Urban big data fusion based on deep learning: An overview
Urban big data fusion creates huge values for urban computing in solving urban problems.
In recent years, various models and algorithms based on deep learning have been …
In recent years, various models and algorithms based on deep learning have been …
Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey
The proliferation of urban sensing, IoT, and big data in cities provides unprecedented
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …
Fsd50k: an open dataset of human-labeled sound events
Most existing datasets for sound event recognition (SER) are relatively small and/or domain-
specific, with the exception of AudioSet, based on over 2 M tracks from YouTube videos and …
specific, with the exception of AudioSet, based on over 2 M tracks from YouTube videos and …
Can building “artificially intelligent cities” safeguard humanity from natural disasters, pandemics, and other catastrophes? An urban scholar's perspective
In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented
pace. With highly sophisticated capabilities, AI has the potential to dramatically change our …
pace. With highly sophisticated capabilities, AI has the potential to dramatically change our …
Sound event detection in domestic environments with weakly labeled data and soundscape synthesis
This paper presents Task 4 of the Detection and Classification of Acoustic Scenes and
Events (DCASE) 2019 challenge and provides a first analysis of the challenge results. The …
Events (DCASE) 2019 challenge and provides a first analysis of the challenge results. The …
Architecting smart city digital twins: Combined semantic model and machine learning approach
This work was motivated by the premise that next-generation smart city systems will be
enabled by widespread adoption of sensing and communication technologies deeply …
enabled by widespread adoption of sensing and communication technologies deeply …
The internet of sounds: Convergent trends, insights, and future directions
Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …
to convergent research trends that bring together the field of sound and music Computing …
COVID-19: Detecting government pandemic measures and public concerns from Twitter arabic data using distributed machine learning
Today's societies are connected to a level that has never been seen before. The COVID-19
pandemic has exposed the vulnerabilities of such an unprecedently connected world. As of …
pandemic has exposed the vulnerabilities of such an unprecedently connected world. As of …
Adaptive pooling operators for weakly labeled sound event detection
Sound event detection (SED) methods are tasked with labeling segments of audio
recordings by the presence of active sound sources. SED is typically posed as a supervised …
recordings by the presence of active sound sources. SED is typically posed as a supervised …
Sound event detection in synthetic domestic environments
We present a comparative analysis of the performance of state-of-the-art sound event
detection systems. In particular, we study the robustness of the systems to noise and signal …
detection systems. In particular, we study the robustness of the systems to noise and signal …