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Optimizing flood risk modelling with high-resolution remote sensing data and analytic hierarchy process
Flooding is a global phenomenon with devastating effects on human lives, livelihoods, and properties. Flood risk management is key to reducing...
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Exploring the interpretability of legal terms in tasks of classification of final decisions in administrative procedures
Nodaways, diverse artificial intelligence techniques have been applied to analyse datasets in the legal domain. Precisely, several studies aim at...
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Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
The intensity of wildfires and wildfire season length is increasing due to climate change, causing a greater threat to the local population. Much of...
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Transfer learning for hate speech detection in social media
Today, the internet is an integral part of our daily lives, enabling people to be more connected than ever before. However, this greater connectivity...
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Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis
This paper surveys the extant literature on machine learning, artificial intelligence, and deep learning mechanisms within the financial sphere using...
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Coda
The chapter concludes our exploration of the integration between computational social science (CSS) and sociology. We emphasize the necessity of...
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Carbon Neutrality and Environmental Governance
Carbon neutrality is one of the most important environmental protection goals worldwide. This chapter discusses the environmental governance issues...
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Informal green space contribution to city’s recreational green open space need of a densely populated old city: A case of Patna, India
India’s population increase has affected the Urban Green open space (UGOS). This population explosion has resulted in insufficient outdoor...
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Temperature effects on rural household outmigration: Evidence from China
Changes in temperature extremes under climate change are expected to affect outmigration in rural areas through an agricultural mechanism. This study...
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Improving crime count forecasts in the city of Rio de Janeiro via reconciliation
Crime prediction based on reliable data and sound statistical methodologies can provide valuable input for tactical deployment of police resources in...
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Analyzing the influence of web search behavior on electricity market price: a case study of Japan electric power exchange
The Japan Electric Power Exchange (JEPX) has introduced a feed-in premium to promote the trading of renewable energy electricity in the market; thus,...
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Can We Rely on Projections of the Immigrant Population? The Case of Norway
Demographic forecasters must be realistic about how well they can predict future populations, and it is important that they include estimates of...
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Analyzing tourism reviews using Deep Learning and AI to predict sentiments
In this study, we investigate the application of Artificial Intelligence (AI), specifically through Deep Learning and neural networks, in analyzing...
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Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance
Intervention-based mitigation methods have become a common way to fight misinformation on Social Media (SM). However, these methods depend on how...
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Two Decades of Geospatial Evolution: Tracing the Analytical Journey towards Data-Driven Road Crash Prevention
Globally, road crashes impose massive burdens, and understanding the complex factors influencing crash patterns requires advanced analytical methods....
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Number of Close Kin but Not Gendered Fitness Interests Shapes Sex Role Attitudes
ObjectiveGendered Fitness Interests (GFI) Theory posits that the sex of one’s close kin is a source of variation in socio-political attitudes,...
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Application of SNP-Based DNA Phenoty** to Archaeological and Forensic Cases
DNA phenoty** refers to the prediction of appearance traits of a sample donor via DNA analysis. In the forensic field, pigmentation traits, such as...
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Indigenous Ways of Predicting Agricultural Droughts in Zimbabwe
Apparently, many agricultural communities in Africa live in remote areas which are not adequately covered by climate information services, albeit...
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Analysis of LULC change dynamics and its impact assessment using CA-ANN model in part of Coimbatore region, India
Understanding the LULC change is essential to adopt the new development activities in the particular study area. The study reveals the LULC change...
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Prediction of future situation of land use/cover change and modeling sensitivity to pollution in Edku Lake, Egypt based on geospatial analyses
Assessing land use/cover (LULC) change in coastal lakes is an essential process for sustainable development. Edku Lake is one of the most important...
