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77 articles for “region segmentation”
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DNA Barcoding and Sequence Analysis of Annona reticulata Linn.
Abstract: AbstractDNA barcoding is the use of short DNA sequences (~650 bp) of the standard segment of genome for large scale species identification. The Consortium for the Barcode of Life (CBOL) plant-working group recommended 2-locus combination of rbcL and matK as the standard plant barcode. These two regions of chloroplast DNA were chosen due to efficient recovery of quality sequences and high levels of species discrimination. In this study, seven samples …
Published in Research & Reviews : Journal of Herbal Science · Vol. 7, Issue 3, 2018 · pp. 24–32 Read article
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A Comprehensive Review on Brain Tumour Classification through Deep Learning Utilizing Convolutional Neural Networks
Abstract: Abstract- Convolutional neural networks (CNNs) constitute a widely used deep learning approach that has frequently been applied to the problem of brain tumor diagnosis. Such techniques still face some critical challenges in moving towards clinic application. Brain tumours are classified using a biopsy, which is not normally done before conclusive brain surgery. The enhancement of this technology by machine learning could aid radiologists in tumour detection without the use of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 3, 2023 · pp. 24–29 Read article
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Multiple Intestinal and Mesentrical Lymphangiomas in a 16-year-old Male: A Case Report
Abstract: Lymphangiomas are rare benign tumor of lymphatic vasculature. These usually occur in skin and soft tissues ofhead, neck and axillary region. Very rarely these affect gastrointestinal tract. Here, we present a case of lymphangiomatos is in a 16 year old male who was presented with acute abdomen. Exploratory laparo to my done and multi-lobulated mass in the intestinal wall and mesentry found. Segment of ileum, caecum and part of colon …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 3, 2016 · pp. 41–44 Read article
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Geo AI-Powered Urban Footprints
Abstract: In the contemporary era, building footprints are of paramount importance for accurate and current inventories in the development of infrastructure and geospatial analysis. Traditional methods, relying on manual digitization, were largely unsustainable as the urban regions were growing rapidly. Manual digitization was expensive and lacked geometric precision. This paper introduces an automated, end-to-end GEO AI-powered framework for high-end fidelity building footprint extraction from Google Satellite Data. Our approach for this …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Design Simulation and Assessment of Image De-noising through Improved Median Filters Based Sub band Decomposition
Abstract: The quality of an image sequence can degrade due to a number of causes, such as noise in the recording, transmission, or scanning. Additionally to enhancing the visual appeal, filtering offers the advantage of facilitating subsequent image processing tasks like coding, interpretation, or analysis. While attempting to restore a perfect image from a faulty copy, noise reduction is a top concern. Because of this, there isn't a single strategy that …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 2, 2022 · pp. 9–21 Read article
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Automatic Language Identification using Basic Signal Class
Abstract: Automatic language identification (ASLID) is a problem of identifying an unknown language from spoken utterance by a computer. A segmental approach to ASLID based on the assumption that the acoustic structure of languages can be estimated by segmenting speech into three basic classes of speech signals. This paper presents a procedure of ASLID with the details of methodology and the results without recognizing the words, but the lengths segments of …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article
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Knowledge, Attitude and Practices of Infant and Young Child Feeding among Mothers/Caregivers Tigray, Ethiopia
Abstract: Background: Foetal life and early childhood years are the phases when growth and development are maximum, coinciding with a period of great vulnerability to sub-optimal environment. Nutrition during the entire life cycle is a key driver of growth and development. Children <2 years are the most vulnerable segment of the community. Appropriate evidence-based feeding practices are essential for attaining and maintaining proper nutrition and health. Objective: The aim of the …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 29–40 Read article
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A Robust and Real Time Approach for Scene Text Localization and Recognition in Image Processing
Abstract: The text localization and recognition in real-time scene text images is still a big issue in current applications. Mobile application and digitization in real world gives a vital and broad impact on real-time scene text images. However, the efficiency of recognition rate depends upon the text localization, i.e., higher the purity of text background segmentation and decomposition, higher the rate of accuracy for the image recognition. In this paper is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 2, Issue 3, 2015 · pp. 16–22 Read article
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Review on Fatigue Behavior of Nut and Bolt
Abstract: This articles is study about the characterization of nut and bolt. Design standards and reticulated scripture have associated herewith after factory acceptance test (FAT) classes. Henceforth bolt and nut script has protocoled from accessible region merged fame from three multi-international continental design standards. These are the American Bridge Design Specifications AASHTO: 2012, the European Standard EN 1993-1-9:2005 and British Standard BS 7608:2014. Frequent applicability of bolted connection has scriptive issued …
Published in Trends in Machine design · Vol. 8, Issue 2, 2021 · pp. 21–29 Read article
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A Sociolinguistic Perspective on Hausa Loanwords in the Kəlba Language
Abstract: Linguistic borrowing is seen as a significant source of language development and enrichment. This study examines Hausa loanwords borrowed into the Chadic language of Kəlba, which is spoken in Gombi, Hong, Maiha, Mubi North, and Mubi South local government areas of Adamawa State, Nigeria. The lingua franca in most of northern Nigeria is Hausa, one of the indigenous national languages of the region. The primary sources of data for the …
Published in Emerging Trends in Languages · Vol. 2, Issue 1, 2025 · pp. 27–32 Read article
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Identifying a Unique Color Using Image Processing
Abstract: This work describes a method for detecting colors in a three-dimensional image utilizing a color threshold-holding technique implemented in Python and to detect user selected color in an image RGB color module is used. Conversion of three-dimensional RGB picture format to BGR image format is one of the methods used to identify color in data. Since we are using Python, it should be converted to BGR image format. Detecting connected …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 17–22 Read article
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A Novel Decomposable Pixel Component Analysis Algorithm for Automating Multispectral Satellite Image Denoising
Abstract: In comparison with the standard RGB or gray-scale images the usual multispectral images (MSI) is intended to convey high definition and an authentic representation for real world scenes to significantly enhance the performance measures of several other tasks involving with computer vision, segmentation of image, object extraction and object tagging operations. However, in practices a MSI image is always prone to corruption by various sources of noises while procuring the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 3, 2014 · pp. 18–25 Read article
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Study on Brain Tumor Detection Using Morphological Operations in MATLAB with Graphical User Interface (GUI)
Abstract: Brain tumor detection plays a crucial role in early diagnosis and effective treatment planning. This research presents a MATLAB-based Graphical User Interface (GUI) for Brain Tumor Detection, incorporating a comprehensive pipeline of image processing techniques. The GUI provides a user-friendly platform, empowering medical professionals to accurately and efficiently analyze MRI brain scans. The GUI begins with text removal to eliminate any textual artifacts that may be present in the MRI …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 24–31 Read article
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A Survey of Seasonal-based Movie Recommendations Using Machine Learning Through a Hybrid Approach with User Interest in Various OTT Platforms
Abstract: No matter their age, gender, race, color, or region, everyone enjoys watching films particularly during festival season. We are all, in the most basic sense, connected to one another through this beautiful medium, but what really grabs attention is the fact that, regardless of how unique our choices and combinations are in terms of picture show preference, one thing remains constant. Certain people have a preference for certain types of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 1, 2024 · pp. 24–29 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Improved Vision Based Algorithm for Deep Web Data Extraction
Abstract: Several systems and languages have been proposed for solving web-data management problems, but none of existing system addresses all the problems from a unified perspective. Most of the existing link analysis algorithms treat a web page as a single node in the web graph. However, in most cases, a web page contains multiple semantics and hence the web page might not be considered as the atomic node. New web content, …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 28–37 Read article