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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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FutureGen – Predicting Genetic Health
Abstract: FutureGen is an intelligent web-based system developed to help couples assess the risk of genetic disorders in their future child through data-driven analysis. The system brings together modern web technologies and machine learning to offer accurate and accessible predictions. The frontend, built with React, provides an intuitive interface for user interaction, while a Flask-based backend API handles model inference and manages communication with the Supabase database, which securely stores user …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
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Catalyst-Driven Degradation and Failure Analysis of Intergranular Cracking in 316H Studded Pipes under Refinery Heat Recovery Conditions
Abstract: A failure analysis investigation was carried out on a high-temperature studded pipe used in a convection module for heat recovery in an oil and gas refinery application after leakage was detected during pre-commissioning hydrotesting. The investigated pipe was manufactured from AISI 316H austenitic stainless steel, and carbon steel studs had been joined to its outer surface by high-frequency resistance welding. Two leaks were reported in the pipe under investigation, and …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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PREDICTIVE LEARNING POWERED BY AI AND SOPHISTICATED STUDENT ENGAGEMENT TECHNIQUES
Abstract: The contemporary landscape of education has witnessed a paradigm shift in integrating advanced technologies that have revolutionized the learning experience. Innovative methodologies have emerged to address longstanding challenges, such as enhancing student engagement, accurately predicting academic performance, and personalizing the learning journey. However, despite the numerous benefits that technology brings to education, there remains a crucial hurdle - sustaining student motivation and engagement. Traditional teaching methodologies often struggle to generate …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 127–140 Read article
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Oceanmind Systems: AI-Driven Marine Life Intelligence for Climate Prediction and Ocean Ecosystem Stability
Abstract: Oceans regulate global climate systems, support biodiversity, and serve as critical carbon sinks, yet they remain under-monitored relative to their ecological importance. Traditional oceanographic methods rely heavily on satellite sensing, buoy networks, and periodic marine surveys, which often fail to capture real-time biological dynamics at micro-ecosystem levels. This paper introduces OceanMind Systems, an artificial intelligence (AI)-driven marine intelligence framework that integrates marine life behavior, oceanographic data, and computational modeling to …
Published in International Journal of Marine Life · Vol. 3, Issue 2, 2026 Read article
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Analysis of Low Bit Rate Audio Compression System using Linear Predictive Coding
Abstract: Abstract The point of the task is to build up a framework for encoding great quality discourse at a low bit rate. To execute this, we have utilized the most dominant discourse investigation system called Linear Predictive Coding (LPC). It utilizes tenth request Levinson-Durbin Recursion calculation to achieve the errand. It gives amazingly exact evaluations of discourse parameters and is moderately effective for computation. The discourse flag of guys and …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 1–6 Read article
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Integration of Soil Profile Data in Crop Prediction Models: A Comprehensive Review
Abstract: Farmers in many areas of India are having crop production issues due to soil and climate. There is no comprehensive guide accessible to assist them in developing the appropriate types of plants using modern technology. Farmers may be unable to benefit from agricultural scientific developments due to illiteracy and may continue to rely on human practises. This complicates getting the desired yield. Crop failure, for example, could be the result …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 6–11 Read article
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Modelling the Reliability and unreliability of Selected Gas Plant Units
Abstract: This research demonstrates the reliability analysis of some units of some selected Gas Plant. In the study, unit plants of reboiler, stripper, cooling, compressor, acid dehydrated, heat transfer fluid, expander, and liquefaction were examined in terms of reliability and unreliability for a period of eight years. The results obtained revealed decrease in reliability value of unit plant with increase in period of utilization, whereas unreliability and cost increased with increase …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 2, 2022 · pp. 1–18 Read article
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Prediction of Various Optimal Solutions for Desirable Performance Parameter of Non-edible Oils-based Biodiesel
Abstract: The use of energy has expanded a ton by virtue of the modification in the way of life with the progression of masses. This consistent expansion of energy request began the states of the fossil oil deficiency, regular effects for example nursery impact, an Earth-wide temperature boost and so on. Oil based products are restricted assets of energy; from now on, it is must to look for an elective asset …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 1, 2024 · pp. 25–29 Read article
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Prediction of Bead Geometry Parameters using Response Surface Methodology and Finite Element Analysis of Gas Metal Arc Welded Joints of Aluminum Alloy
Abstract: Gas Metal Arc welding process aims to produce welded joint with the excellent mechanical properties with minimum distortion and desired weld bead parameters. In welding, input process parameters decides the quality of weld joint. Manufacturer are facing problem of controlling the process input parameters to obtain a good welded joint with the bead geometry. Prediction of weld bead geometry play very important role in determining the quality of weld. This …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 2, 2018 · pp. 23–35 Read article
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Failure Analysis of Sheet Metal Utensils during Deep Drawing Process
Abstract: Sheet metal is one of the most important semi-finished products used in the steel industry, and sheet metal forming technology is therefore an important engineering discipline within the area of mechanical engineering. Deep drawing process is used for manufacturing the utensils from sheet metal. The sheet metal forming process to a large extent is based on experience, rules of thumb and trial-error experiments with or without use of scientifically based …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 3, 2016 · pp. 27–33 Read article
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Establishing Empirical Relationships to Predict Grain Size and Hardness of Pulsed Current Microplasma Arc Welded Inconel 625 Sheets
Abstract: Nickel alloys have gathered wide acceptance in the fabrication of components, which require high temperature resistance and corrosion resistance, such as metallic bellows used in expansion joints in aircraft, aerospace and petroleum industry. In case of single pass welding of thinner sections of this alloy, pulsed current microplasma arc welding was found beneficial due to its advantages over the conventional continuous current process. The paper focuses on developing mathematical models …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 37–47 Read article
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Reliability Optimization of Radial Distribution Systems Considering Failure Rate and Repair Time Earmarking using Languid Particle Swarm Optimization (LPSO)
Abstract: In this paper a methodology for reliability improvement of radial distribution system by establishing optimal values of repair times and failure rates is considered. Objective function related to failure rates and repair times is been designed. Constraints are taken based on customer and energy based indices. Languid Particle Swarm Optimization (LPSO) a variant of Particle Swarm Optimization (PSO) has been used as optimization technique. The method is implemented on radial …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 1, 2022 · pp. 16–21 Read article
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Theoretical Prediction of Maximum Number of Methane Molecule Accommodation in Unit Cages of S-I Clathrate Structure
Abstract: Density Functional Theory (DFT) based simulations have been performed to determine maximum possible number of methane molecule accommodation in unit cages of methane hydrate structure-I (S-I). Interaction energy, encapsulation energy and incremental encapsulation energy are calculated using B3LYP functional and 6-31+G(d) basis set. Nuclear magnetic resonance and Raman spectroscopy of one methane encapsulated are predicted at B3LYP/6-31G(d) level for 51262 hydrate cage. Maximum one methane molecule accommodation both in 512 …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 116–122 Read article
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Regression and ANN Models in Predicting Tool Wear
Abstract: A modern machining system must be able to detect tool wear while milling in order to maintain the product's surface quality. The vibration signatures produced by a single point cutting tool during machining have been found to be good predictors of the tool's health. The current study used Artificial Neural Networks to forecast tool life by analysing vibration signatures when turning EN9 and EN24 steel alloys (ANN). Tool wear prediction …
Published in Journal of Production Research & Management · Vol. 12, Issue 1, 2022 · pp. 14–18 Read article
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Predictive and Degradation Analysis in the Life-Cycle of Monocrystalline and Multicrystalline Photovoltaic Modules using Electroluminescence Imaging & Monitoring Studies
Abstract: AbstractSolar Technology is the cynosure of all eyes in this global era. With major thrusts towards decarbonization, improving the overall efficiency of Solar Modules is the most coveted thing in this arena. The efficiency of a Solar panel ranges between 18-25 % when it is in good working condition. There are several causes of the efficiency decreasing further. A solar panel is susceptible to a lot of damages, ranging from …
Published in Journal of Semiconductor Devices and Circuits · Vol. 7, Issue 2, 2020 · pp. 23–27 Read article
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Bund Breakage Predictor and Automatic Field Irrigation System
Abstract: Bunds are one among the most common techniques used in agriculture to collect surface run off, increase water infiltration and prevent soil erosion. Their principle is comparably simple by building bunds along the contour lines, water runoff is slowed down which leads to increased water infiltration and enhanced soil moisture. Water is an important resource for agriculture. Bund breakage predictor and automatic field irrigation system is used to calculate the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 2, 2019 · pp. 1–18 Read article
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Channel Prediction and Estimation Based on Machine and Deep Learning Techniques: A Review
Abstract: Channel prediction estimation in the high- speed mobile environment is a hot issue for 3D massive multiple input multiple output (MIMO) millimeter-wave (mmWave) system. In this environment, the channel has fast time-varying and non-stationary characteristics. And its time-domain correlation coefficient is a time- varying parameter, which makes it difficult for traditional channel estimation methods to capture the channel variations over time and achieve ideal channel estimation performance. A known signal, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 13–17 Read article
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Development of Mathematical Model to Predict Annual Runoff in Port Harcourt City, Rivers State, Nigeria
Abstract: This paper is aimed at monitoring and predicting annual runoff of Port Harcourt city for a classified area type and flat land of 0–5% slope. Mathematical models were developed to monitor and simulate annual runoff of an area type of 30% impervious (paved), 50% impervious (paved) and 70% impervious (paved) within the Port Harcourt city. The analysis of annual rainfall and annual runoff data gives a coefficient of determination of …
Published in Journal of Water Resource Engineering and Management · Vol. 5, Issue 2, 2018 · pp. 29–36 Read article