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156 results for “failure mode”
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Research ArticleOpen accessIn the abstractPerformance of Standard Statistical Distributions for Modeling Glass FractureDavid Kinsella, Johan Lindström, Kent PerssonExperimental data on the strength of new annealed float glass tested in an ambient environment was collected. A comparison was made between four standard distributions, the normal, lognormal, Gumbel and Weibull, with respect to the performance in modelling the strength. The Weibull distribution outperformed the normal and lognormal distributions when the data contained edge only failure origins. When the data … …International Journal of Structural Glass and Advanced Materials Research, Vol. 2, Issue 1 · 24 Aug 2018 · 7,120 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 · 749 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 · 1,690 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 · 1,736 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 · 8,399 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 · 7,172 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 · 7,249 accessesView PDFCite
Research ArticleOpen accessIn the abstractSome Morphologic Features of Heart Failure with Different EtiologyDmitrij Arkadievich OleynikovDilated 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. The study population consisted of 46 dogs of different age, sex … …American Journal of Animal and Veterinary Sciences, Vol. 12, Issue 2 · 20 May 2017 · 7,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractCloud Privacy Preservation Using Improved Squeezenet Based Data Sanitization and Improved Lyrebird Optimization-Based Optimal Key GenerationSmita Sharma, Sanjay TyagiMaintaining privacy in the cloud is critical, which implies reliable and effective models that are adapted to the difficulties presented by cloud settings. This paper introduces a comprehensive privacy preservation model tailored specifically for cloud environments, comprising five important phases such as data acquisition, normalization, feature extraction, sanitization and restoration. It begins with the meticulous collection of data from diverse … …Journal of Computer Science, Vol. 21, Issue 7 · 20 Aug 2025 · 3,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractBond Strength of Bioactive vs. Conventional Resin Composites on Dentin Cleaned with Ozonated Water: An In Vitro StudyFernanda Rafaela Ribeiro, Anna Caroliny Detogni, Julio Katuhide Ueda et al.This study aimed to compare the micro tensile bond strength (μTBS) of bioactive and conventional resin composite to human dentin after the use of ozonated water (AO) as a cavity cleaning solution. A total of 32healthy human third molars were randomly assigned to four groups (n = 8)based on the type of composite and dentin cleaning. The first group received … …Current Research in Dentistry, Vol. 16, Issue 1 · 9 Jun 2025 · 6,312 accessesView PDFCite