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Different hybrid machine intelligence techniques for handling IoT‐based imbalanced data

Gaurav Mohindru, Koushik Mondal, Haider Banka • CAAI Transactions on Intelligence Technology (2021)

Abstract In the era of automatic task processing or designing complex algorithms, to analyse data, it is always pertinent to find real‐life solutions using cutting‐edge tools and techniques to generate insights into the data. The data‐drive...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.12032

ROLE DES RELATIONS PUBLIQUES DANS LA PERCEPTION DE L’IMAGE D’UNE ENTREPRISE : Cas de la DGDA

KUBOLA NGOMA Séraphine • Ziglôbitha (2026)

Résumé :  Les relations publiques constituent un outil stratégique de communication permettant aux organisations de construire, maintenir et améliorer leur image auprès de leurs différents publics. Les résultats de cette réflexion montrent ...

DOAJ Open Access (DOAJ) DOI: 10.60632/ziglobitha.n018.23.vol.5.2026

A Review of Natural Language Processing in Medical Education

Michael A. Chary, Saumil Parikh, Alex F. Manini, Edward W. Boyer et al. • Western Journal of Emergency Medicine (2018)

Natural language processing (NLP) aims to program machines to interpret human language as humans do. It could quantify aspects of medical education that were previously amenable only to qualitative methods. The application of NLP to medical...

OPENALEX cc-by DOI: https://doi.org/10.5811/westjem.2018.11.39725 PMC: 6324711

Natural Language Processing

Julia Hirschberg, Bruce W. Ballard, Donald M. Hindle • AT&T Technical Journal (1988)

Researchers in natural language processing (NLP) apply computational techniques to the understanding and generation of human language. Currently, we are focusing on the development of grammatical formalisms and parsing algorithms, appropria...

OPENALEX DOI: https://doi.org/10.1002/j.1538-7305.1988.tb00232.x

Ensembles machine learning for short duration rainfall intensity forecasting

Susilowati, Aprizal, Dyah Indriana Kusumastuti • Discover Artificial Intelligence (2026)

Abstract This study introduces an ensemble machine learning (EML) framework to enhance short-duration rainfall-intensity prediction under limited-data conditions. By integrating multiple base learners within a stacking architecture, the pro...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01772-5

A fault location method for secondary virtual circuits in smart substations based on the integration of GAE and GCN

Yuxi Wang, Yue Wang, Sha Han • Discover Artificial Intelligence (2026)

Abstract The secondary virtual circuits in smart substations enable digital and networked information exchange between devices. However, their extensive logical connections, complex structure, and implicit interdependencies pose significant...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-02248-2

Analyse bibliométrique des mémoires défendus au Département des Sciences et Techniques Documentaires (2014 à 2018)

Jean Blanchard MAYI YUL • Ziglôbitha (2024)

Résumé : Analyser les travaux scientifiques est une tache aussi ardue que difficile qui demande beaucoup de munitie. Cet article fait une analyse bibliométrique des mémoires de licence (Bac+5) défendus au sein du Département des Sciences et...

DOAJ Open Access (DOAJ) DOI: 10.60632/ziglobitha.n011.12.vol.2.2024

Recent Advances in Natural Language Processing

• Amsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory (2000)

This volume brings together revised versions of a selection of papers presented at the Second International Conference on “Recent Advances in Natural Language Processing” (RANLP’97) held in Tzigov Chark, Bulgaria, September 1997. The aim of...

OPENALEX DOI: https://doi.org/10.1075/cilt.189

Connectionist Approaches to Natural Language Processing

Chris Sinha, Ronan G. Reilly, NOEL E. SHARKEY • The American Journal of Psychology (1994)

Preface, N. Sharkey and R. Reilly connectionist natural language processing semantics, M.D. Dyer, et al distributed symbol discovery through symbol recirculation - toward natural language processing in distributed connectionist networks, R....

OPENALEX DOI: https://doi.org/10.2307/1423043

USE OF ARTIFICIAL INTELLIGENCE TO IDENTIFY AND CORRECT MISCONCEPTIONS ABOUT RADIATION

Oleksandr Tymoshchuk • Інформаційні технології і засоби навчання (2025)

The expansion of nuclear technologies in various industries, combined with the constant threat of radiation-related incidents, highlights the urgent need for effective radiation education. This study is devoted to an empirical investigation...

DOAJ Open Access (DOAJ) DOI: 10.33407/itlt.v105i1.5905

On a Cognitive Model of Semiosis

Konderak Piotr • Studies in Logic, Grammar and Rhetoric (2015)

What is the class of possible semiotic systems? What kinds of systems could count as such systems? The human mind is naturally considered the prototypical semiotic system. During years of research in semiotics the class has been broadened t...

DOAJ Open Access (DOAJ) DOI: 10.1515/slgr-2015-0007

Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)

Mariya Toneva, Leila Wehbe • arXiv (Cornell University) (2019)

Neural networks models for NLP are typically implemented without the explicit encoding of language rules and yet they are able to break one performance record after another. This has generated a lot of research interest in interpreting the ...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1905.11833

Detecting Fake News in Urdu Language Using Machine Learning, Deep Learning, and Large Language Model-Based Approaches

Muhammad Shoaib Farooq, Syed Muhammad Asadullah Gilani, Muhammad Faraz Manzoor, Momina Shaheen • Information (2025)

Fake news is false or misleading information that looks like real news and spreads through traditional and social media. It has a big impact on our social lives, especially in politics. In Pakistan, where Urdu is the main language, finding ...

DOAJ Open Access (DOAJ) DOI: 10.3390/info16070595