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1790 articles for “RANS”
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Comparison Analysis of Transformer Boosting and Induced Degeneration Topology Design of LNA for Millimeter Wave Frequency Range Using Polymeric Substrates
Abstract: In this study, a comparison between transformer boosting and source degeneration LNA topologies is conducted using two polymeric substrates—Polyimide (PI) and Liquid Crystal Polymer (LCP)—for millimeter-wave (mmWave) applications. With growing interest in flexible and high-frequency electronics, polymeric materials offer unique advantages such as low dielectric constants, mechanical flexibility, and thermal stability. The analysis explores gain, return loss, and noise figure performance while evaluating the influence of dielectric properties on the …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 2, 2025 · pp. 1–24 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 Read article
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Comparative Analysis of Pond Ash as a Partial Replacement of Sand as Subbase Material for Concrete Paver Block Hardstand sustaining storage of Bulk Cargo
Abstract: This work presents an industrial waste-derived subbase material that can take the place of conventional granular material for subbase in hardstand foundation construction. This industrial waste hugely deposited in the ash lagoons namely Pond Ash (PA) which is globally generated at an amount of 780 Metric Tons from thermal power plants annually ,as foundation material for hardstand construction, will not only help the cause of residual waste disposal problems but …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Climate Change Including Forest Fire Prediction using Machine Learning and Deep Learning
Abstract: Climate change alludes to long haul shifts in temperatures and atmospheric conditions. These movements might be regular, for example, through varieties in the sun-oriented cycle. In any case, since the 1800s, human exercises have been the fundamental driver of climate change, basically because of consuming fossil fuels like coal, oil and gas. Many individuals think climate change mostly implies hotter temperatures. Be that as it may, the temperature climb is …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 Read article
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Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
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Liposomes Innovative Role as a Drug Delivery System: A Detailed Analysis
Abstract: The first nanomedicine to be approved for use in clinical settings was liposomes. These are the spherical vesicles with a bilayer of phospholipids enclosing a middle empty aqueous region. Because of their extraordinary potential to stop medication deterioration and lessen unwanted effects, liposomes are being utilized more and more for targeted drug distribution. For targeted drug delivery, the pharmaceuticals can be integrated into the liposomes' aqueous space or phospholipid bilayer. …
Published in Trends in Drug Delivery · Vol. 11, Issue 2, 2024 · pp. 25–32 Read article
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IoT-Based Anti-Theft GPS Tracking System for Real-Time Vehicle Monitoring
Abstract: For the last six decades, advances in global positioning systems (GPS) technology for tracking vehicles have greatly enhanced their ability to secure, monitor, and track vehicles. However, many conventional methods using GPS to track vehicles have been limited by the scope of their/its operational communication range. This has reduced their effectiveness in terms of being able to track those vehicles once they are out of the limits of the original …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 22–28 Read article
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SmartTrack : Advanced Attendence System using LR RFID
Abstract: This project presents the design and implementation of a long-range RFID attendance system aimed at transforming how educational institutions track attendance by making the process faster, more accurate, and completely contactless. Tradi- tional methods, whether manual roll calls or short-range RFID scanners, often interrupt class routines and leave room for errors or proxy attendance. To address these issues, the proposed system integrates long-range RFID readers, beam sensors, and ESP32 microcontrollers …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 Read article
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Zolmitriptan Mouth Dissolving Tablets: Development of Formulas and Invitro Evaluation
Abstract: Pharma Burst ODT super disintegrants were used in different concentrations to manufacture Zolmitriptan fast dissolving tablets by a direct compression method. With a 28° angle of repose, there is good flow. The densities for bulk and tapped materials are 0.410 (g/ml) and 0.500 (g/ml), respectively. The compressibility index and Hausner ratio have values of 19.05 and 1.24, correspondingly. According to IP standard, weight variation test results range from 121.4 mg …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 1–15 Read article
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Optimizing Heart Disease Prediction: Comparative Analysis of Machine Learning Algorithm for Early Detection
Abstract: The expanding realm of data analysis holds considerable importance in healthcare, particularly in the medical sector where forecasting heart disease is considered a complex endeavor. Early prediction of serious health conditions can be the determining factor between survival and fatality, with heart disease being one such critical health issue. Over the past decade, the main reason for death has been heart disease. Heart disorders come in many different forms, and …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Dual Fuel Cell Power System for Electric Vehicles
Abstract: The paper introduces a new power system for electric vehicles (EVs), consisting of a dual fuel cell pack, enhancing the EV performance and improving the energy rate. The power system topology consists of a Proton Exchange Membrane Fuel Cell (PEMFC), which powers the vehicle, and an auxiliary Direct Methanol Fuel Cell (DMFC), which supplies energy to an electrolyzer for hydrogen production and services the electric vehicle ancillary equipment. The hybrid …
Published in Trends in Machine design · Vol. 11, Issue 1, 2024 · pp. 10–19 Read article
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Temperature dependence of Schmidt number of composite material based liquid lithium
Abstract: This work presents a simple formalism for Schmidt number and its temperature dependence for liquid lithium. It is explained that the temperature dependence of Schmidt number (Sc = η/ ρD) can be understood through dependence of topological-short-range-order (TSRO) parameter on temperature. Expression for Schmidt number has been deduced in terms of average potential energy US of superficial core, probability of diffusional displacement (P) and the TSRO parameter (x) . Calculations …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 206–212 Read article
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Customer Churn Prediction Using ML Algorithms
Abstract: Comprehending customer churn is essential for businesses aiming to enhance and sustain customer relationships. This study introduces a machine learning approach aimed at forecasting customer churn by leveraging demographic and behavioral data. Our research involved developing predictive models using support vector machines (SVM), random forests, and decision trees, evaluating their efficacy using real-world data from the telecom industry. Our findings underscore that random forests consistently outperform SVM and decision trees …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 70–75 Read article
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Comparison of Intravenous Lignocaine and Esmolol in Attenuating Hemodynamic Response to Laryngoscopy and Endotracheal Intubation
Abstract: Objective: This study aimed to evaluate the effectiveness of intravenous lignocaine versus esmolol in minimizing the hemodynamic response during laryngoscopy and intubation. Methods: This prospective, randomized controlled trial included patients scheduled for elective surgery under general anesthesia. Participants were randomly allocated to receive either intravenous lignocaine (Group L) or esmolol (Group E) prior to induction. Hemodynamic parameters—such as heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), and …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 3, 2024 · pp. 29–44 Read article
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Charging System for Electric Vehicle and Hybrid Electric Vehicle in Running Condition: A Review
Abstract: This study examines comparative studies of three different charging systems used in electric vehicles while they are moving or operating. It also deals with the idea of using an alternator at each wheel of the vehicle to charge the non-connected set of batteries, as well as a brief explanation of the principles, mechanisms, design, and constraints of fuel cells, solar panels, and regenerative brakes. These are some of the most …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 10–18 Read article
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A Review study of Mn-Zn Ferrite with Applications and Synthesis processes
Abstract: The distinct magnetic characteristics and adaptability of Mn-Zn ferrites make them broadly applicable in a wide range of industries and applications. Temperature stability, high electricity resistivity, magnetic permeability, permittivity, saturation magnetization, and low power losses are among the characteristics of Mn-Zn ferrites. These ferrites particularly in the form of magnetic nanoparticles, have garnered significant interest in cancer research and therapy and the biomedical field. Researchers are keenly interested in the …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 2, 2024 · pp. 15–26 Read article
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The Factors that Cause Water Pollution: Issues and Remedies
Abstract: Water, a vital and indispensable natural resource, plays a fundamental role in sustaining life on Earth. Known as a universal solvent, it supports a wide range of essential life processes. Its uses span various sectors, including drinking, household needs, industrial production, power generation, and agricultural irrigation. The significance of maintaining clean and safe water supplies cannot be overstated, as it directly influences human health, environmental stability, and socioeconomic development. This …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 2, 2025 · pp. 1–16 Read article