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221 results for “Hybrid Model”
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Review ArticleOpen accessEvery word in the titleNews in Bone Modeling for Customized Hybrid Biological Prostheses DevelopmentRelly Victoria Virgil Petrescu, Raffaella Aversa, Valeria Perrotta et al.The complex biomechanics and morphologies of the femur proximal epiphysis are presented. The nature and fine morphology of the femur head and its structural behavior have been investigated. Isotropic and orthotropic trabecular structures have been associated with oriented compression and tensioned areas of the femur head FEM models. These isotropic/orthotropic trabecular morphologies and their allocations govern the stress and strain … …OnLine Journal of Biological Sciences, Vol. 21, Issue 2 · 14 Jun 2021 · 6,353 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Decision-Making Model for Maintenance Prioritization in Health Care SystemsHassana Mahfoud, Abdellah El Barkany, Ahmed El BiyaaliClinical engineering departments have to establish and continuously regulate a Medical Equipment Management Program (MEMP) to ensure a high reliability and safety of their critical medical devices. Asset criticality assessment is an essential element of reliability centered maintenance and risk-based maintenance, especially when enormous various devices exist and the worst failure consequences are not evident. This paper presents a new … …American Journal of Applied Sciences, Vol. 13, Issue 4 · 28 Apr 2016 · 8,682 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSimulation of Wind Field in Tehran Using Hybrid Diagnostic and Prognostic ModelsM. Shafie-Pour, Y. Rashidi, M. ArdestaniThis article concentrates on Wind Field Simulation in a mega city such as Tehran which is home to nearly 10 million inhabitants. The necessity of having a comprehensive knowledge about the wind field in a certain zone is significant for different reasons; the most important of all would be surveying on the emission and dispersion of pollutants. The wind models … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 6,690 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,042 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Learning Models for Predicting Stock Closing Prices in the Saudi Stock MarketAreej Alhumaidi, Hoda A. AbdelhafezFinancial time series data are inherently volatile and nonlinear, presenting considerable challenges in accurately forecasting stock market trends. This study aims to predict the closing prices of companies listed on the Saudi stock market by analyzing historical data spanning from 2013 to 2023. To this end, four deep learning models were employed-Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Gated Recurrent … …Journal of Computer Science, Vol. 22, Issue 4 · 22 Apr 2026 · 1,363 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,120 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Analysis of Hybrid Tool Estimator: An Integration of Risk with Software EstimationJ. Frank Vijay, C. ManoharanProblem statement: One important problem with software development projects is to get an early and nevertheless accurate estimation of the effort needed to complete the project within the schedule. In the literature various methods have been developed for this purpose. The most popular examples are Boehm’s COCOMO, Albrecht’s Function Point Method or Sneed’s object-point method. The two last named methods … …Journal of Computer Science, Vol. 7, Issue 11 · 25 Aug 2011 · 6,754 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Scheduling Algorithm Based on Petri Nets and Simulated AnnealingRachida Hadiby Ghoul, Abdelhamid Benjelloul, Sihem Kechida, Hicham TebbikhThis study aims at presenting a hybrid Flexible Manufacturing System "HFMS" short-term scheduling problem. Based on the art state of general scheduling algorithms, we present the meta-heuristic, we have decided to apply for a given example of HFMS. That was the study of Simulated Annealing Algorithm SA. The HFMS model based on hierarchical Petri nets, was used to represent static … …American Journal of Applied Sciences, Vol. 4, Issue 5 · 31 May 2007 · 7,168 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSpatio-Temporal Anomaly Detection in Groundwater Electrical Conductivity Using a Hybrid Framework of Isolation Forest and AutoencoderEunji Lee, Seunghyun Lim, Seojun Lee, Abhijit DebnathMonitoring groundwater quality is vital for environmental safety and resource sustainability. This study combines Isolation Forest and Autoencoder models to detect anomalies in Electrical Conductivity (EC) and temperature, using monthly data collected in South Korea between 2006 and 2023. Linear regression and the Mann-Kendall test reveal a weak, episodic downward EC trend. Seasonal decomposition indicates annual cyclicality, while residual analysis … …Journal of Computer Science, Vol. 22, Issue 1 · 14 Feb 2026 · 1,926 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUnicycle Robot’s Navigation Control with Obstacle Avoidance and Asymptotic StabilityJuan Andrés Roteta Lannes, Andres Gabriel GarciaThis study builds upon the groundbreaking research of Asymptotic stability of unicycle-like robots with the Bessel’s controller continuing the exploration of asymptotic stability for non-holonomic robots through kinematic modeling that allows for obstacle avoidance. utilizing the previously derived Bessel's controller, the study defines an avoidance region containing obstacles, presenting an algorithm that relies solely on the distance to the obstacle. … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 1 · 28 Feb 2024 · 5,045 accessesView PDFCite