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54 articles for “C. Prema”
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Research ArticleOpen accessIn the author namesAutomatic Digitization of Engineering Diagrams using Intelligent AlgorithmsPremanand Ghadekar, Shaunak Joshi, Debabrata Swain et al.At present usage of computational intelligence became the ultimate need of the heavy engineering industries. Digitization can be achieved in these sectors by scanning the hard copy images. When older documents are digitized are not of very high fidelity and therefore the accuracy, reliability of the estimates of components such as equipment and materials after digitization are remarkably low since … …Journal of Computer Science, Vol. 17, Issue 9 · 28 Sep 2021 · 7,062 accessesView PDFCite
Review ArticleOpen accessIn the author namesA Review on Eco-Restoration of Rivers with Special Focus on Industrial Wastewater TreatmentK Srividya, Godwin Glivin, V Sreeja, M PremalathaRivers are the lifeline of an ecosystem, since every member of the ecosystem depends directly or indirectly upon them for their sustenance. Changes in the riparian conditions would strongly impact the ecosystem-to-organism interactions and inter-organism interactions. Due to lack of regulations and widespread use of technology for industrial wastewater treatment, most of the industrial discharge ends up in the river. … …Energy Research Journal, Vol. 12, Issue 1 · 12 Jan 2021 · 7,168 accessesView PDFCite
Research ArticleOpen accessIn the author namesMISSING DATA IMPUTATION USING WEIGHTED OF REGIME SWITCHING MEAN AND REGRESSIONJumlong Vongprasert, Bhusana PremanodeMissing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. The purpose of this work were first to develop the Weighted of Regime Switching Mean and Regression (WRSMRI) for missing data estimation and secondly to compare its efficiency of estimation and statistical power of a … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 3 May 2014 · 6,707 accessesView PDFCite
Research ArticleOpen accessIn the author namesFINGER KNUCKLE-PRINT IDENTIFICATION BASED ON LOCAL AND GLOBAL FEATURE EXTRACTION USING SDOSTN. B. Mahesh Kumar, K. PremalathaFinger knuckle-print biometric system has widely used in modern e-world. The region of interest is needed as the key for the feature extraction in a good biometric system. The symmetric discrete orthonormal stockwell transform provides the computational efficiency and multi-scale information of wavelet transforms, while providing texture features in terms of Fourier frequencies. It outperforms leading wavelet-based texture analysis methods. … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 6,931 accessesView PDFCite
Research ArticleOpen accessIn the author namesA NOVEL MULTICLASS SUPPORT VECTOR MACHINE ALGORITHM USING MEAN REVERSION AND COEFFICIENT OF VARIANCEBhusana Premanode, Jumlong Vongprasert, Nop Sopipan, Christofer ToumazouInaccuracy of a kernel function used in Support Vector Machine (SVM) can be found when simulated with nonlinear and stationary datasets. To minimise the error, we propose a new multiclass SVM model using mean reversion and coefficient of variance algorithm to partition and classify imbalance in datasets. By introducing a series of test statistic, simulations of the proposed algorithm outperformed … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 31 Jul 2013 · 6,937 accessesView PDFCite
Research ArticleOpen accessIn the author namesForecasting the Stock Exchange of Thailand uses Day of the Week Effect and Markov Regime Switching GARCHP. Sattayatham, N. Sopipan, B. PremanodeProblem statement: We forecast return and volatility of the Stock Exchange of Thailand (SET) Index. Approach: In this study, we modeled the SET Index returns using mean equation with day of the week effect and autoregressive moving-average. Next we forecast the volatility of the SET Index by using the GARCH-type model and the Markov Regime Switching GARCH (MRS-GARCH) model. Results: … …American Journal of Economics and Business Administration, Vol. 4, Issue 1 · 15 Mar 2012 · 7,868 accessesView PDFCite
Research ArticleOpen accessIn the author namesCongestion Control in Wireless Ad Hoc Networks by Enhancement of Transmission Control ProtocolN. Premalatha, A. M. NatarajanProblem statement: Transmission Control Protocol is the Internet’s most widely used transport control protocol. TCP’s strength lies in the adaptive nature of its congestion avoidance and control algorithm and its retransmission mechanism. In TCP Vegas rerouting (a path), which change the propagation delay of the connection and this may be able to result in a substantial decrease in through put. … …Journal of Computer Science, Vol. 7, Issue 12 · 17 Oct 2011 · 6,690 accessesView PDFCite
Research ArticleOpen accessIn the author namesFormulation and Evaluation of a Novel Needle-Free Hepatitis B Surface Antigen Delivery SystemC. D. Licy, K. Premalatha, Annie Shirwaikar, Arun ShirwaikarProblem statement: Hepatitis B is a major public health problem, killing 1-2 million people annually, despite the introduction of an effective vaccine in 1982. Approximately 400 million persons worldwide have chronic hepatitis B. This is due to problems associated with vaccine delivery, stability and cost. Hence the present challenge in Vaccinology is to develop safer, cheaper and easy-to-deliver forms of … …Current Research in Medicine, Vol. 1, Issue 2 · 30 Oct 2010 · 6,821 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Weighting Technique Based Arctic Puffin Optimization for Energy Efficient Data Transmission in Wireless Sensor NetworksM. Bharathraj Kumar, S. Avinash, Prakash G. Gani, Prathapchandra ShettyWireless Sensor Networks (WSNs) are designed using various sensor nodes, which are employed for communication in diverse applications that include healthcare, industrial areas, and smart cities. Specifically, WSNs demand energy-efficient clustering and routing mechanisms that assist in extending network lifetime due to the limited battery capacity of sensor nodes. However, many existing meta-heuristic-based approaches incorporate fixed objective weights that struggle … …Journal of Computer Science, Vol. 22, Issue 9 · 10 Sep 2026 · 774 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Cloud Load Balancing Using Deep Q-Learning With Inverted S-Shaped Hierarchical Reverse Superb Fairy-Wren OptimizationB. R. Yogeetha, S. P. AnandarajCloud computing offers a scalable and cost-effective platform by providing on-demand access to shared computational resources. However, effective load balancing is essential to maintain optimal performance and maximize resource utilization for ensuring even distribution of network traffic across servers, preventing overload, improving response time and enhancing the system reliability. This manuscript proposes the Deep Q-Network with Inverted S-shaped Hierarchical Reverse … …Journal of Computer Science, Vol. 22, Issue 6 · 4 Jun 2026 · 1,504 accessesView PDFCite