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Research ArticleOpen accessIn the abstractComparative Characterization of Small Mammal Communities in Forest-Steppe and Steppe Landscapes of the South of Western and Central SiberiaZarina Mukhtarovna Sergazinova, Alexander Vladimirovich Makarov, Aliya Toleuzhanovna Toleuzhanova et al.This study analyzes the fauna, population, and distribution patterns of small mammals of forest-steppe and steppe landscapes of the south of Western and Central Siberia for the period between 1998 and 2021 on the basis of literature data and authors' own materials. Most of these studies were local in nature, while our work is characterized by a generalizing and comparative … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 4 Dec 2024 · 4,556 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Personal Name Matching: Names Written using Latin AlphabetAttia Nehar, Slimane Bellaouar, Djelloul Ziadi, Khaled Moulay OmarAbstract: In many Arab countries’ public administrations, Arabic personal names are written with Latin alphabet, generally, in various ways by different writers. This has led to many problems when it comes to connecting these administrations. The aim of this study was to propose two new approaches for the pairwise matching of Arabic personal names. The first approach is based on … …Journal of Computer Science, Vol. 17, Issue 9 · 29 Sep 2021 · 7,610 accessesView PDFCite
Review ArticleOpen accessIn the abstractCOVID-19: A Review of Current Evidence on Phylogenetics and EtiopathogenesisRafiq Shajahan, Naganathan K. PillaiCOVID-19 represents the latest pandemic caused by the SARS-CoV-2 coronavirus. Coronaviruses are RNA viruses that cause a largely viral mediated immune-related syndrome similar to the SARS epidemic. Following metagenomic sequencing, SARS-CoV-2 closely resembles SARS-CoV (79% similarity) and MERS-CoV virus (50% similarity). Despite this, clinical observations have found varying degrees of infectivity and pathogenesis amongst these viruses. Phylogenetic origins of SARS-CoV-2 … …American Journal of Infectious Diseases, Vol. 17, Issue 1 · 2 Apr 2021 · 6,766 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Molecular Markers ISSR, SSR and RFLP to Study the Genetic Variation of Strawberry CultivarsGanies Riza Aristya, Rina Kasiamdari, Muhammad Fauzi Arif et al.Strawberry is grown in Indonesia because it has potential high economic value. The purpose of this study was to investigate relationship of phenetic lineage and genetic variations in 12 strawberry cultivars using three different molecular marker methods, including ISSR, SSR and RFLP. Five primers of ISSR markers were used and they generated 53 bands with 44 polymorphic DNA bands. Percentage … …American Journal of Agricultural and Biological Sciences, Vol. 14, Issue 1 · 19 Mar 2019 · 9,188 accessesView PDFCite
Research ArticleOpen accessIn the abstractPandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 632 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 743 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Driven Visual Communication Strategies for Enhancing Engagement in Smart Hospitality PlatformsYudhiet Fajar Dewantara, Yana Erlyana, Lim Jing YiThe rapid evolution of Smart Hospitality has reshaped how tourists interact with service providers. Visual communication plays a pivotal role in influencing engagement, yet most digital content remains generic, limiting brand resonance. This study investigates AI-driven visual communication strategies to enhance engagement by bridging computer science and design communication. A mixed-method approach was employed, starting with the analysis of 120 … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 684 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Data Security Approach Based on GAN Teganographyand AES-RSA Encryption in a Distributed SystemDerrick Méthode Bagaza, Abraham Walake, Mamoudou Kourouma, Blaise Omer YenkeData security in distributed environments has become a major challenge due to the dispersion of resources, the expansion of the attack surface, and the increasing sophistication of cyber threats. Although traditional mechanisms such as data encryption, multi-factor authentication, and access control systems help to strengthen information protection, these approaches still have certain limitations when faced with advanced attacks and human … …Journal of Computer Science, Vol. 22, Issue 8 · 28 Jul 2026 · 1,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid CNN-Based Transformer Pipeline With Radiomic Fusion for Multi-Class Lung Cancer DetectionAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarEarly detection of lung cancer remains challenging due to high intra-class variation and inter-class similarity in Computed Tomography (CT) images. In this paper, we propose a hybrid deep learning model that combines convolutional, attention-based, and transformer-guided representations to address these challenges in multi-class lung cancer classification. For deep feature extraction, we use the EfficientNetV2-S architecture augmented with a Convolutional Block … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jun 2026 · 1,537 accessesView PDFCite
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 · 1,479 accessesView PDFCite