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89 results for “Ensemble”

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Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Analytics for Imbalanced DatasetMadhura Prabha R, Sasikala SThe primary issue in real-time big data classification is imbalanced datasets. Even though we have many balancing techniques to reduce imbalance ratio which is not suitable for big data that has scalability issues. This study is envisioned to explore different balancing techniques with experimental study. We tried comparing the effectiveness of various balancing strategies, including cutting-edge approaches for severely unbalanced … …Journal of Computer Science, Vol. 20, Issue 2 · 11 Jan 2024 · 5,473 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe ‘Celalettin-Field Quantum Observation Tunnel’ a Quantum Communication Countermeasure Speculative StructureM. Celalettin, H. KingThe ‘Celalettin-Field Quantum Observation Tunnel’ (COT) is a speculative structure produced in an ensemble of Orbital Angular Momentum (OAM) polarized outer ‘s’ shell electrons, whereby an incoming photon, depolarizes ‘s’ shell electrons as it burrows through the ensemble, creating a tunnel. The depolarized particles when viewed as a single quantum system can theoretically be used to acquire information on the … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 1 · 6 Apr 2019 · 7,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Synthetic Oversampling Algorithm for Handling Class Imbalance in Multi-Class Data Stream ClassificationPriya S., Annie UthraConcept drift and class imbalanced data are major challenging processes involved in modern streaming data classification. Particularly, when integrated with difficult factors like the existence of noise, overlapping class distribution, concept drift, and data imbalance can considerably affect the classifier results. In addition, various challenges affect the performance of the existing oversampling schemes such as SMOTE and its derivatives. Regardless … …Journal of Computer Science, Vol. 18, Issue 7 · 26 Jul 2022 · 5,809 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassify Breast Cancer Patients using Hybrid Data-Mining TechniquesFaris E. Mohammed, Nadia Smaoui Zghal, Dalinda Ben Aissa, Mostafa Mahmoud El-GayarAccording to the World Health Organization (WHO), breast cancer is a disease that leads to death, especially for women who have neglected or ignored the risk factors. Doctors can classify patients according to clinical information, famous disease symptoms, or similar cases. But, some cases are difficult to detect early or diagnose accurately. Therefore, the most important challenge faced by researchers … …Journal of Computer Science, Vol. 18, Issue 4 · 12 May 2022 · 6,526 accessesView PDFCite
Research ArticleOpen accessIn the abstractSurvival and Change of Mahoree Tradition in Cambodian SocietyPittayawat Pantasri, Jarernchai Chonpairot, Boonsom YodmaleeProblem statement: Mahoree, is an important music ensemble in Cambodia since the Angkorean period. Mahoree formerly belonged to the court or noble Cambodian families. Mahoree is very popular and practiced by ordinary people and plays an important role in Cambodian society. Mahoree is a culture of the community and the Cambodian society and can be preserved and promoted by community … …Journal of Social Sciences, Vol. 8, Issue 2 · 13 Mar 2012 · 8,662 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Music Auto-Tagging with Convolutional Neural NetworksShaleen Bengani, S. Vadivel, J. Angel Arul JothiTechnology is revolutionizing the way in which music is distributed and consumed. As a result, millions of songs are instantly available to millions of people, on the Internet. This has created the need for novel music search and discovery services. Music is often searched using descriptive keywords, or tags, based on the content of the song. Hence, one very important … …Journal of Computer Science, Vol. 15, Issue 8 · 27 Aug 2019 · 7,841 accessesView PDFCite
Literature ReviewOpen accessIn the abstractA Short Communication: ‘Hasret’s Theory’; Quantum Observation Caused by the Filling of a Helium-3 Electron Hole in an INVIZICLOUD© via a ‘Celalettin-Field Quantum Observation Tunnel’Metin Celalettin, Horace KingIn anti-ferromagnetism, the magnetic moments of particles related to electron spin; a regular pattern, the remaining particles in the ensemble are like ferromagnetism; a manifestation of ordered magnetism. The attraction between a magnet and a ferromagnetic the quality of magnetism first apparent to the formation of the Earth 4 Billion years ago until today. Generally, antiferromagnetic order is directly proportional … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 3 · 29 Jul 2019 · 8,238 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Wide Scale Classification of Class Imbalance Problem and its Solutions: A Systematic Literature ReviewGillala Rekha, Amit Kumar Tyagi, V. Krishna ReddyIn today’s world, most of the data (real world) is present in imbalanced form by nature. This is because of not having efficient algorithms to put this data (i.e., generated data by billion of internet- connected devices (IoTs)) in respective format. Imbalanced data poses a great challenge to (both) data mining and machine learning algorithms. The imbalanced dataset consists of … …Journal of Computer Science, Vol. 15, Issue 7 · 3 Jul 2019 · 9,372 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting-BoW Algorithm for Finding Kidney Diseases from Medical Test ReportsWisam A. Qader, Abbas M. AliThis paper introduces an approach to increase the accuracy rate of classification by employing Bag-of-Words (BoW) as a feature selection method along with machine learning algorithms to obtain a more accurate output. Because of its capability in quickly processing large sets of data and getting accurate results, this approach can be used in medical areas. Different ensemble approaches are generated … …Journal of Computer Science, Vol. 15, Issue 4 · 26 Apr 2019 · 7,497 accessesView PDFCite