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1133 articles for “Application analyses”
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Role and Importance of Machine Learning in Social Media
Abstract: The widespread adoption of social media platforms has transformed the way individuals interact and communicate. Going beyond personal connections, social media has evolved into a potent tool for sharing information, shaping ideas, and fostering participation across various industries. Machine learning is pivotal in enhancing social media's impact. Social media generates vast data daily, and machine learning is essential for extracting insights. Sentiment analysis, a machine learning application, identifies emotions in …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 23–30 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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Monitoring and Safety of Aircraft using Wireless Technology
Abstract: Traditional aircraft sensor networks, burdened by wire complexity and high-power demands, struggle with scalability and real-time data acquisition. This paper proposes Bluetooth Low Energy advertising as a transformative solution, leveraging its lightweight, energy-efficient, and secure nature within tree network architecture. Sensors broadcast data packets picked up by strategically placed gateways, enabling efficient data dissemination through multi-hop relaying. The approach boasts scalability due to minimal hardware and power requirements, leading to …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 2, 2023 · pp. 14–21 Read article
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Implementation of the Tridiagonal Matrix Algorithm (TDMA) in C: A Practical Approach
Abstract: This paper presents a practical implementation of the tridiagonal matrix algorithm (TDMA), also known as the Thomas algorithm, using the C programming language. The TDMA is a commonly used algorithm for solving systems of linear equations where the coefficient matrix is tridiagonal. The paper draws a detailed step-by-step process of the algorithm’s development, from forward elimination to backward substitution, with a focus on minimizing computational difficulty compared to standard Gaussian …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
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Quantum-Fuzzy Tensor Operators and Uncertainty-Band Bifurcation for Symmetry-Preserving State Discrimination
Abstract: A tensor-operator framework is developed for fuzzy conjunction, fuzzy disjunction, and symmetry-preserving state discrimination in multi-qubit quantum systems. In this formulation, fuzzy membership and non-membership degrees are represented through expectations of effect operators acting on density matrices, providing a natural bridge between fuzzy logic and quantum measurement theory. Conjunction and disjunction operations are extended to the quantum domain via tensorised channels, constructed using projective measurements and unitary transformations, enabling logical …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 08–15 Read article
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A review on Advanced Materials for Sustainable Innovation and Innovative Applications in Chemical Engineering
Abstract: High level materials assume a vital part in driving feasible mechanical headways across different enterprises. This comprehensive review paper aims to provide an in-depth analysis of the properties, synthesis methods, and potential applications of advanced materials, focusing particularly on nanomaterials, biomaterials, and smart materials. These materials exhibit unique characteristics that render them indispensable for a wide array of applications, spanning energy storage, environmental remediation, healthcare, and electronics. Nanomaterials, characterized by …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 1, 2024 · pp. 59–79 Read article
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Air Flow Analysis in Sensor-Based Aircraft Wings Design
Abstract: Airflow analysis, at its core, is an application of fluid mechanics principles to the specific study of air movement. Airflow analysis plays a crucial role in diverse fields, impacting everything from the comfort of our homes to the efficiency of jet engines. The pursuit of more efficient, safer, and more responsive aircraft wings is a constant driver of innovation in the aerospace industry. The quest for more efficient, safer, and …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 29–39 Read article
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Design Conceptualization and Computational Analysis of Cryogenic Engine Nozzle-ABYOM
Abstract: The main purpose of this paper is to design a cryogenic engine nozzle with specified dimensions using CATIA V5 software and analyze the nozzle using ANSYS software. The realizable k-ε viscous model was used for calculation and the Hydrogen (H2) had retained as an ideal gas. The CFD simulations were done on the nozzle to find the pressure, density, velocity, and temperature. In the graph, there are 500 points streamlined …
Published in Journal of Materials & Metallurgical Engineering Read article
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Study of Social Trends Prediction Using AI
Abstract: AI (Artificial Intelligence) has fundamentally changed the ability to analyze social trends by using large datasets to develop predictions about human behavior, public sentiment, and global events. Using methodologies such as Natural Language Processing (NLP), Time-Series Forecasting, and Graph-Based Social Network Analysis, AI is able to find hidden correlations in a variety of available datasets, from social media to economic indicators to public records, and fundamentally changes decision-making based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 19–29 Read article
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Advanced Fiber-Reinforced Polymer Composites: Processing, Nano-Modified Adhesive Technologies, Interfacial Engineering, Durability, and Structural Applications—A Comprehensive Review
Abstract: Fiber reinforced polymer (FRP) composites are considered to be one of the most universal categories of advanced engineering materials owing to their unique properties such as outstanding strength-to-weight ratio, corrosion resistance, fatigue durability, and wide opportunities for design. Innovations in the fields of fiber reinforcement, polymer matrix system, composite manufacturing technologies, and nano-modified adhesives technology have greatly extended the range of applications of this type of materials in aerospace, automotive, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 980–990 Read article
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Sustainable Epoxy Composites Enhanced by Cellulose Nanocrystals for Structural and Thermal Applications
Abstract: This study presents the advancement and behaviour analysis of sustainable nanocomposites reinforced with cellulose nanocrystals (CNCs), a biodegradable and high-aspect-ratio nanofiller derived from microcrystalline cellulose. CNCs were incorporated into a bisphenol-A-based epoxy matrix at varying concentrations (0, 1, 3, 5, and 7 wt%) to assess their influence on mechanical, thermal, and viscoelastic properties. The tensile strength of the composites increased significantly, from 45 MPa for neat epoxy to 65 MPa …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 126–134 Read article
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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
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Eu3+/Gd3+ doubly doped ions in SrCO3-Al2O3-B2O3-SiO2 glasses for optical and White light applications
Abstract: The present work deals with the optical analysis of SrCO3-Al2O3-B2O3-SiO2 glass materials doubly doped with Eu3+/Gd3+ ion were prepared by melt quenching technique. These are studied by XRD, physical properties, FITIR, optical absorption and luminescence spectroscopy. The XRD measurements are conducted to verify the amorphous form of prepared material and structural modifications can be explained by the FTIR spectra. The thermal stability of the glass matrix is measured by the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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AI-Powered Approaches to Environmental Challenges: Trends, Benefits, and Limitations
Abstract: Dynamic and unpredictable characteristics of environmental processes create challenges in their management and regulation. Artificial intelligence (AI) offers a powerful solution for addressing these complexities.AI tools have become more and more popular across a range of fields and research domains due to their efficient development and rapid growth. We analyse key trends in AI applications, including predictive analytics for climate modelling, automated monitoring of biodiversity, and smart resource management. The …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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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
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Strategies of Biopesticide Development and Application: The Hype and Hope
Abstract: This review presents a comprehensive analysis of biopesticides, examining their types, mechanisms of action, and role as eco-friendly alternatives to conventional chemical pesticides. It provides insights into the development strategies of biopesticides and explores their effectiveness in managing agricultural pests. The review also discusses market trends, identifying challenges and strategies faced by manufacturers and stakeholders in promoting biopesticides. It addresses the increasing interest in these sustainable solutions, distinguishing between the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 2, 2025 · pp. 34–50 Read article
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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