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358 articles for “numerical model”
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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An Efficient General Distributed Parameter Approach to the Line Transient Analysis using Interpolating Function
Abstract: This paper presents an efficient technique for the time-domain determination of the electromagnetic transients along general transmission lines. The lines can be uniform or nonuniform. The technique is also applicable to line models incorporating dependent sources, such as the distributed voltage-dependent current sources usually adopted for simulating the line corona. The suggested approach is based on the concept of the interpolating functions for the numerical solution of just two simultaneous …
Published in Trends in Electrical Engineering · Vol. 3, Issue 3, 2013 · pp. 1–21 Read article
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Adaptive Generalized Predictive Control of Anti Lock Braking System
Abstract: Anti lock braking system (ABS) is one of the most important topics in the field of car stability control system design. Among the various control strategies which are common in designing control systems, model predictive control (MPC) received great attention in industries. Independent generalized predictive control (IMGPC) is a new and effective predictive control strategy than can be easily implement on linear system. In this paper a novel adaptive control …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 3, 2015 · pp. 1–12 Read article
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Analysis of Six-Pulse Bridge Circuits Including Zener and Semiconductor Diodes – Part Two
Abstract: The present study offers a generic method for simulating and modelling six-pulse rectifier bridge circuits in the time domain. These circuits can include Zener and/or semi-conductor type diodes or even a mixture of them. The governing system of simultaneous algebraic and differential equations are listed and solved numerically using a computer code written in Mathematica. The flexibly written program can handle voltage sources of any time waveform, frequency or internal …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 2, 2022 · pp. 13–21 Read article
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Prediction of Depth-Induced Stress Distribution and Maintenance Cost Implications for Submerged Structural Components
Abstract: This study investigates the influence of water depth on stress distribution and structural integrity of submerged mechanical components . Structural models fabricated from mild steel, stainless steel, carbon steel, and copper alloy were examined under hydrostatic loading corresponding to water depths between 30 cm and 150 cm. Results indicate that normal and shear stresses increased proportionally with depth due to intensified hydrostatic pressure. Mild steel exhibited the highest stress concentrations, …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 29–35 Read article
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Evaluation of Polyethylene Glycol (PEG)-Based Polymers for Improving Solubility and Bioavailability of Poorly Soluble Drugs
Abstract: A significant barrier to optimizing oral bioavailability is the inadequate water solubility of numerous pharmaceutical compounds. This study examined whether polymer systems utilizing polyethylene glycol (PEG) may enhance the solubility and bioavailability of a poorly soluble model drug. Multiple PEG polymers with molecular weights between 2,000 and 10,000 Da were utilized to produce PEGylated preparations. The formulations were subsequently evaluated for dissolution efficacy, medication loading capacity, particle size, and solubility …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 489–499 Read article
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Review On BIM-Based (Revit+Robot Software) Comparative Wind Load Analysis of High-Rise RCC Buildings in Zone-III, IV and V
Abstract: Wind load is one of the most critical factors influencing the design and serviceability of high-rise reinforced concrete (RCC) buildings. As building height increases, wind-induced effects such as storey drift, lateral displacement, and structural stiffness become dominant design considerations. Numerous studies have been conducted using conventional and advanced techniques such as Finite Element Method (FEM), Computational Fluid Dynamics (CFD), and Building Information Modelling (BIM). However, limited research focuses on comparative …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 27–41 Read article
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Hybrid Numerical–Artificial Neural Network Study of Chemically Reactive MHD Nanofluid Flow Incorporating Thompson–Troian Slip and Stefan Blowing
Abstract: Boundary layer behaviour in chemically reactive nanoliquid is significantly affected by surface conditions, magnetic fields, heat and mas transfer mechanisms. However, the combined impact of Stefan blowing and nonlinear Thompson–Troian slip under inclined magnetic fields remains mostly unexplored, particularly in mixed convection flows. In this research work, the flow of a chemically reactive nanoliquid over a permeable surface is investigated by considering the Troian slip, inclined magnetic fields, Stefan blowing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 409–425 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Study on Improvement of Air Quality in Underground Car Parking Area Using Jet Fan
Abstract: In recent years, jet fans have become a popular alternative to traditional ducted systems for ventilating pollutants in large parking areas like underground car parks and tunnels. Proper forced draft ventilation is necessary to remove harmful pollutants, such as vehicle exhaust fumes and smoke in the event of a fire. It is crucial to have a quantitative understanding of how exhaust gases, containing various toxic particles, propagate in these areas.So …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 2, 2023 · pp. 29–44 Read article
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Electromagnetic Transients in Strongly Non-Uniform Overhead High Voltage Lines
Abstract: This paper addresses the electromagnetic transients in high strongly non-uniform overhead voltage lines. For their simulation, a novel Laplace-domain approach has been introduced. The voltage and current patterns in terms of location and complex frequency are determined by a set of simultaneous algebraic and partial differential equations. To solve them numerically, an effective Mathematica code is proposed. By contrasting the outcomes of their application to multiple case studies with those …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 30–36 Read article
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Advancing Healthcare Systems: A Machine Learning Approach to Multi-Disease Prediction
Abstract: The integration of machine learning algorithms in healthcare has revolutionized the way we approach disease prediction and diagnosis. An attempt to employ machine learning techniques to forecast numerous diseases is presented in this study. A diverse dataset containing patient records, medical history, and relevant features for various diseases was used to develop predictive models. Feature selection and normalization were among the preprocessing methods used to clean and prepare the data. …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 1–6 Read article
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A Vehicle Emission Tax Model: To Promote Adoption of Zero Emission Vehicles for Indian Context
Abstract: Vehicle tailpipe emissions have been regulated by the authorities over the period of time forcing vehicle manufacturers in improving engine technologies to comply with the government stipulated norms. Improvement in engine designs has reduced vehicle tailpipe emissions to the extent of emissions to meet the notified norms. Historically, such a reduction in vehicle emissions has been achieved in steps/stages as and when new emission norms were notified. It is proposed …
Published in Journal of Automobile Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 1–10 Read article
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Optimization algorithms for multi objective problems and its application to sustainable sources for supplementing energy crisis
Abstract: Optimization, also called mathematical programming, is a collection of mathematical ideas and techniques used to solve quantitative issues in a variety of areas, including physics, biology, architecture, economics, and business. The subject evolved out of the recognition that quantitative issues in apparently disparate disciplines share significant mathematical features. As a result of this similarity, a wide variety of issues can be articulated and solved utilising the unified set of concepts …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 1, 2022 · pp. 19–25 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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Analysis of Steel Chip Fiber Reinforced Composite Dual Pile Under Lateral Load Conditions on Sloping Terrain
Abstract: Pile foundations, in addition to supporting vertical loads from superstructures, are subjected to lateral stresses arising from seismic activities, wind gusts, water currents, and traffic impacts etc. Failure to account for these lateral forces can pose significant risks if the structure is expected to encounter any form of lateral pressure. Previous research has investigated the behavior of individual composite piles under horizontal forces, considering different soil properties, to determine the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 210–220 Read article
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Mathematical Modeling of Tumor Growth and Immune System Interaction Incorporating Time Delays and Suppression Effects for Tumor Control
Abstract: Cancer growth is a complex biological process influenced by various factors, including the dynamic interaction between tumor cells and the host immune system. Mathematical modeling serves as a powerful tool to understand these interactions and predict the outcomes of different therapeutic strategies. This study presents a mathematical framework that captures the essential dynamics of tumor-immune interactions, specifically incorporating the effects of time delay and immune suppression mechanisms. Time delay accounts …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 · pp. 25–34 Read article
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An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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Experimental, Analytical and Numerical Study of Energy Absorption Properties of Aluminum Crush Boxes with and without Buckling Initiators (Axial Loading)
Abstract: The crashworthiness in automobile is stated as the capability of a passenger car and its interior arrangements to safe-guard occupants from harm. Whenever an accident occurs, the passengers in the car can be injured due to one of the following reasons: (1) excess acceleration force; (2) physical injury from contact with injurious surfaces, and; (3) exposed to fire, smoke, and chemicals released during accidents. Thus effective crashworthiness design must take …
Published in Journal of Automobile Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 1–9 Read article
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The Estimation of Time-varying Parameters – A Malliavin Calculus Approach
Abstract: The Malliavin derivative of the Malliavin calculus is used to estimate the time-varying amplitudes that appear in the sum of signals or time-varying regression models. A closed form solution is obtained for the estimates of the time-varying amplitudes. The duality principle of the Malliavin calculus is then used to find a numerically tractable expression for the estimates. Given are examples and comparisons to existing methods.
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 93–105 Read article