Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

275 articles for “Model Comparison”
Set a search alert
Research ArticleOpen accessPhrase in the titleModel Comparison for the Prediction of Stock Prices in the NYSEVictoria Switlyk, Junfeng ShangThe stock market is an integral part of investments as well as the economy. The prediction of stock prices is an exciting and challenging problem that has been considered by many due to the complexity and noise within the market and to the potential profit that can be yielded from accurate predictions. We aim to construct and compare models used … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 26 Sep 2019 · 7,475 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparison Study between Different Sampling Strategies for Intrusion Detection System of Active Learning ModelGhofran Mohammad Alqaralleh, Mohammad Aref Alshraideh, Ali AlrodanActive learning aims to train an accurate model with minimum cost by labeling the most informative instances without compromising the model performance. So, choosing an efficient criterion for instance selection is the most important step. Sampling stage is the main issue in active learning for many problems such as intrusion detection system. There are many methods for sampling stage to … …Journal of Computer Science, Vol. 14, Issue 8 · 26 Aug 2018 · 8,183 accessesView PDFCite
InvestigationOpen accessEvery word in the titleComparison of Green Roof Model Predictions with Experimental DataSergio Quezada-García, Manuela Azucena Escobedo-Izquierdo, Juan José Ambriz-García et al.In this study, the results of a green roof model are presented and compared with experimental data. Good agreement between simulation and experiment were found for different experimental conditions that were carried out in a controlled environment laboratory. The study of green roof heat transfer processes is important because it allows a better thermal design in buildings; the use of … …Energy Research Journal, Vol. 6, Issue 1 · 14 Jul 2015 · 7,225 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Comparison of Sub Phonetic Model with Input Signal ProcessingDr E. Ramaraj, E. ChandraThe quest to arrive at a better model for signal transformation for speech has resulted in striving to develop better signal representations and algorithm. The article explores the word model which is a concatenation of state dependent senones as an alternate for phoneme. The Research Work has an objective of involving the senone with the Input signal processing an algorithm … …Journal of Computer Science, Vol. 2, Issue 7 · 31 Jul 2006 · 6,291 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Comparison of Two On-demand Routing Protocols for Ad-hoc Networks based on Random Way Point Mobility ModelGeetha Jayakumar, G. GopinathAd hoc networks are characterized by multihop wireless connectivity, frequently changing network topology and the need for efficient dynamic routing protocols plays an important role. We compare the performance of two prominent on-demand routing protocols for mobile ad hoc networks: Dynamic Source Routing (DSR), Ad Hoc On-demand distance Vector Routing (AODV). A detailed simulation model with MAC and physical layer … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,692 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Estimation of Logistic Probability Model of Binomial Data: Simulation ComparisonZaki. J. Al- Sarraf, Faris M. Al- Athari, Hilmi F. KittaniProperties of various types of estimators of the regression coefficients in linear logistic regression models were considered. The estimators include those based on maximum likelihood, minimum chi-square and weighted least squares. The results of a large scale simulation investigation evaluating the moment properties of the estimators are presented for the case of logistic model with a single explanatory variable. …Journal of Mathematics and Statistics, Vol. 4, Issue 2 · 30 Jun 2008 · 6,690 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerson Re-Identification From Video Surveillance Systems Using Artificial Intelligence MethodsRevathi Lavanya Baggam, Vatsavayi Valli KumariThe study explores use of deep learning models in person re identification, leveraging the advancements made in face recognition however the abundance of model choices presents a challenge in selecting the optimal architecture. The study proposes a comprehensive framework for evaluating deep learning models on person re-identification tasks by considering various performance metrics, dataset preprocessing methods, model architectures, and evaluation … …Journal of Computer Science, Vol. 21, Issue 8 · 19 Sep 2025 · 4,836 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffectual Deep Learning Based Digital Image Forgery Detection Model Using Ameliorate CNN, VGG 16 and VGG 19 for Copy Move and Image Splicing Classification With Enhanced PerformancePreeti Dhiman, Usha ChauhanIn this research, a pioneer passive approach for detecting and localizing tampering in images is proposed. In the past, image forgeries have created a huge impact in the world. Developments of various image processing technologies made it easier to tamper images with the objective to cover up or hide a significant feature in an image. In some situation, such as … …Journal of Computer Science, Vol. 22, Issue 10 · 3 Oct 2026 · 568 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Dynamic Lifelong Learning Network for Real-Time Stock Prediction With Reinforcement TuningTalent Mawere, Selvaraj Rajalakshmi, Venu Madhav Kuthadi, Otlhapile DinakanyaneCompanies and investors require accurate market forecasting to make more informed decisions. Traditional methods for predicting stock market performance have become less useful considering the dynamic and volatile nature that characterizes stock markets today. In this paper, we propose an innovative Dynamic Lifelong Learning Network for stock market prediction. The model incorporates a hybrid convolutional long short-term memory with an … …Journal of Computer Science, Vol. 22, Issue 2 · 20 Feb 2026 · 1,822 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Fraud in Accidental and Healthcare Insurance Using Local Outlier Factor: A Machine Learning ApproachJyoti Lele, Vaidehi Deshmukh, Abhinav Chandra, Radhika DesaiAn unsupervised machine learning model that uses the mechanism of the Local Outlier Factor to flag and detect ambiguous as well as potentially fraudulent claims in Accidental and Healthcare insurance is proposed in this paper. It entirely automates the manual investigation of claims by claim appraisers in any organization. The ethos of this model is to comprehensively automate and expedite … …Journal of Computer Science, Vol. 21, Issue 12 · 22 Jan 2026 · 1,575 accessesView PDFCite