14 results for “SVR”

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Research ArticleOpen accessIn the keywordsAn Efficient Age Estimation System based on Multi Linear Principal Component AnalysisV. Tamil Selvi, K. VaniProblem statement: Human age estimation is an active research topic in computer vision. A vital characteristic in establishing identity of the person is the age. Age estimation from face images continues to be an extremely challenging task compared to other cognition problems. Age is a crucial factor in ascertaining the identity of a person. Age is estimated from the human … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 6,480 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEvaluation of Machine Learning Models to Predict Student Academic Performance Using Structured Educational DataHardik Ishwarbhai Patel, Dharmendra PatelThis study analyses the use of machine learning for predicting the academic performance of students using their academic information from the institution, combined with socio-economic information that comes from outside sources. The collection of information is done using structured questionnaires as well as through data extraction from the Student Information System (SIS). To increase the reliability of models built, a … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,419 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEcological Function Evaluation of Soil and Water Conservation Measures for Power Transmission and Transformation Project Construction Based on Remote Sensing and it’s Improvement PathYang Han, Songsong Wang, Yanhui Yang et al.Assessing ecological functions is critical for determining the efficacy of soil and water conservation measures, especially during the development of power transmission and transformation projects. Efficient conservation practices are essential for reducing ecological effects and guaranteeing sustainable development. This research aims to create a resilient model, Ecological Function Prediction for Conservation Effectiveness (EFP-CE) that will classify conservation effectiveness as either … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 17 Mar 2025 · 7,725 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCooling Load Prediction in the Under-Actuated Zone with Multilayer Perceptron Artificial Neural NetworkYaddarabullah, Aedah Abd Rahman, Amna SaadThis study focuses on addressing the challenge of predicting cooling loads in under-actuated zones, where the variability in occupant behavior, environmental conditions, and electronic usage creates complex dynamics. Traditional models like Support Vector Regression (SVR) and E-Lastic-Net (ELN) often struggle to capture these non-linear relationships, leading to inefficient Heating, Ventilation, and Air Conditioning (HVAC) management and increased energy consumption. To … …Journal of Computer Science, Vol. 21, Issue 3 · 27 Jan 2025 · 5,300 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Multi-Split Cross-Strategy for Enhancing Machine Learning Algorithms Prediction Results with Data Generated by Conditional Generative Adversarial NetworkAbdelfattah Abassi, Brahim Bakkas et al.In this study, we present a Multi-Split Cross-Strategy (MSC-Strategy) designed to leverage synthetic tabular data generated by a Conditional Generative Adversarial Network (CGAN). Our study aims to investigate the potential of synthetic data in comparison to real-world data for improving machine learning predictive results. Firstly, we develop a CGAN architecture tailored to generate synthetic tabular data, trained on a comprehensive … …Journal of Computer Science, Vol. 20, Issue 7 · 9 Apr 2024 · 6,695 accessesView PDF Cite

Research ArticleOpen accessIn the abstractForecasting of Multistep Multivariate Financial Data Through GSO Algorithm Infused Vanilla LSTM ModelNikhitha Pai, Ilango Velchamy, Nithya B RameshPredicting time series in the financial domain requires using models that can do sequence processing tasks. One such model is the LSTM model which belongs to the family of deep learning networks. The performance measure of LSTM in a regression task is to bring down the error in the predicted values. In this study, a novel fused LSTM model integrating … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 6,074 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDirect Acting Anti-Viral Drugs Improve Health-Related Quality of Life in Patients' with Hepatitis CWesam Morad, Warda Othman, Esam Elshimi, Nashwa SheblChronic hepatitis C Virus (HCV) causes significant decline in the Health Related Quality of Life (HRQL). Recently, direct Acting Anti-viral Drugs (DAA) have been endorsed as standard of care for treatment for HCV. To study the HRQL in patients with HCV and cirrhosis before and after DAA. Study design: Prospective cohort hospital based study. We included 500 patients with HCV … …American Journal of Infectious Diseases, Vol. 16, Issue 2 · 29 Apr 2020 · 7,145 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMulti-Phase Support Vector Regression Soft Sensor for Online Product Quality Prediction in Glutamate Fermentation ProcessRongjian Zheng, Feng PanGlutamate fermentation is inherently nonlinear, multi-phase and an aerobic fermentation process. As long measurement delays and expensive apparatus cost, on-line measurement of the product concentration is not necessarily available. The present fermentation process monitoring and quality prediction involve manual interpretation of highly informative, however, the concentrations of substrates, biomass and products are only low frequency off-line measurements. In this paper, … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 2 · 6 Jun 2017 · 8,067 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThe Association of HLA Class II Alleles with the Response to Alfa-Interferon/Ribavirin Therapy in Chronic Hepatitis C PatientsAwny Aly Abol-Ez Gawish, Nahla Abd El-Hamid Mohammed, Rasha Adel Sayed Ahmed Hussein, Elsaid Galal El-BadrawyHuman Leucocyte Antigens (HLA) class II appears to play an important role in the individual’s immune response to viral infection. The present study was aimed at assessment of the relationship between HLA DRB1 alleles and the response to HCV combined therapy in Chronic Hepatitis C patients (CHC). We enrolled a total of 44 chronically infected HCV patients without Hepatitis B … …American Journal of Immunology, Vol. 11, Issue 3 · 12 Nov 2015 · 6,700 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFactors Affecting the Response to Interferon Alpha Therapy in Egyptian HCV PatientsNaglaa F. Alhusseini, Fathy M. Serry, Ashraf A. Kadry, Heba KhairyHepatitis C Virus (HCV) infection is one of the main causes of chronic liver disease worldwide. Egypt has the highest prevalence of Hepatitis C Virus (HCV) in the world, estimated nationally at 14.7%. knowledge of the predictors of Sustained Viral Response (SVR) to Pegylated Interferon (PEG-INF) and Ribavirin (RBV) therapy in patients with chronic hepatitis C is crucial for selecting … …American Journal of Immunology, Vol. 11, Issue 3 · 30 Sep 2015 · 6,619 accessesView PDF Cite