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454 articles for “Prediction”
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State Wise Covid-19 Case Forecasting Based on Machine Learning by Using SEIR and Time Series Models
Abstract: Forecasting mechanisms based on machine learning have proved to be significant to anticipate in peri-operative outcomes that improve decision-making in the future. Applications where it is necessary to identify risk factors with a negative impact have used machine learning models. To solve problems with forecasting, many prediction techniques are applied. The COVID-19 virus, which is active and is currently regarded as a serious threat to humanity, is shown in this …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 1, 2023 · pp. 1–9 Read article
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Depression Detection System
Abstract: Traditionally, depression was identified through in-depth clinical interviews, during which the psychologist would analyze the subject’s responses to ascertain his or her mental condition. With the prevalence of depression increasing, some automated and trustworthy methods of depression recognition are needed. Our Objective it to design a model that can extract relevant features automatically as an input using efficient machine learning algorithms and further detect the depressive state of the user …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 28–37 Read article
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Investigation and Performance of CNT-MOSFET Device Using Quantum-Based Modelling
Abstract: We propose a novel MOSFET design that embodies single wall zig-zag semiconducting carbon nanotubes (CNT) in the channel, as shown in Figure 1. Investigations show that CNTs have high low-field mobilities, which can be as great as 2×105 cm2/Vs. Thus, we predict that MOSFET performance can be improved by embedding CNTs in the channel. To investigate performance of the new CNT-MOSFET device, we develop a methodology that connects CNT modeling …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 3, Issue 1, 2017 · pp. 23–36 Read article
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A Study on Effective Management and Financial Reporting Examines how Artificial Intelligence (AI) Affects Business Subfields
Abstract: This study examines how artificial intelligence (AI) transforms many business domains, including strategy, operations, finance, and marketing, and evaluates how it affects corporate expansion. The main goal is to uncover the mediating functions of excellent financial reporting and effective business management following AI integration. The research highlights artificial intelligence's dominance in commercial decision-making, crediting it to its ability to handle historical data, manage uncertainty, and provide probabilistic forecasts. In particular, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 35–33 Read article
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Use of Machine Learning Algorithms in Power System Load Forecasting: A review
Abstract: The electrical load forecasting has become one of the most important fields of research for secured, efficient, accurate, reliable power dispatch and management. The main aim of load demand forecasting is to predict the load demand for accurate generation scheduling, system security and economic dispatch of load at any time. Many Authors have done research on the evaluation of load forecasting methods, to improve the accuracy of prediction. In load …
Published in International Journal of Microwave Engineering and Technology · Vol. 7, Issue 1, 2021 · pp. 23–30 Read article
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Modeling the Energy Characteristics of Isotropic Harmonic Oscillations using 3D Analysis
Abstract: In this research, a mathematical model was developed to monitor, predict and simulate the energy characteristics of Isotropic Oscillator using 3-dimensional approach. In the model Langrange concept was applied L = , and was expressed as a function of stiffness, k and mass, m, which was modified as . MATLAB R2015 was used to monitor, predict and stimulate the formulated model in relationship with the stiffness varying with mass and …
Published in International Journal of Energetic Materials · Vol. 5, Issue 2, 2019 · pp. 31–41 Read article
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Article on Density Functional Theory Simulation: A Review
Abstract: Density Functional Theory (DFT) is a powerful computational approach in quantum mechanics, widely utilized for studying the electronic structure of atoms, molecules, and solids. It treats electron density as the central quantity, bypassing the complexities of solving the Schrödinger equation for individual electrons. The Hohenberg-Kohn theorem establishes that a system's ground-state energy uniquely depends on its electron density, facilitating a focus on this fundamental property. In DFT, the total energy …
Published in International Journal of Energetic Materials · Vol. 9, Issue 2, 2023 · pp. 1–4 Read article
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Empirical Modelling of Metal Corrosion in Loamy Soil and Saltwater Environment
Abstract: The corrosion rate of metal in loamy soil and saltwater environment was monitored, predicted, and simulated using empirical modeling. The metal under investigation is carbon steel, which is found in a loamy soil and saltwater environments. The carbon steel sample immersed in a saltwater medium exhibited a higher corrosion rate compared to the loamy soil sample. The rise in corrosion of carbon steel can be attributed to the physiochemical characteristics …
Published in International Journal of Metallurgy and Alloys · Vol. 9, Issue 1, 2023 · pp. 20–34 Read article
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A Model to Study the Effect of Homogeneous Nucleation and Emulsifier Amounts on Methyl Methacrylate Emulsion Polymerization in a Seeded Semi-batch Reactor
Abstract: ABSTRACTAn extensive model is developed for methyl methacrylate emulsion polymerization. The assumption of monodispersed particle size distribution is used in developing the model. It is found that inclusion of homogeneous nucleation in the model leads to under prediction of variation of conversion with time. The effects of three different emulsifier amounts on the variation of conversion with time at 50°C isothermal reactor operation, keeping all the other ingredients constant are …
Published in International Journal of Polymer Science and Engineering · Vol. 5, Issue 2, 2019 · pp. 9–17 Read article
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Evaluation of Response Characteristics of Distillation Column
Abstract: In this paper mathematical model was developed to monitor, predict and control the effectiveness of the controller designed with the principle of various responses. The result obtain in the investigation demonstrate the usefulness of input, ramp, and impulse response in monitoring, predicting and controlling the separation of the distillate product from the reflux for effective performance evaluation of the distillation column. The model evaluated the impact of feed tray, reboiler …
Published in International Journal of Polymer Science and Engineering · Vol. 6, Issue 1, 2020 · pp. 32–43 Read article
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Optimization of Effects of FMEA to Enhance Quality and Efficiency of CNC Machines in Valve Manufacturing Industry
Abstract: Failure mode and effects analysis (FMEA) is a systematic method for identification and preventing problems of products and process before its occurrence. FMEA focus on preventing defects, enhancing safety and increasing customer satisfaction. The FMEA needs to define parameters such as Severity (S), Occurrence (O), Detection (D) and Risk Priority Number (RPN). The conventional FMEA and grey relational analysis approaches are applied in this work. The rankings of the failure …
Published in International Journal of Computer Aided Manufacturing · Vol. 3, Issue 2, 2017 · pp. 11–20 Read article
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Ship Collision analysis of tanker using finite element method at high and low impact velocities
Abstract: The aim of this paper presents a study of ships collision to improve crashworthiness of double side tanker ships and minimize accidental oil spills in the event of collision. Structural design of ships against collision requires prediction of the extent of damage to ship structures subjected to impact. Ship design against conventional loads such as shearing, bending and local buckling and the accidental loads requires applying different stiffening systems for …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 2, Issue 2, 2016 · pp. 33–43 Read article
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FE Modelling and Analysis of Mixed Mode Delamination in Composite Laminates
Abstract: A composite is a structural material that consists of two or more constituents combined at a macroscopic level and not soluble in each other. The advantages of composites over conventional materials are its light weight, high strength, design flexibility, dimensional stability, etc. Although Composite materials are advantageous than conventional materials, there are some defects in composite materials too, which are Fibre-matrix debonding, fibre misalignment, Delamination, Matrix cracking, Impact damage, etc. …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 4, Issue 2, 2018 · pp. 31–57 Read article
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A Study to Assess the Effectiveness of Planned Teaching Programme of HIV/AIDS on Knowledge among First Year Students of Selected College in Shrirampur
Abstract: Introduction: The HIV/AIDS is best viewed as a major epidemic which poses serious challenges tomankind on a global scale. The aim of this study was to assess the HIV/AIDS-related knowledge amongB.Ed. students in Shrirampur and investigate the association between college students’ socio-demographic characteristics and their level of knowledge about HIV/AIDS. Methods: Followingrandom sampling technique, a total of 50 students aged 20–40 years were sampled from college andinterviewed through planned questionnaire. …
Published in International Journal of Nursing Critical Care · Vol. 7, Issue 2, 2021 · pp. 50–53 Read article
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The Moderating Role of Personality Traits on Relationship between Occupational Stress and Quality of Life among Nursing Staff Working in Psychiatry Wards
Abstract: Sample of the study was 150 nurses (males and females) from psychiatry wards of Rawalpindi and Islamabad. Results were generated through SPSS by using regression, t-test, correlation and moderation. Three scales were used in study: Working stress Scale (WSS), Quality of life questionnaire (QOL) and big five inventory (BFI). Results showed that participants were having moderate occupational stress and moderate quality of life and most of the participants showed high …
Published in International Journal of Neurological Nursing · Vol. 6, Issue 2, 2020 · pp. 102–121 Read article
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Hypothesis Types and Research
Abstract: A hypothesis is a statement of the researcher’s expectation or prediction about relationship among study variables. The research process begins and ends with the hypothesis. It is core to the entire procedure and, therefore, is of the utmost importance. Hypothesis is nothing but the heat of the research. In the research without hypothesis, research cannot service properly. The researcher question identifies the study concepts and asks how the concepts might …
Published in International journal of Nursing Science Practice and Research · Vol. 4, Issue 2, 2018 · pp. 78–80 Read article
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A Study to Assess the Effectiveness of Structured Teaching Program on Knowledge and Practice of Mandala Art Therapy Among Adolescent Girls in Selected High School at Kanpur
Abstract: Background: A study was conducted to evaluate the effectiveness of a structured teaching program on the knowledge and practice of Mandala Art Therapy among adolescent girls in high school. Objective: The objectives of the study were to assess the baseline pre-test levels of knowledge and practice regarding Mandala art therapy, to evaluate the post-test knowledge and practice levels after the intervention, to determine the effectiveness of the structured teaching program …
Published in International Journal of Neurological Nursing · Vol. 12, Issue 1, 2026 · pp. 19–37 Read article
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Evaluation of Deformation Behavior of a Structural Pipe Bracket Under Static Loading Using Finite-Element Analysis
Abstract: This study presents a comprehensive structural integrity assessment and comparative static response analysis of an industrial support bracket subjected to varying mechanical loading conditions using the finite element method (FEM). Industrial brackets are essential load-bearing components in mechanical and structural systems, where adequate stiffness, strength, and dimensional stability are critical for ensuring operational reliability and structural safety. The primary objective of this investigation is to evaluate the influence of material …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 · pp. 1–12 Read article
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Faults in On-Load Tap Changer of a Transformer: An Innovative Approach to Mechanical Fault Diagnosis
Abstract: On-load tap changer (OLTC) is very important for maintaining or regulating output voltage, but it has moving contact & complex switching mechanisms which contributes to the failure of on-load tap changer. Faults in OLTC such as Coking Contact wear and damaged transition resistors significantly reduce reliability of transformers which may lead to catastrophic failures of transformers. There are some traditional approaches for diagnostics of OLTC, such as Static Resistance Measurements, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article