52 results for “Multiple sources”

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Research ArticleOpen accessPhrase in the titleIncorporating Multiple Sources into AMTree ProtocolAli M. Al-Sharafi, Mohamed Othman, Md. N. Sulaiman, Shamala SubramaniamAMTree protocol is an active network based protocol that makes sending packets to receivers-after source migration-an efficient process. AMTree protocol was designed and tested for one mobile source sending to the multicast group. In this research we introduce a method that allows more than one mobile source to send to the multicast session. The results show that end-to-end latencies are … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 6,870 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleClosed form Solution for Scheduling Arbitrarily Divisible Load Model in Data Grid Applications: Multiple SourcesMonir Abdullah, Mohamed Othman, Hamidah Ibrahim, Shamala SubramaniamScheduling an application in data grid was significantly complex and very challenging because of its heterogeneous in nature of the grid system. When the Divisible Load Theory (DLT) model had emerged as a powerful model for modeling data-intensive grid problem, Task Data Present (TDP) model was proposed based on it. This study presented a new Adaptive TDP (ATDP) for scheduling … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 8,433 accessesView PDF Cite

Research ArticleOpen accessIn the abstractApplying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic ChallengeMohamed El-Dosuky, Sherif K. Ratib et al.The rapid growth of IoT ecosystems has transformed digital forensics, creating challenges in analyzing distributed, heterogeneous, and uncertain evidence. Conventional forensic methods often struggle to handle ambiguous and conflicting IoT data, highlighting the need for robust frameworks that effectively manage uncertainty across multiple evidence sources. This research presents a hybrid forensic framework that integrates Dempster Shafer Theory (DST) for probabilistic … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 888 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEffect of Leucaena leucocephala Protein Supplement on Nutrient Intake, Milk Yield and Quality, Hematology, Metabolites and Economy Efficiency in Etawah Crossbreed GoatsIdat Galih Permana, Salwa Iffat Zahidah Arif, Fajar Rezki Pambudi et al.Legumes, such as Leucaena leucocephala (LL), have high protein and Rumen degradable Protein (RUP) content, so adding legumes to the diet of dairy goats can meet the protein requirements for milk synthesis. However, the addition of LL alone is insufficient to meet the RUP requirement of dairy goats, thus requiring other protein sources. LL Protein Supplement (LLPS) is a feed … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 23 Aug 2025 · 5,345 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPropose a System of Collecting and Analyzing Casual Labor Data in Libya Based on Distributed Systems and Weka VisualizationMagda Shuayb, Ashraf Fadiel, Taher Abu-LebdehThe aim of this research is to propose a system for collecting and analyzing casual labor data in Libya, leveraging distributed systems and the Weka visualization tool. The current labor market in Libya relies heavily on casual labor, which poses challenges in terms of data collection and analysis due to its decentralized nature. The proposed system aims to address these … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 4 · 8 Jan 2024 · 4,885 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDesign of a Synchronous Reference Frame Controlled Fuzzy Logic Based Distribution Static Compensator to Enhance Distribution System Power QualityRekha Sampath, Lokesh Mallaiah, Ashwini A V et al.The demand for enhanced power quality in distribution systems has increased due to the widespread utilization of various AC loads, including rectifiers, inductive loads, and variable speed drives. When these nonlinear loads are combined with renewable energy sources, harmonics are introduced in the system. These can affect the way other equipment in the network works and leave the system vulnerable … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,710 accessesView PDF Cite

Research ArticleOpen accessIn the abstractWeb Based Multi Feature Propagation Analysis Model for Efficient Disease Interference and Recommendation Using Deep LearningM. Manoj Kumar, R. SivaAccurate prediction of chronic diseases is critical for proactive healthcare management. This paper proposes a Multi-feature Propagation Analysis-based Deep Learning Model (MPADM) to address this challenge. The model integrates diverse patient data, including medical, diagnostic, genetic, and historical features, collected from multiple sources. After preprocessing, the network is trained to calculate distinct Propagation Weights (PWs) for each feature category, Diagnosis … …Journal of Computer Science, Vol. 21, Issue 11 · 29 Jan 2026 · 1,709 accessesView PDF Cite

Review ArticleOpen accessIn the abstractWeb Scraping for Product Recommendations: A Review of Techniques and ApplicationsAmarinder Kaur, Deepak PrasharA comprehensive method for developing a reliable product recommender system leveraging sophisticated web scraping technologies, machine learning, and natural language processing techniques. The proposed system addresses key challenges in personalized product recommendation, including the difficulty of integrating diverse data from multiple e-commerce platforms, ensuring data quality, and improving recommendation accuracy to enhance user experience. Specifically, this research tackles issues related … …Journal of Computer Science, Vol. 21, Issue 6 · 21 Jun 2025 · 4,225 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 · 5,534 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThe Role of Per Capita GDP in Intergenerational Mobility in Education: A Cross-Country StudyLida Fan, Meiying Zheng, Rong Luo, Alena AuchynnikavaThis study investigates the mechanism of how per capita GDP impacts intergenerational mobility in education. We propose an analytic framework in which per capita GDP affects educational mobility through government spending on education and other channels. Following this framework, this study conducts five-round estimations to examine the connections among per capita GDP, educational mobility, and government expenditure on education, using … …Journal of Social Sciences, Vol. 21, Issue 1 · 4 Feb 2025 · 8,194 accessesView PDF Cite