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156 results for “Failure Mode”
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Research ArticleOpen accessIn the abstractA New Extension of the Lomax Distribution with Statistical Properties and Applications to Failure and Service Times Data SetsMohamed K.A. RefaieIn this work, we introduce and study a new alternative Lomax model. The maximum likelihood method is used to estimate the unknown model parameters. We show empirically the importance and wide flexibility of the new model in modeling two types of failure times data sets. The new model is much better than the gamma Lomax, exponentiated Lomax, beta Lomax and … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 2 Feb 2019 · 7,573 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimode Controller Design for DSTATCOM integrated with Battery Energy Storage for Smart Grid ApplicationsSai Pranith, T.S. BhattiA Distribution Static Compensator (DSTATCOM) can provide reactive power support, power factor correction and voltage regulation to a distribution system feeder. In this paper, a multimode multifunctional control algorithm is proposed for the controller of the Voltage Source Converter (VSC) to provide DSTATCOM and load leveling functionalities for smart grid applications through a Battery Energy Storage System (BESS) connected to … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 26 Oct 2017 · 8,407 accessesView PDFCite
Research ArticleOpen accessIn the abstractMetabolic Features of Heart Failure with Different EtiologyOleynikov Dmitrij ArkadievichDilated Cardiomyopathy (DCM) and Chronical Degenerative Valvular Disease (CDVD) are very common in dogs nowadays. However, due to modern level in oncology we can meet chemotherapy-induced cardiomyopathies more often. We have lack of information about pathogenic mechanisms underlying Doxorubicin-induced Cardiomyopathy (DoxCM) and features differentiating it from CDVD and DCM. In this study we investigate several metabolic features of doxorubicin-induced cardiomyopathy, … …American Journal of Animal and Veterinary Sciences, Vol. 12, Issue 1 · 9 Mar 2017 · 7,176 accessesView PDFCite
Research ArticleOpen accessIn the abstractNumerical Simulation of Flexural-tensile Properties of Reinforced Concrete BeamShi Di, Wang Juan, Liu JianjunReinforced concrete is a kind of typical composite and reinforced concrete structure is widely used in the construction of a kind of structure, the flexural-tensile properties is very important for structure design optimization. In this study, the 2 dimensional numerical model of reinforced concrete beam is established by using ANSYS software and the effects of the thickness of the protective … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 25 Jan 2017 · 7,255 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 774 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Deep Learning Model for Evaluating Subjective Answers Based on Semantic Textual SimilaritySiddhesh Kudtarkar, Kavita ShirsatSubjective answer evaluation requires accurately identifying semantic similarities between student and reference responses. This study introduces a Hybrid Deep Learning Model (HDLM) that integrates CNN, GRU, and LSTM architectures to assess Semantic Textual Similarity (STS) more effectively. The HDLM employs two parallel branches-CNN-GRU and CNN-LSTM to capture both local syntactic features and long-range contextual dependencies, followed by Manhattan distance for … …Journal of Computer Science, Vol. 22, Issue 4 · 7 Apr 2026 · 1,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Metaheuristic-Optimized Feature Selection for Early-Stage Diabetes Prediction With SHAP-Guided Insight into Influential AttributesEsmay Azam Rochy, Jannatul Ferdaus, Uzzal Biswas et al.Diabetes is a metabolic disorder that causes elevated blood glucose. This long-term health condition can lead to cardiovascular diseases, stroke, kidney failure, visual impairment, neuropathy, and even death in critical cases. So, a Computer-Aided Diagnostic (CAD) system is necessary to diagnose diabetes automatically. A clinician can utilize a machine learning-based CAD system that automatically diagnoses many people. This paper will … …Journal of Computer Science, Vol. 22, Issue 2 · 24 Feb 2026 · 1,744 accessesView PDFCite
Research ArticleOpen accessIn the abstractThree Dimensional Investigation of Mode I Stress Intensity Factor Variations in Crack Front Using Finite Element MethodM. M. MirsayarOverall failure may occur in many engineering structures due to the initiation and growth of cracks. Stress intensity factors are extensively used to investigate crack growth in Linear Elastic Fracture Mechanics (LEFM). In many cracked specimens, the stress singularity varies through the thickness and therefore, investigation of stress intensity factor variation in crack front and determination of its maximum value … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 26 Jan 2015 · 7,335 accessesView PDFCite
Research ArticleOpen accessIn the abstractSTOCHASTIC REPAIR AND REPLACEMENT OF A STANDBY SYSTEMMohammed A. HajeehMechanical systems deteriorate over time and do not perform according to their intended functions and eventually fail due to the failure of one or more their components or units. Failed components are either repaired or replaced depending of several factors such as cost, criticality, or reliability. Repair is perfect, minimal, or imperfect. This study assesses the performance of a standby … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 9 Oct 2014 · 6,572 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVING FAULT TOLERANT RESOURCE OPTIMIZED AWARE JOB SCHEDULING FOR GRID COMPUTINGK. Nirmala Devi, A. TamilarasiWorkflow brokers of existing Grid Scheduling Systems are lack of cooperation mechanism which causes inefficient schedules of application distributed resources and it also worsens the utilization of various resources including network bandwidth and computational cycles. Furthermore considering the literature, all of these existing brokering systems primarily evolved around models of centralized hierarchical or client/server. In such models, vital responsibility such … …Journal of Computer Science, Vol. 10, Issue 5 · 4 Jan 2014 · 6,904 accessesView PDFCite