Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature Review
F Zeng, C Pang, H Tang - Sensors, 2024 - mdpi.com
The Internet of Things (IoT) is a critical component of smart cities and a key contributor to the
achievement of the United Nations Sustainable Development Goal (UNSDG) 11 …
achievement of the United Nations Sustainable Development Goal (UNSDG) 11 …
Intelligent generative structural design method for shear wall building based on “fused-text-image-to-image” generative adversarial networks
Like the way engineers designing buildings, competent generative design methods try to
understand the prescriptive requirement in text and architectural sketches, apply …
understand the prescriptive requirement in text and architectural sketches, apply …
Federated generative model on multi-source heterogeneous data in iot
The study of generative models is a promising branch of deep learning techniques, which
has been successfully applied to different scenarios, such as Artificial Intelligence and the …
has been successfully applied to different scenarios, such as Artificial Intelligence and the …
An overview of event extraction and its applications
J Liu, L Min, X Huang - arXiv preprint arXiv:2111.03212, 2021 - arxiv.org
With the rapid development of information technology, online platforms have produced
enormous text resources. As a particular form of Information Extraction (IE), Event Extraction …
enormous text resources. As a particular form of Information Extraction (IE), Event Extraction …
[HTML][HTML] Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal–hydraulic code
Abstract Following the Fukushima Daiichi accident, enhancing the safety of nuclear power
plants has become the priority mission for the future of nuclear energy. Probabilistic safety …
plants has become the priority mission for the future of nuclear energy. Probabilistic safety …
Building multimodal knowledge bases with multimodal computational sequences and generative adversarial networks
D Chen, R Zhang - IEEE Transactions on Multimedia, 2023 - ieeexplore.ieee.org
Conventional knowledge graphs (KGs) are composed solely of entities, attributes, and
relationships, which poses challenges for enhancing multimodal knowledge representation …
relationships, which poses challenges for enhancing multimodal knowledge representation …
AI in Support of the SDGs: Six Recurring Challenges and Related Opportunities Identified Through Use Cases
This chapter provides an overview of six topics related to governance, ethical, legal, and
social implications of artificial intelligence (AI) for sustainable development goals (SDGs) …
social implications of artificial intelligence (AI) for sustainable development goals (SDGs) …
Solving in real-time the dynamic and stochastic shortest path problem for electric vehicles by a prognostic decision making strategy
Abstract The adoption of Electric Vehicles (EVs) has substantially increased during the last
decade, creating the need for customized EV-oriented routing strategies capable of using …
decade, creating the need for customized EV-oriented routing strategies capable of using …
Multimodality representation learning: A survey on evolution, pretraining and its applications
Multimodality Representation Learning, as a technique of learning to embed information
from different modalities and their correlations, has achieved remarkable success on a …
from different modalities and their correlations, has achieved remarkable success on a …
Extracting interrelated information from road-related social media data
The social media data (SMD) have been viewed as a potential and promising information
source of road conditions. However, most existing SMD-based sensing approaches …
source of road conditions. However, most existing SMD-based sensing approaches …