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49 articles for “filter media”
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A Comparison Study of Different Classification Algorithm on Brain Tumor Segmentation
Abstract: A brain tumor is a tissue mass caused by aberrant cell proliferation in the brain. It is a collection of tissues that causes hormonal alterations and eventually death. In order to save human lives, brain tumors prognosis and prevention is a difficult task. The use of modern medical image processing approaches has made the identification of brain tumors more flexible in recent years. Due to the absence of ionizing radiations, …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article
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A Multi-Quadrant, Integrated and Secure Model of Multiple Watermarking
Abstract: Watermarking safeguards the copyright of digital images with its original owner. A watermarking model is projected by conjoining three distinct multiple watermarking approaches. The secure model is obtained by integrating multiple watermarking with the latest secure cryptographic algorithms. The proposed model will improve copyright protection, achieve large embedding capacity and provide a stronger association amongst image and watermark for integrity and authentication. The multiple watermarking model partitions the cover image …
Published in Journal of Open Source Developments · Vol. 1, Issue 2, 2014 · pp. 15–28 Read article
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Survey Image Denoising with Its Comparative Techniques
Abstract: In Image processing, image denoising is a serious problem at some extent. Removing noise from the original image is still a problem. Various researchers have proposed many algorithms to overcome the problem of image denoising in image processing with its advantages. Depending on the type of the noise, the degradation of the image will vary. This paper presents a review of various researchers. Also present the noise model and their …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 2, 2015 · pp. 23–29 Read article
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Retina Recognition System using PCA-based Discrete Hidden Markov Model
Abstract: In this paper, a unique approach of retina recognition system has been proposed. Principal component analysis based dimensionality reduction technique has been used here and discrete hidden Markov model (DHMM) has been applied to classify the retinal images. The retinal images are taken from DRIVE retina database. Then some image pre-processing techniques such as image scaling, median filtering-based noise reduction and edge-detection techniques have been used to ready the retinal …
Published in Journal Of Network security · Vol. 3, Issue 1, 2015 · pp. 28–32 Read article
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Fetal Ultrasound Image Segmentation
Abstract: The thesis explains development of a time-efficient method for segmentation in fetal ultrasound images so as to recognize femur contour in fetal ultrasound images and refine its shape. The main objective of the project was to develop segmentation of womb and fetus using fetal ultrasound images. Ultrasound segmentation produces detailed visualization of the underlying anatomy of the fetus in real time which can also recognize dynamically varying structures of the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 3, 2014 · pp. 34–39 Read article
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A Simple and Effective Method for License Plate Localization
Abstract: Today the world is growing with new advancements and technologies. These new technologies save the processing time that was consumed by doing manually. One of these technologies is automatic license plate recognition that is used in daily life at toll bars, parking, security, criminal case, and so on. License plate recognition consists of three main stages—plate localization, plate segmentation, and character recognition. Among these, localization is the performance enhancement stage …
Published in Journal of Advancements in Library Sciences · Vol. 5, Issue 3, 2018 · pp. 79–84 Read article
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White Wine Clarification using Ceramic Membranes and Composites by Microfiltration
Abstract: Microfiltration and tangential ultrafiltration applied to wine filtration have become important alternatives to the conventional filtration processes in the wine industry, to obtain beverage with acceptable characteristics for the consumer and viable for industries. Therefore, white wine permeability tests were performed in this work using α-alumina ceramic membranes and composite membranes (ceramic polymer) in order to determine the influence of the structure of the filter media in the permeate white …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 5, Issue 3, 2016 · pp. 1–11 Read article
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Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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Utilization of Fish Excreta for Algae Production
Abstract: AbstractAlgae has been existing on earth since its beginning but its prospective advantages have recently been understood and hence it is now being considered to play a major role in solving some of the most critical problems of the world. However the high cost of algae production is the biggest obstacle in making algae a mainstream candidate for the development of various products. The current study tried to reduce the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 3, 2017 · pp. 9–17 Read article
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Management of Domestic Water Closed Loop System
Abstract: The paper describes a new technological process to reuse, thermally and hydraulically, the water inhome installations. The aim of the process is to reduce water wasting and take advantage of residualthermal energy to minimize energy expenditure. The system is especially developed for homeinstallations although it is also suitable for larger facilities. Filtering processes based on porous mediaensure the physical and chemical water quality while chlorination or disinfection by ultravioletradiation guarantees …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 3, 2023 · pp. 12–22 Read article
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Image Super Resolution Using Back-Projection based on Canny Edge Detection and Gabor Filter Prior
Abstract: In recent years, due to the advancement of mixed media instrumentation and machine gadgets, single-image super resolution has currently been converted into a thought subject. Super-resolution is the procedure of improving a high-resolution image from varied low-resolution pictures of a similar scene. The key goal of super-resolution imaging is to reproduce a higher-resolution image focused around a group of pictures, procured from a similar scene and indicated as “low-resolution” pictures, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 48–56 Read article
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Design and Fabrication of Mini-Household Water Treatment System
Abstract: Access to safe drinking water remains a serious challenge in many developing countries, including Nigeria, due to pollution, poor infrastructure, and ineffective water management. This study presents the design, fabrication, and performance evaluation of a mini household water treatment system that uses charcoal carbon derived from desert date wood. The project aims to provide a low-cost, gravity-driven, and sustainable water purification solution for rural and peri-urban households. The system consists …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 26–37 Read article
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Detection of Heavy Metals Indifferent Soil Samples and Their Bioremediation with the Help of Fungus Cunninghamella sp
Abstract: Due to increased population, industrialization and urbanization are environmental contamination is growing day by day. Levels of some heavy metals (Zn, Pb and Cd) were investigated in various soil samples, nursery sample (NS), nursery sample containing herbicides (HS) and a sample from the area that has less human interference (LHI), after bioremediation with the help of fungus. There are various fungi (Aspergillus sp., Cunninghamella sp., Trichoderma sp. and Candida sp.) …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 8, Issue 1, 2018 · pp. 16–23 Read article
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A Correlational Study to Assess the Effect of Social Media Engagement on Body Image Among Adolescents in Selected School, Haryana, India
Abstract: Social media has become an undeniable force in shaping modern social interactions, particularly among adolescents. Social media platforms are often criticized for perpetuating unattainable beauty ideals. These platforms frequently showcase images highlighting slimness, youth, and flawless skin, often manipulated by filters, photo editing tools, or even cosmetic surgery. These portrayals of "ideal" beauty can distort adolescents' sense of themselves, leading to increased body dissatisfaction. Objectives of the study were: (i) …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 46–64 Read article
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Continuous Process Trickling Filter System with Perforated Spherical Celluloid Hexagonal Close-Packed System for the Removal of Pollutants in Domestic Wastewater
Abstract: Trickling filter system is an attached growth process which removes the pollutants from the wastewater via biological oxidation. In this research, the media is fabricated from perforated spherical celluloid in the arrangement of hexagonal close packed. The targeted compounds are specifically nitrogenous compounds, namely ammonia-nitrogen and nitrate-nitrogen, alongside biological oxygen demand and chemical oxygen demand. The percentage removal of the aforementioned parameters was found to be in the range of …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 2, 2013 · pp. 31–39 Read article
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A Technical Blueprint for AI-Driven Localization in 6G Mobile Networks
Abstract: The advent of sixth-generation (6G) wireless systems promises unprecedented spatial resolution, ultra-low-latency, and pervasive connectivity, turning mobile localization from a peripheral service into a core enabler of immersive extended reality (XR), autonomous logistics, and digital twins. Yet, the sheer scale of dense terahertz (THz) deployments, the stochastic nature of reconfigurable intelligent surfaces (RIS), and the dynamic interference landscape render traditional model-based positioning techniques inadequate. This work investigates how artificial intelligence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 26–34 Read article
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Removal of Blotches and Impulse Noise in Gray Scale Images Using Non-linear Algorithm
Abstract: An image consists of artifact, which appears in an image that is actually not present in the original imaged object. An image artifact (noise) is sometimes the result of improper operation of the imager, and other times a consequence of natural processes or properties of the human body. Blotches (bulk noise) and impulses are the artifacts where blotch can be either bright or dark spots and impulse can be salt …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 22–27 Read article
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Impact of ML in Evolution of Recommender Systems: A Review
Abstract: Recommender systems have become indispensable tools in today's digital era, catering to the overwhelming demand for personalized recommendations in various domains such as e-commerce, content streaming, and social media. The continuous growth of data and user interactions has necessitated the integration of advanced machine learning (ML) techniques to enhance the accuracy and efficiency of these systems. This study provides a thorough analysis of current developments in machine learning methods used …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 26–32 Read article
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AI Voice Detection Tool
Abstract: In today’s digital era, distinguishing between AI-generated and human voices is more important than ever. This project introduces an AI-based voice detection system designed to accurately identify synthetic voices, ensuring security and authenticity across various applications like cybersecurity, media verification, and fraud prevention.Our system works by analyzing incoming audio samples and comparing them against a diverse database of both AI-generated and real human voices. Using advanced machine learning and signal …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 1–8 Read article
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SYNERGISTIC FUSION OF HYPERSPECTRAL AND HIGH RESOLUTION IMAGE FOR IMPROVING PERFORMANCE AND RELIABILITY OF AUTOMATICALLY EXTRACTED URBAN FEATURES
Abstract: Image fusion is a generic word referring to several techniques of digital image processing which are used to integrate data from different spatial and spectral resolutions in order to obtain higher-quality synthetic images. This paper emphasizes the assessment and systematic analysis of image fusion techniques by measuring the quantity of enhanced information in fused images. EO1- Hyperion and IKONOS (MSS+PAN) have been fused using Principal component analysis, Gram-Schmidt Transformation (GST) …
Published in Journal of Remote Sensing & GIS · Vol. 1, Issue 1, 2010 · pp. 1–11 Read article