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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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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 19–28 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Failure Analysis of Spur Pinion Tooth of Three Wheeler Gear Box
Abstract: In a gear, various types of damage can occur over a period of its operation. Therefore, it is necessary to establish some tools and techniques for finding failure causes related to the material. In this paper, all possible causes responsible for the spur pinion tooth failure are enlisted and procedures for testing various mechanical properties, chemical compositions are explained. The main objective of this work was aimed at to know …
Published in Journal of Automobile Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 1–5 Read article
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PREDICTING THE COMPRESSIVE STRENGTH OF CONCRETE USING ANN IN MATLAB
Abstract: This research work focuses on the production of Artificial Neural Networks ( ANNs) in the prediction of concrete compressive strength after 28 days. The measurement of the compressive strength of concrete in situ by means of cores cut from hardened concrete is recognised as the most common technique, but the compressive strength of concrete is very difficult to predict because several factors affect it.In this paper , in order to …
Published in Journal of Construction Engineering, Technology & Management · Vol. 10, Issue 3, 2020 · pp. 46–52 Read article
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DISEASE PREDICTION SYSTEM USING MACHINE LEARNING
Abstract: Machine learning (ML) is a rising field. It already plays an important role in many fields, with projects of all sizes showing its positive impact. One such use of machine learning algorithms is in the healthcare field. Medical facilities need to be improved in order to make better decisions about patient diagnosis and treatment options. In this paper, we attempt to use the performance of Machine learning equipment in health …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 2, 2021 · pp. 14–18 Read article
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Using Convolutional Neural Networks (CNN) for Age and Gender Prediction
Abstract: The network, security, and care have all become more dependent on age and gender identification. It's commonly used for children's access to age-appropriate content. To expand its reach, social media uses it to provide layered adverts and marketing. Face recognition has progressed to the point where we need to map it out further in order to achieve more usable results using various methodologies. In this study, we suggest using deep …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 27–32 Read article
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Uncertainty Prediction in Brain Tumour Segmentation
Abstract: Gliomas are one of the most common brain tumour at different levels of the province, with Magnetic Resonance Imaging (MRI) used for diagnosis. In this project, It was asked to try to find uncertainty in the Brain Tumour Segmentation on MRI images using the BraTs19 Dataset and to look at how machine learning algorithms can work with these MRI images. Since these tissues are so large in shape and appearance, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 40–52 Read article
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Reliability Evaluation of Power Distribution Network Considering Uncertainty in Failure
Abstract: With the development of economy and society power planning is facing with the influence of much uncertainty, which are mainly power distribution network. Power system especially at the distribution level is prone to failures and disturbances as many devices are responsible for the successful operation of a radial distribution system. Every time an engineer takes a measurement, the only certainty is that the measurement is not exact; all measurements have …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 1, 2014 · pp. 33–40 Read article
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Early Heart Disease Prediction Using Hybrid Machine Learning Techniques
Abstract: In the contemporary era, cardiovascular disease is one in all the most causes of death within the world. Estimating Heart problems i.e cardiopathy is a crucial challenge within the area of clinical data analysis. Large volumes of data produced by the healthcare sector have been proved to be useful for helping with decision-making and speculation, thanks to machine learning (ML).. Various studies help us to review and supply glimpse into …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 35–41 Read article
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Surface roughness prediction in the turning operation by using experimental results and equation.
Abstract: This paper was discussed the values of surface roughness prediction models for turning EN24/817M40T steel (277 BHN) by using equation and experimental results. A factorial design technique has been used to study the effects of the main cutting parameters such as cutting speed, feed, and depth of cut, on surface roughness. The tests have been carried out using uncoated.A first-order prediction model within the speed range of 80-180 m min-1 …
Published in Journal of Materials & Metallurgical Engineering · Vol. 9, Issue 1, 2019 · pp. 27–30 Read article
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Comparison of RSM and ANN Modeling Approaches in Predicting the Laser Phase Transformation Hardening Parameters on the Heat Input and Hardened-Bead Profile Quality of Unalloyed Titanium
Abstract: In the present work, laser transformation hardening (LTH) of unalloyed titanium, nearer to ASTM Grade 3 of chemical composition was investigated using CW 2kW, Nd: YAG laser. The laser process variables such as laser power, scanning speed, and focused position play a major role in deciding the laser hardened bead quality. Two methods, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were used to predict the heat input and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 1, 2015 · pp. 36–59 Read article
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Determination of Selected Essential (Copper, Zinc) and Non-essential (Lead, Chromium, Cadmium) Heavy Metals in Some Single-use Plastics from Sokoto Metropolis, Nigeria
Abstract: Background and objectives: The objective of this study is to conduct Atomic Absorption Spectroscopy Analysis of selected essential (Cu, and Zn) and non-essential heavy metals (Cr, Cd, and Pb) in selected different single-use plastics that are in contact with food from Sokoto, Nigeria. Methods: The levels/concentrations of heavy metals in plastics were determined using atomic absorption spectroscopy. Findings: Copper levels range of 0.05000.001 to 0.90100.001 (ppm), while zinc levels are …
Published in Journal of Materials & Metallurgical Engineering · Vol. 12, Issue 3, 2022 · pp. 29–37 Read article
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Machine Learning Techniques for Early Detection of Heart Disease
Abstract: Cases of heart disease are increasing rapidly, thus it's important and concerning to be aware of any potential ailment beforehand. This diagnosis is a difficult task that must be completed fast and precisely. The primary goal of this study is to determine which patient, based on different medical features, has a higher chance of having heart disease. We created a heart disease prediction algorithm based on the patient's medical history …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 16–21 Read article
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Prediction of Punching Shear Capacity of Biaxial Voided Slab
Abstract: Biaxial voided slab systems are advantageous due to their reduced self-weight, up to 50 % in comparison with the conventional reinforced concrete solid slab. The reduction in the concrete cross sectional area reduces the shear capacity up to about 40 %. The prediction of punching shear capacity in voided slab is not direct unlike in solid slab. This is because the presence of voids alters the critical failure section and …
Published in Journal of Structural Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 24–33 Read article
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Pipeline Integrity Optimal Maintenance Techniques and Its Reliability
Abstract: This study is aimed at determining the optimal maintenance model for utilizing both preventive and corrective costs control system. It was assumed that operating conditions and pipeline diameters were uniform following the cumulated results and computational analysis. The research included an estimation which shows that the average cost for the installation and of course the maintenance of a healthy and operational pipeline is within $1,989,992 per km. Considering the failure …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 9, Issue 1, 2022 · pp. 23–29 Read article
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Prediction of Mix Ratios for Grade 30 Superplasticized Concrete Using Osadebe’s Regression Model
Abstract: This study developed a model for estimating the compressive strength of grade 30 super-plasticized concrete. The regression model was built using a total of 15 experimental mix ratios. The results of compressive strength at 28 days from the concrete cubes were used for model development. Two cubes (150 mm × 150 mm × 150 mm) were produced per mix ratio, totaling 30 cubes for the 15 trial mix ratios. Osadebe’s …
Published in Recent Trends in Civil Engineering & Technology · Vol. 13, Issue 2, 2023 · pp. 1–10 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
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A DESCRIPTIVE STUDY TO ASSESS THE LEVEL OF STRESS AMONG THE STAFF NURSES OF GOVT.HOSPITAL FATEHABAD
Abstract: The word stress was originally used by Selye. It is defined as an adoptive, responsive to an external situation that results in physical, psychological and behavioral deviation for organizational participants. Stress is the most common condition experienced by workers which occurs when their conflicts between workplace, workload and the individual’s ability to cope with the situation (AGOLLA, 2008). Problem resulting from stress includes -Decline in physical and mental health, Feeling …
Published in Journal of Nursing Science & Practice · Vol. 12, Issue 2, 2022 · pp. 14–18 Read article
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Significant Prolongation of QTc-Interval in Overweight-Obese Hypertensive Patients Does Not Relate to the Obesity as a Risk Factor
Abstract: The duration of QT interval in the electrocardiograph record represents the ventricular repolarization. It is prolonged in women, ageing and using certain medications. In hypertensive patients, prolongation of QT interval is associated with cardiac risk factors and/or the complications of hypertension. This study aimed to measure the uncorrected (QT) and corrected (QTc) intervals using different formulas in overweight-obese patients with chronic hypertension. A total number of 25 healthy subjects and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 5, Issue 1, 2015 · pp. 36–41 Read article
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Assessment of Total Cardiovascular Risk using WHO/ISH Risk Prediction Charts in Chaman Colony, Dhanas, Chandigarh in India
Abstract: Background: Cardiovascular diseases (CVD), largely heart disease and stroke, accounts for almost half of all NCD-related deaths and is now the leading cause of death in low- and middle-income countries (LMIC). There are several risk factors which are responsible for developing CVDs. Many of the risk factors such as smoking, hypertension, dyslipidaemia, diabetes, physical inactivity and obesity are potentially modifiable by health counselling. Cardiovascular diseases are preventable so accurate estimation …
Published in Research and Reviews: A Journal of Medicine · Vol. 7, Issue 2, 2017 · pp. 1–6 Read article