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185 results for “In-Network Processing”
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Research ArticleOpen accessIn the keywordsArtificial Neural Network Based Model for Forecasting Sugar Cane ProductionO. O. Obe, D. K. ShangodoyinProblem statement: The global need for alternative energy source has necessitated the exploration of vast organic agricultural products with a view of processing them for the production of ethanol in commercial quantity. To ascertain a sustainable production of ethanol from processed sugar cane, a predictive model based on non-linearity nature of its production is imperative. This is due to unavailability … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,268 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCross Layer Optimization Based on Rate Distribution in Multirate Wireless Sensor NetworkHonggang Wang, Dongming Peng, Wei Wang, Hamid SharifIt is important to increase the Wireless Sensor Network (WSN) lifetime, due to its limited energy resource, while meeting the constraints of applications. Recent Advances for In-Network Processing (INP) motivate many WSN applications which are based on multi rate and distributed signal processing, and therefore require the support of rate-based routing as well as MAC and link layer designs to … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 6,552 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFake News Detection Using Weighted Fine-Tuned BERT and Sparse Recurrent Neural NetworkAsha Kathigi, Mukta Pujar, A M S Akshatha et al.Fake news refers to misinformation or false reports shared in the form of images, articles, or videos, disguised as real news to manipulate people’s opinions. Recently, fake news and rumors have spread extensively and rapidly around the world. This has led to the production and propagation of inaccurate news articles. Therefore, it is necessary to restrict the spread of fake … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,087 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEarly Plant Disease Detection Using Graph Isomorphic Networks: Enhancing Crop Yield Through Leaf AnalysisD. Sumathi, Sreejyothsna Ankam, Pravin Prakash Adivarekar et al.The economy of Tanzania is mostly driven by agriculture. Disease is one of the reasons that contributes to the low production of staple foods like cassava and maize, alongside climate change. Loss of income and food security are the results. In order to detect the diseases early, preventative measures are required. A potential option for farmers could be the use … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 3,101 accessesView PDFCite
Research ArticleOpen accessIn the keywordsResearch on Deep Neural Network for Afaan-Oromo Language Text-to-Speech SynthesisDiriba Gichile Rundasa, Arulmurugan Ramu, Teshome Debushe Adugna et al.Text-to-speech synthesis is the automatic translation of unlimited natural language sentences from Text to spoken form that closely mimics the spoken form of the same Text by a native speaker of the language. The purpose of a Texttext-to-speech synthesizer is to generate comprehensible, natural signalling human voice from text transcriptions. Despite the wide range of potential applications for Text-to-speech systems, … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 7,346 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Robust Ensemble Convolutional Neural Networks for Diagnosing Chest DiseasesMansour Ali Alhlalat, Ahmad Abdel-Aziz Sharieh, Mohammed Belal Al-ZoubiRadiologists employ X-ray images to differentiate various chest diseases. Given the intricate and meticulous nature of this diagnostic procedure, the assistance of automated models becomes imperative in detecting and diagnosing diseases from X-ray images. This research paper proposed a novel approach called Ensemble Convolutional Neural Network for Diagnosing Chest Diseases (ECDCNet), aimed at accurately and efficiently diagnosing fifteen different chest … …Journal of Computer Science, Vol. 19, Issue 12 · 27 Oct 2023 · 5,104 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEpoxy Insulators’ Lifetime Prediction Implementing Neural Network TechniqueL. S. Nasrat, A. M. IbrahimDue to wide implementation of Epoxy insulators in industrial applications and its economic implications; development of various Epoxy insulator materials has to be evaluated along with a reliable prediction methodology of their lifetimes. In this study, a new methodology based on Artificial-Neural-Networks (ANN) is developed to predict Epoxy insulators lifetime using laboratory measurements of their surface leakage current under accelerated … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 2 · 7 Aug 2012 · 7,787 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Study of the Production Rules for Context Inference of Wetland Water Quality on Ubiquitous Sensor Network Middleware FrameworkSo-Young Im, Ryum-Duck OhProblem statement: With gradually increasing movement to live together with nature, artificial wetlands are increasing as well. And the wind of change blows at the rivers and streams, thereby increasing the need for management systems. Conclusion/Recommendations: Accordingly, this study aims to design production rules for wetland environment context inference and establish application system by using JESS and the rule-based system … …Journal of Computer Science, Vol. 8, Issue 3 · 13 Jan 2012 · 6,851 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCache Based Distributed Query Processing in Mobile Ad hoc NetworksT. P. Andamuthu, P. BalasubramanieProblem statement: In the last few years, the evolution of the mobile networks leads to the query processing in mobile computing an impressive research area. The mobile computing technology needs to offer more and different innovative services as the number of users of the mobiles were increasing. In this regard, this study proposed a new algorithm which increased the performance … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,758 accessesView PDFCite
Research ArticleOpen accessIn the keywordsProgressive Content-Sensitive Data Retrieval in Sensor NetworksBo Yang, Manohar MareboyanaProblem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data) has been considered as a challenging task due to the lack of infrastructures and the multiple limitations (such as band-width, storage and energy). While the past research discussed much on routing protocols for sensor networks, few works have … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 6,845 accessesView PDFCite