Human detection methods are widely used in various fields such as autonomous vehicles, video surveillance, and rescue systems.To provide a more effective detection system, different types of sensor data (i.e.optics, thermal, and depth data) may be used together as hybrid information.Fortifying object detection, based on optical data and additional
With the wide use of web technologies, service-oriented architecture (SOA), and cloud computing, more and more geographical information systems are served as GIServices.Under such circumstance, quality of geographic information services (QoGIS) has emerged as an important research topic of geoinformatics.However, it is not easy to understand the fi
In this study, potential antifungal properties of a brown alga Fucus vesiculosus were evaluated.The algal extract was obtained with the use of supercritical fluid extraction (scCO2) at a temperature of 50 °C under a pressure of 300 bar.The aqueous solution of the extract at the concentration of 0.05%, 0.2%, 0.5% and 1.0% was studied against pa
Data imbalance is one of the major challenges in health insurance fraud detection where the distribution of classes within the dataset is significantly skewed, leading statistical models to be biased toward the dominant class.The algorithmic approaches to handling imbalance involve modification to the loss functions to sensitize them to the minor c
Notionally objective probabilistic risk models, built around ideas of cause and effect, are used to predict impacts and evaluate trade-offs.In this paper, we focus on the use of expert judgement to fill gaps left by insufficient data and understanding.Psychological and contextual phenomena such as anchoring, availability bias, confirmation bias and