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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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Prediction of Prostate Cancer Using Boosting Technique
Abstract: There are many diseases that are associated with humans, but some diseases might be associated with only males or only females. This paper shows and discusses the disorder that is associated mainly in men. Prostate cancer is associated with the example of illness. Usually when the damaged cells develop in the prostate gland occurs prostate cancer occurs. These cells increase uncontrollably. Reports given by the researchers show that this is …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 1–9 Read article
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A Latest Approach for Crime Rate Prediction and Analysis by Using the Clustering and Machine Learning Algorithm
Abstract: In our daily life, the collection and analysis of crime-related data is uncertain from a security perspective. Crime rate forecasting and analysis is a way of identifying and analyzing crime patterns in crime data contained in a crime database. Our system predicts what criminal activity occurs in everyday life in various parts of the world. Through the utilization of machine learning and data mining algorithms, it is possible to forecast …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 32–42 Read article
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A Descriptive Study to Assess the Knowledge, Attitude, and Practice of Mothers of Children (0–5 years) about Prevention and Management of Diarrhoea in a Selected Urban Slum Area of Delhi
Abstract: Introduction: Children are the future of the nation. Their healthy development is an investment innational development and productivity. Mothers are important persons in children’s lives. Objectives:The study was aimed to access the knowledge, attitude, and practice of mothers of children (0–5years) about prevention and management of diarrhoea, to relate the knowledge of mothers of children(0–5 years) with the attitude and practice about prevention and management of diarrhoea, toassociate the knowledge, …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 1, 2021 · pp. 51–58 Read article
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Predictors of Low Birth Weight in Tigrai Regional State, Northern Ethiopia: Hospital Based Case Control Study
Abstract: Background: Low birth weight is a serious public health crisis to neonatal survival, about 20.6 million such infants born each year and the developing world inhabits 96.5% of them and little is documented about the predictors of low birth weight in Ethiopia. Therefore, this study is intended to identify the determinants of low birth weight in governmental hospitals of Tigrai national state, Ethiopia.Method: A case-control study was carried out at …
Published in Research and Reviews: A Journal of Health Professions · Vol. 7, Issue 1, 2017 · pp. 23–32 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Utility of Abbreviated Burn Scoring Index in Predicting Mortality in Burn Patients – Our Experience
Abstract: The prediction of the outcome of patients presenting with severe burns is crucial in guiding clinical judgments. There are multiple models for predicting burn mortality that have been developed over a period of time. Advancements in burn management over the past few decades have led to a remarkable reduction in burn-related morbidity and mortality worldwide. Improvements in critical care, fluid resuscitation protocols, infection control measures, nutritional support, early wound excision …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 2, 2026 · pp. 49–53 Read article
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Early Heart Failure Recognition for Infants Using Machine Learning
Abstract: The care of newborn infants remains a significant responsibility for healthcare professionals, as ensuring infant survival can often be complex and demanding. Conditions such as heart failure and cardiac arrest in infants are life-threatening and require prompt diagnosis and treatment. Detecting cardiac problems at an early stage can greatly enhance survival outcomes and minimize serious complications. In recent years, machine learning (ML) approaches have become valuable tools for predicting cardiovascular …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Loan Prediction Using Random Forest Algorithm
Abstract: With the growth of the banking sector, more and more people are applying for bank loans. All of these loans are not allowed. The principal income of bank assets arises from the interest earned on the loan. Bank profit or loss depends largely on the amount of the loan, i.e., whether customers pay off the loan or fail. The main purpose of banks is to invest their assets in secure …
Published in Journal of Advanced Database Management & Systems Read article
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Seasonal Variations of Air Quality Measures In Warri and Effurun, Delta State, Nigeria.
Abstract: Air quality in Urban Cities like Warri and Effurun has been deteriorating over time. The distribution levels of air pollutants in the Warri and Effurun environments may be related to both natural and man-made factors. In addition to evaluating the quality of rainwater with regard to pH, heavy metals (Fe, Pb, Cd, As, Hg, CU, Zn), and some anions (Cl-, NO3-, SO42-, CO32-), this project study aims to investigate, using …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 1, 2024 · pp. 23–48 Read article
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Service Life Prediction of Concretes Incorporated with Fly Ash and Alccofine with respect to Chloride Ion Penetration
Abstract: Chloride-induced corrosion poses a significant threat to the degradation of reinforced concrete structures, especially in extreme environments such as marine and industrial exposure conditions, where the damage can be particularly severe. This study provides an experimental investigation utilizing three distinct water-binder ratios (0.3, 0.4, and 0.5) applied to three types of concrete mixtures: conventional concrete, concrete blended with 40% fly ash, and concrete blended with 40% fly ash and 2% …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 202–213 Read article
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Application of Artificial intelligence in Single Point Incremental Forming for Surface Roughness Prediction
Abstract: The sheet metal forming industries always try to find an emerging trend to form sheet-metal in a cost-effective manner. In this regard, a forming technique is trending termed as single point incremental forming (SPIF) in which a simple forming tool having hemispherical end rod is moving and simultaneously deforming the clamped metal sheet according to predetermined toolpath command and forms a complete shape. The achievement of required surface quality is …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 237–246 Read article
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Detecting the Failure Stages in Asphalt Concrete Through the Fatigue Life
Abstract: The signs of failure initiation in asphalt concrete through its service life may appear as cracking, rutting, or other types of distress after practicing dynamic stresses from vehicular loading. This work is concerned with detecting the failure initiation in asphalt concrete in the laboratory, and the role of binder content and constant strain level through a comprehensive testing program. Asphalt concrete mixtures were formulated with the optimal binder content, as …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 21–27 Read article
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Performance Forecasting in Solo Sports: Leveraging Psychometrics, Economic Analysis, and Cultural Insights for Predictive Excellence
Abstract: The science of performance forecasting in solo sports has transcended traditional metrics, embracing a multidisciplinary approach. This paper explores the integration of psychometrics, economic analysis, and cultural insights to predict athletic success. By leveraging psychological profiling, economic factors, and cultural dynamics, this study aims to establish a comprehensive model for forecasting athlete performance with heightened accuracy. In the realm of solo sports, where individual prowess dictates success, traditional performance forecasting …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 35–44 Read article
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article
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Multi-factor Fused Lightpath QoT Prediction for Optical Networks: A Multiple Reservoir Analysis Strategy
Abstract: Investigating the channel quality of transmission (QoT) in-depth is crucial for responsive and instant transparent optical network management. However, current lightpath QoT predictions are devoted to univariate modeling. Due to the QoT metrics complicated time-varying process and the existing effects of inter-channel factors, despite the use of an advanced and efficient echo state network (ESN), it is difficult to obtain ideal results in univariate prediction mode. Thus, this paper considers …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 28–34 Read article
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Counter Terrorism Prediction and Risk Evaluation (C-TRIP)
Abstract: The global landscape in the 21st century is marked by complex and evolving security challenges, none more pressing than the threat of terrorism. Acts of terror have left a profound impact on societies, economies, and governments worldwide, underscoring the critical importance of effective counter terrorism strategies. The “Counter Terrorism Prediction and Risk Evaluation (C-TRIP)” represents a significant stride in addressing this ever-pressing challenge. In a time marked by global security …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 14–24 Read article
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Analyzing Cavitation in Marine Propeller: A Computational Approach with Consideration for Polymer Applications
Abstract: A major source of noise and blade damage in marine propellers is because of the phenomenon of hydrodynamic cavitation. The Computational Fluid Dynamics (CFD) analysis approach is employed for the prediction of the cavitating propeller’s performance characteristics under various conditions of operation with the advance coefficient (J) ranging from 0.55 to 0.91 and cavitation number (σ) in the range of 0.80 to 4.50. The numerical simulation is performed on INSEAN …
Published in Journal of Polymer & Composites · Vol. 12, Issue 8, 2024 · pp. 29–44 Read article
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Integrative Machine Learning Approaches for Predicting the Rheological Behaviour of Soft Magnetorheological Elastomers
Abstract: Magnetorheological Elastomers (MREs) are advanced composite materials known for their ability to alter mechanical properties under external magnetic fields, making them highly valuable in adaptive damping systems, vibration control, and smart devices. The accurate prediction of rheological behavior in soft MREs remains a significant challenge due to the complex interplay between material composition and magnetic fields. To address this challenge, this study employs a multi-pronged approach that integrates traditional material …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1083–1096 Read article
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Transformative Impact of Artificial Intelligence on Telecommunications: Network Optimization, Predictive Maintenance, and Personalized User Experience
Abstract: This paper explores the transformative impact of Artificial Intelligence (AI) in telecommunications, focusing on network performance optimization, predictive maintenance, personalized user experiences, and ethical and regulatory challenges. AI technologies enhance communication networks by optimizing resource allocation, reducing latency, and increasing throughput through real-time adjustments and predictive analytics. Predictive maintenance, enabled by AI, helps prevent failures, reduce downtime, and lower maintenance costs by anticipating issues. The study also delves into AI's …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 1, 2025 · pp. 27–36 Read article