Results 31 to 40 of about 609,440 (119)

The Interpreting Ability on Science Kinematics Graphs of Senior High School Students in South Sulawesi, Indonesia

open access: yesJurnal Pendidikan IPA Indonesia, 2020
This research was a descriptive case study. The purpose of this research was to describe the student’s ability to interpret the kinematics graph. The subjects of the study were 347 students of class XI science in the even semester of 2018/2019 in Luwu ...
B. D. Amin   +5 more
doaj   +1 more source

La enseñanza de los gráficos estadísticos: reseña de un libro de texto interactivo para tercer año de la educación costarricense (The teaching of statistical graphs: review of an interactive textbook for third grade in Costa Rican education)

open access: yesRevista Digital Matemática, Educación e Internet
Este artículo presenta un libro interactivo de estadística destinado al tercer año de primaria, dirigido a niños y niñas de entre 8 y 9 años aproximadamente.
Carlos Monge Madriz   +3 more
doaj   +1 more source

Solving the Large-Scale TSP Problem in 1 h: Santa Claus Challenge 2020

open access: yesFrontiers in Robotics and AI, 2021
The scalability of traveling salesperson problem (TSP) algorithms for handling large-scale problem instances has been an open problem for a long time. We arranged a so-called Santa Claus challenge and invited people to submit their algorithms to solve a ...
Radu Mariescu-Istodor, Pasi Fränti
doaj   +1 more source

Binary Numeration System with Alternating Signed Digits and Its Graph Theoretical Relationship

open access: yesAlgorithms
The binary number system is the basic number representation in computing. We can encode natural numbers with finite 0-1 sequences. The representation of natural numbers is based on this system. However, this poses problems and is technically not perfect.
Péter Hajnal
doaj   +1 more source

Temporal Graph Traversals Using Reinforcement Learning With Proximal Policy Optimization

open access: yesIEEE Access, 2020
Graphs in real-world applications are dynamic both in terms of structures and inputs. Information discovery in such networks, which present dense and deeply connected patterns locally and sparsity globally can be time consuming and computationally costly.
Samuel Henrique Silva   +2 more
doaj   +1 more source

SpaGraphCCI: Spatial cell–cell communication inference through GAT‐based co‐convolutional feature integration

open access: yesIET Systems Biology
Spatially resolved transcriptomics technologies potentially provide the extra spatial position information and tissue image to better infer spatial cell–cell interactions (CCIs) in processes such as tissue homeostasis, development, and disease ...
Han Zhang   +9 more
doaj   +1 more source

Decision Support for Optimal Repositioning of Containers in a Feeder System

open access: yesPromet (Zagreb), 2008
The transport of empty containers represents a seriousproblem in the fast growing sphere of maritime container transport.The most widespread type of container transport organizationin maritime transport is the hub and spoke mode, whichenables the ...
Danijela Tuljak-Suban, Elen Twrdy
doaj   +1 more source

Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI

open access: yesFrontiers in Human Neuroscience, 2014
Network studies of large-scale brain connectivity have demonstrated that highly connected areas, or ‘hubs’, are a key feature of human functional and structural brain organization.
Alexander eSchaefer   +10 more
doaj   +1 more source

ASA-graphs for efficient data representation and processing

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2020
Fast discovering of various relationships in data is an important feature of modern data mining, cognitive, knowledge-based, and explainable AI systems, including deep neural networks.
Horzyk Adrian   +2 more
doaj   +1 more source

Random Number Simulations Reveal How Random Noise Affects the Measurements and Graphical Portrayals of Self-Assessed Competency

open access: yesNumeracy, 2016
Self-assessment measures of competency are blends of an authentic self-assessment signal that researchers seek to measure and random disorder or "noise" that accompanies that signal.
Edward Nuhfer   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy