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Research ArticleOpen accessPhrase in the titleAssessment of the Cenozoic Erosion Amount Using Monte Carlo Type-Petroleum Systems Modeling of the Hammerfest Basin, Western Barents SeaKrzysztof Jan Zieba, Matthias Daszinnies, Benjamin Emmel et al.The Cenozoic uplift and erosion is often believed to be a major risk factor in hydrocarbon exploration in the Barents Sea causing petroleum redistribution and leakage from filled traps. Therefore, the estimation of erosion amount is an important but often underrepresented task in the basin modeling procedure. The assessment of erosion magnitudes and spatial distribution by geochemical and thermo chronological … …Current Research in Geoscience, Vol. 4, Issue 2 · 29 Apr 2015 · 8,318 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn Estimation of Rainfall using Fuzzy Set-Genetic Algorithms ModelTeerawat Thongwan, Anongrit Kangrang, Sahalaph HomwuttiwongProblem statement: Damaged by floods are natural disasters that have violence cause significant damage and economic and social. If we can prevent disasters that may occur in advance is important. So an estimated rainfall data is important information for prevention disasters. Approach: The objective of this study is to apply a fuzzy set theory to estimate rainfall. The genetic algorithm … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 1 · 28 Jan 2011 · 8,020 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExtension Model Based on Farmers’ Resources and Need to Improve Feed Technology AdoptionAgustina Abdullah, Indrawirawan IndrawirawanFeed technology is essential for improving beef cattle productivity, yet its adoption by farmers often remains partial and misaligned with their actual needs. This study aimed to develop a context-responsive agricultural extension model to enhance the adoption of feed-related innovations among beef cattle farmers. The research was conducted in Herlang and Bulukumpa Districts, Bulukumba Regency, South Sulawesi, Indonesia. Using a … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 1 · 5 May 2026 · 1,467 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,695 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnimal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning ApproachJ. Rathi, A. SumathiAnimal condition disease prediction is a crucial task in veterinary medicine, and accurate prediction can significantly improve animal health and reduce economic losses. This paper proposed a novel hybrid classification model that combines an Improved Fuzzy-based feature selection process with a Hybrid KNN-based Vector Neighbor Classification model to enhance animal condition disease prediction. The proposed model aims to improve the … …Journal of Computer Science, Vol. 21, Issue 9 · 21 Oct 2025 · 2,900 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePleural Effusion Detection Using Optimized Pretrained ModelsRehab Fathi Ibrahim, Nashwa Mohamed Elsayed et al.Pleural effusion is an abnormal accumulation of fluid in the pleural cavity, posing a significant thoracic issue with various causes. Even with a variety of diagnostic techniques, accurate diagnosis remains challenging. Delays in diagnosis and treatment heighten the risks of the disease. In this paper, we introduce a novel approach by leveraging the Grey Wolf Optimizer (GWO) to systematically optimize … …Journal of Computer Science, Vol. 21, Issue 8 · 17 Oct 2025 · 2,308 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Study on Factors Influencing MBA Decision After Bachelor’s Using Hybrid Model Combining ANN With Principal Component AnalysisKittipol Wisaeng, Benchalak MuangmeesriThis study comprehensively examines the complex relationship between various individual characteristics and individuals’ expectations after obtaining a bachelor’s degree, particularly in determining whether to pursue a Master of Business Administration (MBA). Utilizing a well structured, hypothesized framework, we examine several key variables directly influencing this critical decision-making process. The examined variables include, but are not limited to, demographic information, academic … …Journal of Computer Science, Vol. 21, Issue 9 · 13 Oct 2025 · 2,242 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAssessing Bi-LSTM Model’s Performance in Identifying AI Generated Text in Digital MediaTinashe Crispen Garidzira, William Tichaona Vambe, Courage MatoboboThe rapid growth of AI-generated content from ChatGPT, Gemini, and many others poses significant challenges in digital media. There are increasing instances of text generated by machine learning models being indistinguishable from human-written text. This calls for an effective way of detecting and distinguishing text generated by AI from human text. Using a Cross-Industry Standard Process for Data Mining (CRISP-DM) … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 2,416 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleModeling the Nile: A Comprehensive Water Budget and Flow Assessment with the River Basin Flow Model (RBFM)Youssef Ismail HafezThe Nile River basin, covering 2.9 million km³ across 11countries, is one of the world's most complex hydrological systems. With an annual historical discharge of 84 billion m³ at Aswan, Egypt, and rainfall of around 1,660 billion m³ per year over the Nile basin, effective management of this vital transboundary resource requires a deep understanding of its hydrology. This study … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 18 Jun 2025 · 8,740 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid Enhanced Neighbourhood and Latent Factor Model for Cold-Start RecommendationsAmritha P, Rajkumar KKAmong different recommendation strategies, collaborative filtering remains a commonly utilized method for generating personalized suggestions. The traditional collaborative algorithms face performance declines due to the sparse rating of data and the item cold-start problem. To overcome these challenges, this paper introduces a novel hybrid model called HCE-KNNCF (Hybrid Cognition-Enabled K-Nearest Neighbor Collaborative Filtering). The proposed model generates predicted rating by … …Journal of Computer Science, Vol. 22, Issue 9 · 21 Sep 2026 · 622 accessesView PDFCite