494 results for “goal”

Set a search alert

Research ArticleOpen accessIn the abstractEffect of Altitude on Species Diversity and Vegetation Structure of Kigelia africana Parklands in CameroonAwé Djongmo Victor, Vroh Bi Tra Aimé, Noiha Noumi Valery et al.In the Faro Subdivision (North, Cameroon), there are populations of Kigelia africana, known by the common name “Dambale", whose variety is largely unknown. The study's goal is to demonstrate how altitude affects species diversity and vegetation structure in Kigelia africana parklands. To gather information for statistical analysis, a Randomized Complete Block Design (RCBD) was employed. A total of 90 quadrats … …American Journal of Agricultural and Biological Sciences, Vol. 20, Issue 1 · 20 Dec 2025 · 3,184 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Bibliometric Assessment of Urban Agriculture Indexed in Scopus and Wos From 1978-2023Emrobowansan Monday Idamokoro, Augustine Suh Niba, Eunice Amaka AkuruUrban agriculture is a system of food production in and around urban settlements aimed at ameliorating the challenge of food shortage. The goal of this study is to explore emergent worldwide publication trends, contemporary focus and gaps in urban agriculture research over the last four decades (1978-2023). Despite the numerous research work on urban agriculture, gap existed in literatures on … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 14 Sep 2025 · 3,981 accessesView PDF Cite

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 · 5,945 accessesView PDF Cite

Research ArticleOpen accessIn the abstractComputational Analysis of Genre Effects on Movie Ratings Using MLP AlgorithmsSubir Gupta, Upasana Adhikari, Shefali Varshney, Tanupriya ChoudhuryPredictive analytics are what the entertainment industry depends on so much in prognosticating movie ratings, which is why they inform filmmakers, distributors and stream platforms strategic moves. Traditional prediction models most times only succeed in missing out on the intricate dynamics that are genre-specific to movie ratings thereby leading to inaccuracies and suboptimal decision making. The paper proposes this research … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 5,545 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEcological Function Evaluation of Soil and Water Conservation Measures for Power Transmission and Transformation Project Construction Based on Remote Sensing and it’s Improvement PathYang Han, Songsong Wang, Yanhui Yang et al.Assessing ecological functions is critical for determining the efficacy of soil and water conservation measures, especially during the development of power transmission and transformation projects. Efficient conservation practices are essential for reducing ecological effects and guaranteeing sustainable development. This research aims to create a resilient model, Ecological Function Prediction for Conservation Effectiveness (EFP-CE) that will classify conservation effectiveness as either … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 17 Mar 2025 · 7,737 accessesView PDF Cite

Research ArticleOpen accessIn the abstractNonnegative Matrix Factorization Features Extraction and Ensemble Methods Classifier for ECG Image ClassificationHussain K. Ibrahim, Shawkat K. Guirguis, Hend A. ElsayedThis study is a novel proposed classification system for ECG image classification. This proposed system uses nonnegative matrix factorization for feature extraction and ensemble methods for classification, and the results are compared with the features extracted by the principal component analysis, kernel principal component analysis, and independent component analysis. Although algorithms find image classification challenging, humans typically find it easy. … …Journal of Computer Science, Vol. 21, Issue 4 · 15 Mar 2025 · 4,874 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSecuring IoT Networks: Multi-Attack Detection of RPL Routing Threats Using Deep LearningAyoub Krari, Abdelmajid Hajami, Ayoub Toubi, Marouane Ait SaidThe growing frequency of cyber threats in Internet of Things (IoT) networks, including attacks on RPL routing, requires the creation of strong detection systems to safeguard network integrity and provide dependable communication. This study is driven by the pressing necessity to tackle the security weaknesses in IoT networks, where threats such as black holes, version number alteration, DIS flooding, and … …Journal of Computer Science, Vol. 21, Issue 4 · 6 Mar 2025 · 5,413 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSmart Talent Sourcing Through Advanced Skill Profiling TechniqueAmey Krishnanath Shet Tilve, Gaurang Sitaram Patkar, Vadiraj Gururaj Inamdar et al.The hiring process often struggles with aligning job seekers' skills to employers' requirements, leading to inefficiencies and mismatches. To address this challenge, a dual-functionality system is proposed that leverages Natural Language Processing (NLP) techniques, including BERT for embedding textual information and cosine similarity to rank resumes according to their alignment with job descriptions and to recommend suitable candidates to employers … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,976 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGreedy Algorithm Implementation for Test Case Prioritization in the Regression Testing PhaseAkira Wahyu Putra, Nilo LegowoThis study examines the implementation of Test Case Prioritization (TCP) using the Greedy Algorithm (GA) to enhance regression testing efficiency within a financial technology company's software development cycle. With testing durations increasing significantly, this study aims to address inefficiencies by applying the Greedy Algorithm to optimize test suite size and fault detection. The research methodology involves applying the Greedy Algorithm … …Journal of Computer Science, Vol. 21, Issue 2 · 9 Jan 2025 · 7,572 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEnterprise Architecture Security Assessment Framework (EASAF)Bandar Mzel AlshammariMany existing studies have shown that the causes of most of system attacks are not related to coding vulnerabilities that apply to individual systems, issues related to the run-time environment, or the technology in place. In fact, they are caused by issues associated with how systems within organizations are structured. Therefore, it is necessary to examine security with regard to … …Journal of Computer Science, Vol. 13, Issue 10 · 23 Oct 2017 · 8,650 accessesView PDF Cite