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372 articles for “Extraction process”
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AI-Based Criminal Identification System A Breakthrough Approach
Abstract: Identifying and locating a perpetrator is a time-consuming and difficult process. The perpetrators are growing more skilled, leaving no biological evidence or fingerprint impressions at the crime scene. Using cutting-edge face recognition technology is a quick and easy solution. Through the use of linear programming, this research presents an innovative approach to classifying all face tracks collectively. In addition to the following, it incorporates: a novel method for extracting more …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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Modeling of Maximum Power Point Tracking Controllers for Wind Generation System using Hill Climb Searching Technique
Abstract: In this paper, based on a low-cost, small-scale application, presents a Maximum Power Point Tracking (MPPT) controller for wind generation systems (WGS). The Hill Climb Search approach served as the foundation for the development of the MPPT algorithm. To account for the inertia of wind turbines, an enhanced hill-climb searching approach has been created as a fundamental component of the max-power extraction algorithm. Under varying wind conditions, the generator can …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 3, 2023 · pp. 39–47 Read article
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Evaluation of Tensile Properties of Waste Cornhusk Fibre Reinforced Epoxy Composite
Abstract: Composite materials are generally used in various manufacturing and construction applications around the globe. Properties like lightweight, fatigue resistant, effortlessly moldable makes composites a favorable material for various applications. Composites meet various design requirements with important factor of weight reduction of the part or the product to be manufactured. This lighter materials are nowadays preferred over the conventional materials as they are helpful in absorbing the impact load and vibrations. …
Published in Trends in Machine design · Vol. 7, Issue 2, 2020 · pp. 22–24 Read article
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Artificial Intelligence and Constitutive Modeling Equations for Predictive Design of High-Performance Polymer Composites
Abstract: Growing polymer composite applications demand accurate mechanical prediction, yet complex interactions and conventional constitutive models limit predictive capability and require extensive calibration. To report these challenges, this research recommends a combined Artificial Intelligence (AI) and constitutive modeling approach based on an Enhanced Tasmanian Devil Optimizer-tuned Residual Neural Network with Multilayer Perceptron (ETDO-ResNet-MLP) for the predictive design of high-performance polymer composites. The study uses a publicly available Polymer Composite Property Dataset …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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An Intelligent Neural Networks Approach for Monitoring of Soilless Urban Farms
Abstract: Urban agriculture is increasingly recognized as a sustainable approach to addressing food security challenges in rapidly growing and densely populated cities. Conventional soil-based farming often faces limitations such as space scarcity, excessive water consumption, and environmental degradation. To overcome these challenges, soilless farming techniques such as hydroponics and aeroponics have gained significant attention due to their efficient utilization of space, reduced water requirements, and potential for year-round crop production. However, …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 31–37 Read article
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Green Synthesis of Copper Nanoparticle for the Treatment of Neurodegenerative Disease
Abstract: The study of ecologically friendly CuNP synthesis is a growing area with potential applications in biomedical research and environmental remediation, as well as sustainable nanotechnology. Generally, reducing, and stabilizing agents such as microbes, plant extracts, or other natural sources are used. The green synthesis methodology guarantees the production of nanoparticles with desired characteristics for biomedical applications while simultaneously mitigating the environmental effect that comes with conventional chemical processes. CuNPs possess …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 13–24 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Design of Plant for the Production of 30,000 Tons Per Year Capacity of Dimethyl Carbonate (DMC) from Natural Gas Using Aspen HYSYS
Abstract: This study focuses on the design of a plant for the production of 30,000 tons per year of dimethyl carbonate (DMC) from natural gas. The plant design was carried out using the Aspen HYSYS Software. The data obtained from Kokori natural gas served as the primary feedstock for the plant. A kinetic model for the production of DMC was developed from existing literature, followed by the development of the mathematical …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 · pp. 45–60 Read article
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Theoretical modelling of heat transfer in non-homogeneous porous media
Abstract: The paper is focused on the study and analysis of heat transfer in geothermal substrates made up of non-homogeneous porous media. The paper analyses the influence of porosity on the heat transfer as a result of the combination of conduction and convection mechanisms that take place in non-homogeneous porous materials. As a result of the combined effect heat transfer is not homogeneously distributed throughout the cross section of the geothermal …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 2, 2022 · pp. 44–51 Read article
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Fused Deposition Modelling-based 3D Printing: A Systematic Literature Review Employing VOS Viewer
Abstract: Fused Deposition Modelling, also known as FDM, has emerged as a major technology in the field of 3D printing. It provides adaptability and cost-effectiveness in the process of materializing intricate designs. This paper intends to conduct a complete bibliometric analysis (BA) of 3D printing based on fused deposition modelling (FDM) in order to comprehend the trend and research field. After extracting data from the Scopus database using the titles, abstracts, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 197–202 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Advancements in Ore Beneficiation Technologies: A Review of Modern Extraction Methods
Abstract: Ore beneficiation plays an essential role in the mining industry, as it facilitates the extraction of valuable minerals from their ores while ensuring maximum efficiency and minimal environmental impact. Beneficiation technologies have evolved significantly over time, leading to improvements in metal recovery rates and reduced waste generation. These advancements have enabled the mining industry to address increasing resource demands, with a particular focus on sustainability and cost-effectiveness. In this review, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 36–40 Read article
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Proposal of System for High Efficiency Energy Extraction from LNG and Study of Use of EGR and SCR System in Ships
Abstract: The paper focuses on the green shipping methodologies and environment friendly practices. Liquefied natural gas (LNG) is one of the most effective alternatives to traditional shipping fuels. Ports have LNG re-gasification systems, which generally use Open Rack Vaporizers (ORVs) to convert the LNG to NG. In this process, a lot of the ‘cold energy’ is lost. A proposal for a LNG re-gasification system has been made in this paper which …
Published in Journal of Offshore Structure and Technology Read article
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Deep-globe Challenge for Road Extraction Using Convolution Neural Network
Abstract: High-resolution lackey pictures contain a riches of information. They're too intense to decipher. For various operations, it's vital to snappily and straightforwardly distinguish streets from fawning pictures. The thought is to create a bracket demonstration to prize street systems from today’s pictures. The technique of the proposed strategy is grounded on the pre-processing of the disciple information to enhance the picture quality, which in turn comes about in superior comes …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Evaluating the Influence of Temperature on the Efficacy of Capparis Decidua Extract as a Corrosion Inhibitor for Aluminium in Acidic Media
Abstract: The study investigates the anti-corrosive properties of the ethanolic extract of Capparis decidua fruit on aluminum corrosion in a 2N HCl acid solution, using a weight loss technique at temperatures ranging from 303 to 343 K. At a concentration of 0.45%, the inhibition efficiency (η%) is notably high, reaching 63.15% at 303 K. The inhibitor's adsorption behavior on the aluminum surface is consistent with the Langmuir adsorption isotherm, suggesting that …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 3, 2024 · pp. 58–65 Read article
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Comprehensive Review Article on Nutraceuticals and Herbal Medicines
Abstract: Ayurveda is a roughly 5000-year-old medical system that is mainly practiced in India. It emphasizes the body, mind, and spirit in illness prevention and treatment and incorporates herbal treatments and diet. Ayurveda is one of the traditional medical systems in India. Ayurveda is based on the idea of avoiding needless pain and leading a long, healthy life. Ayurveda employs natural remedies to eradicate the disease's underlying cause by reestablishing equilibrium …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 · pp. 33–41 Read article
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LLM-based Chatbot for Course-based Question Answering
Abstract: The “LLM-based Chatbot for Course-Based Question Answering” project addresses the pressing need for tailored and efficient learning tools in education. By using a state-of-the-art Large Language Model (LLM) with a diverse dataset, including textbooks, professor slides, and web scraping data, the chatbot offers accurate and contextually enriched responses to students' course-related queries. Using recent advances in language modeling, this work presents a Longformer-based Language Model (LLM) for constructing a smart …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 30–41 Read article
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Modeling and Simulation of Pentacene based Organic Thin Film Transistors with Organic Gate Dielectrics
Abstract: AbstractTwo structures of pentacene organic thin film transistors (OTFT) with organic dielectrics, polymethyl methacrylate (PMMA) and polyvinyl alcohol (PVA) have been numerically simulated with TCAD ATLAS tool. Output and transfer characteristics were simulated and mobility, threshold voltage, sub threshold swing (SS) and current on/off ratio that play a part in the increment of conductivity of device were extracted. The authors show that the semiconductor-insulator interface actively affects the performance of …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 3, 2017 · pp. 13–18 Read article
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Artificial Intelligence and IoT Integration for Real-Time Violence Monitoring
Abstract: The peace and tranquility of any place can be affected greatly by the insurgence of violence and violent attacks that are perpetrated by individuals with malicious and nefarious intentions. These individuals terrorize the areas and can cause a lot of harm and damage to people and public property. The incidences of violence are undesirable and can be problematic to handle by the law enforcement agencies, as these acts are committed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 39–45 Read article
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Natural Language Processing-Based Plagiarism Detector
Abstract: Plagiarism is the act of taking another's work and claiming it as his/her own without giving the credit. Plagiarism is a grave concern in many fields like education, literature, business, etc. The project aims for text and image plagiarism detection employed by a web application containing four modules. Text plagiarism is detected when the input is either text or PDF. For PDF, the text extraction is done from the PDF …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 27–35 Read article