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1983 articles for “Processes” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
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Building Electrical Power Distribution Efficiency and Performance Optimization by Designing Resilient Systems
Abstract: The building power systems often are exposed to losses due to inefficiencies arising from various sub- systems. The major sub-system within a building includes electrical, mechanical, and plumbing. Although less common for small and medium sized buildings, there is large process equipment when supporting manufacturing or small operations within. One such example is when a building is operating to support systems for the ventilation power and controls for large outdoor …
Published in Trends in Electrical Engineering · Vol. 15, Issue 3, 2025 · pp. 21–27 Read article
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Retrieval Augmented Generation for Question Answering in Financial Documents
Abstract: In recent years, the integration of Question Answering (QA) with the Retrieval Augmented Generation (RAG) system has transformed to interact with numerous documents. It uses Natural Language Processing (NLP) techniques to improve accuracy and relevant responses derived from huge documents. RAG integrates the advantages of the retrieval and generation process, which allows systems to generate natural responses and extract context from multiple sources. The main reason to use RAG is …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 62–68 Read article
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Recent Trends in Rotary Kiln and Refractory Material Patterns in Cement Production: A Review Approach
Abstract: The manufacturing of cement and other industrial operations depend heavily on rotary kilns, which use refractory materials to endure high temperatures and challenging chemical conditions. With an emphasis on their effects on durability and operating efficiency, this study looks at the most recent developments in rotary kiln technology and refractory material choices. Various rotary kiln designs, typical refractory material patterns, and the difficulties posed by kiln failures are all covered. …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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Innovative Applications of AI and Machine Learning in Voice-Driven Systems: Friday AI 2.0
Abstract: The development of artificial intelligence (AI) has enabled the development of increasingly sophisticated models that can understand and react to human questions. This study introduces Friday AI-2.0, a cutting-edge AI model that improves user engagement by using natural language processing (NLP) and voice synthesis technologies to produce text-based and audio-based responses. By increasing engagement through an intuitive and engaging interface, Friday AI-2.0 seeks to improve the user experience. By describing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Eco-Friendly Steel Making for a Sustainable Future
Abstract: The iron and steel industry is one of the most energy-intensive sectors, accounting for approximately 5% of global energy consumption and contributing around 7% of worldwide CO2 emissions. The industry's carbon footprint is particularly challenging to reduce, as carbon plays a crucial role as a stoichiometric reducing agent in conventional steel production. The reduction of iron ore during the manufacture of primary (virgin) steel is responsible for a sizable amount …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 3, 2025 · pp. 6–31 Read article
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Advancements in Zeolite Catalysis for Efficient Oil Refining and Sustainable Energy Production
Abstract: Fossil fuels remain the primary reliable and cost-effective energy source for maintaining the desired product quality. This dominance stems from advancements in petrochemistry and oil refining, driven by substantial investments in research and innovation. The exceptional efficiency of oil refining is largely attributed to the use of zeolites as catalysts, a breakthrough regarded as one of the most significant achievements in modern chemistry. Their applications span across several catalytic processes, …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 2, 2025 · pp. 35–42 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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RFID Based Smart Trolley Billing System Using IoT
Abstract: Customers experience better retail interactions while operations become more efficient in the modernizing retail industry. Shopping through traditional methods requires lengthy manual scanning for products and billing operations leading retailers to require automation solutions for streamlining these processes. This system consists of RFID detection alongside 8051 microcontroller processing and load cells monitoring and uses IoT communications and relay controls to power an intelligent automated shopping cart. Real-time data tracking functions …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Artificial Intelligence in Image Recognition: Context of Machine Vision
Abstract: The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
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Personalized Virtual Interior Design Using Generative AI
Abstract: This study presents an AI-driven virtual interior design system that allows users to effectively redesign their home or workspace with an integrated shopping experience. The system tailors designs according to room type, style, and purpose, ensuring that the created layouts are aesthetically pleasing, well-organized, and functional. In contrast to conventional interior design, which involves professional skill, hand labor, and much time consumption, this AI-based method uses technology to automate fundamental …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 07–12 Read article
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Analysis of Friction Stir Welding Utilizing ANSYS: A Study Based on Simulation
Abstract: Friction Stir Welding (FSW) represents a sophisticated solid-state welding methodology that has attracted considerable scholarly attention due to its efficacy in amalgamating high-strength, lightweight substrates including aluminium, magnesium, and titanium alloys. FSW enables the fabrication of defect free products with a substantial amount of mechanical and wear properties. The process is highly sensitive to various parameters that significantly influence the quality and strength of the final product. Studies have shown …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 62–77 Read article
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Smart Waste Management System Using IoT and KNN
Abstract: Smart Cities are being developed with the goal of providing a comfortable living environment for humans. One of the services these cities will offer is eco-friendly waste collection and processing. This study proposes an Internet of Things (IoT)-based system architecture designed to enable dynamic waste collection and delivery to processing plants or designated waste disposal sites. Traditionally, waste collection was managed in a relatively static manner using conventional operations research …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 42–46 Read article
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Life Cycle Assessment of Solar Panels: Environmental Impacts from Production to Disposal
Abstract: LCA is a way to evaluate the full environmental impact of something—like a product, material, activity, or building—from start to finish. As solar energy adoption accelerates globally, understanding the full environmental implications of PV technology becomes crucial for informed decision-making and sustainable development. The study employs a cradle-to-grave approach, analyzing the environmental footprint of solar panels across multiple impact categories. These include global warming potential, energy payback time, water consumption, …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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MediSense AI - Smart Health Analysis System
Abstract: MediSense AI is a revolutionary health analysis system that empowers users by transforming complex medical data into understandable insights. This platform utilizes advanced technologies, particularly natural language processing and machine learning, to make intricate medical terminologies accessible to individuals without a healthcare background. Leveraging Llama 3, a cutting-edge AI model developed by Meta AI, the system can analyze various forms of medical data, including the ability for users to upload …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 20–30 Read article
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IoT-Based Adaptive Irrigation Solution for Smart Farming
Abstract: Facing escalating global challenges such as water scarcity and unpredictable weather conditions, precision farming emerges as a crucial solution for enhancing agricultural productivity and sustainability. This paper introduces a smart irrigation system which employs IoT-based technology, integrating sensors and a designed to enhance water efficiency and boost agricultural productivity. The system leverages live data related to soil moisture and temperature, cloud cover, and precipitation, coupled with a cloud-based infrastructure using …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 17–24 Read article
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FERMENTED FOODS: FUNCTIONAL AND REGULATORY INSIGHTS
Abstract: Traditional fermented edible products have been in the food industry since ancient times. Today, the fermentation process has become most common in the health food industry. Due to the microorganisms present in fermented food products, the health benefits have been helpful in many ways. Fermentation helps in enhancing gut health, blood sugar, blood pressure, and brain health. These food products also play a major role in lowering cancer risk and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 1–10 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Influence of Carbonyl Iron Particle Loading on the Dimensional and Rheological Properties of 4D-Printed TPU-Based Magnetorheological Elastomers
Abstract: The advancement of 4D printing technologies has created new opportunities for fabricating smart materials with tunable properties, including magnetorheological elastomers (MREs). This study investigates the fabrication and characterization of thermoplastic polyurethane (TPU)-based MREs with varying carbonyl iron particle (CIP) loadings (10–50 wt.%) using the fused filament fabrication (FFF) method. MRE filaments were produced through a solvent-assisted mixing and extrusion process, ensuring consistent diameters within 1.75 ± 0.10 mm. Test specimens …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 127–138 Read article
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Deep Cryogenic Treatment of Copper Chill Plates in Stir Casting of Al6061-Silicon Carbide Composites
Abstract: Aluminum-Silicon Carbide Metal Matrix Composites (Al/SiC MMCs) represent advanced materials created through the integration of aluminum matrices with silicon carbide particle reinforcement. These composites demonstrate superior characteristics compared to conventional aluminum alloys, establishing their relevance across diverse engineering applications. This experimental investigation focuses on developing composites using aluminum as the base matrix while incorporating SiC particles (40-50μm particle size) as reinforcing agents. The reinforcement content was systematically varied from 3 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 116–126 Read article