Mining chemical reactions using neighborhood behavior and condensed graphs of reactions approaches

A de Luca, D Horvath, G Marcou… - Journal of chemical …, 2012 - ACS Publications
This work addresses the problem of similarity search and classification of chemical reactions
using Neighborhood Behavior (NB) and Condensed Graphs of Reaction (CGR) approaches …

Using machine learning to understand the implications of meteorological conditions for fish kills

YJ Chen, E Nicholson, ST Cheng - Scientific Reports, 2020 - nature.com
Fish kills, often caused by low levels of dissolved oxygen (DO), involve with complex
interactions and dynamics in the environment. In many places the precise cause of massive …

Redefining floristic zones in the Korean Peninsula using high‐resolution georeferenced specimen data and self‐organizing maps

S Jung, Y Cho - Ecology and Evolution, 2020 - Wiley Online Library
The use of biota to analyze the distribution pattern of biogeographic regions is essential to
gain a better understanding of the ecological processes that cause biotic differentiation and …

Vascular plant distribution in the Korean demilitarized zone and its surrounding areas

J Chung, YM Choi, JH Song, KR Byun, SB Gwak… - Journal of Asia-Pacific …, 2024 - Elsevier
Previous studies examining the flora in the Korean Demilitarized Zone and its surroundings
focused only on specific locations or ways to utilize these areas. We investigated vascular …

[HTML][HTML] Group analysis of self-organizing maps based on functional MRI using restricted Frechet means

AP Fournel, E Reynaud, MJ Brammer, A Simmons… - NeuroImage, 2013 - Elsevier
Studies of functional MRI data are increasingly concerned with the estimation of differences
in spatio-temporal networks across groups of subjects or experimental conditions …

Comparison of self organizing maps clustering with supervised classification for air pollution data sets

I Bougoudis, L Iliadis, S Spartalis - … and Innovations: 10th IFIP WG 12.5 …, 2014 - Springer
Air pollution is a serious problem of modern urban centers. The objective of this research is
to investigate the problem by using Machine Learning techniques. It comprises of two parts …

Applications of clustering algorithms and self organizing maps as data mining and business intelligence tools on real world data sets

L Singh, S Singh, PK Dubey - 2010 International Conference …, 2010 - ieeexplore.ieee.org
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in
data mining. The k-means algorithm is best suited for implementing this operation because …

[PDF][PDF] Vascular plant distribution in the Korean demilitarized zone and its surrounding areas

HY Gil, JW Lee, JH Kim, KS Chang - 2023 - researchgate.net
abstract Previous studies examining the flora in the Korean Demilitarized Zone and its
surroundings focused only on specific locations or ways to utilize these areas. We …

The Analysis of Crowd Dynamics: From Observations to Modelling

B Zhan, P Remagnino, DN Monekosso… - … , Fusion and Emergence, 2009 - Springer
Crowd is a familiar phenomenon studied in a variety of research disciplines including
sociology, civil engineering and physics. Over the last two decades computer vision has …

[图书][B] Advances in Visual Computing: 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008, Proceedings, Part I

R Boyle, B Parvin, D Koracin, F Porikli, J Peters… - 2008 - books.google.com
It is with greatpleasure that we present the proceedings of the 4th International Symposium
on Visual Computing (ISVC 2008) in Las Vegas, Nevada. ISVC o? ers a common umbrella …