cityseer-api is a Python package consisting of computational tools for fine-grained street-network and land-use analysis, helpful in assessing the morphological precursors to vibrant neighbourhoods. It underpinned by network-based methods developed specifically urban analysis at pedestrian scale. computes variety node segment-based network centrality methods, accessibility mixed-use measures, s...

Wireless sensor networks (WSNs) consist of sensor nodes. These networks have huge application in habitat monitoring, disaster management, security and military, etc. Wireless sensor nodes are very small in size and have limited processing capability very low battery power. This restriction of low battery power makes the sensor network prone to failure. Data aggregation is very crucial technique...

In this paper, we propose new methods to represent interdependence among alternative attributes and experts’ opinions by constructing Choquet integral using interval-valued intuitionistic fuzzy numbers. In the sequel, we apply these methods to solve the multiple attribute group decision-making (MAGDM) problems under interval-valued intuitionistic fuzzy environment. First, the concept of interva...

The purpose of this study is to propose a model that predicts the social and psychological factors that affect the individual’s collaborative learning outcome in group projects. The model is established on the basis of two theories; the multilevel analysis and the cooperative game theory (CGT). In CGT, a group of players form a coalition and a set of payoffs for each member in the coalition. Sh...

frying oils showed an increase in peroxide value (pv) at the initial stages of the frying process followed by a decrease, and there was no correlation between pv and total polar compounds (tpc) in the same set of frying oils. all the frying oils had pvs lower than 4.42 meq o2 kg-1 oil during the frying process and, consequently, none of them was above the limit of 10 meq o2 kg-1 oil for edible ...

Kidney abnormality is one of the major concerns in modern society, and it affects millions people around world. To diagnose different abnormalities human kidneys, a narrow-beam x-ray imaging procedure, computed tomography, used, which creates cross-sectional slices kidneys. Several deep-learning models have been successfully applied to computer tomography images for classification segmentation ...