Search
46 articles for “spectral analysis”
-
Synthesis of Graphene-CeO2 Nanocomposite with Enhanced Electrochemical Properties
Abstract: For the fabrication of graphene–cerium oxide (CeO₂G) composites, 99 mg of cerium oxide (CeO₂, 99.9%) was uniformly dispersed in 100 mL of deionized water via ultra-sonication (40 kHz) to achieve a stable suspension, followed by the incorporation of 1 mg of synthesized graphene. The resulting mixture was maintained at ambient temperature (25 ± 2 °C) under continuous magnetic stirring at 500 rpm for 2 h to promote effective interfacial interaction …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1355–1373 Read article
-
Algebraic Foundations of Generalized Signal Processing: A Unified Approach Across Domains
Abstract: Using the techniques of algebra, notably polynomial algebras and modules, algebraic signal processing (ASP) is a contemporary, abstract framework that generalizes conventional signal processing— including Fourier analysis, filtering, and convolution. The notion is to use algebraic structures to explain signals, systems, and transformations such that ideas may be understood and generalized across many domains, including time, space, graph, or group. A unifying theoretical framework called ASP generalizes classical signal processing …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 33–44 Read article
-
From Noise to Insight: An Academic Study of Electrical Signal Processing
Abstract: Electrical signal processing is very important for turning raw, often noisy data into useful and actionable information. This article gives a simple and easy-to-understand summary of the basic ideas and methods used in electrical signal processing, such as filtering, signal representation, modulation, and spectrum analysis. The focus is on how to effectively eliminate noise and interference to improve the quality and dependability of signals. The conversation connects ideas from theory …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
-
Facile Synthesis of SnO2/g-C3N4 nanocomposite for the photocatalytic degradation of Methylene Blue dye under visible light irradiation
Abstract: This work reports the nanoscale samples of pure tin dioxide (SnO₂), graphitic carbon nitride (g-C₃N₄), and their composite (SnO₂/g-C₃N₄) were successfully synthesized using the co-precipitation technique. The synthesized materials were extensively analyzed using multiple characterization techniques such as Powder X-ray Diffraction (PXRD), High-Resolution Scanning Electron Microscopy (HR-SEM), Energy-Dispersive X-ray Spectroscopy (EDAX), Fourier Transform Infrared Spectroscopy (FTIR), UV-Visible Spectroscopy, and High-Resolution Transmission Electron Microscopy (HR-TEM). Results from PXRD and EDAX confirmed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1835–1845 Read article
-
Global Burden of Major Depressive Disorder: Prevalence, Diagnosis, and Impact: A Comprehensive review
Abstract: In this review, we will discuss about the major depressive disorders on the basis of neurobiological changes. MDD, a prevalent psychiatric condition, manifests as a complex interplay of genetic, environmental, and physiological factors with a substantial impact on individuals and societies globally. Here the clinical assessment is fully based on diagnosis and the statistical manual for mental disorder, 5th edition (DSM-5). The pathophysiology involves Diagnosis alterations in neurotransmitter systems, dysregulation …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 54–62 Read article
-
Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
-
Comparative study of the Antibacterial Properties of Modified Textile Materials with Different Metal Nanoparticles
Abstract: A number of metal particles have proven antibacterial properties. In this study, a comparative analysis was made of two types of metal particles: zinc oxide and titanium oxide nanoparticles respectively, which were deposited on cellulose material and were fixed by means of a cross-linked gelatin hydrogel. Three methods were applied under different reaction conditions for obtaining the biocomposite materials. The biomaterials were investigated by means of scanning electron microscopy, transmittance …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 92–101 Read article
-
“DEVELOPMENT AND CHARACTERIZATION OF PHYTOSOMES FOR THE TREATMENT OF ANTI-CANCER ACTIVITY BY USING THE Spirulina (Arthospira Plantesis) EXTRACT”
Abstract: This study aims to investigate and evaluate spirulina's anticancer properties.The current research is centred on obtaining a Spirulina-containing drug. The goal is to design and create Phytosomes, characterizing them based on relevant and crucial parameters. The process of solvent evaporation was utilized in the creation of Phytosomes. Various parameters such as zeta potential, particle size, infra-red spectral analysis, % drug content, encapsulation efficiency, and % drug release (% DR) were …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 10–22 Read article
-
Raman Spectroscopy for The Determination of Relative Crystallinity of Carbon Fibers
Abstract: Analogous to X-ray diffraction technique, the light scattering technique discovered by Sir CV Raman has great potential in quantifying the crystallinity of new materials, like the highly crystalline pitch based carbon fibers (NX90 and NX100). For comparison the Raman spectra of polyacrylonitrile based carbon fibers (T700SC) were also recorded. From the Raman spectral analysis, it was found that the pitch based carbon fibers exhibit far far higher degree of crystallinity …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 30–38 Read article
-
Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
-
Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 17, Issue 2, 2026 Read article
-
Integration of Multispectral Satellite data with Ensemble Machine Learning Models for Wetland Classification: a new Ramsar Site in Central India
Abstract: For biodiversity conservation, several wetlands in India have been classified as Ramsar sites, and Sirpur Lake is a recent addition to the list. The objective of this paper is to use Sentinel optical data with 10-meter resolution to prepare a robust and accurate classified map which will be crucial for further analysis. The data on thirteen spectral bands along with four essential spectral indices, Normalized Difference Vegetation Index (NDVI), Normalized …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 Read article
-
Time Multiplexed Binary Offset Carrier (TMBOC) Transmitter with Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR)
Abstract: This paper provides insights into Time Multiplexed Binary Offset Carrier (TMBOC), a modulation technique employed in satellite navigation systems, specifically designed for GPS L1C. TMBOC improves signal correlation properties by time-multiplexing Binary Offset Carrier (BOC) (1, 1) and (6, 1). The text discusses various TMBOC models, including spectral representations and power distributions. Performance analysis reveals the potential of TMBOC signals in achieving superior tracking accuracy and interference resistance compared to …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 34–49 Read article
-
Synthesis, Characterization, and Reactivity of Bivalent Tin(II) with 4-Tert-butylphenol
Abstract: Bivalent tin(II)-4-tert. butylphenoxide of composition Sn(OC6H4X-4)2(I), where X = But, has been synthesized by the reaction of stannous chloride (SnCl2) with bimolar amounts of 4-tert. butyl phenol (HOC6H4But-4) in the presence of the base, diethyl amine, in tetrahydrofuran (THF) solvent. The resulting complex was characterized by elemental analysis, molecular weight determination, molar conductance measurement, IR, and 1H NMR spectral studies. The reactivity of the newly synthesized complex (I) with HgCl2 …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 1, 2024 · pp. 14–19 Read article
-
Advances in Non-Invasive NIR-Techniques for Gout Detection and Measurement
Abstract: Recent advancements in non-invasive near-infrared (NIR) spectroscopy techniques have significantly improved the detection and measurement of gout, a common form of inflammatory arthritis. Traditional diagnostic methods for gout, such as joint aspiration and crystal analysis, are invasive and can be uncomfortable for patients. In contrast, NIR spectroscopy offers a promising alternative by enabling real-time, non-invasive assessment of uric acid levels and related biomarkers associated with gout. The integration of portable …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 1–8 Read article
-
Remote Sensing and GIS-Based Approaches for Soil Salinization Assessment: A Comprehensive Review
Abstract: Soil salinization, a critical environmental challenge, significantly impacts land productivity, agricultural yields, and contributes to desertification, particularly in arid and semi-arid regions. Early detection and effective management of soil salinity are essential for sustainable agriculture and land management. Remote sensing (RS) and geographic information systems (GIS) have emerged as indispensable tools for mapping, monitoring, and analyzing soil salinity over vast areas. RS provides multi-temporal and multi-spectral data that helps identify …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
-
Synthesis and Spectral Characterization of Complexes Tin(II) With 4-Nitrophenol
Abstract: Tin(II)4-nitrophenoxide complexes with the formulas SnCl(OC₆H₄NO₂-4) and Sn(OC₆H₄NO₂-4)₂ were prepared through the reaction of stannous chloride (SnCl₂) with 4-nitrophenol (HOC₆H₄NO₂-4) in 1:1 and 1:2 molar ratios, respectively. The reaction was performed in tetrahydrofuran (THF) with diethylamine serving as the base. The resulting compounds were characterized through elemental analysis, determination of molecular weight, molar conductance measurements, and spectroscopic methods including IR and ¹H NMR spectroscopy. Current investigations are directed toward assessing …
Published in International Journal of Advance in Molecular Engineering · Vol. 4, Issue 1, 2026 · pp. 22–26 Read article
-
A multi-index remote sensing analysis for Characterizing water stress, and environmental indicators in Girnar Wildlife Sanctuary, Gujarat, India
Abstract: Water scarcity is a critical concern in arid and semi-arid regions, with implications for ecological stability, public health, and sustainable resource management. The Girnar Wildlife Sanctuary, Gujarat, presents a case where ecological fragility intersects with cultural and religious pressures. This study employs satellite remote sensing and GIS-based approach to characterize water stress parameters within the sanctuary. Key spectral indices along with Land Use and Land Cover (LULC) were integrated through …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 Read article
-
Power of Optical Sensors in Remote Sensing: A Study
Abstract: Imagine having eyes that could pierce the veil of the visible, discerning the subtle whispers of light beyond the spectrum our everyday vision allows. This isn't a superpower from science fiction, but the very essence of optical sensors in remote sensing – our planet's watchful, silent sentinels, meticulously translating the electromagnetic symphony into actionable insights. Optical sensors, operating within the visible, near-infrared, and short-wave infrared portions of the electromagnetic spectrum, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 29–36 Read article
-
Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article