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14 articles for “Criteria Analysis Matrix”
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Value Measurement of Services of 4G IMT-A Systems: A Perspective of Bangladesh
Abstract: The International Mobile Telecommunication Advanced (IMT-A) is the 4th generation (4G) of mobile communication standards. Since 3rd generation (3G) has not been successfully captured the market in many parts of the world and in the very early stage in Bangladesh, 4G seems to be the emerging technologies to address the user needs in Bangladesh. In this paper, we focus on the value measurement of services of IMT-A systems in the …
Published in Recent Trends in Electronics Communication Systems · Vol. 1, Issue 1, 2014 · pp. 1–12 Read article
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Optimization of Machining Parameters for End Milling of 1018 Mild Steel using Taguchi based Grey Relational Analysis
Abstract: The present work investigate the parametric optimization of end milling operation for 1018 mild steel with multiresponse criteria based on Taguchi approach with the Grey relational Analysis. Taguchi’s L9 orthogonal array which takes nine experimental runs was used to execute the design matrix of machining parameters. Cutting speed (CS), Feed (FD), Cutter RPM and Depth of cut (DOC) are optimized with the consideration of multiple performance characteristics namely Machining time …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 2, 2016 · pp. 36–47 Read article
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Evaluating Low Carbon Supply Chain Practices in India using Fuzzy Tool based Importance and Performance Analysis
Abstract: Abstract The aim of present study is to introduce new logical method to select critical low carbon supply chain practices (LCSCP) having integrated and performance analysis under different environments. The manufacturing companies in India are having lots of loads to reduce environmental pollution. Suitable application of LCSCP ensures proper utilization and also motivates companies to take global pollution-based problems. Therefore, there are few techniques available for the analysis of LCSCP …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 9, Issue 1, 2019 · pp. 29–39 Read article
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Identification of Hub Genes and Enriched Gene Ontology & Pathways in Idiopathic Pulmonary Fibrosis Through Bioinformatics Approaches
Abstract: Idiopathic Pulmonary Fibrosis (IPF) is a progressive interstitial lung disease marked by aberrant remodeling of lung tissue and excessive extracellular matrix deposition, ultimately leading to respiratory failure. Despite ongoing research, the molecular mechanisms underlying IPF remain incompletely understood. This research aims to uncover differentially expressed genes (DEGs) and related biological pathways through an integrated analysis of microarray data. Two publicly available datasets, GSE110147 and GSE53845, were obtained from the Gene …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 1–13 Read article
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Interfacial Performance and Structural Stability of Repaired vs. Replaced Polymer-Based Composites: A 3-Year Retrospective Analysis of 'Patch-up' Restorative Engineering
Abstract: Objective: This retrospective study aimed to evaluate the clinical longevity and interfacial success of repairing aged polymer-based composites versus complete replacement, focusing on the integration between the existing polymer matrix and the new restorative material. Materials and Methods: A retrospective clinical audit was conducted on 50 cases (n = 50) of posterior restorations with localized defects. The sample was categorized into: Group A (n = 25), where defective sites were …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 180–187 Read article
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Experimental Analysis of Mechanical Characteristics of Aluminium Matrix Hybrid Composite Using Seashell Powder And Coconut Shell Powder
Abstract: The purpose of this study is to investigate the manufacturing processes and mechanical properties of composites made of marine shell powder, coconut shell powder, and aluminium. In our project, the MMC was made of aluminium with seashell powder and aluminium with coconut shell powder. A stir casting process fabricated the Composite. The composition of aluminium, seashell powder and coconut shell powder varies. According to the criteria established by the American …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 487–494 Read article
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Optimization of WEDM Process Parameters Using a Hybrid Multi-Criteria Decision Making Approach
Abstract: The effectiveness of the manufactured parts is typically measured by more than one performance characteristics. Hence the manufacturing engineers frequently experience the difficulty in optimizing the multiple responses at a time. The present work is to explore the effect of wire electrical discharge machining (WEDM) process parameters in machining of Aluminum metal matrix composite (AMMC). The multiple performance characteristics of material removal rate (MRR) and surface roughness (Ra) are optimized …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 3, 2018 · pp. 24–30 Read article
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A Study on Selection Issues of An Integrated Service Provider 4PL Using FAHP
Abstract: AbstractThe modified Fuzzy Analytical Hierarchy Process (FAHP) which is proposed after the concepts like fuzziness, uncertainty and vagueness was broadly posed in expert's decision-making. In the Fuzzy Extent Analysis method and α-cut based method, FAHP is described to obtain a crisp priority vector from a triangular fuzzy comparison matrix. Analytical Hierarchy Process (AHP) which especially is based on pair-wise comparisons on a ratio scale. In this present research, initially, the …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 1, 2015 · pp. 1–4 Read article
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An Experimental Study on Multi-Criteria Parameters Optimization of Process for Al6351/SiC/Gr Metal Matrix Composites Using AHP-TOPSIS Approach
Abstract: This research focuses on optimizing the process parameters of Wire Electrical Discharge Machining (WEDM) for a hybrid Metal Matrix Composite (MMC) comprising Al6351 aluminum alloy reinforced with 4% SiC and 6% graphite (Gr), fabricated via squeeze casting. This technique enables the formation of dense, defect-free composites with uniform reinforcement distribution, enhancing both mechanical properties and structural integrity. Microstructural characterization using Scanning Electron Microscopy (SEM) confirmed the even dispersion and bonding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 303–319 Read article
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Using MCDM Methods in automotive industry- A Review
Abstract: In the automobile sector, choosing the best car necessitates weighing a number of factors, including cost, fuel economy, performance, safety, and environmental impact. In order to solve complicated situations that need the simultaneous evaluation of multiple conflicting aspects, Multi-Criteria Decision Making (MCDM) procedures are essential. Among the various MCDM approaches, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and MOORA are widely recognized for their straightforward structure …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 22–28 Read article
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Monitoring and Modeling of Atmospheric Change Indices In Parts of Imo State Using GIS, MATLAB and ANN
Abstract: Geographic Information System (GIS) and Matrix Laboratory (MATLAB) Models were used to study air quality in parts of Imo State. Primary data were obtained by conducting relevant analysis using standard instrumental methods on open-air rainwater samples collected in the dry and the rainy seasons for two consecutive years. GIS showed that the pollutants were present throughout the year. Artificial Neural Network (ANN) of MATLAB 2015 was used to represent data …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 1, 2024 · pp. 25–74 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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Hybrid Machine Learning and Finite Element Framework for Predicting Damage Behavior in Fiber-Reinforced Polymer Composites
Abstract: Fiber Reinforced Polymer (FRP) composites have broad spread use in aerospace, automotive, marine and structural applications due to its high specific strength, stiffness and corrosion resistance. The various damage mechanisms such as matrix cracking, fiber breakage, delamination and interfacial failure, however, make the forecasting of damage particularly complex. In this work, a hybrid machine learning (ML) and finite element (FE) system is proposed for predicting the damage behavior of FRP …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Synthesis and Characterization of Forsterite Incorporated HDPE Composites for Microwave Substrate Application
Abstract: High Density Polyethylene (HDPE) combined with dispersed forsterite (Mg₂SiO₄) powder was utilized to fabricate polymer matrix composites (PMCs) aimed at high-frequency microwave substrate applications. Forsterite powders were synthesized using the mixed oxide method, and their phase purity was confirmed by X-ray diffraction (XRD) analysis. The dispersion and morphology of the ceramic filler within the HDPE matrix were examined through Scanning Electron Microscopy (SEM), ensuring a homogeneous distribution essential for optimal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 109–120 Read article