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370 articles for “Resonator”
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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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Effect of Partial Ground Plane on the Microstrip Patch Antenna Performance for Wireless Sensor Networks
Abstract: Wireless sensor networks have a number of tiny nodes. Each node has the ability to communicate with its neighbors. The communication range depends on the type of antenna used. This paper analyzes the performance of microstrip patch antenna which suppresses the surface waves from the edges of the ground-plane of the substrate. The microstrip patch antenna is designed using a substrate of dielectric constant εr = 2.2 and loss tangent …
Published in Journal of Electronic Design Technology · Vol. 4, Issue 3, 2013 · pp. 5–9 Read article
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Dispersion Analysis of Polypyrrole and ZnO Nanocomposite Thin Film using SPR Techniques
Abstract: The dispersion analysis of any material is crucial for studying its structure and composition. The interaction of the structure of the material with electromagnetic energy is also determined by studying its dielectric or optical properties. For studying dielectric properties, optical approaches are favored over electrical techniques, and Surface Plasmon Resonance (SPR) is the most suited of all techniques. It is used as a result to investigate the optical and dielectric …
Published in Journal of Polymer & Composites · Vol. 10, Issue 2, 2022 · pp. 79–85 Read article
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New Solution Technique for the Frequency and Transient Response of Transformer Windings with All Inter-Turn Mutual Inductances and Capacitances Included
Abstract: This paper addresses the frequency response, the identification of the resonance frequencies as well as the transient response of transformer windings taking into account all possible inter-turn mutual inductances and capacitances. The mutual inductances and capacitances between any turn to all other turns, i.e. not only the immediately adjacent ones, are considered. The analysis starts with writing the set of simultaneous differential equations relating the currents and voltages within the …
Published in Trends in Electrical Engineering · Vol. 3, Issue 1, 2013 · pp. 22–41 Read article
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New Solution Technique for the Frequency and Transient Response of Transformer Windings with All Inter-Turn Mutual Inductances and Capacitances Included
Abstract: This paper addresses the frequency response, the identification of the resonance frequencies as well as the transient response of transformer windings taking into account all possible inter-turn mutual inductances and capacitances. The mutual inductances and capacitances between any turn to all other turns, i.e., not only the immediately adjacent ones, are considered. The analysis starts with writing the set of simultaneous differential equations relating the currents and voltages within the …
Published in Trends in Electrical Engineering · Vol. 3, Issue 3, 2013 · pp. 29–50 Read article
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Self-Tuning Wireless Power Transfer System Using Reinforcement Learning for Dynamic Electric Vehicle Charging
Abstract: The rapid growth of electric vehicles (EVs) has intensified the demand for efficient, reliable, and user-friendly wireless power transfer (WPT) systems capable of supporting dynamic charging under varying operating conditions. This paper presents a self-tuning wireless power transfer system employing deep reinforcement learning (DRL) to optimize power transfer efficiency in real time. Unlike conventional WPT controllers that rely on fixed compensation parameters or predefined control rules, the proposed framework continuously …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Amalgamation of Medical Image using Wavelet Theory
Abstract: Image fusion has become a common term used within medical diagnostics and treatment. The term is used when multiple patient images are registered and overlaid or merged to provide additional information. Fused images may be created from multiple images from the same imaging modality, or by combining information from multiple modalities, such as magnetic resonance image (MRI), computed tomography (CT) etc. In radiology and radiation these images serve different purposes. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 1, 2015 · pp. 9–14 Read article
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Applicability of Integrating BN and Resilience Engineering on Qualitative to Quantitative Description of Human Error
Abstract: Human activities are predominant part of everyday tasks from design, cAbstract Human activities are predominant part of everyday tasks from design, construction, operation, management, maintenance, system upgrade, medical and social life as well as individual human performance. It is not surprising then to see that a major means of failures are related to human errors. But there is still lack of heeds to qualify as well as quantify such errors. …
Published in Journal of Offshore Structure and Technology · Vol. 3, Issue 2, 2016 · pp. 6–16 Read article
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Dosimetric Aspects of Sodium Polystyrene Sulfonate (NaPSS)
Abstract: Thermally stimulated luminescence (TSL), electron spin resonance (ESR), Fourier transform infrared spectroscopic techniques are used to study dosimetric applications of sodium polystyrene sulfonate (NaPSS). The TSL, ESR, FTIR spectra are recorded for NaPSS-exposed different amounts of gamma radiation doses. The spectra observed under different conditions suggest that the NaPSS can be used for dosimetric applications based on the condition of linear variation of physical properties against the radiation dose.
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 4, Issue 3, 2013 · pp. 7–10 Read article
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Brain Tumor Detection Using an Artificial Neural Network in MRI Images
Abstract: MRI is the widely used imaging technique in the biomedical field for the detection, diagnosis and evaluation of brain tumors. The large structural variability among brain tumor makes detection of a challenging problem. The medical problems are severe, if the tumor is detected at the later stage. Hence, diagnosis is necessary at the earliest. In this work, a neural network classifier is used for the detection of tumors from the …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 5, Issue 1, 2018 · pp. 14–22 Read article
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Brain Tumor Detection
Abstract: The MRI, or magnetic resonance imaging, is one of the most common practices in detecting a brain tumor since it contains important information used to extensively scan the human brain’s internal anatomy. The treatment of any tumor depends entirely on the knowledge and expertise of the physician. This paper reflects the identification of brain tumors using different machine learning algorithms along with the convolution neural network (CNN) and transfer learning. …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 1, 2021 · pp. 45–52 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
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Detection and Classification of Alzheimer’s Disease Using Deep Learning Technique
Abstract: It is crucial that people with Alzheimer's disease (AD) receive a proper diagnosis to begin preventative action before irreparable brain damage develops. Most people who suffer from Alzheimer's disease (AD), a neurological condition that progresses, are older than 65. The area of interest (ROI) in the hippocampus has been extensively studied for several purposes, including neurological illness research, stress development monitoring, and memory function analysis. Moreover, a connection between Alzheimer's …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 15–20 Read article
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Brain Tumor Detection Using RestNet50 Architecture
Abstract: This paper presents a novel deep learning model for brain tumor diagnosis from MRI scans on the basis of ResNet50 with some modifications. Optimizing the modified layers and pre-trained ResNet50 for improved diagnostic accuracy and reliability in real-world clinical settings is one of the key contributions of this paper. The model was trained on an extremely well-balanced data of 2,577 MRI scans, which were split equally among the tumor and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 1–13 Read article