The identification of proper nouns from text aims to classify named entities according to their respective groupings, an aspect included in Named Entity Recognition (NER). Proper noun disambiguation can adversely affect morphological analysis, a vital trait to improve the corpus availability via classification and new word assimilation. The occurrences of proper nouns can be annotated from the text resources using separate entity mapping from their fragments. This research was carried out to examine the impact of regex on text pattern identification sequence that queried and acquired proper nouns from a collection of unannotated Malay language news articles. This basis study envisions several techniques to improve text entities precision and accuracy, such as pre-processing and data clustering. The results showed that the F-scores of the output tested on the unannotated news dataset were between 30% and 60%...

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This study was aimed to develop a Malay proper noun detection method to cluster and classify  named  entity  categories,  particularly  for  major  important  classes  such  as  person,  location,  organization,  and  miscellaneous  for  Malay  newspaper  corpus. Regular  Expression pattern identification (regex) algorithm and rule were introduced in this study to  overcome the limitation of dictionary and gazetteer.  Two visualization techniques  namely  as   Decision  Tree  and  Term  Document  Matrix  had  been  used  to evaluate the efficiency of the  method.   The result obtained 74% of accuracy during the  generation of  decision tree.    Visualization for term document matrix  achieves  a maximized value of 9.8007403, 9.8718517, and   9.9890683 for Astro Awani, Berita Harian, and Bernama dataset respectively.  As a conclusion, the  regex algorithm could indicate the presence of Malay proper noun, thus making it an appropri.....

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The Named Entity Recognition (NER) field had been thriving for more than 15 years. NER could be defined as a process that recognizes named entities, such as the names of persons, organizations, locations, times, and quantities. The research field of NER generally emphasizes on the extraction and classification of mentions for rigid designators. This ranged from text, such as proper names, biological species, temporal expressions, and so on. NER has been utilized in many sectors, for example ranging from inquiries to morphological syntax, besides information extraction. However, most of the work had been delegated on limited domains and textual genres such as news articles and web pages. Techniques used during the processing of English text cannot be used to process Malay-related terminology. This is due to the different morphological usage of a particular language. Finding co-references and aliases in a text can be reduced to the same problem of finding all occurrences of an entity in .....

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Disaster relief logistics is vital for effective disaster preparedness and response, involving strategic depots and distribution networks. Intelligent decision-making optimizes routing and customer targeting, while heuristics predict expenses for round-trip deployments. Recent efforts aim to develop temporary logistics solutions to meet demand and enhance coverage. Presently, distribution networks designed to address the lack of a strategic autonomous intelligent relief distribution network also prioritizes specific proposals that involve tradeoff in prioritizing demographic priorities while optimizing resource allocation for tasks. This research employs computational intelligence to improve a scheduling model for distributing commodities in flood-prone, low-lying divisions of the Sarawak region. To attain minimal resource use and optimal route coverage, the Multi-Depot Vehicle Routing Problem, tailored for this scenario, integrates advanced routing optimization techniques with demogra.....

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