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32 results for “forest sampling”
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Research ArticleOpen accessIn the keywordsRelationship between Laboratory Germination and Biometric Parameters of Betula jarmolenkoana Golosk. AgletsZhandos Rakymbekov, Kurmankul Abayeva, Daniyar Dosmanbetov et al.This study evaluates the relationship between laboratory germination and biometric parameters of aglets of the critically endangered birch tree species Betula jarmolenkoana Golosk (Yarmolenko birch). The Yarmolenko birch is a very rare, narrowly endemic species, growing at an altitude of 1,900-2,100 m above sea level and only in the basins of three rivers (Kakpak, Bayynkol, and Tekes) in the Almaty … …OnLine Journal of Biological Sciences, Vol. 23, Issue 1 · 1 Mar 2023 · 4,912 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUtilization and Modification of Point Sampling and Line Sampling in the Forestry SurveyDifei ZhangProblem statement: In the practice of conventional point sampling and line sampling methods in the forestry survey, we often encounter problems such as boundary and hole problems. These problems could introduce bias in the results of forest sampling. Proper modifications are needed. Approach: This study developed novel probability computation approaches in the utilization and modification of horizontal point sampling and … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 7,676 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparing the Fertility of Soils under Khaya ivorensis Plantation and Regenerated Degraded Secondary ForestsYetti Heryati, Arifin Abdu, Mohd Noor Mahat et al.Problem statement: It is widely accepted that conversion of natural forest to other land use types leads to deterioration of soil fertility and increased soil compaction which consequently become degraded secondary forests. Degraded secondary forest or forestland is indicated by low in soil fertility and organic matter due to imbalance input and output from original vegetation. Forest plantation through planting … …American Journal of Applied Sciences, Vol. 8, Issue 5 · 17 May 2011 · 8,509 accessesView PDFCite
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 PDFCite
Research ArticleOpen accessIn the abstractEnsemble Learning-Based Hybrid Explainable Intrusion Detection System With SMOTE for Enhanced Detection and Interpretability in CybersecurityMohammad Subhi Al-Batah, Taqieddin AldrousWith cyberattacks becoming increasingly sophisticated, there is a growing need for Intrusion Detection Systems (IDS) that are both accurate and interpretable. This study introduces a hybrid IDS framework that integrates Random Forest (RF) and Light Gradient Boosting Machine (LGBM) classifiers with the Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance. To enhance transparency and trust, the system also incorporates … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Hierarchical Deep Learning Approach for Intrusion Detection: Hyperparameter Tuning and Performance Evaluation on the CICIDS DatasetAjeet Singh, Azath M, Shahazad Niwazi Qurashi et al.Intrusion Detection Systems (IDS) are essential in the communication security and integrity of contemporary network architectures. This study introduces a novel advanced hierarchical deep learning model for network intrusion detection using the CICIDS dataset-2019. To improve the detection accuracy, the proposed model architecture builds several deep learning layers embedded with hyperparameters' optimization. Additional preprocessing steps, including over-sampling and min-max scaling, … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Dec 2025 · 2,148 accessesView PDFCite
Research ArticleOpen accessIn the abstractTree Volume Prediction Model of Cupressus lusitanica Species: in North-Western Highlands of EthiopiaYishak Adgo Kassie, Abebaw Alene YallewA significant basis of raw materials for the forest products industry is provided by Cupressus lusitanica, one of the commercial timber tree species found in the forest. Accurate tree and stand volume development models are necessary for intensive forest management to yield timber. The goal of this study was to develop and validate volume equations for Cupressus lusitanica tree species … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 26 Aug 2025 · 5,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Smote and CSSF Techniques for Diabetes Classification Using Imbalanced DataBashar Hamad Aubaidan, Rabiah Abdul Kadir, Mohamad Taha IjabDiabetes, a prevalent chronic metabolic disorder, poses a significant burden on healthcare systems worldwide. Accurate and timely diagnosis is crucial for effective management and complication prevention. Machine learning presents a promising solution but often faces challenges due to class imbalance within datasets, particularly the underrepresentation of diabetic cases. To address this issue, we introduce Cluster-based Synthetic Sample Filtering (CSSF), a … …Journal of Computer Science, Vol. 20, Issue 9 · 22 Jul 2024 · 4,998 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Decreasing Temperature on Soil Microbial Activity in a Boreal Shield EcozoneAlistar Moy, Kabwe NkongoloAlthough the focus on warming is imperative to address climate change, addressing the effects of cooling is arguably just as relevant in characterizing the enzyme response to temperature fluctuations. In this study, the response of enzyme activity to diminishing temperatures in the field was evaluated. The targeted sites were located in the City of Greater Sudbury in Northern Ontario, Canada. … …American Journal of Environmental Sciences, Vol. 18, Issue 2 · 17 Apr 2022 · 6,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractBawean Island Citizens' Perception and Attitude toward the Existence of Bawean Deer (Axis kuhlii) and Its HabitatMiarsono SigitBawean deer (Axis kuhlii) is an Indonesian endemic - animal species that is categorized as Critically Endangered by IUCN and listed on Appendices I by CITES. This study aims to analyse Bawean citizens' perceptions and attitude to forest and the Bawean deer. The study was conducted by direct interviews and field observations. The respondents were determined by purposive sampling and … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 4 · 27 Nov 2019 · 7,708 accessesView PDFCite