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Smart cities survey: Technologies, application domains and challenges for the cities of the future
R Sánchez-Corcuera… - International …, 2019 - journals.sagepub.com
The introduction of the Information and Communication Technologies throughout the last
decades has created a trend of providing daily objects with smartness, aiming to make …
decades has created a trend of providing daily objects with smartness, aiming to make …
A comprehensive survey on coded distributed computing: Fundamentals, challenges, and networking applications
JS Ng, WYB Lim, NC Luong, Z ** a Happiness Driven Smart City
H Zhu, L Shen, Y Ren - Sustainable cities and society, 2022 - Elsevier
Smart City conception has become a global trend with the advancement of Information and
Communications Technologies (ICTs). Many cities have proposed Smart City development …
Communications Technologies (ICTs). Many cities have proposed Smart City development …
Long-term time-series pollution forecast using statistical and deep learning methods
Tackling air pollution has become of utmost importance since the last few decades. Different
statistical as well as deep learning methods have been proposed till now, but seldom those …
statistical as well as deep learning methods have been proposed till now, but seldom those …
Spatiotemporal event detection: A review
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …
social sensing, and health sensing, have tremendously improved our capability to observe …
Crowdsourcing and sensing for indoor localization in IoT: A review
B Lashkari, J Rezazadeh, R Farahbakhsh… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
Among the emerging concepts in the context of IoT, crowdsourcing, and crowdsensing are
known as two critical building blocks on the intersection point of things and human-based …
known as two critical building blocks on the intersection point of things and human-based …
OccupancySense: Context-based indoor occupancy detection & prediction using CatBoost model
Occupancy detection and prediction are two well-established problems which can be
improved further to achieve higher accuracy in both cases than the existing solutions. To …
improved further to achieve higher accuracy in both cases than the existing solutions. To …
Towards privacy-driven truthful incentives for mobile crowdsensing under untrusted platform
Reverse auction-based incentive mechanisms have been commonly proposed to stimulate
mobile users to participate in crowdsensing, where users submit bids to the platform to …
mobile users to participate in crowdsensing, where users submit bids to the platform to …
Pollutant specific optimal deep learning and statistical model building for air quality forecasting
Poor air quality is becoming a critical environmental concern in different countries over the
last several years. Most of the air pollutants have serious consequences on human health …
last several years. Most of the air pollutants have serious consequences on human health …