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157 results for “Hybrid network”
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Research ArticleOpen accessEvery word in the titleImproved Coupled Tank Liquid Levels System Based on Swarm Adaptive Tuning of Hybrid Proportional-Integral Neural Network ControllerM.S. Ramli, RM.T. Raja Ismail, M.A. Ahmad et al.Problem statement: Accuracy and stability of many systems in chemical and process industries which has Two-Input Two-Output (TITO) is one of the key factors of process which have cross coupling between process input and output. Approach: Unlike traditional neural network weight adaptation using gradient descent method, Particles Swarm Optimization (PSO) technique was utilized for adaptive tuning of neural network weights … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,822 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnt Colony Based Node Disjoint Hybrid Multi-path Routing for Mobile Ad Hoc NetworkB. Kalaavathi, K. DuraiswamyMobile Ad hoc Networks are characterized by multi-hop wireless links, without any infrastructure and frequent node mobility. A class of ant colony based routing protocols has recently gained attention because of their adaptability to the network changes. AntHocNet is ant colony based hybrid algorithm, which combines reactive path setup with proactive path probing, maintenance and improvement. Multi-path routing represents a … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,043 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpeaker Identification: A Hybrid Approach Using Neural Networks and Wavelet TransformMuzhir Shaban Al-Ani, Thabit Sultan Mohammed, Karim M. AljeboryIn speaker identification systems, a database is constructed from the speech samples of known speakers. The approach implemented in this paper is hybrid, where the wavelet transform and neural networks are used together to form a system with improved performance. Features are extracted by applying a discrete wavelet transform (DWT), while a neural network (NN) is used for formulating the … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 7,072 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Type of Network Security Protocol Using Hybrid Encryption in Virtual Private NetworkingE. Ramaraj, S. KarthikeyanToday wireless communications is acting as a major role in networks. Through year-end 2006, the employee's ability to install unmanaged access points will result is more than 50% of enterprises exposing sensitive information through the wireless virtual private networks (VPN). It enables you to send the data between two computers across a shared or public network in a manner that … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 6,788 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid Hot Strip Rolling Force Prediction using a Bayesian Trained Artificial Neural Network and Analytical ModelsAbdelkrim Moussaoui, Yacine Selaimia, Hadj A. AbbassiThe authors discuss the combination of an Artificial Neural Network (ANN) with analytical models to improve the performance of the prediction model of finishing rolling force in hot strip rolling mill process. The suggested model was implemented using Bayesian Evidence based training algorithm. It was found that the Bayesian Evidence based approach provided a superior and smoother fit to the … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Jun 2006 · 7,135 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Fuzzy Neural Networks for the Detection of Tumors in Medical ImagesN. Benamrane, A. Freville, R. NekkacheIn this study, we propose an approach to detect suspect zones or tumors in medical images. The idea is to define with precision the existence of different kinds of lesions using a hybrid system, which combines Fuzzy Neural Networks and Expert System. After applying a method of image segmentation to extract regions (by region growing algorithm or by mathematical morphology … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,873 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA NOVEL HYBRID NODE LOCALIZATION ALGORITHM FOR WIRELESS SENSOR NETWORKSLiu Yu, Wang Haipeng, He You, Shen JianNode self-localization is one of the supporting technologies in Wireless Sensor Networks (WSNs). In this study, a distributed hybrid localization algorithm based on divide-and-conquer and refinement method is proposed. Firstly, the effect of ranging error in the Received Signal Strength (RSS) model on node localization is analyzed and the topology relations of anchors and unknown nodes are derived when the … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,878 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 749 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTowards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and ClassificationKamini Lamba, Shalli RaniThe abnormal growth of brain cells leads to tumor formation, which can be fatal if not detected and treated promptly. Given the complexity of brain tumors, early detection is critical in healthcare. Traditional radiology-based tumor detection is prone to human error and delays. Hence, a computer- assisted method is needed for accurate and efficient diagnosis. With the rapid advancements in … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,427 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,223 accessesView PDFCite