Results 131 to 140 of about 110,166 (345)

Terrain Classification for Planetary Rovers Using Wireless In‐Wheel Sensor Modules and Machine Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan, Sultan Shaharea, Manseeb M. Mannaf, Shihab Ahemed, Fahim Islam Anik, Md Jarir Hossain, Helal An Nahiyan, Sourav Karmaker   +7 more
wiley   +1 more source

Poverty, Income Distribution and Social Development in Lahore [PDF]

In this paper we present a comparative analysis of poverty and income inequality prevalent in the seven towns of Lahore. Further, an analysis of gender inequality and overall social development is presented by considering education, health, and labor ...
Hyder, Kalim, Sikander, Muhammad Usman
core   +1 more source

The Gini index of speech [PDF]

, 2004
In which representation is speech most sparse? Time-scale? Time-frequency? Which window generator and length should be used to create the sparsest decomposition? To answer these questions, we propose the Gini index, which is twice the area between the Lorenz curve and the 45 degree line, as a measure of signal sparsity.
Rickard, Scott, Fallon, Maurice
openaire  

A Convenient Method of Decomposing the Gini Index by Population Subgroups [PDF]

, 2014
Tomson Ogwang
openalex   +1 more source

The Gini index of demand imbalances in public transport [PDF]

, 2020
Dániel Hörcher, Daniel J. Graham
openalex   +1 more source

Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network

Remote Sensing in Ecology and Conservation, EarlyView.
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard, Birgit Heim, Ulrike Herzschuh, Viktor Dinkel, Glenn Juday, Santosh Panda, Nicola Falco, Jacob Schladebach, Jakob Broers, Stefan Kruse   +9 more
wiley   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source

From Gini index as a Lyapunov functional to convergence in Wasserstein distance [PDF]

Fei Cao
openalex   +3 more sources

Measurement and explanation of socioeconomic inequality in health with longitudinal data [PDF]

This paper presents a method for the measurement of changes in health inequality and income-related health inequality over time in a population. For pure health inequality (as measured by the Gini coefficient) and income-related health inequality (as ...
Andrew M. Jones, Ángel López
core  

Advancement of European Union Countries in Sustainable Development Goal 7

Sustainable Development, EarlyView.
ABSTRACT The United Nations 2030 Agenda identifies 17 Sustainable Development Goals, along with Goal 7 on ‘ensuring access to affordable, reliable, sustainable and modern energy for all’. Achieving it is a major challenge for countries, including the European Union member states.
Mariola Grzebyk, Barbara Fura, Małgorzata Stec, Alina Szewc‐Rogalska   +3 more
wiley   +1 more source