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649 articles for “network model”
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Research ArticleOpen accessIn the keywordsA Comparison between Different Data Mining Algorithms in Freight Mode ChoiceAmir Samimi, Hesamoddin Razi-Ardakani, Amir NohekhanThis research aims to study application of support vector machine algorithm, artificial neural networks and five different types of decision trees in predicting mode choice of freight transportation. Performance of these models has been compared with log it model which is one the most prevalent statistical models in the field. Effect of factors such as cargo weight, distance, type and … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 5 Feb 2017 · 7,626 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMATERIAL PARAMETER OF RUBBER GLOVE VULCANIZED USING COMBINED INFRARED AND HOT-AIR HEATINGTipapon Khamdaeng, Numpon Panyoyai, Thanasit WongsiriamnuayVulcanization is an important chemical-thermal process in production of rubber products resulting in change of material properties, increased elasticity and strength. In general, Young’s modulus is used as an indicator of elastic deformation at loading configuration. However, rubber is not truly elastic and a single parameter is insufficient to describe the whole deformation contributed by microstructure of rubber network. Therefore, … …American Journal of Applied Sciences, Vol. 11, Issue 4 · 8 Feb 2014 · 7,310 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGeneralization Aspect of Neural Networks on Upgrading Assimilation Structure into Accommodating SchemeWaleed, A. J. Rasheed, Hamza A. AliProblem statement: Generalization feature enhancement of neural networks, especially feed forward structural model has limited progress. The major reason behind such limitation is attributed to the principal definition and the inability to interpret it into convenient structure. Traditional schemes, unfortunately have regarded generalization as an innate outcome of the simple association, referred to by Pavlov and had been modeled by … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,152 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDiscrete Simulation Framework for Wireless Cellular NetworksM. Al-Sanabani, S. Subramaniam, M. Othman, Z. ZukarnainThe aim of the discrete simulation framework is to deal with issues of the next generation of wireless cellular networks (e.g., multimedia traffic, radio resource management and mobility... etc) and to provide a platform for current and future investigations involving wireless cellular networks. The simulator is built from the scratch to enable customization requirements of any research and to provide … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,072 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUPLC-Q-Exactive Orbitrap-MS Analysis of Anchusa italica Retz. Flowers: Molecular Docking, Dynamics Modeling, and Pharmacokinetics for Cardiovascular DiseaseLinyang Wang, Yan Chen, Ainiwaer Aikemu, Shuge TianThis study builds on prior UPLC-Q-Exactive Orbit rap-MS analyses of Anchusa italica Retz. Flowers (Airfs) to explore their anti-cardiovascular mechanis·ms and key bioactive markers. UPLC-Q-Exactive Orbitrap-MS identified 30 major compounds, including polyphenols and flavonoids with strong antioxidant activity. The potential active ingredients were then screened using Lipinski's rule of five, and a network pharmacology method was employed to construct an … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Oct 2025 · 2,601 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Vertical Stacking-Based Ensemble Deep Learning Model for Early Diagnosis of Alzheimer's Disease Using Multimodal MRI ScansParvatham Niranjan Kumar, Lakshmana Phaneendra MaguluriEarly detection of Alzheimer's Disease (AD) is crucial for timely interventions that can slow disease progression, enhance quality of life, and assist with future planning. Convolutional Neural Networks (CNNs) are an efficient method for processing image-based data. In this work, we used CNN-based deep learning models to extract structural information from structural MRI (sMRI) and brain neuron connectivity patterns from … …Journal of Computer Science, Vol. 21, Issue 6 · 14 Jun 2025 · 3,106 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArtificial Neural Network in Face Detection Human on Digital ImageAbdusamad Al-MarghilaniMethod itself is proposed to be formed by series of filters. Each filter is an independent method of detection and allows you to cut off quickly the regions that do not contain the face’s areas. For this purpose some of the different characteristics of the object are used in addition each subsequent part processes only promising areas of image which … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 6 Sep 2013 · 6,694 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArtificial Bee Colony based Energy Aware and Energy Efficient Routing ProtocolP. Visu, S. Koteeswaran, J. JanetProblem statement: Network becomes very important technology in the day to day life style of modern computer era, in which the wireless communication become very popular for the last few years. In the same manner, the other wireless network, i.e., ado network is very popular among the researchers in the past few decades. Approach: The Ad hoc networks are defined … …Journal of Computer Science, Vol. 8, Issue 2 · 19 Jan 2012 · 7,098 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLandslide Susceptibility Assessment using Frequency Ratio Model Applied to an Area along the E-W Highway (Gerik-Jeli)Tareq H. Mezughi, Juhari Mat Akhir, Abdul Ghani Rafek, Ibrahim AbdullahProblem statement: The study area is frequently subjected to landslides especially alongside the E-W high way. This study demonstrates the implementation of the Frequency Ratio (FR) model with the aid of GIS tool to assess the contribution of every predisposing factor on landslides and produce a landslide susceptibility map to the area. Approach: A landslide location map of the study … …American Journal of Environmental Sciences, Vol. 7, Issue 1 · 28 Feb 2011 · 9,099 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance Analysis of Rejection Ratio in Cost Optimized Virtual Private Networks Provisioning Algorithm (COVPA) Using Waxman and Barabasi Model in Cyber SpaceRamanathan Rajasekar, Ramaraj Ravi, Beulah ShekharProblem statement: Virtual private networks have provided customers with a secure and low-cost communication environment. Approach: The COVPA, the provisioning algorithm for a Virtual Private Network service, which built and managed VPNs on demand. Results: The COVPA allowed each VPN to have guaranteed resources and customized control and supported a highly dynamic VPN service where creation and modification operations took … …Journal of Computer Science, Vol. 8, Issue 2 · 28 Nov 2011 · 7,127 accessesView PDFCite