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An Econometric Approach Towards Exploring the Impact of Workers Remittances on Inflation: Empirical Evidence from India
This paper attempts to study short and long run impact of increased worker’s remittances on general price level. It uses the real GDP growth, real...
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A forecasting model for time series based on improvements from fuzzy clustering problem
This article proposes a new fuzzy time series model that can interpolate historical data, and forecast effectively for the future. It is combination...
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Research on the Governance Modality of Village-in-City Based on Mitchell Score-Based Approach
Village-in-city is a non-agricultural village formed by the rapid advancement of urbanization in China and the urban-rural dual structure, where the...
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Produktionsfaktor „Betriebsmittel“
Der Produktionsfaktor „Betriebsmittel“ umfasst alle Potentialfaktoren wie Maschinen, Anlagen und Werkzeuge. Jede Form der Betriebsmittelorganisation...
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Assessment of the Berkeley Solar Drone’s Ability to Save Energy and Assist in the Development of Fifth Generation Mobile Networks with IoT Capability, Modeling and Optimization
The problem of long-haul flight has not yet been adequately solved with the use of unmanned aerial vehicles (UAVs). Conventional engines are usually...
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Can Reservoirs Combine Flood Protection and Irrigation? A Case Study for Larissa City, Greece
Urbanization and climate change have put large segments of the population at risk of heavy rainfall, river, and coastal flooding. In order to keep up...
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Grundlage des dispositiven Faktors: Information
Für die Steuerung eines Betriebs werden tagtäglich viele Informationen benötigt und verarbeitet. Im operativen Bereich handelt es sich dabei...
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Hydro-Symbiotic Morphologies: Generative Design Processes for Hyper Arid Ecosystems
The Hydro-Symbiotic Morphologies project, presented as part of the Master of Science in Emergent Technologies and Design of the Architectural...
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Manufacture of an Acoustic Absorption Veil by Using Recycled Materials of Agro-industrial Sector
The use of wastes from agro-industrial activities is an environmental and economic diversification challenge within the circular economy action plan...
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Gestaltung des Value Proposition Deployments
In diesem Kapitel wird die Gestaltung des Value Proposition Deployments vorgeschlagen. In Abschnitt 6.1 erfolgt dabei die Beschreibung der...
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Discrete Event Simulation of Manufacturing Processes and Inventory Control
This chapter is devoted to the development of simulation models for manufacturing process and inventory control. First, we learn principles of...
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Representation of Random Variables
In this chapter, we present some methods to determine the distribution of a random variable from limited-sized samples. The methods are based on the...
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Exploration of big-BAF Sampling Potential for Volume Estimation in Abies borisii-regis Matff. Forest Stands
A reliable sampling design is essential for the accurate estimation of the forest biometric characteristics. Wood stock estimation at the level of a...
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Governance of Smart Energy Systems
This chapter discusses the concept of governance for Smart Energy Systems. Energy systems belong to the category of critical infrastructure systems...
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Prediction and Analysis of Water Supply-Demand Balance in Binzhou City
Binzhou, Shandong is located in the hinterland of the lower Yellow River Delta with the typical sub-humid warm temperate monsoon climate. The average...
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Outdoorsportkonsum im Urlaub
Ziel dieses Beitrags war es, ein Verständnis der Multidimensionalität von touristischen Erlebnissen beim Konsum von Outdoorsport im Urlaub zu...
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Predicting the demographics of Twitter users with programmatic weak supervision
Predicting the demographics of Twitter users has become a problem with a large interest in computational social sciences. However, the limited amount...
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A novel technique for multiple failure modes classification based on deep forest algorithm
Deep learning is one of the emerging techniques that shows good failure modes classification prediction results due to its flexibility in recognizing...
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Forecasting product sales using text mining: a case study in new energy vehicle
This study aims to improve the prediction accuracy of product sales by develo** an online review-driven combination forecasting model. The proposed...
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Qualitative Study
According to Sowa (2014), qualitative research within the scientific community in the 2000s had difficulty finding recognition as a research method....