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Abualigah, Laith books & textbook

Classification Applications with Deep Learning and Machine Learning Technologies (Studies in Computational Intelligence, 1071)

Abualigah, Laith  

Springer /2022-11-17 Hardcover / 296 Pages
isbn-10: 3031175751 / isbn-13: 9783031175756
   

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Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications

Abualigah, Laith  

Morgan Kaufmann /2024-05-22 Paperback / 250 Pages
isbn-10: 0443139253 / isbn-13: 9780443139253
   

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Recent Advances in Structural Health Monitoring and Engineering Structures: Select Proceedings of SHM&ES 2023 (Lecture Notes in Civil Engineering, 460)

Cuong, Le Thanh  Gandomi, Amir H.  Abualigah, Laith  Khatir, Samir  

Springer /2024-06-02 Hardcover / 733 Pages
isbn-10: 9819703980 / isbn-13: 9789819703982
   

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Enhancing Information Retrieval System By using AGA

Abualigah, Laith  

Scholars' Press /2015-02-20 Paperback / 76 Pages
isbn-10: 363976241X / isbn-13: 9783639762419
   

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Big Data Analytics Using Artificial Intelligence

Gandomi, Amir H  Chen, Fang  Abualigah, Laith  

Mdpi AG /2023-09-22 Hardcover / 338 Pages
isbn-10: 3036587667 / isbn-13: 9783036587660
   

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Evolutionary Process for Engineering Optimization

Gandomi, Amir H  Abualigah, Laith  

Mdpi AG /2022-08-03 Hardcover / 286 Pages
isbn-10: 3036547711 / isbn-13: 9783036547718
   

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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (Studies in Computational Intelligence, 1038)

Houssein, Essam Halim  Abd Elaziz, Mohamed  Oliva, Diego  Abualigah, Laith  

Springer /2023-06-19 Paperback / 506 Pages
isbn-10: 3030990818 / isbn-13: 9783030990817
   

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Deep Learning Approaches for Spoken and Natural Language Processing (Signals and Communication Technology)

Kadyan, Virender  Singh, Amitoj  Mittal, Mohit  Abualigah, Laith  

Springer /2022-12-03 Paperback / 177 Pages
isbn-10: 3030797805 / isbn-13: 9783030797805
   

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Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering (Studies in Computational Intelligence, 816)

Abualigah, Laith Mohammad Qasim  

Springer /2019-01-03 Hardcover / 192 Pages
isbn-10: 303010673X / isbn-13: 9783030106737
   

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