Search
1983 articles for “failure-prediction AUROC of 0.967” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
Nothing matched all of your words, so these match any of them.
-
ANN Approach to Forecasting the Strength of Nano Silica Incorporated Geopolymer Composite
Abstract: Coal and steel industry by-products, such as fly ash (FA) and blast furnace slag (GGBS), have gained significant attention as precursors for geopolymer concrete (GPC) due to their high aluminosilicate content, offering a sustainable alternative to conventional cement. Nano silica (NS), recognized for its exceptional pozzolanic activity and ability to refine microstructure, has shown potential to enhance the mechanical and durability properties of GPC. This study investigates the influence of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 267–278 Read article
-
Stress and Failure Analysis of Hybrid FRP Laminated Tubular Joints
Abstract: Composite tubes have been used in transporting corrosive fluid in petro chemical and paper industries. [Fiber reinforced Polymers] FRP Composite Pipes are even becoming popular in the offshore oil and gas industry. Bonded joints with tubular adherends are finding applications in various piping industry. In the recent times Hybrid Tubular Bonded Lap Joints (HTLJ) have been extensively used to optimize the cost and to enhance the performance of the joint. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 461–471 Read article
-
A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
-
Predictive Factors of Long-Term Sobriety: A Post-Discharge Outcome Study in Mangalore, Goa, and Vasai (2019–2023)
Abstract: Relapse following discharge remains a major challenge in addiction recovery, even with structured treatment protocols in rehabilitation centers. This study examines post-discharge outcomes from Kripa Foundation’s rehabilitation centers in Mangalore, Goa, and Vasai over a five-year period (2019–2023). A total of 100 patients were categorized into four behavioural outcome groups: Clean (Sober), Relapsed, R.I.P. (Deceased), and Unknown. The study aimed to identify demographic and behavioural predictors of sustained sobriety post-discharge. …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 29–44 Read article
-
Advanced Lithium-Ion Battery Prognostics: A Comprehensive Review of Machine Learning Approaches for Remaining Useful Life Prediction
Abstract: The lithium-ion battery (LIB), as one of the main sources for portable power systems, has been increasingly popular owing to its widespread applications in electric vehicles, consumer electronics, aerospace and renewable energy. Despite their advantages in high energy density and long cycle life, LIBs suffer from degradation over time of aging and cycling, resulting in loss of performance, safety issues, and economic bottlenecks. Predicting their Remaining Useful Life (RUL) is …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 12–27 Read article
-
A study on IoT and AI for Predictive Modeling and Control of Infectious Disease Transmission
Abstract: Background: The global response to novel and recurring infectious diseases is frequently hindered by surveillance systems that are slow, siloed, and reactive. Traditional epidemiology relies on retrospective analysis of clinical reports, often missing the critical early phase of autocatalytic spread. The urgency of modern public health necessitates a shift toward real-time, predictive intelligence. Methods: This study investigates the development and deployment of a synergistic paradigm integrating the Internet of Things …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
-
The Impact of Nutrition on Sports Performance and Academic Success: A Study Among University Athletes – Eastern Technical University of Sierra Leone
Abstract: University athletes operate within dual-performance environments that require simultaneous academic and athletic excellence. Nutrition plays a critical role in supporting both physiological performance and cognitive functioning; however, limited empirical work has examined its combined influence on athletic and academic outcomes within university athlete populations, particularly in low-resource contexts. This study aimed to investigate the relationship between nutritional practices, sports performance, and academic achievement among university athletes at the Eastern Technical …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 16–27 Read article
-
A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
-
Comprehensive Review of Composite Materials: Classification, Manufacturing Methods, Mechanical Behavior, Failure Modes, and Emerging Applications
Abstract: Composite materials have emerged as one of the most significant classes of engineered materials due to their ability to deliver high strength to weight ratios, enhanced durability, and tailored multifunctionality. Over the past two decades, rapid progress in polymer chemistry, advanced reinforcement architectures, additive manufacturing, and automated fabrication has expanded the applicability of composites across aerospace, automotive, biomedical, civil, and renewable energy sectors. This paper provides a comprehensive review of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 923–939 Read article
-
Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
-
Optimizing Airline Efficiency Using Big Data and Predictive Analytics
Abstract: Recent technological advancements have resulted in the generation of vast volumes of data across industries, including the airline sector, supporting operational control and service quality. Big data analytics (BDA) enables organizations to analyze large and complex datasets to derive actionable insights that support highly informed decision-making and truly superior operational performance. This review paper systematically analyzes twenty relevant research studies to explore the application of BDA within the airline industry. …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 · pp. 13–18 Read article
-
The Early Brain Hemorrhage Prediction System Using Machine Learning
Abstract: Brain hemorrhage is a critical medical emergency that requires immediate attention, as delays in diagnosis can result in severe neurological damage or death. The condition involves bleeding within or around brain tissues, leading to increased intracranial pressure and disruption of normal brain function. Although imaging techniques such as CT scans and MRI provide accurate diagnosis, their availability is limited in emergency and rural settings. In recent years, machine learning has …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 Read article
-
Identification and Characterization of Genetic Predictors of Sickle Cell Anemia in Bilaspur District, Chhattisgarh, India
Abstract: In the present decades, sickle cell anemia (SCA) is a challenging task for control of hereditary syndrome in Bilaspur district of Chhattisgarh state, India. The present study aims to identify and characterize genetic predictors of SCA from Bilaspur district (CG) in 2024. A total of 3000+ individuals were screened and categorized into carriers, positive (screening), and diseased cases. Fetal hemoglobin (HbF) level is determined by several genetic factors including genetic …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 2, 2026 · pp. 1–9 Read article
-
Dielectric Studies of 0.5Ba0.8Ca0.2TiO3.0.5CaCu3Ti4O12 Nanoceramic Fabricated by Chemo-mechanical Process
Abstract: The present investigation is aimed toward investigate a straightforward, inexpensive, and environmentally friendly chemo-mechanical method for preparing high-dielectric materials, specifically 0.5Ba0.8Ca0.2TiO3.0.5CaCu3Ti4O12 (BCT-CCTO), by combining metal nitrate combustion with solid TiO2 powder and titanium isopropoxide, Ti (OR)4. The composite was prepared by the mixing of individual materials of Ba0.8Ca0.2TiO3 and CaCu3Ti4O12 through the chemo-mechanical method. Initially, 99% pure Ba (NO3)3, Cu (NO3)2∙3H2O, TiO2 and glycine were taken in their stoichiometry ratios. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 12–21 Read article
-
Problem formulation for predicting optimum trans-esterification process parameters of biodiesel production and their performance analysis in diesel engine
Abstract: The various alternate fuels have been used in the past research to run the compression ignition engines. One of the fuel is the biodiesel which is used in the blended form with diesel. The emission parameters are reduced to 30-40% and the performance parameters are increased to some extent. This paper represents the various past research related to biodiesel based engines. The various steps in predicting the optimum process parameters …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 41–44 Read article
-
Comprehensive Analysis of Electric Scooters: Investigating Challenges, Failures And Component Optimization for Enhanced Urban Mobility.
Abstract: Renewable energy, a global topic of discussion, has made significant strides in preserving our ecosystem. Environmental pollution stands as a critical issue, necessitating proactive measures for mitigation. The emergence of electric scooters represents a positive step towards environmental conservation; however, their acceptance as urban mobility vehicles is hindered by safety apprehensions. This research delves into e-scooter design, aiming to enhance productivity and address challenges. By identifying accidents and operational failures, …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 45–60 Read article
-
Prediction of Air Quality Index (AQI)
Abstract: AbstractGrowing economy of a country has its pros and cons. Swift development of industries on an extensive scale has led to immense growth in air pollution. It happens to be elementary root of maladies and early deaths around the world. The UN responsible agency for international public health has estimated that outside atmosphere consisting of air pollution takes about three million people’s lives every year. Therefore, contamination amount in air …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 2, 2020 · pp. 28–34 Read article
-
System Preplanning Theory by using Failure vs. Reliability Analysis of DSP-270P Polycrystalline SPV System: A Comparative Approach
Abstract: A preplanning idea is always required before installing any new system. So, we present an approach for technical preplanning excluding mechanical designing and cost through this paper, to make the system more reliable as well as proper array selection scheme through the comparative analysis. It is implemented by using the comparative approach of optimized and non-optimized output for DSP270P polycrystalline SPV array through PSO, P&O and GA techniques with the …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 1, 2017 · pp. 36–40 Read article
-
Analysis of LSDCCFF at 0.09 µm Technology
Abstract: The traditional low swing differential conditional capture flip-flop (LSDCCFF) for LC resonant clock distribution network has wide range of applications but has poor power consumption. These characteristics can be improved by using the modified LSDCCFF. This paper presents the design of modified LSDCCFF with less delay and low operating power. The implementation of the circuit is done using LSDCCFF. By using voltage scaling technique, the average power consumption can be …
Published in Journal of Electronic Design Technology · Vol. 5, Issue 2, 2014 · pp. 32–39 Read article
-
REVIEW OF NANO MATERIALS FOR PREDICTING STRENGTH AND VOLUME CHANGE BEHAVIOUR OF EXPANSIVE SOILS
Abstract: Expansive soils are problematic to Civil Engineering by increase and decrease its volume due to movement of water in and out. This kind of soils is portrayed by its outrageous hardness while drying and with high swelling process on the wetting. Several researches during the past 20 years have proposed different nano materials for the soil stabilization approaches to counter the hazards present in the soils. This paper elaborates various …
Published in Journal of Geotechnical Engineering · Vol. 5, Issue 3, 2018 · pp. 8–13 Read article