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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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The potential Role of Antidepressant Medications in DNA Oxidation of Depression Disorder Cases
Abstract: Oxidative stress and DNA oxidation is a main target of different medications side effect, the current work aims to evaluate the potential role of anti-depressed medications in DNA oxidation in depression disorder cases, reactive oxygen species (ROS), total antioxidant (TAO) and 8-oxo deoxyguanine (8-oxo-dG) were detected in depressed disorder cases that treated with different medications included clomipramine, tryptizol, fluxetin, olanzapine, tryptizol with fluxetin, tryptizol with olanzapine and other types of …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 41–47 Read article
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Machine Learning-Driven Early Prediction and Prevention of Obesity and Overweight
Abstract: Obesity has become a global health concern, with its prevalence reaching alarming levels in recent years. By classifying obesity-level, healthcare professionals can assess an individual's risk and develop appropriate treatment and prevention strategies. Healthcare professionals can customize interventions and create personalized treatment plans based on individual needs. This paper delivers a system provides an overview of obesity, highlighting the importance of accurate and standardized categorization for effective management and treatment …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 31–40 Read article
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Predictive Modeling of Polymer Composites for Medical Implants Using Artificial Intelligence Techniques
Abstract: The use of polymers in biomaterials was now key to designing the next generation of medical implants, which need to be strong and also compatible with living tissue. Tests for biocompatibility, such as those done in the laboratory and by doing experiments on animals, require much time and many resources, so the need for computer-based approaches becomes clear. An artificial intelligence approach was provided in this study to determine how …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 665–692 Read article
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Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach
Abstract: This research presents a comprehensive analysis of the drying behavior and thermal response of three distinct fabric types: 100% Cotton, 100% Polyester, and a Polyester blend (65/35), under meticulously controlled environmental conditions. The Polyester blend (65/35) consists of 65% Polyester and 35% Cotton, combining characteristics of both fibers. The investigation focuses on understanding how fiber composition impacts drying time, moisture retention, and thermal characteristics. Experimental trials were conducted using standardized …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–11 Read article
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Sustainable Concrete Solutions: Chemically Predictive Modeling of Geopolymer Versus Ordinary Concrete in a Circular Economy
Abstract: Concrete is a fundamental structural material widely used in civil engineering projects. It plays a key role in various types of building structures, with its quality directly influencing the durability of the construction. This research focuses on assessing the current state of concrete construction, highlighting critical issues and technical aspects in the process, while emphasizing the importance of improving construction quality and management practices. Geopolymer concrete (GPC) presents a viable …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 170–192 Read article
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Examining the Relationship Between Academic Stress, Maladaptive Perfectionism and Trauma-Related Responses Among University Students
Abstract: Academic stress is a significant concern among university students, frequently contributing to maladaptive perfectionism and trauma-like responses. While perfectionism can enhance performance, its maladaptive variant may be exacerbated by academic stress which can induce trauma-like responses. This study investigates the correlation between academic stress, maladaptive perfectionism and trauma-like responses. Validated self-report measures were used in a quantitative, correlational study involving 101 university students. Linear regression analysis and Kendall’s Tau-B correlation …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 145–154 Read article
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
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The Assessment of Electric Vehicle Fire Risk Using the Failure Tree Analysis
Abstract: With the global shift toward sustainable transportation, the widespread adoption of electric vehicles (EVs) is rapidly becoming a reality, largely driven by growing environmental awareness and concerns over climate change. However, alongside this transition comes a set of emerging challenges, most notably, the increasing incidence of EV-related fire hazards, which have attracted significant public and media scrutiny. This situation highlights the urgent need for a detailed and systematic approach to …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 27–38 Read article
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A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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A Study to Assess the Nutritional Status of Kidney Failure Patients Undergoing Maintenance Hemodialysis
Abstract: Malnutrition is a common and serious complication among patients with end-stage renal disease (ESRD) undergoing maintenance hemodialysis (MHD) and is strongly associated with increased morbidity and mortality. The present study was conducted to assess the nutritional status of patients on maintenance hemodialysis and to identify factors contributing to protein-energy malnutrition in this population. A cross-sectional and follow-up assessment was carried out among patients receiving regular hemodialysis at a dialysis center. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 82–94 Read article
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Challenges and Remedies for Stray Loss Prediction and Reduction for Power Transformer
Abstract: Power transformer facilitates the bulk power transmission for long distance. Cost wise it is one of the costliest objects of power system. This is the reason; their design has been a major concern and the subject of extended research. Nowadays customers are asking for highly efficient transformers in lower cost. That means, continual improvements, analyses and innovative techniques have to be adopted by designers and manufacturers. The stray loss analysis …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 25–34 Read article
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Wet Multi Plate Clutch Failure: A Review
Abstract: To create a successful design that satisfies modern demands, the traditional theoretical method of computing temperature area, in particular the maximum temperature considered inside the surfaces of the friction take hold of disc best during the single engagement, is used. The entire engagement time was 5s, although the temperature fields were calculated during 6 consecutive engagements. In order to calculate the heat conductivity of the friction grasp machine, a three-dimensional …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 1–10 Read article
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Prediction of shear strength of reinforced concrete beams using Artificial Neural Network and evaluated by Finite Element Software
Abstract: ABSTRACTIn this paper, the Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference Framework (ANFIS) are utilized to foresee the shear quality of Reinforced Concrete (RC) shafts, and the models are contrasted and American Concrete Institute (ACI) and Iranian Concrete Institute (ICI) observational codes. The ANN display, with Multi-Layer Perceptron (MLP), utilizing a Back-Propagation (BP) algorithm, is utilizedto foresee the shear quality of RC pillars. Six vital parameters are chosen …
Published in Journal of Construction Engineering, Technology & Management · Vol. 8, Issue 1, 2018 · pp. 34–42 Read article
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Prediction Of Compression Index For Lateritic Soil Using Transformed Variable
Abstract: The information on the compression index of a soil is vital in geotechnical design, but its determination is expensive and time consuming. Most models relating compression index and basic soil properties are usually based on soil types. This work seeks to develop a model relationship between compression index and basic soil properties for lateritic soils. Selective transformation method which involves testing some general functional forms, to choose the model that …
Published in Journal of Geotechnical Engineering · Vol. 5, Issue 3, 2018 · pp. 14–23 Read article
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A Simulation Model to Predict the Performance of Ethanol- Gasoline Blend (E15) in a Spark Ignition Engine
Abstract: Usage of biofuels like bio-ethanol as a fuel in IC Engines is becoming prominent day by day due to their positive characteristics like biodegradability, nonpolluting, renewability, homegrown etc. Conducting experiments on real engine to establish the suitability of biofuels to IC Engines is very time consuming and expensive. Computer based simulation helps in addressing these problems. In this work an attempt is made to simulate performance and emission of SI …
Published in Journal of Industrial Safety Engineering · Vol. 7, Issue 3, 2020 · pp. 13–22 Read article
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Water Management in Agriculture Keeping in View Frequent Power Failure Problem in Rural India
Abstract: Agriculture is one of the most important sectors in India. Healthy growth of crop requires timely and sufficient supply of water. Most of the farmers use water pumps for irrigation which work on electric power. The supply of power in some rural areas is bit irregular and unpredictable. Maximum time of farmers is wasted in monitoring the availability of power supply The frequent power cut and low voltage supply create …
Published in Journal of Instrumentation Technology & Innovations · Vol. 11, Issue 3, 2021 · pp. 6–10 Read article
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Effect of Isothermal Ageing on Microstructure and Mechanical Behavior of 0.5Cr-0.5Mo-0.2V Low Alloy Steel
Abstract: Cr-Mo-V based low alloy steels are widely used in thermal power plants because of their ability to withstand elevated temperature and high pressure under continuous operation. With ferrite-pearlite and/or ferrite-bainite microstructures, these steels find their applications in boiler tubes, pressure vessels and steam turbines. Being cost effective is one of the important factors, which draws attention of many industrialists towards low alloyed steels over highly alloyed steels with austenitic matrix. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 7–14 Read article
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Development of a predictive model for determining mechanical properties of nano Al2O3 reinforced adhesive bonded SS304 single lap joint
Abstract: In this study, single lap joints were prepared by adding nano-additives (Al2O3) in the quantity of 3 wt % in the phenolic resin, and the overlap length was varied to observe the effect on joint engineering properties. In the experiments, a single component system of a specific grade of phenolic resin was used as a binder, and aluminum (AA8011), as well as stainless steel (SS304), was used as adherends. The …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. 20–28 Read article