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255 articles for “data dependence analysis”
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
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Data-Driven Material Design and Performance Improvement: Constructing Sustainable Polymer Nanocomposites Using Deep Learning
Abstract: In the formation of sustainable polymer nanocomposites, the effective material techniques are required to balance the mechanical qualities, environmental compatibility and processing efficiency. The optimization of polymer matrix, nanofiller loading, processing conditions and material properties is typically time consuming, resource intensive and highly dependent on trial-error methodology using standard experimental techniques. The present work provides a data-driven approach that combines deep learning with sustainable polymer nanocomposite design for predicting and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Analysis for Ranking of Web Pages
Abstract: AbstractThe success of the search engine depends upon its ability to rank Web pages given in the result the objective of the ranking mechanism is to arrange the results according to their relevance. There are several ranking techniques for efficient ranking of the web page has been proposed. With the help of a literature survey, it has been tried to know the strengths and weakness of each algorithm.Keywords: Content ranking, …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 1, 2019 · pp. 13–16 Read article
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Experimental and Polynomial Regression Modelling of Tensile Characteristics of Hybrid Jute/Hemp Fiber Composites
Abstract: The present study aims to develop hybrid jute-hemp fiber/epoxy composites by the hand lay-up process with 60% of fiber reinforcement and 40 % of matrix ratio. To measure the change of tensile properties, prepared hybrid composites were tested for normal tensile strength and edge notch tensile (ENT) test as per the ASTM standards. Findings show that, developed composites with reported tensile strength followed by comparing it with fracture toughness. Experimentally, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 47–58 Read article
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Determinants of Time on the Market and its Effect on Sales Price for Developed Residential Land in Akure, Nigeria
Abstract: This research work examined the contributing factors of time on the market (TOM) on developed residential property market in Akure. It also examined the effect the time lag has on the sales price. The data for the study was collected through structured questionnaires administered on principal partners of the 20 estate surveying and valuation firms in Akure as contained in the, 2014 register of the heads of firms of the …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 1–12 Read article
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Integrated Water Balance and Water Stress Index–Based Sustainability Assessment of a Semi-Arid Island Ecosystem
Abstract: Freshwater scarcity is an increasingly critical challenge in semi-arid island environments due to limited natural water availability, high dependence on seasonal rainfall, growing population pressure, and expanding agricultural activities. Island ecosystems are particularly vulnerable to water stress because they often lack perennial surface water sources and rely heavily on groundwater recharge during short and highly variable monsoon periods. This study presents a comprehensive assessment of water demand, post-monsoon water availability, …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 26–41 Read article
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AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article
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Seismic Hazard Evaluation through Attenuation Law Derivation and Response Spectrum Design: Bangladesh Case Study
Abstract: Bangladesh, positioned at the confluence of the Indian, Eurasian, and Burma tectonic plates, faces significant seismic hazards due to its complex geological setting. This research focuses on formulating empirical attenuation relationships and Creating a design response spectrum for assessing seismic risks in Bangladesh, using data from ten large earthquakes with magnitudes ranging from 6. 7 to 7. 9. The study creates Ground Motion Prediction Equations (GMPEs) for various structural periods …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 54–63 Read article
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2D QSAR Studies on Some Novel 17a-aza-D-Homo Steroids as 5α-Reductase Inhibitors
Abstract: The major circulating hormone dihydrotestosterone (DHT) is responsible for the development and progression of benign prostate hyperplasia (BPH). Dihydrotestosterone (DHT) is by produced by NADPH dependent reduction of testosterone (T) under the catalytic effect of the enzyme 5α-reductase (5 alpha R). Inhibition of 5α-reductase enzyme is the novel approach for treatment of BPH. Present work describes relationship between the 5α-reductase inhibitory activity for structurally related amides and esters of 17a-Aza-D-Homo-17-one …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 3, Issue 2, 2016 · pp. 1–14 Read article
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Exploring the Influence of Colors on Primary School Learning Environments: A Psychophysiological Perspective
Abstract: Primary schools are thought of as a child's first educational experiences and should be planned with a supportive learning environment that supports the desired learning goals. This study's primary goal is to investigate how colors, a significant visual component of design, affect a child's psychophysiological and behavioural characteristics. The impact of prolonged exposure to a monochrome classroom on primary education is examined in this study. Depending on how color is …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 01–23 Read article
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Evaluation and Analysis of Fire load in Storage Facility of Manufacturing Industry
Abstract: In recent years, industrial and residential fire is drawing more and more concerns. According to official government data, there have been numerous fire accidents in the industrial sector, leading to both casualties and significant property damage. Of particular concern are certain buildings in the pharmaceutical industry where large quantities of highly flammable and toxic substances are stored in confined spaces. This paper aims to examine the amount of flammable and …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 2, 2023 · pp. 1–7 Read article
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A Comparative Analysis of Factors Contributing to Relapse in Alcohol and Opioid Dependence Among Patients Admitted to Selected Hospitals in Ludhiana, Punjab.
Abstract: Introduction: Substance abuse involves the dangerous or detrimental use of psychoactive substances, such as alcohol and illegal drugs. The use of these substances can result in dependence syndrome, which encompasses a range of behavioral, cognitive, and physiological effects that arise from ongoing substance use. Objectives: This study was carried out to examine the factors linked to relapse in alcohol and opioid dependence among patients admitted to selected hospitals in Ludhiana, …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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The Heat of Competition: Assessing Climate Vulnerabilities and Adaptive Governance in Endurance, Winter, and Youth Sports
Abstract: Background: Climate change is fundamentally reshaping the environmental parameters of global sport, posing unprecedented risks to athlete health, safety, and performance. As rising temperatures, frequent extreme heat events, and deteriorating air quality become the new normal, athletic environments from community fields to elite international arenas face an existential threat. Purpose: This study provides an interdisciplinary synthesis of the multifaceted impacts of climate change on athletes, integrating evidence from sports medicine, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 9–17 Read article
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Validating the Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage dataset using Terra MODIS NDVI anomaly.
Abstract: The Gravity Recovery and Climate Experiment (GRACE) is the advance tool for mapping the changes in the gravitation field of the earth. The satellite launches in 2002 and the follow off mission is in 2016. The gravitational changes of the earth are downscaled into the changes in the mass with the different algorithm by three institutions. Further the mass anomaly is converted into the equivalent water thickness of the terrestrial …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 1, 2022 · pp. 19–28 Read article
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Correlations for some Thermal Hydraulic Parameters for a Pressurized Water Reactor
Abstract: Pressurized Water Reactor (PWR) constitutes majority of nuclear power plants used worldwide because of its stability which enhances operability. However, the design and safe operation of the PWR is dependent on certain thermal hydraulic parameters such as friction factor and heat transfer. In this study, therefore the correlations for the calculation of the two important thermal hydraulic parameters are presented. Correlations used include: Dittus-Boelter and Chilton-Colburn for heat transfer, Blasius …
Published in Journal of Nuclear Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 1–10 Read article
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Biometric Revolution in Automotive Security: Advancing Vehicle Protection Through Bio-Authentication Systems
Abstract: Concerns about security are rising as a result of the quick development of automobile technology and the rise in car theft and illegal entry. Both contemporary smart key solutions and older key-based systems have flaws that call for stronger security measures. By utilizing distinct physiological and behavioral characteristics, biometric authentication offers a novel way to improve vehicle security. Vehicles can provide tailored and extremely secure access control systems by combining …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 12–19 Read article
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Factors Affecting the Performance of E-commerce Portals: A Study in Varanasi and Prayagraj Districts
Abstract: It is very essential to measure the performance for business entity because the whole business depends upon it. In this way the companies analyse the performance only on the basis of finance which is very relevant. But in the case of e-commerce portals, it is essential that they analyse the performance not only on the finance basis but non-finance aspects like customers’ point of view about the e-commerce portals. This …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 2, 2021 · pp. 11–16 Read article
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Assessment of Water Quality along River Ethiope, Delta State
Abstract: The environment, economic growth, and human health all depend on the quantity and quality of water supplies. Given this, the significance of water quality monitoring cannot be overstated.This study was aimed at assessing the water quality of River Ethiope. To achieve this, surface water samples were collected from Ethiope River along its banks at the following towns; Umuaja (SWI), Ebedie (SW2), Abraka (SW3), Sapele (SW4) and Ughara (SW5) axis during …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article