27 results for “Forest structure”

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Research ArticleOpen accessPhrase in the titleForest Structure Assessment of a Rehabilitated ForestRoland Kueh Jui Heng, Nik Muhamad Abd. Majid, Seca Gandaseca et al.Problem Statement: Forest structure assessment provides information on forest succession, dynamics, biodiversity and health which are important but only few information is available on rehabilitated forest. The objective of this study was to assess the forest structure of selected age stands at a rehabilitated forest situated in Universiti Putra Malaysia Bintulu Sarawak Campus, Sarawak, Malaysia. Approach: Four 20×20) m plots … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 2 · 6 Jun 2011 · 9,094 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAssessing 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 PDF Cite

Research ArticleOpen accessIn the abstractClimate-Driven Productivity Responses and Implications for Genetic Adaptation and Breeding of Boreal Trees in KazakhstanZhadyra Baigazakova, Kuralay Mazarzhanova, Asset Satayev et al.Kazakhstan’s boreal and forest-steppe forests form the southern ecotonal edge of the West Siberian taiga, where relatively small changes in heat and moisture can trigger disproportionate impacts on tree growth, mortality, and regeneration. Although forests cover only ~4% of Kazakhstan, they provide critical ecosystem services: stabilizing hydrological regimes, buffering microclimates, protecting agricultural lands from wind and water erosion, and supporting … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 10 Aug 2026 · 709 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBiodiversity and Spatial Distribution of Hornbills in Pondok Buluh Educational Forest, North Sumatra, IndonesiaBudi Utomo, Nabillah Saraswita, Cindy Siahaan et al.Hornbills are large birds, several species of which are protected under national and international conservation legislation and face significant extinction risk. This study was conducted in the Specific Purposes Pondok Buluh Forest Area, North Sumatra, Indonesia, with the aim of identifying hornbill species present, estimating their population density, and characterizing their habitat. Hornbill surveys were carried out using the point … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 28 Mar 2026 · 1,405 accessesView PDF Cite

Research ArticleOpen accessIn the abstractForecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management TechnologyKanjana Hinthaw, Warawut NarkbunnumFinancial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This study develops an integrated machine learning framework that combines feature selection, class imbalance handling, threshold optimization, and Explainable Artificial Intelligence (XAI) to improve both predictive performance and decision-making reliability. Using a dataset of … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 1,130 accessesView PDF Cite

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 · 4,549 accessesView PDF Cite

Review ArticleOpen accessIn the abstractMachine Learning Integration for Precise Facial Micro-Expression RecognitionViola Bakiasi Shtino, Markela Muça, Senada BushatiThis study advances facial micro-expression recognition through innovative machine-learning techniques, addressing critical needs in psychology, security, and human-computer interaction. The purpose of this study is to improve micro-expression recognition through the optimization of feature transformation and machine learning algorithms. We introduce a novel approach combining Kernel Principal Component Analysis (KPCA) and Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction, … …Journal of Computer Science, Vol. 20, Issue 11 · 22 Oct 2024 · 5,592 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEidonomy of Apis mellifera Workers and Drones in ApiariesAnuarbek Temirbekovich Bissembayev, Natalia Evgenievna Zemskova, Vener Nurullovich Sattarov et al.In modern ecosystems, the increasing anthropogenic load, the absence or an insufficient number of scientifically based integrated programs and measures for the reproduction and distribution of local bee populations, as well as the preservation of their habitat territories; unsystematic hybridization leads to the transformation of the quantitative and qualitative composition of bees in the regions. In connection with the presented … …OnLine Journal of Biological Sciences, Vol. 23, Issue 2 · 16 Mar 2023 · 5,110 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAnchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble RegressionTrenton Ward, Isaac OsunmakindeObesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial structure or ensemble-based regression, thereby limiting their ability to capture geodemographic variation. This study introduces a hybrid unsupervised–supervised ensemble framework that integrates K-Means spatial profiling with a Stacking Regressor to address … …Journal of Computer Science, Vol. 22, Issue 7 · 31 Jul 2026 · 632 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Novel Hybrid Machine and Deep Learning Model for Detecting Arabic Phishing EmailsFahad GhabbanPhishing emails are becoming an increasingly popular type of cybercrime on the internet, affecting both businesses and individuals. The attackers generally use various methods to trick victims and extract personal information from them, such as bank details, home addresses, and account information. Many attempts have been proposed to tackle this issue by using filtering mechanisms or automated classification methods which … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,897 accessesView PDF Cite