نتائج البحث - "Bahaj, Mohamed"

1

Report

The Impact of Ontology on the Prediction of Cardiovascular Disease Compared to Machine Learning Algorithms

المؤلفون: Massari, Hakim El, Gherabi, Noreddine, Mhammedi, Sajida, Ghandi, Hamza, Bahaj, Mohamed, Naqvi, Muhammad Raza

المصدر: International journal of online and biomedical engineering, Volume 18, Issue 11, 2022, Pages 143 - 157

مصطلحات موضوعية: Computer Science - Machine Learning

URL الوصول: http://arxiv.org/abs/2405.20414

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2

Academic Journal

Balancing and metaheuristic techniques for improving machine learning models in brain stroke prediction

المؤلفون: Aouragh, Abd Allah, Bahaj, Mohamed, Toufik, Fouad

المصدر: IAES International Journal of Artificial Intelligence (IJ-AI); Vol 14, No 1: February 2025; 473-481 ; 2252-8938 ; 2089-4872 ; 10.11591/ijai.v14.i1

مصطلحات موضوعية: Brain stroke, Genetic algorithm, Hyperparameter optimization, KMeansSMOTE, Machine learning, Oversampling, Random forest

وصف الملف: application/pdf

Relation: https://ijai.iaescore.com/index.php/IJAI/article/view/25543/14411; https://ijai.iaescore.com/index.php/IJAI/article/view/25543

الاتاحة: https://ijai.iaescore.com/index.php/IJAI/article/view/25543
https://doi.org/10.11591/ijai.v14.i1.pp473-481

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3

Academic Journal

Advancing breast cancer prediction: machine learning, data balancing, and ant colony optimization

المؤلفون: Aouragh, Abd Allah, Bahaj, Mohamed, Toufik, Fouad

المصدر: Bulletin of Electrical Engineering and Informatics; Vol 13, No 6: December 2024; 4394-4402 ; 2302-9285 ; 2089-3191 ; 10.11591/eei.v13i6

مصطلحات موضوعية: Computer Sciences, Machine learning, Adaptive synthetic sampling, Ant colony optimization, Breast cancer, Synthetic minority over-sampling technique

وصف الملف: application/pdf

Relation: https://beei.org/index.php/EEI/article/view/8298/3989; https://beei.org/index.php/EEI/article/view/8298

الاتاحة: https://beei.org/index.php/EEI/article/view/8298
https://doi.org/10.11591/eei.v13i6.8298

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4

Academic Journal

Diabetes Prediction: Optimization of Machine Learning through Feature Selection and Dimensionality Reduction

المؤلفون: Aouragh, Abd Allah, Bahaj, Mohamed, Toufik, Fouad

المصدر: International Journal of Online and Biomedical Engineering (iJOE); Vol. 20 No. 08 (2024); pp. 100-114 ; 2626-8493

مصطلحات موضوعية: Diabetes, Machine Learning, Balancing, Feature Selection, Dimensionality Reduction, Grid Search

وصف الملف: application/pdf

Relation: http://online-journals.org/index.php/i-joe/article/view/47765/14971; http://online-journals.org/index.php/i-joe/article/view/47765

الاتاحة: http://online-journals.org/index.php/i-joe/article/view/47765

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5

Academic Journal

Enhancing hypertension prediction: a hybrid machine learning optimization approach.

المؤلفون: Aouragh, Abd Allah, Bahaj, Mohamed, Toufik, Fouad

المصدر: Indonesian Journal of Electrical Engineering & Computer Science; Jan2025, Vol. 37 Issue 1, p347-355, 9p

مصطلحات موضوعية: ANT algorithms, PARTICLE swarm optimization, FEATURE selection, SUPPORT vector machines, K-nearest neighbor classification

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6

Academic Journal

The Impact of Ontology on the Prediction of Cardiovascular Disease Compared to Machine Learning Algorithms

المؤلفون: El Massari, Hakim, Gherabi, Noreddine, Mhammedi, Sajida, Ghandi, Hamza, Bahaj, Mohamed, Raza Naqvi, Muhammad

المصدر: International Journal of Online and Biomedical Engineering (iJOE); Vol. 18 No. 11 (2022); pp. 143-157 ; 2626-8493

مصطلحات موضوعية: ontology, machine learning, SWRL, prediction, cardiovascular

وصف الملف: application/pdf

Relation: http://online-journals.org/index.php/i-joe/article/view/32647/11907; http://online-journals.org/index.php/i-joe/article/view/32647

الاتاحة: http://online-journals.org/index.php/i-joe/article/view/32647

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7

Academic Journal

Integration of ontology with machine learning to predict the presence of covid-19 based on symptoms

المؤلفون: El Massari, Hakim, Gherabi, Noreddine, Mhammedi, Sajida, Ghandi, Hamza, Qanouni, Fatima, Bahaj, Mohamed

المصدر: Bulletin of Electrical Engineering and Informatics; Vol 11, No 5: October 2022; 2805-2816 ; 2302-9285 ; 2089-3191 ; 10.11591/eei.v11i5

مصطلحات موضوعية: Computer Science, Covid-19, Machine learning, Ontology, Prediction, SWRL

وصف الملف: application/pdf

Relation: https://beei.org/index.php/EEI/article/view/4392/2927; https://beei.org/index.php/EEI/article/view/4392

الاتاحة: https://beei.org/index.php/EEI/article/view/4392
https://doi.org/10.11591/eei.v11i5.4392

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8

Report

Integration of ontology with machine learning to predict the presence of covid-19 based on symptoms

المؤلفون: Massari, Hakim El, Gherabi, Noreddine, Mhammedi, Sajida, Ghandi, Hamza, Qanouni, Fatima, Bahaj, Mohamed

مصطلحات موضوعية: Computer Science - Information Retrieval

URL الوصول: http://arxiv.org/abs/1205.5923

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9

Report

Discovering new technique for mapping relational database based on semantic web technology

المؤلفون: Gherabi, Noreddine, Addakiri, Khaoula, Bahaj, Mohamed

مصطلحات موضوعية: Computer Science - Databases

URL الوصول: http://arxiv.org/abs/1205.5922

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10

Book

Fraud Detection in Supply Chain 4.0: A Machine Learning Model

المؤلفون: Abouloifa, Houria, Bahaj, Mohamed

المصدر: International Conference on Advanced Intelligent Systems for Sustainable Development ; Lecture Notes in Networks and Systems ; page 200-206 ; ISSN 2367-3370 2367-3389 ; ISBN 9783031352447 9783031352454

الاتاحة: http://dx.doi.org/10.1007/978-3-031-35245-4_19
https://link.springer.com/content/pdf/10.1007/978-3-031-35245-4_19

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11

Book

Using Machine Learning Algorithms to Increase the Supplier Selection Process Efficiency in Supply Chain 4.0

المؤلفون: Abouloifa, Houria, Bahaj, Mohamed

المصدر: International Conference on Advanced Intelligent Systems for Sustainable Development ; Lecture Notes in Networks and Systems ; page 206-216 ; ISSN 2367-3370 2367-3389 ; ISBN 9783031263835 9783031263842

الاتاحة: http://dx.doi.org/10.1007/978-3-031-26384-2_19
https://link.springer.com/content/pdf/10.1007/978-3-031-26384-2_19

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12

Book

Framework for integrating healthcare big data using IoMT technology

المؤلفون: Khourdifi, Youness, Elalami, Alae, Bahaj, Mohamed, Zaydi, Mounia, Er-Remyly, Omar

المصدر: Computational Intelligence for Medical Internet of Things (MIoT) Applications ; page 191-210 ; ISBN 9780323994217

الاتاحة: http://dx.doi.org/10.1016/b978-0-323-99421-7.00012-x
https://api.elsevier.com/content/article/PII:B978032399421700012X?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:B978032399421700012X?httpAccept=text/plain

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13

Book

List of contributors

المؤلفون: Ali, Arshad, Ariza-Colpas, Paola, Bagić Babac, Marina, Bahaj, Mohamed, Bajit, Abderrahim, Bakoury, Zohra, Barodi, Anass, Beloualid, Siham, Bezić, Dominik, Bhowmik, Anirban, Butt, Shariq Aziz, Elalami, Alae, El Allali, Abdelhadi, Zahra El Arbaoui, Fatima Ez, El Kafhali, Said, El Mir, Iman, Er-Remyly, Omar, Feng, Xiaohua, Ghahremani-Nahr, Javid, Goel, Raman, Hari, Kaoutar El, Karforma, Sunil, Khalid, Abbas, Khourdifi, Youness, Kumar, Tejpal, Morino, Ilham, Moysidis, Dimitrios V., Mudgil, Anurag, Muheidat, Fadi, Najafi, Esmaeil, Negi, Anvit, Nozari, Hamed, Oussous, Salma Ait, Papazoglou, Andreas S., Rauniyar, Kritesh, Rayan, Rehab A., Saidi, Rajaa, A., Sajidha S., Shaheen, Qaisar, Shiraz, Muhammad, Singh, Krishan Pal, Srivastava, Sanskar, Tavakkoli-Moghaddam, Reza, Tawalbeh, Loai A., Thapa, Surendrabikram, Tomar, Shubham, Tsagkaris, Christos, Tyagi, Amit Kumar, Zafar, Imran, Zaydi, Hayat

المصدر: Computational Intelligence for Medical Internet of Things (MIoT) Applications ; page xv-xviii ; ISBN 9780323994217

الاتاحة: http://dx.doi.org/10.1016/b978-0-323-99421-7.01002-3
https://api.elsevier.com/content/article/PII:B9780323994217010023?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:B9780323994217010023?httpAccept=text/plain

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14

Academic Journal

UML/OCL based design and the transition towards temporal object relational database with bitemporal data

المؤلفون: Ain El Hayat, Soumiya, Toufik, Fouad, Bahaj, Mohamed

المصدر: Journal of King Saud University - Computer and Information Sciences ; volume 32, issue 4, page 398-407 ; ISSN 1319-1578

الاتاحة: http://dx.doi.org/10.1016/j.jksuci.2019.08.012
https://api.elsevier.com/content/article/PII:S1319157818311844?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S1319157818311844?httpAccept=text/plain

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15

Conference

Smart Emergency Alert System Using Internet of Things and Linked Open Data for Chronic Disease Patients

المؤلفون: Khallouki, Hajar, Bahaj, Mohamed, Roose, Philippe

المساهمون: Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour (LIUPPA), Université de Pau et des Pays de l'Adour (UPPA), algèbre, analyse et applications, Faculté des sciences (Fès)

المصدر: Advances in Intelligent Systems and Computing - Advanced Intelligent Systems for Sustainable Development ; https://univ-pau.hal.science/hal-02465085 ; Advances in Intelligent Systems and Computing - Advanced Intelligent Systems for Sustainable Development, 2018, Tanger, Morocco. ⟨10.1007/978-3-030-11884-6_17⟩

مصطلحات موضوعية: Chronic diseases, Ontology, Emergency alert, Real-time context, Sensing data, Linked Open Data, Devices, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], [INFO]Computer Science [cs]