Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

228 results for “Extraction process”
Set a search alert
Review ArticleOpen accessIn the abstractImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractAuto Weight Dilated Convolutional Ensemble Network for the Severity Analysis of Lung Cancer in CT ImagesL. Sandhya, K. MarimuthuLung cancer is one of the world's leading causes of morbidity and mortality; improving patient outcomes requires an early and precise diagnosis. Lesion and tumor segmentation remains a challenging task in CT images due to their inherent imaging limitations, such as the small size of nodules, heterogeneous textures, blurry boundaries, and adjacent structures, leading to misclassification and difficulty in delineating … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Arabic Named Entity Recognition with K-Fold Cross Validation on LSTM and Bi-LSTM ModelsHamid Sadeq Mahdi Alsultani, Ahmed H. AliwyNamed-Entity-Recognition(NER) is one of the most important Information-Extraction (IE) use cases, whichis used to improve the performance of Natural Languages Processing (NLP) tasks,such as Relation-Extraction (RE), Question-Answering (QA). Recently, Arabic NER is tackled in differentways by researchers. In this study, we assess the performance of two widelyused models, namely, LSTM and Bi-LSTM on the NER task in the Arabic languageand … …Journal of Computer Science, Vol. 18, Issue 9 · 6 Sep 2022 · 6,317 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach for Discovering the Patterns by using PDBD Model in Big DataKamatchi Sundravadivelu, Muthuraman ThangarajBig data is a term that refers to information collected from a wide range of sources, including transaction processing systems, sensors, digital photographs, internet click stream logs, movies, and social media. The goal of text mining is to reveal new patterns and relationships that could lead to the discovery of previously unknown sources. It provides ample scope for interpretation of … …Journal of Computer Science, Vol. 18, Issue 5 · 21 May 2022 · 6,045 accessesView PDFCite
Research ArticleOpen accessIn the abstractNatural Repellent Anthraquinone Applied on Cereal Grain Seeds and Seedlings Against Pigeons (Columba livia) in CaptivityKan Khoomsab, Itsara TangsuwanThis research aims to test the effects of cassia leaf extract on the eating behavior of pigeons for application as a natural repellent. Senna siamea (Cassia) leaves were oven-dried and blended into fine pieces and processed by the simplest extraction method (maceration) with ethyl alcohol 70% solution and were then extracted with hot continuous extraction (Soxhlet extraction) with ethyl alcohol … …American Journal of Agricultural and Biological Sciences, Vol. 14, Issue 1 · 16 Dec 2019 · 7,456 accessesView PDFCite
Research ArticleOpen accessIn the abstractHistorical Relation Extraction from Buddhist Temple Documents of the Lanna KingdomPongkorn Chantaraj, Jaratsri Rungrattanaubol, Anamai Na-udomA substantial amount of valuable knowledge has been recorded, namely historical documents, in the form of unstructured data. The Extraction of such information will provide useful historical knowledge. The objective of this study, is to propose a relation extraction technique of unstructured data from Buddhist temple documents in the Lanna Kingdom, consisting of relationships including the name of the kings … …Journal of Computer Science, Vol. 15, Issue 9 · 26 Sep 2019 · 7,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Ontological Approach for Dental Extraction Decision Making and Knowledge Dissemination – A Pilot Study for Dental Extraction ForcepsShanmuganathan Vasanthapriyan, Kuhaneswaran BanujanTooth extraction is one of the most usual surgical procedure in the field of dental. Not having proper knowledge of tooth and extraction instruments may cause too much complexity in extraction procedure or even some damages to patients’ jaws. Mainly when using extraction forceps, the proper forceps should be used according to the teeth and the situation. So, it is … …Journal of Computer Science, Vol. 15, Issue 6 · 24 Jun 2019 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the abstractOpinion Extraction on Online Malay TextSurendran Selvaraju, Kalaiarasi Sonai Muthu AnbananthenGrowing of social media usage present a new set of opportunities and challenges in the way of information is retrieved and searched. Opinions on social media has become an important factor in influencing people choices on purchasing a product and service. Hence, sentiment analysis has become the most crucial tool in tracking people feedbacks on products and services. For Malay … …American Journal of Applied Sciences, Vol. 16, Issue 4 · 12 Jun 2019 · 7,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassifications of Skull Fractures using CT Scan Images via CNN with Lazy Learning ApproachMd Moniruzzaman Emon, Tareque Rahman Ornob, Moqsadur RahmanClassification of skull fracture is a challenging task for both radiologists and researchers. Skull fractures result in broken pieces of bone, which can cut into the brain and cause bleeding and other injury types. So it is vital to detect and classify the fracture very early. In real world, often fractures occur at multiple sites. This makes it harder to … …Journal of Computer Science, Vol. 18, Issue 3 · 15 Mar 2022 · 9,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Public Sentiment on Demonetization Using SVM: A Machine Learning ApproachKaliappan M, Guruprakash B, Rajalakshmi et al.The Indian economy experienced significant disruption following the implementation of demonetization, a policy initiative aimed at eliminating black money, controlling inflation, and promoting financial inclusion. However, this currency ban generated widespread debate and polarized public opinion. This study analyzes public sentiment toward demonetization using social media data, specifically Twitter posts characterized by mixed sentiments, sarcasm, and nuanced linguistic expressions. We … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 2,235 accessesView PDFCite