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480 articles for “Dim mode”
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String Theory: Simplified Insights into Reality
Abstract: "String Theory: Simplified Insights into Reality" explores the fascinating realm of theoretical physics, delving into the profound principles of string theory and its implications for our understanding of the fundamental nature of the universe. The paper begins with an overview of the historical context, tracing the evolution of string theory from its inception as a theoretical framework to its current status as a leading candidate for a unified theory of …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 1, 2024 · pp. 1–11 Read article
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Face Recognition using Genetic Algorithm with Self-Organizing Mapping based Dimensionality Reduction Technique
Abstract: The contribution of this work is to develop a face recognition technique where Genetic Algorithm has been used. Here facial features are extracted using Active Appearance Model (AAM) and Kohonen Self-Organizing Mapping (SOM) technique has applied to reduce the dimension of the extracted features. Efficient image pre-processing techniques are used to prepare the face for the proposed system. Finally, Genetic Algorithm has been used to classify the facial features. In …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 1, 2015 · pp. 22–26 Read article
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Dispersion Analysis of TE Modes in 1D Magnetized Ferrite Photonic Crystals for Tunable and Switchable Band Gap Filtering Device Applications under Transverse Magnetization Configuration
Abstract: The article comprehensively explores the dispersion characteristics exhibited by TE modes within one-dimensional magnetized ferrite photonic crystals, particularly under the influence of transverse magnetization. We employed the rigorous transfer matrix method, a powerful tool for theoretical investigation, calculation, and behavior analysis of such intricate systems. Our research delves into the structural parameters that govern the behavior of these ferrite photonic crystals, explicitly focusing on the incident parallel wave vector (β) …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 60–68 Read article
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Analysis of Water Content in Fire Resistant Hydraulic Fluids used in Coke Furnace Door Opening through Optical Waveguide
Abstract: AbstractThis paper attempts to measure the concentration of water in fire resistant hydraulic fluids used for opening of door in coke furnace through optical waveguide. The proposed model is a two dimensional photonic crystal structure with glass substrate consisting of air holes. Measurement principle is concentrated on linear variation of photonic band gap (PBG) along with concentration of fire resistant fluids infiltrated in air holes of photonic crystal structure. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 1, 2018 · pp. 14–18 Read article
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Computational Biology with Deep Learning
Abstract: Technological advances in genomics and imaging have resulted in an explosion of molecular and cellular profiling data from large numbers of samples. Conventional analytic methodologies are being tested by the increasing expansion of biological data dimension and acquisition rate. Modern machine learning technologies, such as deep learning, promise to make accurate predictions and identify underlying structure in very huge data sets. In this study, we look at how regulatory genomics …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 5–8 Read article
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Thermo-Hydraulic Performance of a Double-Pipe Double-Pass Heat Exchanger using Annular Fins and Graphite-filled Epoxy Composite Tubes
Abstract: Double-pipe heat exchangers remain one of the most widely adopted thermal devices because of their simple construction, operational reliability, and ease of maintenance. Nevertheless, their performance is often constrained by the limited heat transfer area of smooth tubes and the long-term challenges associated with metallic materials, including corrosion, scaling, and structural weight. Recent advances in thermally conductive polymer composites provide an opportunity to overcome these limitations by replacing conventional metals …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Extracting and Reducing the linguistics info Content of Web Documents to Support linguistics Document Retrieval
Abstract: Ranking and optimisation of net service compositions represent difficult areas of analysis with significant implication for realization of the “Web of Services” vision. The linguistics net, wherever the linguistics information is indicated mistreatment machine-process ready language like the net metaphysics Language (OWL) “ Semantic net service” use formal linguistics description of web service practicality and alter machine-controlled reasoning over net service compositions. These linguistics net services will then be mechanically …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 1, 2015 · pp. 10–18 Read article
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Augmentation of Heat Transfer in a Trough Shaped Solar Collector Compared to Flat Plate Collector Using CFD
Abstract: Surface Enhancement plays a vital role in augmenting the thermal performance of flat plate collectors. In this paper, an attempt is made to explain in a comparative way the effect of surface geometry of solar flat plate collector having troughs with that of a normal collector. Flat plate collectors with and without troughs of dimensions 1 × 0.5 m is modelled in CATIA V5R19 and meshed using ANSYS ICEM CFD. …
Published in Journal of Thermal Engineering and Applications · Vol. 1, Issue 3, 2014 · pp. 1–7 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Fusion of deep learning autoencoders with random forest for wetland classification using Sentinel-2A data: A case study on Sirpur wetland
Abstract: Present study analyses the performance of deep leaning algorithm-autoencoder to reduce data dimension as compared to conventional models. Classification accuracies of Sirpur wetland using Sentinel 2A dataset with different inputs have also been studied. These inputs sets comprise the reconstructed data through compression of original 13 bands into 4 bands using decoder algorithm, first four Principal Components, all spectral bands, and spectral indices. Random Forest classifier (RF) is used to …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 25–35 Read article
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Corrugated Tube Shell-and-Tube Heat Exchanger Using Epoxy-Based Polymer Composite Coatings for Lightweight and Efficient Thermal Systems
Abstract: Corrugated tube geometries are widely recognized for their ability to enhance heat transfer through boundary layer disruption and secondary flow generation. In this study, a combined experimental and computational investigation is carried out to evaluate the thermo-hydraulic performance of a shell-and-tube heat exchanger incorporating corrugated stainless steel tubes integrated with an epoxy-based polymer composite coating and housed within a mild steel shell. Unlike conventional metallic systems, the present work introduces …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 603–617 Read article
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Thermo-Hydraulic Enhancement of Annular Finned Shell-and-Tube Heat Exchangers Using Epoxy-Based Polymer Composites: A Material–Geometry Coupled CFD Investigation
Abstract: Shell-and-tube heat exchangers remain a backbone of industrial thermal systems, yet their performance is often limited by relatively low shell-side heat transfer and the weight and cost associated with conventional metallic components. In this context, the integration of polymer composite materials offers a promising pathway toward lightweight, corrosion-resistant, and performance-tunable heat exchanger designs. The present study investigates the thermo-hydraulic performance of a straight-tube shell-and-tube heat exchanger equipped with annular fins, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 669–684 Read article
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Thermo-hydraulic Performance of Multi-Pass Double-Pipe Heat Exchangers: Integrating Polymer Composite Tube Wall Materials via CFD Parametric Study and Experimental Validation
Abstract: Metallic materials such as steel and copper have traditionally dominated heat exchanger manufacturing because of their excellent thermal conductivity, mechanical strength, and long-established industrial reliability. However, their high weight, susceptibility to corrosion in aggressive operating environments, and inability to provide tunable thermal properties have motivated interest in alternative materials for next-generation thermal systems. Thermally conductive polymer composites reinforced with graphene nanoplatelets (GNP), boron nitride (BN), and carbon-based fillers offer an …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Short Review on Advanced Database Management Systems
Abstract: AbstractDatabase Management System comprises of an accumulation of interrelated information and a set of programs to get to that information. The accumulation of data is database. These are intended to oversee expansive collections of data. This paper depicts propelled parts of database management system including Query handling, data modeling, data warehouse, mining, fluffy dimensions, distributed database, XML and web application database. The main objective of this paper is to present …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 1, 2017 · pp. 7–13 Read article
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Investigation of Supersonic Flow Past a Cavity Using Basic Numerical Techniques
Abstract: This study, investigating various features of supersonic flow past a cavity, uses higher order essentially non-oscillatory Roe (ENO-Roe) method as the numerical method that solves full compressible Navier-Stokes equation in two dimensions. The turbulence effect is modelled considering 3% level of turbulence and by imposing the turbulent gust. It is seen that vortex shedding, which is a small scale phenomenon compared to other features of the flow, has been properly …
Published in Journal of Experimental & Applied Mechanics · Vol. 7, Issue 2, 2016 · pp. 30–40 Read article
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ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications
Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article
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Examining the Influence of DEM Resolution in Flood Hazard Assessment using the Flood Modeller Pro 2D Solver
Abstract: Floods are the most frequent natural hazards that threat the human life, environment and infrastructure. The flood prediction models that have wide use in the recent years represent important tools for flood management decisions aiming to mitigate the impacts of the flood events. The accuracy of the constructed prediction models is based on the quality of the primary data, such as the terrain’s resolution. This study examines the effect of …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 1, 2017 · pp. 14–24 Read article
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Electro-viscous effect on rotating disk flow with variable physical properties
Abstract: In this study, investigate are made for an unsteady flow across a rotating disk with various physical parameters. Consider the movement of a viscous fluid across a three-dimensional disk. The major goal of the current mathematical form is to look at the behavior of an ionic convey electrically viscous flow of boundary layer on a spinning disk with different physical characteristics. To mimic ionic species conservation, the Poisson equation and …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 3, 2022 · pp. 1–11 Read article