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107 articles for “predictor”
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Generative AI-Based Inverse Design of Sustainable Biodegradable Polymers with Target Mechanical and Thermal Properties
Abstract: The escalating global plastic pollution crisis has intensified the urgent need for sustainable biodegradable polymer alternatives that can match or exceed the performance of conventional petroleum-based plastics while minimizing environmental impact. However, traditional polymer discovery approaches are severely constrained by high experimental costs, protracted development cycles spanning years, and fundamental inability to simultaneously optimize multiple conflicting material properties such as mechanical strength, thermal stability, and degradation kinetics. This study presents …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1285–1295 Read article
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Generative AI for Designing Sustainable Polymer Composites for Renewable Energy Applications
Abstract: Sustainable polymer composites are increasingly required for renewable energy devices, yet conventional trial-and-error formulation cannot efficiently balance performance, processability, recyclability, and environmental constraints. This study proposes a generative artificial intelligence framework for designing polymer composites for photovoltaic encapsulation, dielectric energy storage, polymer electrolytes, and thermal-management systems. Public polymer-property and composite datasets were curated from open databases and published supplementary records. Chemical descriptors, molecular fingerprints, polymer embeddings, processing variables, and sustainability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1232–1257 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 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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Maternal and Infant Pollutant Exposure through Breastfeeding in Industrial Punjab
Abstract: Because of their lasting presence, bioaccumulation in the food chain and/or potential for transferring to infants through breastfeeding, environmentally persistent chemical pollutants, such as per- and polyfluoroalkyl compounds (PFAs), pesticides, heavy metals and industrial emissions, represent significant public health threats. A study was conducted using a structured questionnaire to gather information about maternal demographics (age, education, marital status), how mothers were exposed to environmental contaminants through occupational activities, the ways …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 · pp. 24–34 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Safety Issues with Tower Crane and Remedial Measures
Abstract: Tower cranes are the focus of execution on today’s typical building construction sites. Tower crane has to hoist and transport a variety of loads near and above people, under crowded conditions, occasionally with overlapping work zones, and often within time, budget, and labor constraints. This leads to the safety risk on sites that are intrinsically hazardous. This paper identifies the major factors affecting safety of tower-crane and evaluates the degree …
Published in Journal of Construction Engineering, Technology & Management · Vol. 4, Issue 2, 2014 · pp. 14–21 Read article
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Social Media Analytics for Academic Performance of Students
Abstract: AbstractNowadays social media become the public platform around the world to discuss issues or for getting information, finding friends and many more. It is part for daily life which refers a common activity amongst children, youngsters and emerging adults. Excessive usage of social media may raise the question about the performance of students. Prediction of any event is always fascinating and very important part of the research. In this article, …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 1, 2020 · pp. 21–26 Read article
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Reliability Analysis of a Semi-gravity Retaining Wall Designed to Eurocode 7
Abstract: This research investigated the structural integrity of a semi-gravity retaining wall when subjected to potential sliding and overturning failures, while adhering to the guidelines outlined in Eurocode 7. It is widely acknowledged that the factor of safety alone is insufficient for risk assessment, and previous research has demonstrated the challenges in identifying how much safer a retaining wall becomes as the factor of safety increases. The dependability index, the element …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 3, 2023 · pp. 35–47 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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Electric Vehicle Range Prediction
Abstract: The introduction of new energy vehicles has emerged as a new trend in the automotive industry inresponse to growing energy and environmental issues. The electric vehicle (EV) is the driving force behind newenergy vehicles. The one major problem electric vehicles have always been the distance(range) of the travel and mapto the nearby charging stations. For range prediction in the present study, four machine learningalgorithms—multiple linear regression, random forest regression, polynomial …
Published in Trends in Electrical Engineering · Vol. 13, Issue 3, 2023 · pp. 24–32 Read article
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Feasibility of Using Nondestructive Testing (NDT) in Roller Compacted Concrete Quality Assessment
Abstract: Roller compacted concrete is a no slump, heavy duty concrete usually used in pavement constructed of roadway, parking lots, in areas of frozen environment or aired region where there is shortage of water for curing, and when other paving alternatives do not satisfy the pavement design requirements regarding heavy loading, and nonstandard wheel configuration. The traditional testing e slab samples have been prepared in the laboratory using two types of …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 3, 2015 · pp. 30–39 Read article
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Finding Risk Factors in Thyroid and Cardiovascular System Using Naive Bayesian (NB) Machine Learning Technique
Abstract: Thyroid malady could be a common condition. A TSH test is carried out to check for the capacities of your thyroid organ. Illnesses of thyroid can be caused by conditions which cause thyroid organ over or under function. The test can moreover assist you recognize thyroid conditions some time recently indications happen. It is either as well (hyperthyroidism) or under-active (hypothyroidism), you might know. In case untreated, thyroid clutter may …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 1, 2020 · pp. 1–5 Read article
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Machine Learning Based Smart Aquaponics Farming System
Abstract: For many years, researchers have been studying nutrient management in aquaponic systems. Most have concentrated on adequate nutrition control in an aquaponic setup, but there has been relatively little study on commercial scale applications. For plant growth, it is necessary to measure the level of nutrients present in the soil mixture. In our model, the input data was sourced on some interval of time basis from three commercial aquaponic farms. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 30–37 Read article
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Burden on Caregivers of ESRD Patients on Dialysis Waiting for Kidney Transplantation in a Tertiary Care Hospital
Abstract: End-Stage Renal Disease (ESRD) is a devastating medical, social and economic problem for patients and their families. These patients depend on their family caregivers to assist them with their daily living needs. The aim of this study was to assess extent of burden experienced by caregivers of ESRD patients on dialysis waiting for kidney transplantation in PGIMER, Chandigarh. This was an exploratory study conducted on 91 caregivers of ESRD patients …
Published in Journal of Nursing Science & Practice · Vol. 4, Issue 3, 2014 · pp. 22–29 Read article
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Assessment of Nutritional Status and Other Factors Correlates with Academic Performance of Lower Primary School Children from Mekelle, Northern Ethiopia
Abstract: The need to assess the nutritional status of the children who started school is increasing since it has a great effect for their health; and great achievements in their educational career. The overall objective of the research study was to assess the role of nutritional status on the educational performance of lower primary school children from Mekelle, northern Ethiopia. It was conducted from September to May 2015/16. In this study …
Published in Research and Reviews : Journal of Computational Biology · Vol. 6, Issue 2, 2017 · pp. 1–11 Read article
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Workplace Violence against Women (WPVAW): The Experience among Healthcare Providers in Nigeria
Abstract: Background: Across the world today, the workplace just like any other public space a woman could find herself has become a place where the woman folk get abused by all categories of people they come in contact with, be it colleagues, service consumers, their relations amongst others.Aim: The study was aimed at assessing the prevalence of workplace violence against women, severity and perpetrators of abuse among healthcare providers in the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 1, 2018 · pp. 42–46 Read article
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Association between Maternal Factors and Birth Weight of Children from a Selected Village of Anand District
Abstract: Birth weight of the child is an important predictor for neonatal and infant mortality and morbidity as well as for the nutritional status of the children. There are numerous factors such as maternal physiological, biological and socioeconomic factors leading to low birth weight. A community based cross sectional study was carried out to study the association between maternal factors and birth weight of the children. About 100 mothers were selected …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 21s–24s Read article
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Correlates of Clinical and Dietary Factors on Nutritional Status of People Living with HIV on Anti-retroviral Therapy: A Case-control Study in Central Zone of Tigray, Northern Ethiopia
Abstract: Background: Malnutrition compounds the immunosuppressive effects of HIV and speeds the disease progression among people living with HIV on ART. However, little is documented on the effect of clinical and dietary factors. Therefore, the aim of this study was to determine the correlates of clinical and dietary factors on nutritional status of people living with HIV on ART in central zone of Tigray region, North Ethiopia.Methods: A matched case-control study …
Published in Research and Reviews: A Journal of Health Professions · Vol. 6, Issue 3, 2016 · pp. 11–23 Read article
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Determinants of Teenage Pregnancy and Motherhood in Ethiopia: Analysis of the Ethiopian Demographic Health Survey 2016
Abstract: Background: Teenage pregnancy, a global public health problem, especially in developing countries, refers to a pregnancy when teenage girls, aged 13–19 and considered not to have reached legal adulthood, become pregnant and is said to have wide range of subsequent adverse health, economic and social outcomes. In Ethiopia, where marriage is a universal occurrence, the Federal Democratic Republic of Ethiopia ministry of health is working to alleviate the problem, though …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 3, 2018 · pp. 47–53 Read article