Search Results for author: M-Tahar Kechadi

Found 10 papers, 1 papers with code

Structural Textile Pattern Recognition and Processing Based on Hypergraphs

no code implementations21 Mar 2021 Vuong M. Ngo, Sven Helmer, Nhien-An Le-Khac, M-Tahar Kechadi

For instance, digital archives for textiles offer keyword search, which is fairly well understood, and arrange their content following a certain taxonomy, but search functionality at the level of thread structure is still missing.

Clustering Retrieval

Crop Knowledge Discovery Based on Agricultural Big Data Integration

no code implementations11 Mar 2020 Vuong M. Ngo, M-Tahar Kechadi

Nowadays, the agricultural data can be generated through various sources, such as: Internet of Thing (IoT), sensors, satellites, weather stations, robots, farm equipment, agricultural laboratories, farmers, government agencies and agribusinesses.

Data Integration

Knowledge Map: Toward a New Approach Supporting the Knowledge Management in Distributed Data Mining

no code implementations23 Oct 2019 Nhien-An Le-Khac, Lamine M. Aouad, M-Tahar Kechadi

The integrating and cooperating of these two steps need an effective knowledge management, concretely an efficient map of knowledge in order to take the advantage of mined knowledge to guide mining the data.

Management

Recurrent neural network approach for cyclic job shop scheduling problem

no code implementations21 Oct 2019 M-Tahar Kechadi, Kok Seng Low, G. Goncalves

While cyclic scheduling is involved in numerous real-world applications, solving the derived problem is still of exponential complexity.

Efficient Neural Network Job Shop Scheduling +1

Hierarchical Aggregation Approach for Distributed clustering of spatial datasets

no code implementations1 Feb 2018 Malika Bendechache, Nhien-An Le-Khac, M-Tahar Kechadi

In this paper, we present a new approach of distributed clustering for spatial datasets, based on an innovative and efficient aggregation technique.

Clustering

Feature Selection Parallel Technique for Remotely Sensed Imagery Classification

no code implementations11 Apr 2017 Nhien-An Le-Khac, M-Tahar Kechadi, Bo Wu, C. Chen

Remote sensing research focusing on feature selection has long attracted the attention of the remote sensing community because feature selection is a prerequisite for image processing and various applications.

Classification feature selection +1

Efficient Large Scale Clustering based on Data Partitioning

no code implementations11 Apr 2017 Malika Bendechache, Nhien-An Le-Khac, M-Tahar Kechadi

However, their application to very large spatial datasets presents numerous challenges such as high-dimensionality data, heterogeneity, and high complexity of some algorithms.

Clustering

A Framework for Genetic Algorithms Based on Hadoop

no code implementations30 Nov 2013 Filomena Ferrucci, M-Tahar Kechadi, Pasquale Salza, Federica Sarro

The main purpose of this framework is to allow the user to focus on the aspects of GA that are specific to the problem to be addressed, being sure that this task is going to be correctly executed on the Cloud with a good performance.

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