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1975 articles for “Mean” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Comparative Analysis of Fuzzy C-Mean and Level Set Segmentation Method for Brain Tumor Classes
Abstract: AbstractImage analysis is very important for many methodologies to process and identify the information of biomedical images. The segmentation technique is used to detect and characterize the biomedical images. The understanding of patient disease problem is an important task for radiologists. In this paper, we have presented the Fuzzy C-Mean (FCM) method for an objective function with fitting value and the Level Set Method (LSM) used for initial seeds contour …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
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Predict the Severity of Diabetes Cases, Using K-Means and Decision Tree Approach
Abstract: In recent years, diabetes has emerged as one of the most prevalent infections, and its prevalence is rapidly increasing globally. Type 2 diabetes is common throughout the world. For the management and prophylaxis of diabetes, early detection is crucial. Machine Learning (ML) approaches are rapidly gaining importance in the field of diagnostic purposes due to their ability to classify data. In this article, a mixed recommended technique is presented to …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 2, 2022 · pp. 24–31 Read article
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Estimation of Population Mean Under SRSWOR Using Imputation Technique
Abstract: This research work suggests four log-type imputation methods using auxiliary information for missing observations in a data set. These methods consist of corresponding point estimator for estimating population mean under simple random sampling without replacement. Bias and mean square error expressions are derived up-to first order of approximation. Percent relative efficiency of suggested estimators is compared with the existing estimators using four population real data sets. And it is empirically …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 2, 2018 · pp. 12–20 Read article
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Screening of Mean Platelet Volume as a Prognostic Marker in Patients with Type 2 Diabetes Mellitus
Abstract: In this study platelets volume and its important role as a diagnostic marker was estimated in the prevalence of type 2 diabetes mellitus (T2DM) which are associated with mean platelet volume (MPV). The aim of the study was to investigate if platelets were activated in diabetes and its associated vascular complications by measuring the MPV in the diabetics compared to the non-diabetics, and to determine the correlation of MPV with …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 1, 2020 · pp. 47–52 Read article
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A New Method to Optimize Initial Cluster Number and Then Apply K-Means Algorithm to Perform Image Segmentation
Abstract: Clustering is described as the task of merely grouping a set of data points, which in our case are represented by image pixels, with the application of one or more algorithms, into super-pixels. The k-means clustering algorithm is used for many day-to-day practical applications where the quality of the obtained clusters depends heavily on the initial selection of centroids. In literature, several methods have already been proposed for the improvement …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 18–24 Read article
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Visual Features based Paddy Leaf Disease Recognition, its Severity Detection and Remedy Prediction using K-means Clustering and AdaBoost
Abstract: AbstractAgriculture is a vital part of an economy. Paddy is one of the main food crops which play a major role in agricultural field. The gross national income of a country depends on paddy cultivation. But the production of paddy is damaged due to different types of paddy leaf diseases. Generally, farmers and agricultural experts identify diseases manually which is very ineffective and time consuming. So effective recognition, severity detection, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 41–52 Read article
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Contra Harmonic Mean Labeling for Some Tree and Corona Related Graphs
Abstract: AbstractA graph G (V,E) is called a Contra Harmonic mean graph with p vertices and q edges, if it is possible to label the vertices xÎV with distinct element f(x) from 0, 1,…,q in such a way that when each edge e = uv is labeled with f(e=uv) = 16f(u)2+f(v)2f(u)+f(v)"> or 16f(u)2+f(v)2f(u)+f(v)"> with distinct edge labels. The mapping f is called Contra Harmonic mean labeling of G. Keywords: Graph, Contra …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 2, 2019 · pp. 24–29 Read article
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Mean User Data Throughput Assessment From A Public UMTS/HSPA Network
Abstract: The demands of packet data communication and applications have resulted in several improvements over the original WCDMA Release 99. The downlink was improved in Release 5 with high speed packet data access (HSDPA), which provided high speed shared channel with fast link adaptation and scheduling, hybrid ARQ, and a short 2 ms transmission time interval (TTI). The corresponding uplink enhancements were done in Release 6 with high speed packet data …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 2, 2015 · pp. 1–6 Read article
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Estimation of Population Mean Using Ratio cum Product Imputation Techniques in Sample Survey
Abstract: In this paper, three generalized classes of ratio cum product compromised imputation techniques in single phase sampling scheme and its properties have been studied. Their mean square error (MSE) expressions and percentage relative efficiency (PRE) are compared with the sample mean, ratio, compromised and Ahmed method of imputation in case of missing data, and necessary conditions are derived. Further, theoretical results have been verified through empirical studies with the help …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 38–49 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 21–29 Read article
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Morphological Clustering of Diagnostic Images by Advanced Hard C Means
Abstract: In the proposed approach, morphology technique is used to find the area affected in the diagnostic image and extract the same using adaptive threshold technique. To get more accurate segmentation, Hars C means algorithm is used.Here in this project compare and analyze the qualitative and quantitative performance of different operators. Adaptive canny operator have better performance than sobel and Roberts operator. By using the proposed method can improve PSNR, Noise …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 25–33 Read article
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Some Imputation Methods in Two-Phase Sampling Scheme for Estimation of Population Mean
Abstract: In this paper, authors have proposed a class of dual to ratio estimator for estimating the finite population mean in presence of missing values in two-phase sampling design. Two different sampling designs in two-phase sampling are compared under imputed data. The bias and MSE of suggested estimator is derived in the form of population parameters using the concept of large sample approximation. Numerical studies are performed over two populations using …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 1–16 Read article
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Mean based Load Adaptation Algorithms (MLAA) for Energy Saving in FiWi Access Networks
Abstract: AbstractFiber Wireless (FiWi) network has been evolving as a promising broadband access network. It provides high data rate, flexibility and stability to the users. Exponential growth in broadband access networks has opened many research challenges. Energy conservation is one of them. In FiWi network, among all the components, optical network unit (ONU) consumes most of the power of the network. Hence, to keep ONU in low power state while ensuring …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 3, 2016 · pp. 23–32 Read article
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Fuzzy C-Means
Abstract: AbstractFuzzy c-means (FCM) incorporates spatial information into the membership function for clustering and uses it for obtaining the enhanced image. The main aim of the project is to develop a user friendly graphical user interface, manipulate and retrieve the data and run models for routing application in terrain trafficability. In the classification process, first clustering is done which involves grouping similar pixels (or forming clusters) in the test image based …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 10–16 Read article
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An Implementation of Maintaining Database and Generating Report using K-Means Algorithm
Abstract: This is a sponsored project from Electronics Testing and Development Center (ETDC), a government organization which works under Standardization Testing and Quality Certification (STQC), Government of India, and provides quality assurance services in the area of electronics and IT through countrywide network of laboratories and centers. Automation of testing and calibration of electronic instruments will assist ETDC in providing these services in a better way by generating report and maintaining …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 1, 2014 · pp. 19–23 Read article
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On b-Coloring Parameters of Some Classes of Graphs
Abstract: AbstractVertex coloring has always been a topic of interest. Motivated by the studies on -chromatic mean and variance of some standard graphs, in this paper, we obtain few results for -chromatic and -chromatic mean and variance of some cycle related graph classes. Here, Vertex coloring of a graph is taken to be the random experiment. Discrete random variable for this random experiment is the color of randomly chosen vertex of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 2, 2019 · pp. 41–48 Read article
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Mean Edge Estimation in Population of Planar Graph Using Stratified Sampling Procedure
Abstract: When stratified sampling is used then the population has the capacity to be grouped on thebasis of certain characteristics. Generally in survey sampling the respondents are individualpersons and they are physically unlinked. Consider a situation of graphical structure wherenodes and edges are the main constituents and if somebody wants to estimate the averagelength of edges between two nodes then it is a problem under usual sampling setup. Thispaper assumes the …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 3, 2019 · pp. 11–31 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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ColorCraft: Using Psychology to Create Meaningful Interior Designs
Abstract: This research delves into the crucial role of color psychology in interior design, which profoundly influences the atmosphere, mood, and perception of a space. By scrutinizing the connection between color and psychology, designers can effectively craft environments that evoke desired emotions and behaviors in occupants. The paper thoroughly examines existing literature on color psychology, elucidating how different colors provoke specific emotional and physiological reactions. It also explores the cultural and …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 20–27 Read article
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Improved Performance by Using k-means Clustering in Vehicular Ad Hoc Network
Abstract: AbstractVANETs are formed by applying the principles of MANETs, in which all node, i.e., vehicles can pursue traffic law with high speed. VANETs support two types of communication: vehicle - to- vehicle (V2V) and vehicle to-infrastructure (V2I). Vehicles communicate to RSU for the exchange of keys for the security purpose and RSU communicate to Authentication Server (AS) for the formation of secret keys. But in existing work they perform nonsymmetric …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 1, 2017 · pp. 17–24 Read article