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1331 articles for “FE analysis”
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Examining Research Patterns and Concepts in Relation to Frameworks for Sustainable Supply Chain Management (SSCM)
Abstract: Structures abound in writing about Sustainable Supply Chain Management (SSCM). Nevertheless, no effort has been made to date to identify the anomalies in the systems that are in place now and the associated research trends. This research is motivated primarily by a survey of SSCM structures and feature abnormalities. The analysis also promotes new applications and aids in the analysis of SSCM structure constructions and exploration patterns. Using the Scopus …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 2, 2023 · pp. 26–41 Read article
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Energy-efficient Image Classification on Edge Devices: Implementation and Evaluation
Abstract: Image classification is a computer vision problem where an algorithm determines a class or label for a given image. Various real-time applications like object recognition, medical diagnosis, person recognition, etc. Image classification property on edge devices is useful for autonomous vehicles, surveillance, and healthcare and internet of things deployments. The advancement of deep learning based methods and graphics processing units (GPU) devices allows efficient processing locally. The study utilizes a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 10–18 Read article
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Terraform: Accelerating Infrastructure Deployment Through Infrastructsure as Code
Abstract: This paper provides an in-depth analysis of Terraform; an open-source Infrastructure as Code (IaC) tool developed by HashiCorp. It explores how Terraform transforms the way infrastructure is built, managed, and maintained across different cloud platforms and on-premises systems. Through a detailed analysis of its features, workflow, and real-world applications, we demonstrate how Terraform significantly enhances operational efficiency, reduces deployment times, and ensures consistency in infrastructure management. The paper includes code …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 7–15 Read article
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Design, Synthesis, and Spectroscopic Elucidation of 3-Methyl-1-Phenylpyrazol-5-One: A Cheminformatics-Aided Approach to Heterocyclic Drug Scaffolds
Abstract: Pyrazolone, a notable heterocyclic compound, has drawn increasing interest due to its broad pharmacological profile and structural versatility. The synthesis, characterisation, and biological assessment of new pyrazolone derivatives are examined in this work. A comprehensive review of existing synthetic strategies is presented, emphasizing green and efficient methodologies. Novel derivatives were synthesized using varied starting materials and catalytic systems, followed by structural confirmation through spectroscopic analyses, including NMR, IR, and mass …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 29–40 Read article
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Recycling and Reinforcement of Retired EV Battery Materials in Polymer Composites for Sustainable Engineering Applications
Abstract: The rapid proliferation of electric vehicles (EVs) has led to a substantial increase in lithium-ion battery waste, necessitating sustainable strategies for material recovery and reuse. This review explores the valorization of retired Electrical Vehicle batteries within polymer and composite systems, highlighting second-life applications as a promising pathway toward circular material utilization. Batteries retaining 70–80% of their original capacity remain suitable for extended use; however, beyond conventional energy storage, their constituent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 362–371 Read article
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Performance based seismic design of reinforced concrete asymmetrical building
Abstract: The nonlinear static analysis of asymmetrical G+20 reinforced concrete building is carried out using design tool. Nowadays, in most of the RCC framed buildings irregularities are commonly observed. Buildings needing simple regular geometry suffer much less damage than buildings with irregular configuration. The poor performance and structural damages in an irregular building type of structures during the frequent earthquakes increased the need to determine and evaluate the damages in the …
Published in Journal of Construction Engineering, Technology & Management · Vol. 10, Issue 1, 2020 · pp. 29–36 Read article
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Design and Development of Electromagnetic Braking System Based on Electromagnetic Induction and Eddy Current
Abstract: In this paper, electromagnetic braking system has been developed that ensures passenger’s, driver’s and other road user’s safety and comfort. Most of the conventional braking system like mechanical, hydraulic, pneumatic have certain limitations. In mechanical brake, erosion of the mechanical pads is carried out by frictional force and requires periodic replacement of the bearing. Fluid leakage in hydraulic and pneumatic could lead to brake failure and reduces the effectiveness of …
Published in Trends in Machine design · Vol. 9, Issue 3, 2022 · pp. 9–23 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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An Exploration on Data Mining for Face Detection based on Real time Face Tracking
Abstract: AbstractData mining has been extensively used to gather meaningful information and to improve the significant relationship for the variables warehoused in large data stores. Machine learning provides the technical basis of data mining. Automatic face recognition research which try to give the computer ability to recognize face to distinguish characters. As a key technology of biometrics face recognition technologies, in public security, information security, financial, and other fields has potential …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 46–51 Read article
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Identification of Papaya Fruit Ripening Process Using AI
Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article
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Optimization of turning process parameters for Titanium grade 5 using Taguchi method
Abstract: In the contemporary world, the standard of the surface end is most significant demand for several turned work piece due to that maker's square measure seeking to stay competitive in the market. Taguchi parameter style is a powerful tool and efficient methodology for optimizing quality and performance output of the producing method. This paper investigates the parameters poignant the surface roughness manufacture in turning method for material Titanium Grade 5. …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 2, 2019 · pp. 17–22 Read article
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Magnitude and Factors Associated with Tetanus Toxoid Vaccination among Female Youth in Mekelle City, Ethiopia: A Community Based Cross-Sectional Study
Abstract: Introduction: Tetanus can occur worldwide, and, in all age-groups, who acquire the infection through unhygienic conditions and in the youths, who have insufficient antitoxins due to no or sub-optimal immunization to protect themselves and their newborn babies. Objectives: To assess the magnitude and factors associated with tetanus toxoid immunization among female youths in Mekelle City, Tigray Regional state, Ethiopia. Method: Community based cross sectional study design was conducted. A total …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 3, 2019 · pp. 11–21 Read article
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Evaluation of the Emission and Engine Operability of Biodiesel and Biodiesel Blends Produced from Alkali-Catalyzed Esterification and Transesterification of Jatropha Oil Feedstock
Abstract: This study reports on the engine performance analysis of biodiesel and blends produced from jatropha-based bio-oil feedstock via combined esterification and transesterification process, the physiochemical of the bio-oil, and subsequent biodiesel produced. Jatropha bio-oil was characterized to determine its fuel properties. A liquid phase transesterification reaction at 60 min reaction time, 50°C temperature, using a methanol-oil molar ratio of 40:1 and 0.35 g of sodium hydroxide (NaOH) catalyst was carried …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 9–21 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Experimental and Numerical Investigation of Corrosion-Induced Failures in Copper-Tin Alloy (Cu-Sn) and Aluminum-Magnesium Alloy (Al-Mg) Connectors: A Stress–Corrosion Coupling Analysis
Abstract: The utilization of an integrated experimental and finite element modelling (FEM) methodology, this study investigates the degradation and failure mechanisms in polymer composite electrical connectors exposed to aggressive environmental conditions. Epoxy- and polyamide-based composites, reinforced with carbon and glass fibers, were subjected to accelerated salt spray and humidity–temperature cycles to simulate prolonged outdoor exposure. Electrochemical and environmental aging experiments revealed that chloride ions and moisture ingress were responsible for matrix …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 366–379 Read article
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Integrated Microfluidic Platform for Accelerated Catalytic Analysis: Enhancing Sensitivity and Efficiency
Abstract: In this study, we introduce a groundbreaking advancement in microfluidic technology tailored for catalytic and catalytic analysis. Our innovative microfluidic device integrates novel features aimed at augmenting sensitivity and accelerating analysis while ensuring reliability and user-friendliness. The hallmark of our device is the fusion of sample preparation and analysis functionalities within the microfluidic chip. By embedding sample preconcentration and purification modules, we achieve remarkable enhancements in sensitivity and detection limits. …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 2, 2023 · pp. 51–27 Read article
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Parallel Conwip for a High-mix Multi-stage Production System with the entrance of rework
Abstract: In a complex production environment, more than one type of pull systems is often used to regulate the processesof different products. In literature, performance studies appertaining to multiple pull systems co-existed in aproduction environment are rare. The present paper evaluates the performances of parallel CONWIP (PC)systems in a high-mix production system with the entrance of rework. The production comprises three stages ofshared-machine facilities. Reject parts produced by the first stage …
Published in Journal of Production Research & Management · Vol. 1, Issue 1-2-3, 2011 · pp. 21–44 Read article
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Nail Image Processing for Early Symptom Detection of Diseases based on Supervised Learning
Abstract: Digital Image Processing of human nail can be used for the prediction of various systemic and dermatological diseases. The proposed system – Nail Image Processing System using SVM (NIPS-S) helps us to create a model for the analysis of human nail and predict various diseases. The input to the proposed system is the Human Palm Image. The nail portion is segmented and a combination of nail color, shape and texture …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 49–61 Read article