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Data-Driven Approaches for Prediction and Classification of Building Energy Consumption
A recent surge of interest in the building energy consumption has generated a tremendous amount of energy data, which boosts the data-driven...
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A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport
The location problem of Bundling Hubs (BHs) remains a contentious issue for efficient shared transportation systems. In this respect, the strategic...
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Prediction of sonic log and correlation of lithology by comparing geophysical well log data using machine learning principles
The well logging technique is used to determine the petrophysical properties like porosity, permeability and fluid saturations of subsurface...
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Mechanisms, Systems, Autonomy, Hermeneutics, and Understanding Human Life
As we have seen throughout this work, many if not all social sciences adopt different approaches to human life. None, however, genuinely tries to...
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The regulatory quality in the light of environmental, social and governance framework at world level
This article investigates the determinants of Regulatory Quality-RQ for 193 countries in the period 2011–2020.The database used is the World Bank's...
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Predicting urban growth and its impact on fragile environment using Land Change Modeler (LCM): a case study of Djelfa City, Algeria
This study aims at predicting the urban growth of Djelfa, which is the largest Algerian semi-arid city, and assessing its impact on Land Use / Land...
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Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500
This article conducts a systematic comparison of three methods for predicting the direction (+/−) of financial time series using over ten years of...
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Quantification of urban expansion in Siliguri urban agglomeration (UA): a model-based approach
In the study of new towns and cities, spatial assimilation and the complex nature of urban development hold issues of special importance. At present,...
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Prediction of waterlogged zones under heavy rainfall conditions using machine learning and GIS tools: a case study of Mumbai
Flooding is a common phenomenon in the urban areas located close to the seacoast. In India, there is a recurrence of floods in the coastal cities of...
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AI and Deep Learning for Urban Computing
In the big data era, with the large volume of available data collected by various sensors deployed in urban areas and the recent advances in AI...
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An urban-level prediction of lockdown measures impact on the prevalence of the COVID-19 pandemic
The world still suffers from the COVID-19 pandemic, which was identified in late 2019. The number of COVID-19 confirmed cases are increasing every...
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Reinforcement Learning Methodologies for Controlling Occupant Comfort in Buildings
Classical building control systems are becoming vulnerable with increasing complexities in contemporary built environments and energy systems. Due to...
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Evaluating Landsat-8, Landsat-9 and Sentinel-2 imageries in land use and land cover (LULC) classification in a heterogeneous urban area
Land use and land cover (LULC) map** is important for sustainable land management and has received great attention from researchers over the years....
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Big Data Governance, Technology, and Implementation in Climate-Resilient Societies
Climate change will impact and disrupt integrated social-ecological systems (societies) in diverse, complex, and uncertain ways. It will alter...
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Walking behaviour and safety of pedestrians at different types of facilities: a review of recent research and future research needs
Pedestrians cross at uncontrolled intersections and mid-blocks through gap acceptance. The absence of traffic enforcement and sufficient safety...
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Big Data Governance, Technology, and Implementation in Climate-Resilient Societies
Climate change will impact and disrupt integrated social-ecological systems (societies) in diverse, complex, and uncertain ways. It will alter...
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Gated or Ungated? A Case Study on Walkability Measurement for Urban Communities
The walkability is closely related to the lifestyle and health of local residents. Unreasonable community design may result in spatially segregated...
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A scientometric analysis of the housing affordability literature
Interest in the global unaffordable housing crisis is evident in its burgeoning publications. However, systematic review of the literature is limited...
