Search Results for author: Nhien-An Le-Khac

Found 20 papers, 0 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.

OAK: Ontology-Based Knowledge Map Model for Digital Agriculture

no code implementations20 Nov 2020 Quoc Hung Ngo, Tahar Kechadi, Nhien-An Le-Khac

This knowledge and know-how information are collected from various sources, hence the question is how to organise this knowledge so that it can be efficiently exploited.

Predicting Soil pH by Using Nearest Fields

no code implementations3 Dec 2019 Quoc Hung Ngo, Nhien-An Le-Khac, Tahar Kechadi

In precision agriculture (PA), soil sampling and testing operation is prior to planting any new crop.

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.

Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning

no code implementations2 Jul 2019 Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon

Achieving high performance for facial age estimation with subjects in the borderline between adulthood and non-adulthood has always been a challenge.

Age Estimation Ensemble Learning

Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection

no code implementations16 May 2019 Aditya Kuppa, Slawomir Grzonkowski, Muhammad Rizwan Asghar, Nhien-An Le-Khac

Our approach is to build a neural network model utilizing Adversarial Autoencoder (AAE-$\alpha$) in order to detect the activity of an attacker who leverages off-the-shelf tools and system applications.

Group Anomaly Detection Sentence Embedding +1

A Survey of Electromagnetic Side-Channel Attacks and Discussion on their Case-Progressing Potential for Digital Forensics

no code implementations18 Mar 2019 Asanka Sayakkara, Nhien-An Le-Khac, Mark Scanlon

EM side-channel analysis is a technique where unintentional electromagnetic emissions are used for eavesdropping on the operations and data handling of computing devices.

Cryptography and Security General Literature

Performance study of distributed Apriori-like frequent itemsets mining

no code implementations21 Feb 2019 Lamine M. Aouad, Nhien-An Le-Khac, Tahar M. Kechadi

In this article, we focus on distributed Apriori-based frequent itemsets mining.

Digital forensic investigation of two-way radio communication equipment and services

no code implementations22 Jul 2018 Arie Kouwen, Mark Scanlon, Kim-Kwang Raymond Choo, Nhien-An Le-Khac

To date, there is little research on the digital traces in modern radio communication equipment.

Cryptography and Security Computers and Society

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.

One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks

no code implementations31 Jan 2018 Nga Nguyen Thi, Van Loi Cao, Nhien-An Le-Khac

Instead of considering each time-step separately, the observation of prediction errors from a certain number of time-steps is now proposed as a new idea for detecting collective anomalies.

Anomaly Detection Intrusion Detection +1

Toward a new approach for massive LiDAR data processing

no code implementations11 Apr 2017 V-H Cao, K-X Chu, Nhien-An Le-Khac, M-T. Kechadi, Debra F. Laefer, Linh Truong-Hong

In this paper, we present a comparative study of software libraries and algorithms to optimise the processing of LiDAR data.

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.

Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets

no code implementations11 Apr 2017 Van Loi Cao, Nhien-An Le-Khac, Miguel Nicolau, Michael ONeill, James McDermott

We examine two fitness functions from previous studies and develop two new fitness functions to evolve GP classifier with superior accuracy on the minority class and overall.

Fraud Detection General Classification

An Integrated Classification Model for Financial Data Mining

no code implementations9 Sep 2016 Fan Cai, Nhien-An Le-Khac, M-T. Kechadi

Nowadays, financial data analysis is becoming increasingly important in the business market.

Classification General Classification

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