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Research ArticleOpen accessIn the abstractEvaluation of Trap Size, Trap Entrance Size and Methyl Eugenol Amount for the Catch of Bactrocera Dorsalis HendelAndi Nasruddin, Iftitah Kartika Amaliah, Julisa et al.The Oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), is a damaging pest of fruit and vegetable crops in many tropical and sub-tropical countries. In Indonesia, the fly is a serious pest of pepper that can cause total yield loss. The purposes of the current study were to determine: (1) The effect of trap size and Methyl Eugenol (ME) amount … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 26 Jun 2022 · 6,379 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnaphora Resolution in Thai EDU SegmentationAuthapon Kongwan, Siti Sakira Kamaruddin, Farzana Kabir AhmadHuman knowledge is mostly in the form of unstructured text. Text can be transcribed into various languages such as the Thai language. To extract knowledge from Thai text, natural language tasks such as word segmentation, Elementary Discourse Unit (EDU) segmentation, and anaphora resolution is the needed tasks. Some interesting phenomena such as non-referential anaphora and the ellipsis of the owner … …Journal of Computer Science, Vol. 18, Issue 4 · 5 May 2022 · 6,065 accessesView PDFCite
Research ArticleOpen accessIn the abstractIs Single Scan based Restructuring Always a Suitable Approach to Handle Incremental Frequent Pattern Mining?Shafiul Alom Ahmed, Bhabesh NathIncremental mining of frequent patterns has attracted the attention of researchers in the last two decades. The researchers have explored the frequent pattern mining from incremental database problems by considering that the complete database to be processed can be accommodated in systems’ main memory even after the database gets updated very frequently. The FP-tree-based approaches were able to draw more … …Journal of Computer Science, Vol. 17, Issue 3 · 12 Mar 2021 · 6,923 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffectual Deep Learning Based Digital Image Forgery Detection Model Using Ameliorate CNN, VGG 16 and VGG 19 for Copy Move and Image Splicing Classification With Enhanced PerformancePreeti Dhiman, Usha ChauhanIn this research, a pioneer passive approach for detecting and localizing tampering in images is proposed. In the past, image forgeries have created a huge impact in the world. Developments of various image processing technologies made it easier to tamper images with the objective to cover up or hide a significant feature in an image. In some situation, such as … …Journal of Computer Science, Vol. 22, Issue 10 · 3 Oct 2026 · 568 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Review of Post-Quantum Cryptography AlgorithmsSamandeep Kaur, Jaswinder SinghThe development of quantum computing has been rapid, and an existential threat to computational hardness assumptions that underlie today's public-key cryptography has been encountered. This manuscript is a complete and thoroughly organized review of Post-Quantum Cryptography (PQC), discussing the mathematical concepts, complexity, and mechanisms of the algorithms that underpin quantum-safe security infrastructures. Rather than the principles of quantum mechanics, the … …Journal of Computer Science, Vol. 22, Issue 9 · 25 Sep 2026 · 723 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlpha Thalassemia Carrier Detection a Diagnostic ApproachH. R. Samruddhi, Anupama Hegde, Harsha Prasada L et al.Alpha-thalassemia is one of the most common single-gene disorders, and its carrier state often remains undetected due to nonspecific hematological findings. This study aimed to identify alpha-thalassemia carrier status among people being investigated for hemoglobinopathy in a tertiary care setting. A cross-sectional laboratory-based study was conducted from January 2023 to January 2024. Hemoglobin variant analysis reports by High Performance Liquid … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 22 Sep 2026 · 481 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing SQL Injection Detection: A Machine Learning Approach Using Network Flow DataP. Vinoth, K. Muthamil Sudar, S. MuthukumarBackground: SQL injection is one of the cyberattacks which occurs in web application vulnerabilities. It targets the poor input validation and enables the attackers to inject malicious queries into the database fields in any application. It will grant access to unauthorized users and data modification, or they will take control over the complete database. To prevent this, there are several … …Journal of Computer Science, Vol. 22, Issue 8 · 18 Aug 2026 · 1,051 accessesView PDFCite
Research ArticleOpen accessIn the abstractAttribute Reduction in Bipolar Intuitionistic Fuzzy Relation SystemWeiyuan Wang, Qian WangBipolar intuitionistic fuzzy relation system (BIFRS) effectively characterize the bipolarity in real-world data by introducing positive and negative membership and non-membership degrees. To address redundancy caused by high-dimensional attributes, this paper proposes an attribute reduction method based on bipolar intuitionistic discernibility matrices. By constructing positive discernibility matrix M+∗ matrix M−∗ and negative discernibility , we systematically identify the minimal attribute … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 16 Jul 2026 · 1,063 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Ten Cucumber (Cucumis sativus L.) Hybrids Under Greenhouse Conditions in the Aral Sea Region of KazakhstanIbadulla Aigalievich Tautenov, Gulsym Zykriyaevna Sauytbayeva, Rakhym Iskendirovich Kudiyarov et al.Greenhouse cucumber production in the Aral Sea region of Kazakhstan faces unique challenges due to harsh climatic conditions and limited agricultural resources, making cultivar selection a critical determinant of productivity and economic viability. This study evaluated ten parthenocarpic smooth-fruited cucumber hybrids, Multistar F1, Melen F1, Hoyrat F1, Minmax F1, Lami F1, Infinity F1, Magnum F1, Sprint F1, Joki F1, and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 6 Jul 2026 · 1,083 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Monitoring of Endocrine-Disrupting Chemicals: Analytical Chemistry and Biological Assessment ApproachesChangjin Li, Jing Huo, Zijun Dou et al.Endocrine-Disrupting Chemicals (EDCs) in aquatic environments pose significant threats to ecosystems and human health. These compounds interfere with hormonal regulation at low concentrations and have non-monotonic dose-response relationships, posing challenges to conventional risk assessment. This review systematically compares current EDC monitoring methods, including instrumental chemical analysis and receptor-based biological detection systems, to evaluate sensitivity thresholds, sample throughput, and mechanistic selectivity … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,081 accessesView PDFCite