Personal information

Machine Learning, Deep Learning, WSNs, Fuzzy System
Morocco

Biography

ABDELLATIF HAIR currently works as a Full Professor with the Computer Department of FST of Beni Mellal (Morocco), and a member of LAMSC Laboratory. His research interests include object-oriented analysis/design, security of mobile agents, wireless sensor network (WSN), data warehousing, and machine learning (ML), big data, data mining, sentiment analysis, deep learning, fuzzy system.

Activities

Employment (1)

Université Sultan Moulay Slimane de Beni-Mellal: Beni-Mellal, MA

Full Professor (Computer Science)
Employment
Source: Self-asserted source
ABDELLATIF HAIR

Works (17)

Emotion Processing by Applying a Fuzzy-Based Vader Lexicon and a Parallel Deep Belief Network Over Massive Data

IEEE Access
2022 | Journal article
Contributors: Fatima Es-Sabery; Ibrahim Es-Sabery; Abdellatif Hair; Beatriz Sainz-De-Abajo; Begonya Garcia-Zapirain
Source: check_circle
Crossref

Optimization Focused on Parallel Fuzzy Deep Belief Neural Network for Opinion Mining

2022 | Book chapter
Contributors: Fatima Es-sabery; Khadija Es-sabery; Bouchra El Akraoui; Abdellatif Hair
Source: check_circle
Crossref

A MapReduce Improved ID3 Decision Tree for Classifying Twitter Data

2021 | Book chapter
Contributors: Fatima Es-sabery; Khadija Es-sabery; Abdellatif Hair
Source: check_circle
Crossref

A MapReduce Opinion Mining for COVID-19-Related Tweets Classification Using Enhanced ID3 Decision Tree Classifier

IEEE Access
2021 | Journal article
Contributors: Fatima Es-Sabery; Khadija Es-Sabery; Junaid Qadir; Beatriz Sainz-De-Abajo; Abdellatif Hair; Begona Garcia-Zapirain; Isabel De La Torre-Diez
Source: check_circle
Crossref

An enhanced energy-efficient hierarchical leach protocol to extend the lifespan for wireless sensor networks

Advances in Science, Technology and Innovation
2021 | Book chapter
EID:

2-s2.0-85101091485

Part of ISSN: 25228722 25228714
Contributors: Es-sabery, F.; Hair, A.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

Sentence-Level Classification Using Parallel Fuzzy Deep Learning Classifier

IEEE Access
2021 | Journal article
EID:

2-s2.0-85100468874

Part of ISSN: 21693536
Contributors: Es-sabery, F.; Hair, A.; Qadir, J.; Sainz-de-Abajo, B.; Garcia-Zapirain, B.; De La Torre-Diez, I.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

A MapReduce C4.5 Decision Tree Algorithm Based on Fuzzy Rule-Based System

Fuzzy Information and Engineering
2020 | Journal article
EID:

2-s2.0-85087368253

Part of ISSN: 16168666 16168658
Contributors: Es-sabery, F.; Hair, A.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

Big Data Solutions Proposed for Cluster Computing Systems Challenges: A survey

ACM International Conference Proceeding Series
2020 | Conference paper
EID:

2-s2.0-85085929926

Contributors: Es-Sabery, F.; Hair, A.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

Evaluation and Comparative Study of the Both Algorithm LEACH and PEGASIS Based on Energy Consumption

ACM International Conference Proceeding Series
2020 | Conference paper
EID:

2-s2.0-85085937349

Contributors: Es-Sabery, F.; Hair, A.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

An Improved ID3 Classification Algorithm Based on Correlation Function and Weighted Attribute

Proceedings - 2019 International Conference on Intelligent Systems and Advanced Computing Sciences, ISACS 2019
2019 | Conference paper
EID:

2-s2.0-85084278134

Contributors: Es-Sabery, F.; Hair, A.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

Improved multi-objective weighted clustering algorithm in Wireless Sensor Network

Egyptian Informatics Journal
2017 | Journal article
EID:

2-s2.0-84995460706

Part of ISSN: 11108665
Contributors: Ouchitachen, H.; Hair, A.; Idrissi, N.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

Minimizing energy consumption in mission-specific mobile sensor networks by placing sensors and base station in the best locations: Genetic algorithms approach

International Conference on Wireless Networks and Mobile Communications, WINCOM 2015
2016 | Conference paper
EID:

2-s2.0-84965020667

Contributors: Ouchitachen, H.; Hair, A.; Idrissi, N.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

Towards a new combination and communication approach of software components

International Journal of Decision Support System Technology
2016 | Journal article
EID:

2-s2.0-84987837692

Part of ISSN: 1941630X 19416296
Contributors: Rehioui, F.; Hair, A.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

Joint mission and communication aware node placement problem in mission-specific mobile sensor networks

WCCCS 2014 - Proceedings; 2014 5th Workshop on Codes, Cryptography and Communication Systems
2014 | Conference paper
EID:

2-s2.0-84949928923

Contributors: Ouchitachen, H.; Hair, A.; Idrissi, N.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

Components-based software architecture for secure mobile agents via two strategies of adaptation

2013 8th International Conference on Intelligent Systems: Theories and Applications, SITA 2013
2013 | Conference paper
EID:

2-s2.0-84883099980

Contributors: Razouki, H.; Hair, A.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

View implementation pattern for viewpoint-oriented development: Towards a comprehensive approach

WMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.
2006 | Conference paper
EID:

2-s2.0-84867253825

Contributors: Hair, A.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier

U_Vboom: Unified analysis and design process based on the viewpoint concept

ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
2004 | Conference paper
EID:

2-s2.0-8444231255

Contributors: Hair, A.
Source: Self-asserted source
ABDELLATIF HAIR via Scopus - Elsevier