A deep learning-based framework for an automated defect detection system for sewer pipes

X Yin, Y Chen, A Bouferguene, H Zaman… - Automation in …, 2020 - Elsevier
The municipal drainage system is a key component of every modern city's infrastructure.
However, as the drainage system ages its pipes gradually deteriorate at rates that vary …

Scheduling real-time deep learning services as imprecise computations

S Yao, Y Hao, Y Zhao, H Shao, D Liu… - 2020 IEEE 26th …, 2020 - ieeexplore.ieee.org
The paper presents a real-time computing framework for intelligent real-time edge services,
on behalf of local embedded devices that are themselves unable to support extensive …

On removing algorithmic priority inversion from mission-critical machine inference pipelines

S Liu, S Yao, X Fu, R Tabish, S Yu… - 2020 IEEE Real …, 2020 - ieeexplore.ieee.org
The paper discusses algorithmic priority inversion in mission-critical machine inference
pipelines used in modern neural-network-based cyber-physical applications, and develops …

A comparison of smart city research and practice in Sweden and Japan: trends and opportunities identified from a literature review and co-occurrence network …

N Sakuma, G Trencher, M Yarime, M Onuki - Sustainability Science, 2021 - Springer
Smart cities continue to be conceived and implemented around the world as literature
documenting these trends grows at a similar pace. Practices focused on narrow techno …

[PDF][PDF] A garbage detection and classification method based on visual scene understanding in the home environment

Y Wu, X Shen, Q Liu, F Xiao, C Li - Complexity, 2021 - downloads.hindawi.com
Garbage classification is a social issue related to people's livelihood and sustainable
development, so letting service robots autonomously perform intelligent garbage …

An improved soft-YOLOX for garbage quantity identification

J Lin, C Yang, Y Lu, Y Cai, H Zhan, Z Zhang - Mathematics, 2022 - mdpi.com
Urban waterlogging is mainly caused by garbage clogging the sewer manhole covers. If the
amount of garbage at a sewer manhole cover can be detected, together with an early …

Cruisers: An automotive sensing platform for smart cities using door-to-door garbage collecting trucks

Y Chen, J Nakazawa, T Yonezawa, H Tokuda - Ad Hoc Networks, 2019 - Elsevier
Due to the advance in information and communication technologies, smart cities have
become an increasingly appealing vision. One indispensable basis in the research …

SEFWaM–deep learning based smart ensembled framework for waste management

S Goel, A Mishra, G Dua, V Bhatia - Environment, Development and …, 2023 - Springer
Waste generation has seen a significant surge in the last decade, presenting an urgent need
for efficient and sustainable waste management strategies. The mounting piles of landfill …

A highly efficient garbage pick-up embedded system based on improved SSD neural network using robotic arms

SH Lee, CH Yeh - Journal of Ambient Intelligence and Smart …, 2022 - content.iospress.com
With the social evolution, economic development, and continuously improved living
standards, the dramatically increasing garbage produced by human beings has seriously …

[PDF][PDF] 基于Faster RCNN 的生活垃圾智能识别

文灿华, 李佳, 董雪 - Laser & Optoelectronics Progress, 2020 - researching.cn
摘要利用FasterRCNN 算法实现生活垃圾的高精度识别. 选取典型的6 种生活垃圾建立数据集,
采用数据增强方法提升了数据集目标数量及目标类别, 尺度均衡性, 分析对比三种具有显著差异 …