Participatory sensing is a promising new low-cost approach for collecting environmental data. However, current large-scale environmental participatory sensing campaigns typically do not coordinate the measurements of participants, which can lead to gaps or redundancy in the collected data. While some work has considered this problem, it has made several unrealistic assumptions. In particular, i...

among abundant image denoising methods proposed so far, the use of patchbased algorithms have attracted a lot of attention from image processingcommunity. although these methods are very powerful in presentation of highquality results, the impact of human visual system (hvs) is ignored in sole of them.in this paper the human visual geometry is used in preparation of a new method forimage denois...

Abstract The assessment of the health impacts COVID-19 pandemic requires consideration mobility networks. To this aim, we propose to augment spatio-temporal point process models with network covariates. We show how resulting model can be employed predict contagion patterns and help in important decisions such as distribution vaccines. application proposed methodology 27 European countries shows...

Sociological studies on transnational migration are often based on surveys or interviews, an expensive and timeconsuming approach. On the other hand, the pervasiveness of mobile phones and location-aware social networks has introduced new ways to understand human mobility patterns at a national or global scale. In this work, we leverage geolocated information obtained from Twitter as to underst...

Background: Are dietary patterns, substantiated by biomarkers, associated with semen quality? Materials and Methods: In 161 men of subfertile couples undergoing in vitro fertilization treatment in a tertiary referral clinic in Rotterdam, the Netherlands, we assessed nutrient intakes and performed principal component factor analysis to identify dietary patterns. Total homocysteine (tHcy), folate...

Characterizing how people move through space has been an important component of many disciplines. With the advent of automated data collection through GPS and other location sensing systems, researchers have the opportunity to examine human mobility at spatio-temporal resolution heretofore impossible. However, the copious and complex data collected through these logging systems can be difficult...

Cities have a variety of issues that arise. Today's advancements in information and communication technology provide many benefits to human life, including urban management. This article discusses Smart City or City, as well one its aspects, Mobility Mobility. The research method used is literature review study journal articles, books, previous studies on this topic. According the study's findi...

Understanding human mobility patterns in urban areas is key to solving a wide range of socio-technical problems at the human-infrastructure interface. Extending intervening opportunities concept, we showcase data-driven, network-based model that reproduces aggregate cities. Using this model, create digital replication daily travel across different trip purposes 5 U.S. metropolitan and compare r...

Abstract Given the difficulties in predicting human behavior, one may wish to establish bounds on our ability accurately perform such predictions. In case of mobility-related there exists a fundamental technique estimate predictability an individual’s mobility, as expressed given dataset. Although useful several scenarios, this focused mobility monolithic entity, which poses challenges understa...

The mobility of entrepreneurs, which is an integral part of human life, can occur in all aspects of occupation and location. Finding out the general trends of mobility in entrepreneurship can be used in the effective motivational activities. As Sylhet is a remittance and raw materials rich but industrially backward area, the mobility of entrepreneurship in both aspects in this area is to be ana...