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1893 articles for “pre-processing”
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POTENTIAL BIOPRESERVATIVE EFFECT OF ANTIMICROBIAL PEPTIDES OF SEEDS OF Vigna unguiculata (Cow Pea) ON Hibiscus sabdariffa L. (Roselle) Calyces (Zobo) DRINK
Abstract: Natural and efficient food preservatives are in greater demand because of growing concerns about the safety and quality of processed beverages. Antimicrobial peptides have emerged as promising natural substitutes for synthetic preservatives, boasting advantages like wide-ranging activity and reduced toxicity. In this research, we investigate the inhibitory effects of these peptides against common spoilage microorganisms in 'Zobo' drink. Peptides were extracted and purified from germinated Vigna unguiculata) seeds harvested on …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 1, 2025 · pp. 26–41 Read article
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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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Influence of EDM Process Parameters on MRR and TWR on Mild Steel and Cast Iron using Taguchi’s Method
Abstract: An alternative to conventional machining methods, Electrical Discharge Machining (EDM) uses electrical current for generating controlled sparks that erode surface of the material through thermal energy. Unlike traditional cutting processes, hard and electrically conductive materials with high precision can be machines very easily, which make it suitable for applications in tool and die manufacturing, aerospace, and automotive industries. Tool Wear Rate (TWR) and Material Removal Rate (MRR) for mild steel …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 614–627 Read article
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Automatic Coffee Making Machine Using Verilog HDL
Abstract: This Paper focuses on the design and implementation of a Coffee Machine using Verilog, aimed at understanding how real-life machines can be controlled using digital logic. In daily life, a coffee machine works by taking user inputs, processing them, and giving the required output such as preparing coffee. The main objective of this project is to design a simple digital system that controls the basic working of a coffee machine. …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 18–24 Read article
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Intelligent Robotics using microelectronics Exploring the Future of Smart Machines
Abstract: In the past few years, robotics technology has made remarkable progress. In order to assist humans in their work, robots that can recognise and track people are required; as a result, tools like the "Human Following Load carrier" that can converse and live with people must be created. Localising the robot and its surroundings is one of the primary obstacles in enabling the robot to do different jobs in the …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 10–17 Read article
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Charting the Path Forward: An In-Depth Analysis of Breakthroughs and Hurdles in Artificial Intelligence
Abstract: Recent years have witnessed tremendous progress in artificial intelligence (AI), fueled by exponential increases in processing power and data accessibility. These developments have made it possible for AI to be widely used in a variety of industries, such as healthcare, finance, autonomous driving, and more. Significant difficulties are presented by the "black-box" nature of many AI systems, which lack transparency and the capacity to explain. By encouraging algorithms that can …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 13–23 Read article
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Heat Transfer by Arc Welding for A Similar Material Joint
Abstract: Electric arc welding (EAW) is a traditional fabrication process used in wider domestic, commercial and industrial application. Welding is a joining of two materials with the application of heat at the molecular level with the application of heat and pressure. Many materials used for welding application for different joining process. Maraging steel is special steel used for production of different air-craft components. Maraging material is used for heavy tools, producing …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 1–13 Read article
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Optimization of Process Parameters for FDM Printed Tensile Test Specimens to Reduce Energy Consumption and CO2 Emission for Sustainable Manufacturing
Abstract: Three-Dimensional Printing (3D Printing) is one of the advanced manufacturing technologies which is being tremendously used in many fields because of its innovative applications. The concept of making a three-dimensional product by adding the material layer upon layer through Computer Aided Design (CAD) file data as input source is known as 3D Printing. Fused Deposition Modelling (FDM) is one of the leading technologies from all the available 3D Printing technologies, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 63–71 Read article
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Ultrasonic Dispersion of Halloysite Nanotubes for Enhanced Mechanical, Thermal, and Morphological Performance of Epoxy Composites
Abstract: Halloysite nanotube (HNT)-reinforced epoxy nanocomposites were prepared by mixing HNT with bisphenol-A epoxy (LY 556) using ultrasonication, followed by compression molding. HNT contents of 0–5 wt.% were used. The composites were evaluated for tensile strength, flexural strength, Shore D hardness, Izod impact strength, and thermal stability using thermogravimetric analysis (TGA). The fractured tensile surfaces were also examined to understand the failure mechanism and interaction between HNT and the epoxy matrix. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Comparative Study of the Structure-Property Relationships in CAD/CAM Milled vs. 3D-Printed High-Performance Polymers: Impact of Molecular Orientation on Abrasive Wear
Abstract: Background: The transition from subtractive to additive manufacturing in prosthetic dentistry has introduced significant variations in the macromolecular architecture of high-performance polymers. While CAD/CAM milling utilizes high-density, industrially polymerized blocks, 3D printing (Additive Manufacturing) relies on layer-by-layer deposition, which may induce anisotropic molecular orientation. This retrospective study investigates how these distinct manufacturing "thermal histories" influence the long-term abrasive wear resistance of PEEK and PEKK restorations.Materials and Methods: Data were retrospectively …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Formability analysis of steel and copper based alloy sheet by using Erichsen Cupping Test Machine
Abstract: Metallic material formability study is critical in a variety of industrial areas, including automotive, aerospace, and manufacturing. The present study aims to investigate the formability properties of steel and copper-based alloy sheets using the Erichsen cupping test machine, an established technique for evaluating sheet metal formability. The process involves manufacturing identical steel and copper-based alloy specimens and subjecting them to the Erichsen cupping test. The test determines the maximum deformation …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 49–57 Read article
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Selection of Ionic Liquids for the Design of Separation Processes of CO₂ + H₂S Mixed Waste Gases with Different Compositions
Abstract: The waste gas from chemical plants contains H 2 S gas and a large amount of CO 2 gas. These flue gases can be treated in various ways, and in this paper, the mixed flue gas CO 2 +H 2 S was treated by using ionic liquids (IL) as an absorbent. Ionic liquids are considered green solvents with remarkable good properties. In particular, it is known as a very effective …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 3, 2025 · pp. 44–58 Read article
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Production Methods, Mechanical Characteristics, and Industrial Uses for Metal Matrix Composites
Abstract: Advanced light-weight components known as composites from metal matrix are made of an element the alloy matrix with a second phase incorporated and dispersed throughout to improve certain properties. The composite's property varies according to the remaining phase's size, shape, and quantity. Because of its unique combination of ceramic and metallic features, it has better mechanical and physical qualities. These materials belong to a new breed of engineered materials that …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–5 Read article
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Total Lipids and Storage Quality of Oil Seeds and Nuts as Influenced by Yeast Fermentation
Abstract: Oilseeds and the products made from them have a role in a healthy balanced diet, even though they are energy dense and contain a high proportion of fat. Most oilseeds are made up of protein and oil. In general, fat is 18–45% by weight of oilseeds and protein is about 16–40%. Fluctuations in oil yields can cause significant fluctuations in their rates. The oils contain fat-soluble vitamins and unsaturated fats …
Published in International Journal of Fungi · Vol. 1, Issue 2, 2024 · pp. 29–35 Read article
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Breakthroughs in Arsenic Remediation: Unveiling Groundwater Treatment by Polymer Technologies
Abstract: Arsenic (As) is a metalloid characterized by its toxic properties and ability to undergo variations in oxidation state and bonding configuration. Its existence in groundwater has emerged as a subject of worldwide apprehension, primarily due to its detrimental properties and adverse impacts on human health. A significant proportion of the population residing in the Ganga basin relies heavily on groundwater resources that exhibit elevated levels of arsenic (As) for various …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 102–109 Read article
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Multimodal Generative AI for Vehicular Applications at Edge
Abstract: This paper explores how the rapid advancements in vehicular technology, including autonomous driving and intelligent transportation systems, have driven the need for real-time data processing and decision-making. Multimodal generative AI, when deployed at the edge, offers a powerful solution for vehicular applications by leveraging diverse data sources such as video, audio, sensor inputs, and environmental data. This paper explores the integration of multimodal generative AI with edge computing in vehicular …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 27–34 Read article
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Transforming Human Resources Leveraging AI Across the Associate Lifecycle for Strategic Success
Abstract: AI is taking the lead in changing the game in human resources by mitigating challenges and optimizing processes throughout the entire associate lifecycle. From pre-hire, AI helps with interview bias, enhances hire projections, and supports talent acquisition with predictive analytics. Once onboarded, AI helps with compensation benchmarking, automates performance feedback with the mitigation of bias, and analyzes associate sentiment through NLP and LLMs. In the middle of the life cycle, …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 30–36 Read article
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Pharma Tech: Leveraging Software for Drug Development & Clinical Research
Abstract: The pharmaceutical sector is progressively adopting software solutions to enhance the drug development process and optimize clinical research results. Drug development is a time-consuming, expensive, and intricate process that traditionally requires extensive laboratory research, preclinical testing, and several stages of clinical trials. Software tools are revolutionizing these stages by improving efficiency, minimizing errors, and speeding up timelines. During preclinical testing, predictive software tools are used to model toxicological effects and …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 11–19 Read article
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Smart City Solutions for Waste Management and Pollution Control
Abstract: Recent trends in the role of artificial intelligence, IoT, and other smart technologies have a critical role toward addressing urban environmental challenges related to air quality and waste management in the context of a smart city. This changes the scope of managing air quality as, with the integration of IoT sensors, big data, and AI, they are able to predict pollution levels through real time monitoring and analysis. These technologies …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article