Route selection for real-time air quality monitoring to maximize spatiotemporal coverage
R Choudhary, A Agarwal - Journal of Transport Geography, 2024 - Elsevier
Air quality monitoring is essential to assess ambient air quality and its impact on commuters'
activities and health. The fixed monitoring stations are cost-intensive, laborious, and provide …
activities and health. The fixed monitoring stations are cost-intensive, laborious, and provide …
Spatiotemporal fracture data inference in sparse mobile crowdsensing: A graph-and attention-based approach
Mobile Crowdsensing (MCS) is a sensing paradigm that enables large-scale smart city
applications, such as environmental sensing and traffic monitoring. However, traditional …
applications, such as environmental sensing and traffic monitoring. However, traditional …
LC-TDC: A low cost and truth data collection scheme by using missing data imputation in sparse mobile crowdsensing
Abstract Mobile Crowd Sensing (MCS) is a promising computing paradigm for data
collection harnessing ubiquitous workers equipped with sensing devices. While some …
collection harnessing ubiquitous workers equipped with sensing devices. While some …
Online User Recruitment with Adaptive Budget Segmentation in Sparse Mobile Crowdsensing
X Guo, C Tu, Y Hao, Z Yu, F Huang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Sparse mobile crowdsensing (MCS) is a cost-effective data collection paradigm that aims to
recruit users to collect data from a part of sensing subareas and infer the rest. In a more …
recruit users to collect data from a part of sensing subareas and infer the rest. In a more …
[HTML][HTML] Assessment of the impact of sensor error on the representativeness of population exposure to urban air pollutants
For the monitoring of urban air pollution, smart sensors are often seen as a welcome
addition to fixed-site monitoring (FSM) networks. Due to price and simple installation …
addition to fixed-site monitoring (FSM) networks. Due to price and simple installation …
Adaptive Budgeting for Collaborative Multi-Task Data Collection in Online Sparse Crowdsensing
Sparse crowdsensing collects data from a subset of the sensing area and infers data for
unsensed areas, reducing data collection costs. Previous works have primarily focused on …
unsensed areas, reducing data collection costs. Previous works have primarily focused on …
异构群智感知PPO 多目标任务指派方法.
杨潇， 郭一楠， 吉建娇， 刘旭 - Control Theory & Applications …, 2024 - search.ebscohost.com
3. 中国矿业大学人工智能研究院, 江苏徐州221008) 摘要: 现有移动群智感知系统的任务指派
主要面向单一类型移动用户展开, 对于存在多种类型移动用户的异构群智感知任务指派研究相对 …
主要面向单一类型移动用户展开, 对于存在多种类型移动用户的异构群智感知任务指派研究相对 …
Optimizing air quality monitoring device deployment: a strategy to enhance distribution efficiency
P Sarkar, M Saha - International Journal of Information Technology, 2024 - Springer
Precise and efficient air quality monitoring is a pivotal step in combating the harmful effects
of pollution. Our research addresses the challenges in obtaining accurate air quality data …
of pollution. Our research addresses the challenges in obtaining accurate air quality data …
O2D: An uncooperative taxi-passenger's destination predication system via deep neural networks
Predicting passenger's destination with the partial GPS trajectory is a challenging yet
meaningful issue in the taxi industry. Existing destination prediction studies mainly focus on …
meaningful issue in the taxi industry. Existing destination prediction studies mainly focus on …
INTERNET OF THINGS-BASED AIR QUALITY ANALYSIS FOR MONITORING CO2 CONCENTRATION IN ROOFTOP BUILDING AREAS
This research aims to comprehend the air quality in rooftop areas in the city of DKI Jakarta,
renowned for its high population density and rapid infrastructure development. The main …
renowned for its high population density and rapid infrastructure development. The main …