scispace - formally typeset
Search or ask a question

Showing papers in "Sustainable Cities and Society in 2021"


Journal ArticleDOI
TL;DR: The objective of this paper is to annotate and localize the medical face mask objects in real-life images to improve the object detection process and it is concluded that the adam optimizer achieved the highest average precision percentage of 81% as a detector.

299 citations


Journal ArticleDOI
TL;DR: An overview of deep learning and its applications to healthcare found in the last decade is provided and three use cases in China, Korea, and Canada are presented to show deep learning applications for COVID-19 medical image processing.

282 citations


Journal ArticleDOI
TL;DR: In this paper, the authors investigated both, the determinants of ecological footprint and economic growth to explore the effectiveness of financial development, renewable energy and non-renewable energy utilization in reducing the ecological footprint level and boosting the economic growth during the period from 1990 to 2017 for 15 highest emitting countries.

270 citations


Journal ArticleDOI
TL;DR: In this paper, the effects of financial globalization, urbanization, eco-innovation, and economic growth on the ecological footprints of the G7 countries using annual frequency data spanning from 1980 to 2016, several latest econometric methods, that are robust to handling cross-sectionally dependent panel datasets, are employed to ascertain the environmental impacts of these variables.

246 citations


Journal ArticleDOI
TL;DR: In this article, the authors proposed an approach using deep learning, TensorFlow, Keras, and OpenCV to detect face masks using Single Shot Multibox Detector as a face detector and MobilenetV2 architecture as a framework for the classifier.

193 citations


Journal ArticleDOI
TL;DR: The transition in travel activity pattern and transport mobility in Istanbul appears to be quite extreme, particularly for commuting and SRL trips, according to the longitudinal panel study conducted in three phases during the early stages of the epidemic and pandemic.

191 citations


Journal ArticleDOI
TL;DR: Findings indicate that the developed framework successfully distinguishes individuals who walk too near and breaches/violates social distances; also, the transfer learning approach boosts the overall efficiency of the model.

182 citations


Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper proposed a hybrid approach between machine learning, adaptive neuro-fuzzy inference system and enhanced beetle antennae search swarm intelligence metaheuristics to predict the number of the COVID-19 cases.

167 citations


Journal ArticleDOI
TL;DR: Li et al. as mentioned in this paper used the correction coefficient calculated by the carbon emissions from energy consumption and basic land use emissions to estimate city-level land use carbon emissions (LUCEs) using a novel method.

144 citations


Journal ArticleDOI
TL;DR: A new realistic testbed architecture of IoT network deployed at the IoT lab of the University of New South Wales (UNSW) at Canberra is presented, and four machine learning-based anomaly detection algorithms are validated, revealing a high performance of detection accuracy.

136 citations


Journal ArticleDOI
TL;DR: In this paper, impact factors of local climate zone (LCZ) were identified using GIS spatial analysis and statistical analysis methods in conjunction with parameter models that reflect urban spatial morphologies on the LCZ scale.

Journal ArticleDOI
TL;DR: A data-driven deep learning-based framework for the sustainable development of a smart city, offering a timely response to combat the COVID-19 pandemic through mass video surveillance is proposed.

Journal ArticleDOI
TL;DR: In this article, a difference in difference (DID) model is employed to identify the effects of China's low-carbon city pilot (LCCP) policy implemented in 2012 on a city's green total factor productivity (GTFP) and explain their transmission mechanism.

Journal ArticleDOI
TL;DR: A tri-objective optimization framework for energy management of microgrids in the presence of smart homes and demand response (DR) program is presented and indicates that an increase in DR penetration reduces the PAR and operating costs and leads to a decrease in the customers’ comfort.

Journal ArticleDOI
TL;DR: Cognitive Assessment of Smart Home Resident (CA-SHR) is proposed to measure the ability of smart home residents in executing simple to complex activities of daily living using pre-defined scores assigned by a neuropsychologist and improves the reliability of the CA- SHR through the correct assignment of labels to the smart home resident compared with existing techniques.

Journal ArticleDOI
TL;DR: In this paper, a review of all the possible measures to improve the indoor air quality taking into account the affecting parameters has been done, which can deliberately help in bringing down the impact of declined air quality and prevent future biological attacks from affecting the occupant's health.

Journal ArticleDOI
TL;DR: Examination of the relationships between incidence rates and covariates in Oman found elderly population aged 65 and above, population density, hospital beds, and diabetes rates were found to be statistically significant determinants of COVID-19 incidence rates.

Journal ArticleDOI
TL;DR: A significant reduction in hourly average equivalent sound and hourly minimum sound levels was observed at all stations during the lockdown period and this can be attributed to reductions in both road and air traffic movements.

Journal ArticleDOI
TL;DR: In this article, the authors investigated the multifaceted interrelationships between the built and social environments and the impact of this relationship on population-level health in the context of the novel coronavirus disease 2019 (COVID-19).

Journal ArticleDOI
TL;DR: This paper summarizes the knowledge and interpretation of Smart Cities (SC), Cyber Security (CS), and Deep Learning (DL) concepts as well as discussed existing related work on IoT security in smart cities.

Journal ArticleDOI
TL;DR: In this article, the influence of urban spatial forms on land surface temperature (LST), the spatial distribution of LST and five urban morphology indicators were analyzed, namely floor area ratio (FAR), plot ratio (PR), absolute rugosity (Ra), mean aspect ratio (λc), and sky view factor (SVF).

Journal ArticleDOI
TL;DR: In this article, the authors studied the mobility dynamics and spatial distribution of people during lockdown in Italy and observed that tourists left the country and later Italians abroad managed to return, thereby, stabilising the population.

Journal ArticleDOI
TL;DR: In this article, the authors studied the spatiotemporal variation of day and night surface urban heat island intensity (SUHII) in the major cities of Bangladesh using MODIS land surface temperature (LST) data for the period 2000-2019.

Journal ArticleDOI
TL;DR: This article maps the scientific literature in human mobility behavior in the context of the current pandemic and identifies how air transportation- and environmental-related studies tend to be more mature research whereas the understanding of changes in travel behavior tends to be immature.

Journal ArticleDOI
TL;DR: The results from two huge hydropower reservoirs in China show that five artificial intelligence methods can achieve satisfying forecasting results, while the SVM, GPR and ELM methods can produce better performances than ANN and ANFIS in both training and testing phases with respective to four indexes.

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper investigated public participation in heat impact reduction by analyzing adaptive behaviours, familiarity with urban heat island (UHI) and cooling strategies, the perceived urgency of heat impact actions and citizen's willingness to pay through a questionnaire survey in Chongqing, China.

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors established the evaluation index system of cities' low-carbon development quality from the perspectives of economy, society, urban planning, energy utilization and environment, and 259 cities were divided into four grades.

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors analyzed the impact of environmental regulations (ERs) on green technology innovation efficiency (GTIE), and classified ERs into command-and-control, market-based and voluntary.


Journal ArticleDOI
TL;DR: Results revealed that the integrated scheduling of MEM in the presence of emerging technologies, incorporated with vehicle-to-grid (V2G) capability, reduces the total operational cost by 14.2 %.