CUFinder

camelia dadouchi

About camelia dadouchi

camelia dadouchi, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at École Polytechnique de Montréal, specializes in the field of Analytique et prise de décision, apprentissage machine, génie industriel.

His recent articles reflect a diverse array of research interests and contributions to the field:

A decision support system for sequencing production in the manufacturing industry

Performances of a Seq2Seq-LSTM methodology to predict crop rotations in Québec

Methodology for multi-temporal prediction of crop rotations using recurrent neural networks

Forecasting models for Quebec's lumber demand and exports using multivariate regression technique

Technologies numériques et émotions: spectre d’analyse du comportement décisionnel des travailleurs

Fuel consumption prediction models for different types of bulk carriers based on historical voyages, meteorological data and vessel characteristics

Forecasting Future Product Sequences To Be Processed In Tire Production Using Deep Learning Technique

Context-Aware Interactive Knowledge-Based Recommendation

camelia dadouchi Information

University

Position

Mathématique et génie industriel

Citations(all)

73

Citations(since 2020)

72

Cited By

10

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

camelia dadouchi Skills & Research Interests

Analytique et prise de décision

apprentissage machine

génie industriel

Top articles of camelia dadouchi

A decision support system for sequencing production in the manufacturing industry

Computers & Industrial Engineering

2023/11/1

Bruno Agard
Bruno Agard

H-Index: 22

Performances of a Seq2Seq-LSTM methodology to predict crop rotations in Québec

Smart Agricultural Technology

2023/8/1

Bruno Agard
Bruno Agard

H-Index: 22

Methodology for multi-temporal prediction of crop rotations using recurrent neural networks

Smart Agricultural Technology

2023/8/1

Bruno Agard
Bruno Agard

H-Index: 22

Forecasting models for Quebec's lumber demand and exports using multivariate regression technique

The Forestry Chronicle

2023/3/8

Technologies numériques et émotions: spectre d’analyse du comportement décisionnel des travailleurs

2023

Camelia Dadouchi
Camelia Dadouchi

H-Index: 1

Bruno Agard
Bruno Agard

H-Index: 22

Fuel consumption prediction models for different types of bulk carriers based on historical voyages, meteorological data and vessel characteristics

2023

Mikael Rönnqvist
Mikael Rönnqvist

H-Index: 30

Trung Ngo
Trung Ngo

H-Index: 20

Forecasting Future Product Sequences To Be Processed In Tire Production Using Deep Learning Technique

Procedia Computer Science

2023/1/1

Bruno Agard
Bruno Agard

H-Index: 22

Robert Pellerin
Robert Pellerin

H-Index: 25

Context-Aware Interactive Knowledge-Based Recommendation

SN Computer Science

2022/9

Bruno Agard
Bruno Agard

H-Index: 22

Benoit Montreuil
Benoit Montreuil

H-Index: 24

Predicting crop rotations using process mining techniques and Markov principals

Computers and Electronics in Agriculture

2022/3/1

Bruno Agard
Bruno Agard

H-Index: 22

Using artificial intelligence to predict crop rotation for sustainable agriculture

2022

Bruno Agard
Bruno Agard

H-Index: 22

Tacit knowledge in production sequencing: a Seq2Seq-LSTM approach

IFAC-PapersOnLine

2022/1/1

Bruno Agard
Bruno Agard

H-Index: 22

Recommender systems as an agility enabler in supply chain management

2021/6

Bruno Agard
Bruno Agard

H-Index: 22

Considering quasi-real time delivery information in product recommendation

2020

Bruno Agard
Bruno Agard

H-Index: 22

See List of Professors in camelia dadouchi University(École Polytechnique de Montréal)