The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis
SE Bibri, J Krogstie - Journal of Big Data, 2017 - Springer
Data sensing, information processing, and networking technologies are being fast
embedded into the very fabric of the contemporary city to enable the use of innovative …
embedded into the very fabric of the contemporary city to enable the use of innovative …
[HTML][HTML] GeoInFuse-A data-driven information fusion for intra-urban form classification in data-scarce heterogeneous cities
Understanding the variability in intra-urban forms is essential for protecting future-proofing
cities from climate volatilities. However, the classification of urban forms is costly due to its …
cities from climate volatilities. However, the classification of urban forms is costly due to its …
PSTAF-GAN: Progressive spatio-temporal attention fusion method based on generative adversarial network
Spatio-temporal fusion aims to integrate multisource remote sensing images with
complementary high spatial and temporal resolutions, so as to obtain time-series high …
complementary high spatial and temporal resolutions, so as to obtain time-series high …
CTMFNet: CNN and transformer multiscale fusion network of remote sensing urban scene imagery
P Song, J Li, Z An, H Fan, L Fan - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Semantic segmentation of remotely sensed urban scene images is widely demanded in
areas such as land cover mapping, urban change detection, and environmental protection …
areas such as land cover mapping, urban change detection, and environmental protection …
Deep learning-based remote and social sensing data fusion for urban region function recognition
Urban region function recognition is key to rational urban planning and management. Due to
the complex socioeconomic nature of functional land use, recognizing urban region function …
the complex socioeconomic nature of functional land use, recognizing urban region function …
Position-aware graph-CNN fusion network: an integrated approach combining geospatial information and graph attention network for multi-class change detection
Urban change detection (CD) is crucial for informed decision-making but faces various
challenges, including complex features, rapid changes, and extensive human interventions …
challenges, including complex features, rapid changes, and extensive human interventions …
Llm4drive: A survey of large language models for autonomous driving
Autonomous driving technology, a catalyst for revolutionizing transportation and urban
mobility, has the tend to transition from rule-based systems to data-driven strategies …
mobility, has the tend to transition from rule-based systems to data-driven strategies …
Characterizing the Data Landscape for Digital Twin Integration in Smart Cities
S Alam - Journal of Intelligent Connectivity and Emerging …, 2023 - questsquare.org
The advent of smart cities signifies a paradigm shift in urban management, predicated on the
synergistic integration of multifarious data sources. This study presents a rigorous …
synergistic integration of multifarious data sources. This study presents a rigorous …
Understanding cities with machine eyes: A review of deep computer vision in urban analytics
Modelling urban systems has interested planners and modellers for decades. Different
models have been achieved relying on mathematics, cellular automation, complexity, and …
models have been achieved relying on mathematics, cellular automation, complexity, and …
[HTML][HTML] Building use and mixed-use classification with a transformer-based network fusing satellite images and geospatial textual information
Assigning detailed use categories to buildings is a challenging and relevant task in urban
land use classification with applications in urban planning, digital city modelling and …
land use classification with applications in urban planning, digital city modelling and …