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190 articles for “Three-dimensional”
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Regenerative Endodontics: Nano 3D scaffolds as Dental Materials and Stem Cells for Dental Tissue Regeneration
Abstract: In dentistry, for maintaining any tissue in a healthy state, focus is on prevention, treatment and repair of the diseased tissue. Current treatments for diseases of tooth structures rely on the use of classical endodontic procedures which in some cases are limited success rate. The use of stem cells in regenerative therapies have been shown to have promising applications in various debilitating diseases like neurodegenerative disease, diabetes, cancer and dental …
Published in Trends in Drug Delivery · Vol. 1, Issue 2, 2014 · pp. 14–23 Read article
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STUDY ON THE FAILURES OF WELD JOINTS OF ROOF HOOPS & BIAS MEMBERS IN THE PROJECT JEWEL ROOF CONSTRUCTION AND APPLICATION OF FLUX-CORED ARC WELDING TO AVOID FAILURES
Abstract: During the construction of the roof structure of the commercial interconnection between the three airport terminals of the Changi Airport in Singapore, several failures have been noticed during the welding of roof hoops and bias members. In this context, experimental studies have been performed on transient heat transfer in welding distortion control by using flux-cored arc welding process (Self Shielded-SS) by using three(3)-dimensional welding in High Strength Low Alloy (HSLA) …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 2, 2019 · pp. 1–7 Read article
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Text Summarization with KNN Algorithm by Table Similarity
Abstract: This paper proposes Text Summarization using K Nearest Neighbor Classification algorithm on the basis of table similarity. This is being proposed for blog summarization, so that the text summarization can be used for summarization of blogs. Today, summarized data is needed everywhere, so that people can get more information in less amount of time, and that can be given with the help of summarized blogs. This method is being used …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 1, 2020 · pp. 14–18 Read article
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Speech Emotion Recognition using Convolutional Neural Networks
Abstract: This research work presents an assortment of techniques in Speech Emotion Recognition with the help of spectrograms and handcrafted Deep learning architecture: Convolutional Neural Networks (CNN). Emotional kingdom detection is a crucial part of human-device interplay studies. To make interaction between man and machine more natural, many milestones are conquered in speech emotion recognition, but still this process requires more up-to-the-mark results. To make an attempt for the same, this …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 26–32 Read article
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The effect of cooling time and colorant pigment on the dimensional accuracy of plastic injection molded closure
Abstract: Dimensional accuracy is a critical aspect of precision injection molding, with the products generally required to conform to set tolerances. Major causes of these deviations are reported to be related to the polymer material, part geometry, injection mold design, and process parameters. This study investigated the effects of material color pigment and its interaction with process cooling time on product dimensional accuracy. This study was conducted experimentally, where three levels …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 93–100 Read article
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Financial Forecast: Systematic Analysis Using Principal Component Analysis
Abstract: The most popular technique for data exploration and analysis across all scientific disciplines that can influence the classification model's accuracy is principal component analysis (PCA). In this study, the high dimensionality of the stock market is examined in order to forecast market movements using PCA in conjunction with linear regression. While reducing data redundancy, PCA can aid in enhancing the predictive performance of machine learning techniques. The New York Stock …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 2, 2022 · pp. 18–24 Read article
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Mechanisms of Crystal Growth: From Spiral Steps to Surface Adhesion
Abstract: Crystal growth is a complex interplay between thermodynamic stability and kinetic processes, influenced heavily by the conditions under which crystallization occurs—particularly the degree of supersaturation. This abstract outline three principal regimes of solution-grown crystal growth: defect-driven, two-dimensional, and adhesive growth. At low supersaturation, growth is facilitated at surface defects, such as screw dislocations, where energy barriers to attachment are minimized. This results in the formation of spiraling steps that propagate …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 46–31 Read article
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Designing an Energy Efficient Induction Motor: Advanced Computational Intelligence Technique
Abstract: Abstract—This paper presents an advanced computational intelligence technique (CIT), modified particle swarm optimization (MPSO) for designing energy efficient three-phase induction motor (DEEIM) including active power loss effect. PSO performs well for small dimensional and less complicated problems but fails to locate global minima for complex multi-minima functions. Even if PSO algorithm is easy to implement and has been shown to perform well on various power system optimization problems, they may …
Published in Current Trends in Information Technology · Vol. 9, Issue 2, 2019 · pp. 5–13 Read article
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Elaborate Business Dimension of Business Oriented Business Rule Framework
Abstract: AbstractWe explore business rules from the business perspective with the aim of developing information/software systems. We underpin our work with a 4-dimensional framework of business rules consisting of the business, system, representation, and application dimensions. We focus on the business dimension here and elaborate it at three levels. These levels consist of the generic model, the business-independent governance model, BIGm, and the business-specific governance model. At the generic level, we …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 1, 2019 · pp. 24–35 Read article
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Towards Finding the Impact of Kinetic Information on Short Term Memory based Task
Abstract: The main objective of this report is to discover whether haptic data have an effect on the retention of a directive to choose a place scattered on a 2D plane. The necessity for a feasible workshop for the cell manufacturing line in plant assembly led to the idea. We created an organized viscuo-haptic training model that covered a grown-up arm’s workstation and used three different Ways to change the extent …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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Group Technique for Boundary Layer Equations of Time-Dependent Power-Law Fluids Over Non-Isothermal Surface
Abstract: The multi-parameter group technique is developed to derive invariant solution for the system of non-linear partial differential equations governing unsteady, two-dimensional boundary layer flows over a heated surface of power-law fluids. The basic non-liner system of partial differential equations with three independent variables is converted into system of non-linear ordinary differential equation, by single application using proposed multiparameter group method. The numerical solution for the system of nonlinear ordinary differential …
Published in Research & Reviews : Journal of Physics · Vol. 8, Issue 2, 2019 · pp. 61–68 Read article
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Emerging Trends in Data Structures for Modern Machine Learning Applications
Abstract: In the realm of machine learning, data structures play a pivotal role in facilitating efficient data manipulation, storage, and retrieval, thereby significantly impacting the performance and scalability of machine learning algorithms. In recent years, the field of machine learning has witnessed the emergence of novel data structures tailored to address scalability and efficiency challenges inherent in handling large-scale and high-dimensional data. This study provides a look at the data preprocessing, …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Support Vector Machine Inspired Load Forecasting of a State University in Haryana
Abstract: Estimating the possible environmental impact and determining probable capital requirements are made easier with a solid grasp of electricity demand. Beginning in the middle of the 20th century, demand forecasting for electric power networks was studied theoretically. Prior to that, the study of demand forecasting had not developed because of the small scale of power networks. With the use of statistical prediction techniques, plans for the electric power industry have …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 33–40 Read article
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Parametric Analysis of Oscillating Squeeze Film Using a New Dimensionless Parameter
Abstract: A comprehensive mathematical model has been established including a new dimensionless parameter Ω to investigate the effects of surface roughness and permeability of rubber block on leakage flow rate and hydrodynamic force generated in fluid film between annular porous rubber block and oscillating annular rigid block. The modified Reynolds equation, Laplace equation and governing equation for three-parameter viscoelastic model are solved simultaneously to obtain pressure developed in fluid film between …
Published in Journal of Experimental & Applied Mechanics · Vol. 3, Issue 2-3, 2012 · pp. 12–24 Read article
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Decision Fusion based Pair of Iris Recognition using Back-Propagation Learning Neural Network Algorithm
Abstract: AbstractThe contribution of this work is to enhance the performance of the iris recognition system through decision fusion of left and right iris pattern. Iris recognition system performs well and identify human correctly in neutral environment. In this paper a pair of iris recognition system has been proposed, which is capable enough to identify human through noisy environments. Principal component analysis based dimensionality reduction technique has been used toreduce and …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 1–6 Read article
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Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
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Wavelets-based Denoising by Optimizing Polynomial Threshold Function
Abstract: In this paper, a wavelets-based technique for denoising of one-dimensional signals is proposed which employs artificial bee colony (ABC) algorithm for optimizing a new polynomial threshold function. The coefficients of the threshold function are optimized dynamically to maximize the output signal to noise ratio (SNR). ABC algorithm calculates the coefficients for maximum output SNR. The proposed technique is tested for three artificial signals, namely blocks, bumps and Doppler signals. Additive …
Published in Current Trends in Signal Processing · Vol. 4, Issue 2, 2014 · pp. 11–23 Read article
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Pressure Data Analysis and Multilayer Modeling of A Gas-Condensate Reservoir
Abstract: Kailastila gas field located at Golapgonj, Sylhet, is one of the largest gas fields in Bangladesh. It produces a high amount of condensate along with natural gas. For the high values of GOR, it may be treated as a wet gas at reservoir condition. Three main sand reservoirs are confirmed in this field (upper, middle and lower). In this study, it has been shown that reservoir parameters of this gas …
Published in Journal of Petroleum Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 7–15 Read article
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Numerical Simulation of Efficient Two-dimensional Based Perovskite Solar Cell by Changing the Hole Transporting Layer
Abstract: In the designing of Photo Solar Cell (PSC) the choice of suitable electron transport layer (ETL)/ absorber layer / hole transport layer (HTL) with optimal thickness is very important. In the present device configuration of perovskite solar cell is TCO/ electron transport layer (TiO2)/ absorber layer (CH3NH3PbI3)/ hole transport layer (MoTe2/MoSe2/MoS2)/ metal back contact (Au). In the suggested device Hole transport layer was changed one by one with the MoTe2, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 23, Issue 3, 2021 · pp. 11–19 Read article