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1732 articles for “Predicting”
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The fundamental premises of efficient linear regression and applying Regression
Abstract: Linear regression is a statistical technique for estimating the value of a dependent variable from an independent variable. Linear regression is a way to assess how two variables are related.A dependent variable is predicted using this modelling technique based on one or more independent factors. Many analyses are based on linear regression. Sometimes the data must be changed to satisfy the needs of the analysis, or extra room must be …
Published in Trends in Machine design · Vol. 9, Issue 2, 2022 · pp. 21–26 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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GPS-based Dengue Risk Index App
Abstract: Our idea is to develop GPS-based dengue risk index app which is mainly used to predict the outburst of dengue diseases in user’s location. The prediction is based on analysing climatic condition. The climatic parameters that are used in analysis are temperature, rainfall and humidity. Linear regression algorithm is used to extrapolate in the multidimensional space to predict the threat of dengue exploration at user’s location. The dengue risk index …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 1, 2018 · pp. 12–16 Read article
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Stock Market Forecasting Using Artificial Neural Networks (ANNs): A Review
Abstract: AbstractThis paper reviews all recent work done for stock market prediction using machine learning and artificial intelligence (AI). Artificial neural networks (ANNs), a field of artificial intelligence (AI), is relatively latest, dynamic and promising technique in stock market forecasting, an area that has been of much research. From this literature review, it is concluded that ANNs is very valuable for predicting world stock markets.Keywords: artificial neural network (ANNs), stock market, …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 2, 2013 · pp. 18–29 Read article
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Generating Weights for Fuzzy Decision Making Mechanism to Diagnose Heart Disease
Abstract: AbstractHeart disease is one of the diseases spread around the world. It suddenly kills the human community. So use of fuzzy logic to diagnosis the heart disease is essential. So the study was conducted with the following components. They are fuzzification, fuzzy decision making mechanism and defuzzification. The crisp values are changed into fuzzy values by fuzzification. Fuzzy decision making mechanism is based on adaptive neuro fuzzy inference system which …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 7–13 Read article
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Tools and Techniques for Whole-Genome Alignments
Abstract: The prediction of evolutionary relationships between two or more genomes at the nucleotide level is known as whole-genome alignment (WGA). It possesses characteristics of both gene orthology prediction and collinear sequence alignment. WGAs are useful for genome-wide analyses like phylogenetic inference, genome annotation, and function prediction. So many solutions have been developed despite the fact that this problem is difficult. This article provides an overview of the approaches used to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 2, 2022 · pp. 36–38 Read article
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Determinants of Short Inter-Birth Interval among Child Bearing Age Women in Mekelle City, Northern Ethiopia: Community Based Case Control Study
Abstract: Background: In Ethiopia, where there is high maternal mortality and fertility rate, enhancing optimal inter-birth interval is one of the key strategies to promote the health status of mothers and their children. The purpose of this study is therefore, to understand the determinants for having short inter-birth interval among women in child bearing age. Methods: This unmatched case-control study involved 330 (110 cases and 220 controls) women in child bearing …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 2, 2018 · pp. 6–20 Read article
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Determinants of Survival among Hemodialysis Patients at Ayder Comprehensive Specialized Hospital, Tigray, North Ethiopia: A Retrospective Cohort Study
Abstract: Background: Chronic kidney disease is a common public health problem with increase the incidence and prevalence, which nearly doubled as a cause of death worldwide. However, the access to care and knowledge about the predictors of survival among hemodialysis patients is extremely limited in Ethiopia. The aim of this study is, therefore, to identify predictors of survival among hemodialysis patients. Methods: A retrospective cohort study was conducted by reviewing records …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 3, 2018 · pp. 22–29 Read article
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Role of AI in waste reduction and energy efficiency
Abstract: Artificial Intelligence (AI) is a significant factor in today’s global trends toward sustainability, as it enables waste reduction and energy optimization. Sustainability is now a strategic priority for many manufacturers, local governments, and logistics companies due to the rising environmental awareness and regulatory pressures. This paper explores the role of AI in facilitating waste management, smart grids, and industrial maintenance and reviewing the existing literature on AI-driven recycling, e-waste management, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 · pp. 43–48 Read article
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AI-integrated Responsive Polymer Composites for Controlled Drug Delivery
Abstract: In the current biomedical engineering, it has been established that the development of smart drug delivery systems has become a paramount of relevance especially in ensuring precise, controlled and targeted therapeutic effects. This paper proposes a responsive polymer composite architecture with built-in AI, which is used to deliver drugs in a controlled manner and involves the development of advanced material design and predictive modeling based on data. Biocompatible materials and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Machine Learning–Assisted Design of High-Performance Biomedical Polymer Composites
Abstract: The high-performance biomedical polymer composite design needs to represent a trade-off between the strength, biocompatibility, and degradation that cannot be accomplished using conventional design methods. The study aims to develop a predictive and optimization framework of composite properties with the help of machine learning. The methods include ANN, SVM, Random Forest, and Gradient Boosting with experiment and simulation data. The results of Gradient Boosting show that the accuracy is 95.9 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Optimizing Performance Characteristics, Thermal Stability, and Manufacturing Performance of Polymer Nanocomposites Using Artificial Intelligence
Abstract: Artificial intelligence (AI) has proven an efficient method to optimize the design and manufacture of polymer nanocomposites, allowing the proper prediction of the behavior of the materials and the results of the processing. This work proposes an AI-based framework to enhance the performance characteristics, thermal stability and manufacturing performance of advanced polymer nanocomposites. The input variables of the proposed framework are the material composition, the nanoparticle concentration, the particle size, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Assisted Kinetic Modeling of PLA Hydrolysis Under Subcritical Water Conditions for Sustainable Polymer Recycling
Abstract: The accumulation of poly (lactic acid) (PLA) in terrestrial and marine ecosystems has intensified the demand for closed-loop, green recycling technologies. Subcritical water (SCW) hydrolysis offers a promising, catalyst-free pathway for the rapid depolymerization of PLA into its constituent monomer, lactic acid. However, the complex, highly non-linear kinetics governing macro-molecular degradation under variable hydrothermal conditions limit real-time process optimization and industrial scalability. This study develops a novel artificial intelligence (AI)-assisted …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 65–74 Read article
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Grid Sensitivity and Its Impact on the Hydrodynamics of a Submerged Vessel
Abstract: Accurate prediction of hydrodynamic characteristics is essential for the design and performance assessment of underwater vehicles and offshore structures. Computational fluid dynamics (CFD) has emerged as an effective tool for analyzing fluid flow behavior around submerged bodies, enabling detailed evaluation of pressure distribution, drag forces, and flow patterns. In this study, the effect of mesh refinement on the hydrodynamic analysis of a DRDC-STR submarine nose section was investigated using ANSYS …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article
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Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management practices. Rapid developments in computer vision (CV), machine learning (ML), deep learning (DL), natural language processing (NLP), and predictive analytics have increased the use of AI in a variety of rural industries. In agriculture, AI-driven technologies support precision farming, crop yield prediction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Google Play Store Analysis
Abstract: Google play store consists of millions of applications and several thousand apps are added on the play store every day. The competition is so fierce that it is really difficult for the developers to find out whether the app that is the product of his hard work is going to be successful or not. The main goal of the study is to create a tool that helps developers and organizations …
Published in Journal of Open Source Developments Read article
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Advanced Quantitative Analysis of Dynamic Recovery during Warm Working of FCC Alloys
Abstract: Metal working processes of warm working require an advanced quantitative analysis of dynamic and static recovery of dislocations to control microstructures and crucial shape forming properties. Feasibility of dynamic recovery by thermal glide and static recovery by climb of constricted jogs, applicable to ausforming, nano bulk forming by SPD and normalizing has been addressed to design new steels, used for hulls, and tribologically superior bearings. Predictive dislocation recovery analysis shows …
Published in Journal of Materials & Metallurgical Engineering Read article
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Heat Sink-PCM Device for PV Efficiency Improvement
Abstract: This paper is focused on the development of a second stage of a previous work where the PV panel efficiency is improved by using a hybrid system made up of a PCM attached to the rear side of the panel. This evolved stage incorporates a heat sink unit to improve the distribution of the heat removed from the panel; this improvement reduces the elapsed time to reach the steady state …
Published in Journal of Thermal Engineering and Applications Read article
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Use of the Computer Statistics in Oncology
Abstract: Currently, the use of computer statistics and computer statistical modeling in oncology for obtaining an accurate diagnosis, determination of the choice of treatment method and its correction in the process of ongoing treatment, prediction of the outcome of the disease, and evaluation of the effectiveness of the chosen treatment tactics is a decisive factor. The use of computer statistics, based on an adapted scientific and statistical package of the SSP …
Published in Research & Reviews : Journal of Statistics Read article