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46 articles for “Inverse Method.”
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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 …
Published in Trends in Machine design Read article
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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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Feature Selection and Weighted Based Optimized Weight based Multi-Tier Stacked Ensemble (WMTSE) Classification for Twitter Sentiment Analysis
Abstract: AbstractThis research work concentrates on both feature selection and classification methods for utilizing twitter data. A new classifier is introduced for classifying “tweets” into positive, negative and neutral sentiment. The system contains four steps: Preprocessing by Tokenization, Text Cleaning, Part of Speech (PoS) Tagging, Stemming and Stop Words Removal, Feature Extraction by Bag-of-words (BoW), Lexicon-based features and Term Frequency- Inverse Document Frequency(TF-IDF), Feature Selection by Binary Swallow Swarm Optimization (BSSO) …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 20–23 Read article
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Pressure Data Analysis and Reservoir Parameter Estimation of Kailastilla Gas Field (Well No. KTL-01 and KTL-02)
Abstract: Well testing has been the subject of research for many decades. Well tests are performed in order to estimate reservoir properties. These estimations are needed to predict the amount of oil or gas that can be produced, and to determine a strategy how to produce this predicted amount. The current method to estimate the reservoir properties seems cumbersome and inefficient. Also, uncertainty regions of the estimated properties are not yet …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 92–102 Read article
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Quasi-Static Thermal Stress Analysis in a Thin Circular Cylinder Due To Internal Heat Generation Under Transient Temperature Conditions
Abstract: This paper is concerned with inverse quasi-static thermal stress analysis in a thin circular cylinder due to internal heat generation under transient temperature conditions. The internal heat generation is modeled as a cylindrical surface heat source located in the annular region along the axial length of the cylinder. This source is placed concentrically inside the cylinder and begins releasing heat spontaneously at a specific point in time. The thin circular …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 17–28 Read article
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Inverse Model for Predicting Thermal Abnormality of the Transient Process Triggered by Defective Electronics Element
Abstract: The paper presents a model for predicting thermal abnormalities in Printed Circuit Boards (PCBs) by approximating the thermal process of electric elements with heating from point sources. Circuit board heat sources are defined as point and non-point. The point heat source is a small electronic heating element that can be approximated as having originated from one point on the circuit board. A non-point source is one with heat distributed over …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 24–31 Read article
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Investigations on Piezoactuator-Based Active Vibration Isolation for Tool-Based Micromachining Applications
Abstract: Stacked piezoactuators are suitable actuators for active vibration isolation systems due to their high stiffness and fast response. However, they exhibit hysteresis nonlinearity between applied voltage and the resulting displacement. In this paper, Bouc-Wen model is used to model the hysteresis nonlinearity of stacked piezoactuator. The model parameters are estimated from the experimental voltage-displacement data of a stacked piezoactuator using “Trust-region nonlinear least square method” in MATLAB Simulink. The resulting …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 1, 2015 · pp. 41–49 Read article
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Client Satisfaction and its Associated Factors towards Maternal and Child Health Services in Mekelle Health Centers, Ethiopia, 2015
Abstract: The health of the mother and child constitutes one of the most serious health problems affecting the community, particularly in the developing countries. Client satisfaction is fundamental for further improvement of quality of health care delivery system in general and maternal and child health care services in particular. However, studies on the level of client satisfaction with maternal and child health care service are lacking. So, the purpose of this …
Published in Research and Reviews : A Journal of Immunology · Vol. 6, Issue 1, 2016 · pp. 1–5 Read article
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Evaluation of Surface Replication of Injection Molded Products Using a Diffraction Method
Abstract: ABSTRACT An evaluation method of surface replication for molded parts, which utilizes optical diffraction phenomena, is proposed. In general, the intensity of the diffracted light increases as the replication ratio becomes large, which leads to the increase in directly transmitted light. As a result, the surface in highly replicated region appears to be darker compared with the other region. An inversely proportional relationship between the 0th-order diffraction efficiency and the …
Published in Trends in Opto-electro & Optical Communication · Vol. 2, Issue 1, 2012 · pp. 18–27 Read article
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Artificial Intelligence in Trigonometry: Innovations, Applications, and Future Prospects
Abstract: Artificial Intelligence (AI) has transformed numerous scientific fields, yet its integration with classical mathematics such as trigonometry is still emerging. This paper explores how AI enhances trigonometric problem solving, learning, and real-world applications. We analyse AI-driven tools for teaching trigonometry, AI in geometric and spatial reasoning, usage in robotics and computer vision, and future directions for research. Key challenges, methodologies, and case studies are discussed to provide a comprehensive overview …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Study on Computer Vision: Techniques, Algorithms and Application
Abstract: This study gives a brief explanation or idea about what computer vision is and how it is implemented. Computer vision has so many different applications which are being used and are also under development for future enhancements. All this information can be found here in this research work. Computer vision is a branch of computer science that aimed at developing digital system, which is capable of processing, analysing, and comprehending …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 1–8 Read article
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Advances in Membrane Technology: A Comprehensive Review of Materials, Processes, and Applications
Abstract: Membrane technology has become a critical platform for sustainable separation processes across water treatment, energy generation, chemical processing, and healthcare. Over recent decades, advances in materials, fabrication methods, and process design have dramatically expanded the performance, efficiency, and applications of membrane-based systems. Polymeric membranes dominate the industry due to cost-effectiveness and scalability, while ceramic, metallic, and composite membranes offer enhanced thermal and chemical resistance for specialized environments. Nanostructured and bio-inspired …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Impact of Smartphone Use on Health Status and Study Habits Among Students: A Study of Self-Financing Nursing Colleges
Abstract: Background: The proliferation of smartphones within academic environments has introduced far-reaching consequences for both physical and psychological well-being and academic engagement. Nursing students, whose professional formation depends on concentrated learning and sound clinical reasoning, represent a particularly vulnerable yet understudied group within this discourse. Objective: This systematic review synthesizes peer-reviewed evidence examining the multidimensional impact of smartphone use on the health status and study habits of students enrolled in self-financing …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 2, 2026 · pp. 31–41 Read article
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Early Pregnancy Levels of Fasting Glucose, HbA1c, and Adiponectin as Predictors of Gestational Diabetes Mellitus Among Pregnant Women in Tamil Nadu, India
Abstract: Background: Gestational diabetes mellitus (GDM) is rapidly becoming a major public health issue across India, and Tamil Nadu continues to report some of the country’s highest incidence figures. Identifying women at elevated risk during the first trimester allows health workers to intervene early and improve outcomes for both mothers and babies. This research, therefore, examines whether fasting plasma glucose, glycated haemoglobin, and adiponectin measured at that initial visit can reliably …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 10–18 Read article
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Navigating the Dual Edge: A Comprehensive Technical Survey of Security, Privacy, and Countermeasures in the Era of Artificial Intelligence
Abstract: Artificial intelligence (AI) is seamlessly woven into vital sectors, such as self-driving cars, high-speed trading systems, and defense strategies; it has triggered a counterintuitive development in advanced cyberattacks. This survey paper attempts to perform an in-depth technical analysis of the “AI attack surface.” There are threats across three main vectors. Data integrity attacks focus specifically on examining “clean-label” poisoning and backdoor injection. Model confidentiality breaches discuss the mathematics behind model …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Quantitative Image-Based Assessment of Degradation Patterns in Polymer-Based Medical Implants
Abstract: Polymer-based medical devices are widely used in clinical practice, where long-term material degradation can compromise performance and patient safety. Traditional polymer degradation studies predominantly rely on laboratory-based experiments, which often fail to capture real-world operational and usage conditions. In this study, a multimodal, data-driven framework is proposed for the quantitative assessment of degradation patterns in polymer-based medical devices using publicly available clinical failure data. Structured operational parameters, including cumulative usage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1510–1518 Read article
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On The Time-Domain Analysis of the Electromagnetic Transients in High-Voltage Line Towers
Abstract: This paper presents an efficient and direct method for the time-domain transient analysis of high voltage power line towers. A Mathematica-based numerical solution of the governing set of simultaneous partial differential and algebraic equations is proposed. The results of a corresponding computer code are presented and discussed. A comparison with other more sophisticated analytical time-and Laplace-domain approaches is presented. In addition to the possible use of the EMTP transients’ program, …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 2, 2023 · pp. 12–20 Read article
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Exploring Antimalarial Activity of Chalcone Derivatives through QSAR
Abstract: Background: The core structure of chalcones contains a reactive α,β-unsaturated system within the aromatic rings, which plays a key role in mediating various biological effects. These effects include enzyme inhibition, anticancer activity, anti-inflammatory properties, as well as antibacterial, antifungal, antimalarial, antiprotozoal, and anti-filarial actions.Modifying the structure by introducing substituent groups to the aromatic ring can enhance potency, reduce toxicity, and expand their range of pharmacological actions.Methods: A total of twenty-seven …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Exploring the Role of Small Dense LDL-C and Paraoxonase-I Activity in Lipid Profile Alterations in Postmenopausal Women: Evidence from a Population-Based Study in Punjab, India
Abstract: Background: After menopause, women face a higher risk of cardiovascular disease (CVD) because hormonal changes impact how their bodies process fats. This study aimed to explore the relationship between small dense LDL cholesterol (sdLDL-C), lipid profile, PON1 levels, thyroid function, CBC parameters, and cardiovascular risk in postmenopausal women (45–60 years) in Punjab, India. sdLDL-C is more atherogenic than larger LDL particles, while PON1, linked to HDL, offers heart protection. Thyroid …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 45–49 Read article
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Graph Neural Networks for Molecular Scale Property Prediction and Inverse Design of Thermoset Polymer Nanocomposites: A Computational Framework
Abstract: Thermoset polymer nanocomposites exhibit properties that are highly sensitive to molecular scale formulation decisions, yet the vast design space remains largely unexplored because of the high cost of experimental characterisation and fully atomistic simulation. This paper presents TNC GNN, a dual mode graph neural network framework developed for the computational design of thermoset nanocomposite formulations. The forward module employs an attention augmented Message Passing Neural Network with 3D geometric encoding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article