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106 articles for “Resonators”
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Design and Performance Analysis of Microwave Filters and Resonators for High-Frequency Systems
Abstract: Microwave filters and resonators are fundamental components in high-frequency systems, playing a crucial role in signal selection, interference suppression, and frequency stabilization. This review presents a detailed analysis of design methodologies and performance characteristics of microwave filters and resonators used in modern communication and radar applications. Various filter topologies, including low-pass, high- pass, band-pass, and band-stop configurations, are examined with respect to their frequency response, insertion loss, selectivity, and bandwidth. …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 8–16 Read article
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Influence of Polymeric Materials on Osseointegration and Stability of Dental Implants: An In-vivo Resonance Frequency Analysis
Abstract: Osseointegration, the successful integration of dental implants with surrounding bone tissue, is crucial for long-term implant stability. Resonance frequency analysis (RFA) provides a valuable tool for assessing implant stability. This in-vivo study investigates the potential role of polymeric materials used in dental implants, such as surface coatings or membranes, in influencing osseointegration and RFA-measured stability. By analysing the impact of these polymers on factors like cell adhesion, proliferation, and differentiation …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1051–1057 Read article
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The Heart of Charani Poetry: An AI Interpretation of Emotional Resonance
Abstract: Poetry has long been a means of expressing emotions and ideas, yet understanding the emotional depth within poems can be challenging using traditional computer-based tools. This study explores the emotions embedded in Charani poems, an important genre in Indian literature, through the lens of their distinctive poetic style. The primary objective is to develop a novel method of analyzing emotions in Charani poetry, contributing to the broader field of emotion …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 34–39 Read article
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Next-Generation Photochemical Research Using Cathodoluminescence: Mapping Optical Properties and Resonances at the Nanoscale
Abstract: This study explores the principles and diverse applications of CL, particularly in the analysis of inorganic compounds and nanophotonic structures. It examines various facets of CL, including aperture effects, transmission modes, resolution, momentum, scanning techniques, and modulation within CL imaging. The study underscores significant advancements in CL technology, highlighting its utility in characterizing nanostructures, plasmonic materials, and optoelectronic devices. The discussion emphasizes CL's role in mapping the Local Density of …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 01–05 Read article
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Neuroimaging in Clinical Trials for Huntington’s Disease: Emerging Research Findings: The Advancement Directions and Implications
Abstract: Neuroimaging is very important in coordinating and conducting Huntington’s disease clinical trials as a tool in selecting patients, managing safety concerns, and assessing the benefits of interventions. This review presents the current uses and potential future uses of structural and functional magnetic resonance imaging (MRI), diffusion imaging, positron emission tomography (PET), proton magnetic resonance spectroscopy (MRS), perfusion imaging, and magneto encephalography (MEG) in HD trials. We describe how these modalities …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 32–44 Read article
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Feasibility Analysis of Wireless Power Transfer Technologies for Electric Vehicle Charging Applications
Abstract: The rapid pace of electric vehicles (EVs) has heightened the pressure on the need to have flexible, safe, and efficient infrastructures in addition to the plug-in infrastructures. The Wireless Power Transfer (WPT) has become a promising alternative that provides automated charging, better convenience, and a possible integration into the smart highways and urban environment. The present paper provides a feasibility study of the key WPT technologies in EV charging namely, …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 27–38 Read article
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MATLAB Simulation of Partial Power Converter with Dual- Mode Inverter for Solar Conversion
Abstract: The growing insertion of solar photovoltaic (PV) systems in the modern power systems requires high-efficiency, compact and reliable power conversion solutions. The traditional PV conversion system generally uses full-power processed DC-DC converters followed by inverters, which increases conduction and switching power losses, especially at higher power ratings. To overcome these challenges, this paper proposes a partial power processed resonant converter with a dual-mode transformer-less inverter for efficient solar PV power …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 Read article
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Wireless EV Charging Station
Abstract: Higher standards for the ease, safety, and dependability of electric vehicle charging have been proposed in recent years due to the fast development of the electrical vehicle (EV) of the new energy business. Resonant inductive coupling is used to charge wirelessly transmitted power. With the aid of Arduino, the transformer may be reconfigured to transfer energy with less energy loss and less strain on the primary circuit. With minimal energy …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 30–37 Read article
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Quad-Band Notched Small Monopole Antenna with U-shaped Slots and SRRs for UWB Applications
Abstract: A quad-band notched small monopole antenna with U-shaped slots and SRRs for UWB applications is presented in this study. The quadruple band-notched characteristics can be achieved by embedding three U-shaped slots on the radiation patch and two split ring resonators (SRRs) near feed line, respectively. It has a tiny size, only 17 mm23 mm0.508 mm. The experimental and measured results demonstrate that the proposed antenna offers an impedance bandwidth across …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 21–31 Read article
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Comparative Study of Clamped-Clamped and Clamped-Free Elastic Beams Resting on Bi-Parametric Subgrades and Subjected to Concentrated Moving Loads
Abstract: In this paper, a comparative study of clamped-clamped and clamped-free elastic beams resting on bi-parametric subgrades subjected to concentrated moving load has been investigated. This work takes into account the viscous effects of the moving load. The findings are shown graphically. The methods of solution incorporate integral transformation in combination with convolution theory, a version of Struble's asymptotic approaches, and Fourier integral translate with the series representation of the Dirac-delta …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 17–33 Read article
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Koch Slot DRA Antenna Array for Enhanced X-Band Applications
Abstract: This work introduces an innovative method aimed at improving the gain of Dielectric Resonator Antenna (DRA) arrays functioning within the X-band spectrum. The design features a Koch-shaped slot-coupled feeding structure, utilising the properties of a short-ended microstrip line to enhance radiation directionality. The results of the simulation show that compared to conventional rectangular and V-shaped slot designs, the suggested antenna array provides a notable gain enhancement. This performance boost demonstrates …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 8–20 Read article
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Advancing Brain Tumor MRI Segmentation
Abstract: Segmentation of brain tumors in MRI scans is an integral part of neuroimaging carried out for diagnostic and therapeutic interventions. Given that manual segmentation is cumbersome and highly variable, there arises a need for automated, more precise segmentation solutions. This project, ‘Machine Learning and Deep Neural Networks to Advance Brain Tumor MRI Segmentation’ will develop a better, efficient, and accurate segmentation model to help clinicians identify brain tumors with greater …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 28–33 Read article
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A Theoretical Model for a Fermi–Boson Hybrid Particle in Nuclear and Particle Physics
Abstract: We present a theoretical model for a Fermi–Boson Hybrid Particle (FBHP) that unifies fermionic half-integer spin matter fields with bosonic integer-spin force fields within a single quantum framework. By extending conventional quantum field theory, a hybrid creation operator is formulated that combines fermionic and bosonic operators through a continuous mixing parameter, allowing smooth interpolation between Fermi–Dirac and Bose–Einstein statistical behaviour. A generalized statistical mechanics formalism is developed, leading to quantitative …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 10–18 Read article
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Chlorophyll-Mimicking Ti₃C₂Tₓ MXene-Conjugated Polymer Nanocomposites: Nature-Inspired Exciton Funneling Architecture for Ultrahigh Photon-to-Electron Conversion in Organic Solar Cells
Abstract: Green plant photosynthetic machinery is one of the most efficient natural systems for harvesting solar energy and converting it into useable electronic charge. Specifically, chlorophyll molecules in the Light-Harvesting Complex II (LHC-II) achieve nearly unity quantum yield via a well-organized Förster Resonance Energy Transfer (FRET) mechanism that enables excitons to migrate towards reaction centers. This study presents a bio-inspired nanocomposite architecture using two-dimensional Ti₃C₂Tₓ MXene nanosheets functionalized with chlorophyll-mimicking porphyrin …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 114–130 Read article
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Analyzing The Mechanisms of Polymerization and The Related Kinetic Pathways Using Refined Analytical Methods.
Abstract: In numerous sectors, polymeric materials play a crucial role, yet effectiveness is largely determined by their molecular structure and the processing parameters utilized. This investigation presents an integrative approach aimed at delineating the connections between polymer structure, properties, and processing through sophisticated characterization methods. With the implementation of small angle X Ray Scattering (SAXS),NMR(Nuclear magnetic resonance( spectroscopy) FM(Atomic Force Microscopy) and rheological analysis, we analyze the complex interplay between molecular …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–94 Read article
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A Comparative Analysis of Graphene Based Terahertz Reconfigurable Antennas: A Review
Abstract: In this paper, an overview of various reconfigurable antenna designs based on graphene material utilized for terahertz applications is presented. Terahertz electromagnetic spectrum is the term used to describe the frequency range between 0.1 and 10 THz. A promising material for THz reconfigurable antennas, graphene has a low skin effect and a built-in ability to tune by chemical or electrostatic gating. This study reviews the development of reconfigurable antenna for …
Published in Journal of Polymer & Composites · Vol. 11, Issue 5, 2023 · pp. 44–55 Read article
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Solar Based Electric Vehicle Charging
Abstract: The "Solar-Based Wireless Power Transmission Highways" project aims to revolutionize the way we generate and distribute electrical energy on highways. This innovative system harnesses solar energy through strategically placed solar panels along the highway, converting it into electricity. The electricity is then wirelessly transmitted to electric vehicles (EVs) passing overhead, enabling them to charge without the need for physical connections. This technology not only addresses the growing demand for sustainable …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 1, 2024 · pp. 27–32 Read article
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Evaluation of Small Vessel Disease by Advanced Brain Imaging
Abstract: Studying and comprehending brain small vessel disease requires extensive imaging. Recent applications of cutting-edge brain imaging techniques have led to the discovery of several significant results. Diffusion-weighted MRI studies have demonstrated the diagnostic accuracy of using clinical features alone or in combination with CT scan results to identify small vessel disease as the underlying cause is suboptimal in patients with acute lacunar syndromes. Acute infarcts caused by small vessel disease …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article