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1934 articles for “processing methods” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation
Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article
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Aerodynamic Analysis of Foliage Stimulated Airfoil Design for Enhanced Strength with Carbon Fibre-reinforced Polymer
Abstract: Ever since the beginning of aviation, there has been an unwavering desire to improve airfoil design in order to improve aircraft performance. This insatiable desire for improvement has driven innumerable aerodynamicists to create a diverse range of revolutionary airfoils. This research investigates a revolutionary method to airfoil design, inspired by the complicated structures and aerodynamic qualities of natural leaves. Using biomimicry, the project seeks to increase the performance and efficiency …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 560–616 Read article
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Digital Transformation of Urban Infrastructure with the Help of AI Guardians
Abstract: The construction industry continues to face challenges related to quality control, safety protocols, and meeting project deadlines. These issues often result in significant cost overruns and project delays. Traditional inspection and site management approaches rely heavily on manual work and individual judgment. As a result, human errors can easily occur, and these methods provide only limited snapshots of site conditions over time. This paper presents a comprehensive framework that uses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 16–25 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Plc Hmi base testing machine data loger with usb excel data export
Abstract: The PLC-HMI-based testing machine data logger is designed to acquire, process, and log real-time sensor data using a PLC analog input card. This system is developed for industrial applications requiring accurate measurement, monitoring, and data storage. The setup integrates an HMI (Human-Machine Interface) for visualization and control, while a USB-based Excel data export feature ensures efficient data management. The system incorporates four key transducers: 1. Water Flow Sensor – Measures …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 47–54 Read article
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PREPARATION AND CHARACTERIZATION OF ACTIVATED CARBON FROM ORANGE PEELS
Abstract: In this study, an attempt was made to establish Green Energy from agricultural waste (orange peels). Activated carbon (AC) produced from orange peels with chemical activation agent i.e. phosphoric acid (H3PO4) by carbonization activation process. The influences of the process, carbonization temperature and activation temperature (600 °C) for time 2 hour with H3PO4 of 1:1 ratio on the resulting activated carbon properties were evaluated. The AC is an excellent adsorbent …
Published in Journal of Catalyst & Catalysis · Vol. 5, Issue 1, 2018 · pp. 15–20 Read article
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Challenges and Prospects of the Use of Horizontal Directional Drilling Techniques for Laying Oil and Gas Pipelines in Nigeria
Abstract: Nigeria pipelines, especially the petroleum and petroleum product pipelines are always vandalized by the sabotage. Huge amount of money is expended to put the damaged pipeline in good shape; and petroleum and petroleum product transfer is sometimes hampered due to leakages and damages caused by the oil thieves. Also huge money is being budgeted yearly to secure the pipelines. To combat this problem, horizontal directional drilling (HDD) is being proposed. …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 9–20 Read article
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An Optimal Bidding Strategy for Social Welfare Maximization of Microgrid
Abstract: Competition in power markets implies benefit to the generators as well as customer. The uncertain nature of bids and behavior of renewables makes the bidding strategy more complex. The power market comprises of Generation companies (GENCOS), Transmission companies (TRANSCOs) and Distribution companies (DISCOs) which actively participate in the auction process. In this paper, a new bidding strategy for a microgrid in day-ahead market is proposed for social welfare maximization considering …
Published in Journal Of Network security · Vol. 8, Issue 1, 2020 · pp. 11–21 Read article
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Implementing FP-Growth Algorithm using Map Reduce for Mining Association Rules
Abstract: Abstract: In mining frequent itemsets, one of most important algorithms is FP-growth. FP-growth proposes an algorithm to compress information needed for mining frequent itemsets in FP-tree and recursively constructs FP-trees to find all frequent itemsets. Map Reduce is a distributed processing framework where the application is divided into many fragments of work, each of which may be executed on any node on a cluster. The main objective of this paper …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 2, 2019 · pp. 18–29 Read article
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Design and Implementation of Improved Image Compression Algorithm using Hybrid Approach of DWT, DCT and SVD
Abstract: In today’s digital world, the latest technology is being developed in field of communication, network, digital data storage, etc. Use of internet is increased rapidly in world of business and profession. A study conducted by research says that 1.1 billion people have regular web access and use application like electronic mail, instant messaging, social networking, online messaging etc. which, helps in growth and knowledge sharing in different domains such as …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 2, 2017 · pp. 1–5 Read article
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Histogram Equalization for Image Enhancement Using Kidney Ultrasound Images
Abstract: Medical image processing plays an essential role in providing information in wide area for such advanced images. Kidney Ultrasound image (KUI) is an advanced medical imaging technique providing rich information about the size, shape, and location of the kidneys. KUI obtained from Doppler technique colored coded vessels is a valuable tool to help physicians to diagnose and treat various diseases. Ultrasound technology allows quick visualization of the kidneys and related …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 20–26 Read article
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Detecting Fake Accounts on Social Media Using Machine Learning
Abstract: The growing frequency of fake accounts on social media platforms underscores the critical necessity for effective detection methods. In response to this challenge, our study leverages state-of-the-art machine learning techniques to identify and counter deceptive entities effectively. By conducting a thorough analysis of social media data, our approach unveils intricate patterns indicative of fraudulent accounts, enabling proactive measures against them. Through the application of advanced algorithms, we present a comprehensive …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 21–32 Read article
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NLP Revolution in Education Feedback Analysis: Trends and Challenges
Abstract: Artificial Intelligence (AI) is a rapidly growing area of study in many domains like research and business. Various subsets of AI, such as Machine Learning, Deep Learning, and Natural Language Processing (NLP), are employed to address diverse aspects of data processing and modeling. This review is about the impact of AI on the education system and students feedback for the analysis is required for the enhancement of the technology used …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 1, 2023 · pp. 21–25 Read article
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Construction and Standardization of Beauty Satisfaction Scale for Adolescents with Cleft Lip and Palate
Abstract: This study outlines the methodology and findings of a study that aimed to create a tool for assessing adolescents with oral facial clefts’ levels of beauty satisfaction. The development of this tool includes a well-detailed literature survey, focus group discussion with adolescents with oral facial clefts, and the wide process of consultation with the cleft surgeon, orthodontist, pediatrician, and clinical psychologist. Further test construction includes planning of the scale, item …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 19–23 Read article
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Using FEA Simulation and Photoelasticity Techniques to observe Integrated Stress Pattern for Transparent Polycarbonate Rectangular Specimen having Arc Feature
Abstract: In the fields of mechanics and materials science, photoelasticity is a reliable experimental method that provides a visual evaluation and analysis of the distribution of stress in materials that are transparent or translucent. This non-destructive testing technique uses the special property of materials known as birefringence, or double refraction, to visualise stress on a model under load. The process involves building a physical model that mimics real-world structures, applying mechanical …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 55–63 Read article
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An Investigation into the Efficacy of a Structured Teaching Program on Hypnobirthing Knowledge Among Final-Year GNM Students in Designated Nursing Schools in Vijayapur
Abstract: Pregnancy is a lengthy journey that is best navigated with support. The process of labor is often overwhelming, involving intense sensations and emotions. Women benefit from having supportive individuals with them to assist in coping with the challenges of labor. Regardless of the level of childbirth preparation or prior experiences, women require a combination of psychological and physical coping methods during labor and childbirth. The term “labor” refers to the …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 1–29 Read article
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Agrobot: IoT Enabled Crop-care
Abstract: Agriculture serves as the foundation of global civilization, particularly in nations like India, where it accounts for roughly 70% of the GDP, underscoring its pivotal role in economic stability. Despite its significance, traditional agricultural practices have often overlooked critical elements such as disease identification and precise pesticide application, focusing primarily on conventional methods like harvesting and seedling techniques. To address these gaps and usher in a new era of efficiency …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 1, 2024 · pp. 38–45 Read article
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A Study to Explore Ageing Related Preparedness among the Employees of a Selected Hospital, Ludhiana, Punjab
Abstract: Life is always in a state of perpetual change. The two types of changes that people experience over lifetime may often be described as biological and sociogenic ageing. Ageing in humans refers to a multidimensional process of physical, psychological and social change. A need was felt to study the preparedness of middle aged individuals in job; how much are they ready to meet the needs and challenges of ageing. The …
Published in Journal of Nursing Science & Practice · Vol. 6, Issue 2, 2016 · pp. 7–12 Read article
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A Comprehensive Analysis of Alzheimer’s Disease
Abstract: Alzheimer's disease, the most prevalent form of dementia, is a progressive neurological disorder characterized by cognitive decline, particularly in memory function. The condition manifests in two primary forms: familial Alzheimer’s disease, affecting individuals under the age of 65 years, and sporadic Alzheimer’s disease, which constitutes the majority of cases and primarily afflicts adults aged 65 years and older. The prevalence of Alzheimer’s disease is influenced by various factors, such as …
Published in Research and Reviews: A Journal of Toxicology · Vol. 13, Issue 2, 2023 · pp. 26–32 Read article
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Periphyton Used as Live Food in Fresh Water Sustainable Aquaculture: A Review
Abstract: AbstractThe present study reviewed periphyton used as live food in aquaculture and periphyton classification on the basis of substrates used for growth. Hence, periphytic growth was estimated by different researchers depending upon types of substrates, type of habitat and animal used. Different aquaculture traditional methods are used in various regions of the world. It has role in nutrient transfer and uptake of nutrient from the lower trophic level to higher …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 8, Issue 3, 2019 · pp. 5–12 Read article