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Research ArticleOpen accessEvery word in the titleAssessing Supervised Classification Algorithms for Mangrove Detection and Differentiation from Other Forest Types in Paiton District, Probolinggo RegencyKaruniawan Puji Wicaksono, Fathor Rohman, Yasushi MitsudaRemote sensing provides an effective approach for monitoring forest cover dynamics, yet distinguishing mangroves from other forest types remains challenging in heterogeneous coastal landscapes. This study compares six supervised classification algorithms: Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Mixture Discriminant Analysis (MDA), Support Vector Machine (SVM), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) for mangrove detection in Paiton, … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 1 Sep 2026 · 844 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOff-road Vehicle-Induced Substrate Vibrations Are Associated with Strong Declines in Ectomycorrhizal Mushroom Fruiting in Forest EcosystemsLev ShestakovWe conducted a multi-year (2020-2024) control-impact field study in a pine forest of the Moscow Region to assess whether off-road vehicle activity affects the fruiting of two ecologically important ectomycorrhizal fungi, Boletus edulis and Suillus luteus. Substrate vibrations associated with vehicle passage were recorded and characterized by dominant energy in the low-frequency range. Over the study period, abundance in disturbed … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 23 May 2026 · 1,305 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHydrophysical Properties of Soils as Indicators of the Hydrological Role of Rudny Altai ForestsAndrey Kalachev, Tamara Burenina, Stanislav Rogovsky et al.The hydrophysical properties of soils and parent rock are key factors shaping forest hydrological functioning, as they influence multiple runoff components. This study assessed the effects of forest stand composition on soil moisture and water permeability between 2021 and 2023 in the middle mountain-taiga zone of the Rudny Altai, within the Zhuravlikha River basin, a tributary of the Irtysh River. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 24 Mar 2026 · 1,316 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCuckoo Search Optimized Random Forest for Breast Cancer PrognosisPrasad S. Sase, Debabrata Swain, Shailesh KumarBreast cancer remains a major global health concern due to its high mortality rate, particularly when diagnosis occurs at an advanced stage. Accurate and early differentiation between benign and malignant tumors is therefore critical for improving patient outcomes. Conventional diagnostic practices largely depend on manual assessment and clinical expertise, which may lead to subjective variability in decision-making. To overcome this … …Journal of Computer Science, Vol. 22, Issue 1 · 31 Jan 2026 · 2,098 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRandom Forest and Extreme Gradient Boosting with Bayesian Hyperparameter Optimization for Landslide Susceptibility Mapping in Penang Island, MalaysiaDorothy Anak Martin Atok, Soo See Chai, Kok Luong Goh et al.Landslide susceptibility models often face challenges of overfitting and overestimation. This research focuses on improving the predictive capabilities of the Extreme Gradient Boosting (XGBoost) and Random Forest (RF) algorithms by applying Bayesian Hyperparameter Optimization (BayesOpt). Penang Island, a region in Malaysia prone to frequent landslides, was chosen as the study area. Ten Landslide Conditioning Factors (LCFs), including elevation, slope angle, … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 3,103 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRandom Forest-Based Genome Analysis for Disease Association and SNP Marker IdentificationXiangdong LiuAt present, genomic data analysis has the problems of insufficient model interpretation and limited computational efficiency in disease association research. As a powerful machine learning algorithm, Random Forest has demonstrated excellent ability in processing complex and multi-dimensional data sets and has gradually become a popular tool in the field of bioinformatics. The purpose of this paper is to explore how … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Jul 2025 · 5,533 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Impact of Road Opening on Vegetation Damage in the Bukit Barisan Forest Park Protected Forest in IndonesiaBudi Utomo, Bungaran Johanes Tambunan, Rizky Wahyudi et al.Road opening on the Medan-Berastagi alternative route will begin in 2023 with a track length of approximately 55.87 km. The aim of this study was to analyze land cover in forest areas and recommend plants around the opening of the Medan-Berastagi alternative route, Kutalimbaru District. Data processing and retrieval was carried out in November 2023-January 2024. Calculation of the 2018 … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 10 Feb 2025 · 4,013 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLand Cover Changes from Forest Fires Using CA-Markov in Pelalawan, IndonesiaApri Zulmi Hardi, Abdulkader Ali MuradForest and land fires pose significant risks to ecosystems, particularly in Pelalawan Regency, Indonesia, where slash-and-burn practices during the dry season exacerbate peatland degradation. This study integrates Cellular Automata (CA) and Markov-chain analysis to model and predict land cover changes and carbon stock dynamics over the next 20 years. The model projects spatial patterns of land cover changes from 2002-2033 … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,874 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative 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 · 4,549 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleAdvances in Forest Fire Detection, Prediction and Behavior: A Comprehensive SurveyAhmad Alkhatib, Khalid JaberForest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection, prediction and behavior analysis systems in place. This study provides a comprehensive survey of the different approaches and techniques used for forest fire detection, prediction and behavior analysis. … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,419 accessesView PDFCite