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Permeability. --- Density ratio --- Mixing
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Soils. --- Density ratio --- Moisture content
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Portland cement. --- Density ratio --- Water cement ratio --- Strength --- Mechanical properties --- Compactibility --- Mortars material
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Byproducts --- Plasticizers --- Epoxy resins --- Equivalent weight --- Spectrograms --- Density ratio --- Saccharin --- Theories --- Tests --- Viscosity
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Anomaly detection is a very large and complex field. In recent years, several techniques based on data science were designed in order to improve the efficiency of methods developed for this purpose. In particular, density-based anomaly detection allows to estimate how much probability densities differ from each other by solving a supervised learning problem using data drawn from these densities as a dataset. Besides, the casino games company GAMING1 aims at automating the detection of behavior modifications in its games when an update is performed. This master thesis introduces a method based on density-based anomaly detection to reach GAMING1’s objective. We explore two main approaches to solve this problem. The first one relies on standard supervised learning algorithms. For this approach, two algorithms were considered: Extremely randomized trees and linear support vector machine. The second approach is based on deep learning and exploits recurrent neural networks architectures. Using experimental cases of anomalies in casino games, it’s been shown that extremely randomized trees outperforms both other methods as far as performances and visual interpretation are concerned, but also considering computational resources. In addition to accuracy, we rely on several other metrics related to the comparison of probability densities in order to assess formal performances of the presented algorithm. We show that the tree-based method allows us to distinguish irregular data with an accuracy of at least 0.7 for standard anomalies, while providing relevant visual support thanks to probability densities representation. Moreover, it’s also possible to identify more hardly detectable anomalies by using classifier calibration in order to enhance the visual support of the probability densities, despite an associated low accuracy.
machine learning --- casino --- extra trees --- supervised learning --- anomaly detection --- density ratio --- Ingénierie, informatique & technologie > Sciences informatiques
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FOAM RUBBER --- POLYURETHANE RESINS --- SANDWICH PANELS --- MECHANICAL PROPERTIES --- COMPOSITE MATERIALS --- DENSITY RATIO --- PHYSICAL PROPERTY --- AGING TESTS MATERIALS --- COHESION --- GAS FLOW --- POLYMERS --- MECHANICAL TESTS --- PERMEABILITY --- SHEAR TESTS --- foam rubber --- polyurethane resins --- sandwich panels --- mechanical properties --- composite materials --- density ratio --- physical property --- aging tests materials --- cohesion --- gas flow --- polymers --- mechanical tests --- permeability --- shear tests
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Natural hazard events are able to significantly affect the natural and artificial environment. In this context, changes in landforms due to natural disasters have the potential to affect and, in some cases, even restrict human interaction with the ecosystem. In order to minimize fatalities and reduce the economic impact that accompanies their occurrence, proper planning is crucial. Land use planning can play an important role in reducing current and future risks related to natural hazards. Land use changes can lead to natural hazards and vice versa: natural hazards affect land uses. Therefore, planners may take into account areas that are susceptible to natural hazards when selecting favorable locations for land use development. Appropriate land use planning can lead to the determination of safe and non-safe areas for urban activities. This Special Issue focuses on land use planning for natural hazards. In this context, various types of natural hazards, such as land degradation and desertification, coastal hazard, floods, and landslides, as well as their interactions with human activities, are presented.
Research & information: general --- sea-level rise --- storm surge --- physical vulnerability --- social vulnerability --- Peloponnese --- Greece --- urbanization --- flood --- remote sensing/GIS --- Birendranagar --- Nepal --- landslides --- geographic information system (GIS) --- frequency ratio --- density ratio --- human activities --- land use planning --- historic flood data --- old topographic maps --- GIS --- temporal and spatial distribution of flood events --- marshy areas and lakes --- flood hazard assessment --- Integrated land-use planning --- land degradation --- desertification --- policy --- phronetic approach --- n/a
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Natural hazard events are able to significantly affect the natural and artificial environment. In this context, changes in landforms due to natural disasters have the potential to affect and, in some cases, even restrict human interaction with the ecosystem. In order to minimize fatalities and reduce the economic impact that accompanies their occurrence, proper planning is crucial. Land use planning can play an important role in reducing current and future risks related to natural hazards. Land use changes can lead to natural hazards and vice versa: natural hazards affect land uses. Therefore, planners may take into account areas that are susceptible to natural hazards when selecting favorable locations for land use development. Appropriate land use planning can lead to the determination of safe and non-safe areas for urban activities. This Special Issue focuses on land use planning for natural hazards. In this context, various types of natural hazards, such as land degradation and desertification, coastal hazard, floods, and landslides, as well as their interactions with human activities, are presented.
Research & information: general --- sea-level rise --- storm surge --- physical vulnerability --- social vulnerability --- Peloponnese --- Greece --- urbanization --- flood --- remote sensing/GIS --- Birendranagar --- Nepal --- landslides --- geographic information system (GIS) --- frequency ratio --- density ratio --- human activities --- land use planning --- historic flood data --- old topographic maps --- GIS --- temporal and spatial distribution of flood events --- marshy areas and lakes --- flood hazard assessment --- Integrated land-use planning --- land degradation --- desertification --- policy --- phronetic approach --- n/a
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Natural hazard events are able to significantly affect the natural and artificial environment. In this context, changes in landforms due to natural disasters have the potential to affect and, in some cases, even restrict human interaction with the ecosystem. In order to minimize fatalities and reduce the economic impact that accompanies their occurrence, proper planning is crucial. Land use planning can play an important role in reducing current and future risks related to natural hazards. Land use changes can lead to natural hazards and vice versa: natural hazards affect land uses. Therefore, planners may take into account areas that are susceptible to natural hazards when selecting favorable locations for land use development. Appropriate land use planning can lead to the determination of safe and non-safe areas for urban activities. This Special Issue focuses on land use planning for natural hazards. In this context, various types of natural hazards, such as land degradation and desertification, coastal hazard, floods, and landslides, as well as their interactions with human activities, are presented.
sea-level rise --- storm surge --- physical vulnerability --- social vulnerability --- Peloponnese --- Greece --- urbanization --- flood --- remote sensing/GIS --- Birendranagar --- Nepal --- landslides --- geographic information system (GIS) --- frequency ratio --- density ratio --- human activities --- land use planning --- historic flood data --- old topographic maps --- GIS --- temporal and spatial distribution of flood events --- marshy areas and lakes --- flood hazard assessment --- Integrated land-use planning --- land degradation --- desertification --- policy --- phronetic approach --- n/a
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Unconventional reservoirs are usually complex and highly heterogeneous, such as shale, coal, and tight sandstone reservoirs. The strong physical and chemical interactions between fluids and pore surfaces lead to the inapplicability of conventional approaches for characterizing fluid flow in these low-porosity and ultralow-permeability reservoir systems. Therefore, new theories and techniques are urgently needed to characterize petrophysical properties, fluid transport, and their relationships at multiple scales for improving production efficiency from unconventional reservoirs. This book presents fundamental innovations gathered from 21 recent works on novel applications of new techniques and theories in unconventional reservoirs, covering the fields of petrophysical characterization, hydraulic fracturing, fluid transport physics, enhanced oil recovery, and geothermal energy. Clearly, the research covered in this book is helpful to understand and master the latest techniques and theories for unconventional reservoirs, which have important practical significance for the economic and effective development of unconventional oil and gas resources.
shale gas --- permeability --- prediction by NMR logs --- matrix–fracture interaction --- faults --- remaining oil distributions --- unconventional reservoirs --- coal deformation --- reservoir depletion --- carbonate reservoir --- nanopore --- fracturing fluid --- pseudo-potential model --- shale reservoirs --- matrix-fracture interactions --- multi-scale fracture --- succession pseudo-steady state (SPSS) method --- fluid transport physics --- integrated methods --- chelating agent --- dissolved gas --- non-equilibrium permeability --- effective stress --- fractal --- fracture network --- spontaneous imbibition --- tight oil --- porous media --- 0-1 programming --- the average flow velocity --- geothermal water --- micro-fracture --- pore types --- pore network model --- petrophysical characterization --- nitrogen adsorption --- analysis of influencing factors --- mudstone --- rheology --- velocity profile --- shale permeability --- flow resistance --- global effect --- tight sandstones --- fractal dimension --- contact angle --- temperature-resistance --- fractured well transient productivity --- reservoir classifications --- deep circulation groundwater --- viscosity --- NMR --- fractional diffusion --- lattice Boltzmann method --- multiporosity and multiscale --- fractal geometry --- imbibition front --- productivity contribution degree of multimedium --- wetting angle --- pH of formation water --- enhanced oil recovery --- isotopes --- tight sandstone --- fracture diversion --- shale --- SRV-fractured horizontal well --- low-salinity water flooding --- shale gas reservoir --- tight reservoirs --- fracture continuum method --- tight oil reservoir --- Lucaogou Formation --- hydraulic fracturing --- clean fracturing fluid --- recovery factor --- flow regimes --- local effect --- complex fracture network --- pore structure --- gas adsorption capacity --- polymer --- non-linear flow --- conformable derivative --- production simulation --- analytical model --- enhanced geothermal system --- multi-scale flow --- experimental evaluation --- extended finite element method --- fluid-solid interaction --- groundwater flow --- well-placement optimization --- thickener --- imbibition recovery --- equilibrium permeability --- slip length --- large density ratio --- clay mineral composition --- finite volume method --- volume fracturing --- influential factors --- sulfonate gemini surfactant
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