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1983 articles for “failure-prediction AUROC of 0.967” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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STUDY ON THE FAILURES OF WELD JOINTS OF ROOF HOOPS & BIAS MEMBERS IN THE PROJECT JEWEL ROOF CONSTRUCTION AND APPLICATION OF FLUX-CORED ARC WELDING TO AVOID FAILURES
Abstract: During the construction of the roof structure of the commercial interconnection between the three airport terminals of the Changi Airport in Singapore, several failures have been noticed during the welding of roof hoops and bias members. In this context, experimental studies have been performed on transient heat transfer in welding distortion control by using flux-cored arc welding process (Self Shielded-SS) by using three(3)-dimensional welding in High Strength Low Alloy (HSLA) …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 2, 2019 · pp. 1–7 Read article
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Model Predictive Control for a Distillation Column Model
Abstract: Model Predictive Control (MPC) is a multivariable control (requires specific handling of each input as coupling and interaction is of a far greater effect) and uses the internal dynamic model of the process, past control moves and an optimization cost function over the receding prediction horizon, to calculate the optimum control moves. In this paper, the relation between MPC parameters was studied on process constraints. Conical tank level single-input-single-output (SISO) …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 3, 2014 · pp. 11–19 Read article
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On The Risk of Urban Road Pavement Failure: A Case Study of Owerri, Imo State
Abstract: In this research work, we study the risk of road pavement failures in Owerri Imo State. The study deviates from other research work in this area that focused on the nature of road pavement failures without considering the risk involved with respect to human life and others. This was the aspect the study delved into. The researchers used questionnaires to collect primary data from randomly selected respondents on axle load …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 1, 2025 · pp. 16–24 Read article
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Predicting And Forecasting Stocks
Abstract: Stock value estimation may be a well-liked and vital topic in money and tutorial studies. Share Market is associate untidy place for predicting since there aren't any vital rules to estimate or predict the value of a share within the share market. Several ways like technical analysis, basic analysis, statistical analysis, and applied mathematics analysis, etc. area unit all want to conceive to predict the value within the share market …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 1, 2022 · pp. 1–5 Read article
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Numerical Analysis of NACA Airfoil 0012 at Different Attack Angles and Obtaining its Aerodynamic Coefficients
Abstract: Aircraft post-flight reduction is one of the most important research topics, since post-reduction is effective in all parameters of bird performance, such as maximum speed, fast acceleration, shortening the runway required, high maneuverability, and reduced fuel consumption. Therefore, it is important to examine how the force applied to the airfoil changes in different streams from an industrial point of view. In this study, NACA(National Advisory Committee for Aeronautics) Airfoil 0012 …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 3, 2019 · pp. 8–16 Read article
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Failure analyte of helicopter wing - a study
Abstract: Summarised issued form is description of different failure cases of winged propulsions. Ethic is basic study from usual aircraft powered through rotary wing i.e. helicopters. Rotor wing composes lift capability by spins; otherwise, accessed score is obtained from aerodynamic lift. Rotor spins about an axis so that etiquette is aligned either vertical or side-to-side. Advent of rotary wing aircraft are that used to be practice is to take off and …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 3, 2021 · pp. 25–31 Read article
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A Review of Business Process Re-engineering with Focus on Critical Success and Failure Factors
Abstract: This paper presents a literature review of business process re-engineering (BPR). Although there are a number of BPR articles in the literature, there is still lack of literature review in this field that focuses on the success and failure factors behind implementing BPR. The drive of this review is to gain a basic as well as greater understanding of the critical success and failure factors in implementing BPR. In doing …
Published in Journal of Production Research & Management · Vol. 7, Issue 2, 2017 · pp. 1–7 Read article
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Artificial Intelligence and Constitutive Modeling Equations for Predictive Design of High-Performance Polymer Composites
Abstract: Growing polymer composite applications demand accurate mechanical prediction, yet complex interactions and conventional constitutive models limit predictive capability and require extensive calibration. To report these challenges, this research recommends a combined Artificial Intelligence (AI) and constitutive modeling approach based on an Enhanced Tasmanian Devil Optimizer-tuned Residual Neural Network with Multilayer Perceptron (ETDO-ResNet-MLP) for the predictive design of high-performance polymer composites. The study uses a publicly available Polymer Composite Property Dataset …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Comparative Evaluation of Pedigree-Based and Genomic BLUP Models for Wheat Grain Yield Prediction
Abstract: Before genome-wide molecular markers became affordable, plant and animal breeding relied on pedigree-based prediction (P-BLUP), using the expected additive relationship matrix (A) derived from recorded ancestry. Genomic selection replaced or augmented this with a marker-derived genomic relationship matrix (G; GBLUP), and single-step methods combining A and G are now standard when only a subset of a breeding population is genotyped. It is less clear whether pedigree information retains any predictive …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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Numerical Investigation of Ply-by-Ply Failure and Strength Degradation in Composite Laminates Under Transverse Loading
Abstract: This paper represents the failure analysis of composite symmetric and antisymmetric laminate, when laminates were subjected to the transverse loading conditions. The load is uniformly distributed in a transverse direction. The analysis includes failure load and nature of failure by using theories of failure. The ply degradation material model is used to modify and update the properties of failed lamina and upgrades the properties of laminate. Laminate is modelled as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Quality of Sleep Among Patients with Chronic Renal Failure
Abstract: Renal failure is the partial or complete impairment of kidney function. Inability to eliminate metabolic waste products and water, along with functional disruptions in all bodily systems, result in the condition known as renal failure. Renal failure can be categorized as either acute or chronic. Chronic renal failure refers to the gradual and irreversible deterioration of the nephrons in both kidneys. It is characterized by either kidney damage or a …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 22–28 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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Prediction of Process Parameters of Friction Stir Welding Using Artificial Neural Network
Abstract: In this paper an artificial neural network (ANN) approach is used to predict the process parameters of friction stir welding (FSW). Initially, the experiments are conducted using the design of experiment (DoE) approach on FSW using L27 orthogonal array. The experiments are conducted using speed, feed, and tool tilt angle as input parameters for DoE and tensile strength, hardness, and ductility as output. ANN is created having 25 neurons and …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 13–25 Read article
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An Explanatory Theory of Predictive Analysis and Industry 5.0 for Students
Abstract: The incorporation of cutting-edge technologies like artificial intelligence, the Internet of Things (IoT), and robotics into manufacturing operations has given rise to Industry 5.0, often referred to as the "Smart Factory". This fresh approach to manufacturing holds the potential to enhance efficiency, lower expenses, and enhance overall operational effectiveness. Predictive analysis is the key technology that enables Industry 5.0 to achieve these goals by utilizing data and machine learning algorithms …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 2, 2023 · pp. 8–12 Read article
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The Effect of Shear Bond Strengths and the Mode of Bond Failure in Metal and Ceramic Brackets Bonded with Fluoride Releasing Composites: An in vitro Comparative Study
Abstract: One of the standard measures in the prevention of enamel demineralization is the use of Fluoride. Fixed orthodontic attachments act as a retentive area for plaque accumulation that leads to development of white spot lesions (WSLs). Incorporation of fluoride into adhesives for bracket bonding inhibitsdemineralization during fixed orthodontic treatment. However, the addition of fluoride into orthodontic adhesives may affect the mechanical properties such asshear bond strength (SBS). The present study …
Published in Research and Reviews: A Journal of Dentistry · Vol. 11, Issue 1, 2020 · pp. 1–7 Read article
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Predictive Modeling and Optimization of Tensile and Flexural Strength in FDM 3D Printing Using Decision Trees and Bayesian Optimization.
Abstract: This research investigates predictive modelling and optimization technique for the tensile and flexural strength of PlA (Poly Lactic Acid) in Fused Deposition Modelling (FDM) 3D printing. Employing Decision Trees and Bayesian Optimization enhances comprehension and control of 3D printing process. Precise model predicts PLA material properties based on input parameters. Methodology involves rigorous data preprocessing, encompassing, cleaning, transformation, and normalization. Hyperparameter optimization via grid search systematically explores configurations, optimizing model …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 203–214 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer Composites
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article