Data …, 2024 - ieeexplore.ieee.org
The query-POI matching task involves interpreting noisy textual addresses to retrieve
corresponding Points-of-Interest (POIs), which is crucial for location-based service providers …
corresponding Points-of-Interest (POIs), which is crucial for location-based service providers …
Balancing Efficiency and Experience: A Predictive Cyber Physical System (CPS) for Urban Logistics
S Zhong - 2024 - search.proquest.com
Abstract Cyber-Physical Systems (CPS) integrate physical entities with information systems,
enabling sensing, decision-making, and control actions, which has driven the development …
enabling sensing, decision-making, and control actions, which has driven the development …
Dynamic Time-Window Updates in Last-Mile Delivery:'Follow Your Parcel'
Accurate delivery time windows are crucial for customer satisfaction in last-mile logistics,
presenting a challenging task influenced by factors such as route optimization and driver …
presenting a challenging task influenced by factors such as route optimization and driver …