Modélisation d'une assistance décisionnelle basée sur l'intelligence artificielle pour les systèmes cyber-physiques: Application à la maintenance dans le domaine du …
I Mallouk - 2023 - theses.hal.science
Les systèmes cyber-physiques (SCP) sont des systèmes complexes et interconnectés, où
les technologies numériques convergent avec le monde physique, ayant révolutionné de …
les technologies numériques convergent avec le monde physique, ayant révolutionné de …
Clustering of mobile subscriber's location statistics for travel demand zones diversity
Current knowledge on travel demand is necessary to keep a travel demand model up to
date. However, the data gathering is a laborious and costly task. One of the approaches to …
date. However, the data gathering is a laborious and costly task. One of the approaches to …
Mapping the porosity of international border to pedestrian traffic: a comparative data classification approach to a study of the border region in Austria, Italy, and …
N Hisakawa, P Jankowski, G Paulus - Cartography and Geographic …, 2013 - Taylor & Francis
National borders play an important role in everyday life. Interest in border studies has
increased with recent changes in geographical locations of the border or the fluctuation of …
increased with recent changes in geographical locations of the border or the fluctuation of …
Wavelet based texture classification with evolutionary clustering networks
BS Rani, S Renganathan - TENCON 2003. Conference on …, 2003 - ieeexplore.ieee.org
This paper deals with the development of an unsupervised pattern classification technique
that exploits the searching capability of genetic algorithms for automatic clustering of a given …
that exploits the searching capability of genetic algorithms for automatic clustering of a given …
지역적민감도분석을이용하여계절성을고려한수문모형보정기법개발
이예린， 유재웅， 김경탁， 권현한 - KSCE Journal of Civil and …, 2023 - dbpia.co.kr
일반적으로 강우-유출모형의 매개변수 최적화는 가용 자료 전체를 대상으로 수행하여 고유의
매개변수 집합을 활용한다. 그러나, 계절에 따른 강수량의 편차가 큰 국내의 기후 특성과 더불어 …
매개변수 집합을 활용한다. 그러나, 계절에 따른 강수량의 편차가 큰 국내의 기후 특성과 더불어 …
Cluster assisted 3D and 2D unsupervised seismic facies analysis, an example from the Barnett Shale Formation in the Fort Worth Basin, Texas.
A Roy, KJ Marfurt - SEG International Exposition and Annual Meeting, 2011 - onepetro.org
The most popular seismic attributes fall into broad categories—those that are sensitive to
lateral changes in waveform and structure, such as coherence and curvature, and those that …
lateral changes in waveform and structure, such as coherence and curvature, and those that …
Educational Data Mining: Examination of Science Instruction Methods and Science Literacy within the Scope of Self-Organizing Maps.
MT Eser, D Çobanoglu Aktan - International Journal of Curriculum and …, 2021 - ERIC
By applying educational data mining methods to big data related to large-scale exams,
functional relationships are discovered in a basic sense and hidden pattern (s) can be …
functional relationships are discovered in a basic sense and hidden pattern (s) can be …
Yeni bir müşteri kayıp yönetimi modeli: Perakende sektörü uygulaması= A new customer churn management model: Retail sector application
ÖF Seymen - 2022 - acikerisim.sakarya.edu.tr
Pazarlama alanında artan rekabetin getirdiği en büyük sorunlardan biri müşteri portföyünde
yaşanan kayıplar ve bu müşterilerin rakiplere yönelmesidir. Bu sebeple perakende …
yaşanan kayıplar ve bu müşterilerin rakiplere yönelmesidir. Bu sebeple perakende …
Development of statistical software SAMMIF for sensitivity analysis in multivariate methods
Y Mori, S Watadani, T Tarumi, Y Tanaka - COMPSTAT: Proceedings in …, 1998 - Springer
Statistical software SAMMIF is being developed for sensitivity analysis in multivariate
methods where influence functions or their analogues are available. It can be used for …
methods where influence functions or their analogues are available. It can be used for …
On the uses and costs of rule-based classification
K Gibert - … in Computational Statistics 12th Symposium held in …, 1996 - Springer
Classification in ill-structured domains is well known as a hard problem for the actual
statistical and artificial intelligence techniques. Rule-based clustering is a new approach that …
statistical and artificial intelligence techniques. Rule-based clustering is a new approach that …