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13 articles for “FCM”
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Comparative Analysis of Proposed FCM Clustering Integrated Enhanced Firefly-Optimized Algorithm (En-FAOFCM) for MR Image Segmentation and Performance Evaluation
Abstract: Image segmentation has a significant responsibility in diagnosis and treatment of diseases. To scan patients and determine the severity of certain injuries in hospitals, magnetic resonance imaging (MRI) method is normally used. This paper emphasizes on comparative study of segmentation techniques for segmenting MRI brain images. In this regard, to group the pixels of images in the intensity space, unsupervised clustering techniques are used. Here enhanced firefly algorithm is used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 32–44 Read article
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Color Image Segmentation Using Optimized FCM Based on Modified Xie-Beni’s Validity Index
Abstract: AbstractColor image segmentation is an important task for image processing. There are many techniques used for segmentation; among them clustering is the most popular technique. The main issue of clustering process is to determine the number of clusters present in the image, which often is decided by the user or by cluster validity index. It is illogical to have correct or exact knowledge about the data points present in the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 4–12 Read article
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EZZY FUEL: An On-Road Fuel Delivery Application with Smart Reminder System
Abstract: Are you forgetting to fuel your vehicles on time? We bring you a solution by developing an “On-Road Fuel Demand Delivery Application with Smart Reminder System”. Such kind of fuel delivery is in practice in the US and UK and will attract many Indians too. This application when transformed into a business model will ease the lives of common people. We develop a customizable mobile on-road fuel demand delivery app …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 2, 2022 · pp. 34–60 Read article
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Identification of Thyroid Disease Severity using Fuzzy C-Means
Abstract: Clustering is a primary data description method in data mining which group’s most similar data. Data clustering is one of the important problems in the fields of data mining, bio-informatics and pattern recognition. Various algorithms are used to solve this problem. This paper presents the performance analysis of k-means clustering algorithm and compares it with fuzzy C- Means (FCM) algorithm on Thyroid disease data set. We also find the accuracy …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 1, 2014 · pp. 13–19 Read article
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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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Fabrication and Mechanical Characterization of Hybrid Natural Fiber Reinforced Composites using Ferromagnetic and Graphite Fillers
Abstract: The past few years have seen a lot of interest in the creation of hybrid natural fiber composites because of their lightweight properties, environmental friendliness and their potential use in structures. The hybrid composite laminates in the current study were produced by the hand lay-up process by blending the natural fibers with the functional filler materials. Three types of composite structures were created and these are Natural Composite Material (NCM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 498–511 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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Enhancing Campus Security Using IOT Sensors
Abstract: Security within university campuses continues to be of paramount importance to learning institutions, with conventional CCTV systems tending to be slow and prone to operator errors. The project discusses an IoT system with Flutter, ESP32-CAM, flame and noise sensors, and buzzer for an efficient real-time surveillance and timely emergency response. The system can detect abnormal conditions like loud noises and fire risks, sending alarms and enabling live video streaming over …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 26–31 Read article
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Study of Cascaded H Bridge Multilevel Inverter
Abstract: The inverters are now-a-days used broadly. Inverters are classified as two level inverters and multilevel inverters. There are too many limitations; conventional inverters at high power and high voltage applications. So, multilevel inverters become useful for high power and high voltage applications due to their increased number of levels at the output voltage. The harmonics are reduced by increasing the number of levels and output voltage has a tendency to-end-up …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 45–54 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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Enhance Brain Images using Adaptively Regularized KFCM Approaches on Image Segmentation: A Survey
Abstract: AbstractThe purpose of image segmentation is to apply logic and convert the explication of an image into some aspect that is easy for examine. This paper concerns on study of various image segmentation (IS) techniques and analysis. The merits and demerits are also described in this paper. Then there is discussion about various underpinning concerns in IS and find the gap between them that require to be connected so as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 30–38 Read article
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A Complete Study of Different Models for Software Fault Prediction
Abstract: Context- Software faults prediction improves software quality, software reliability, and software efficiency by early identification of faults. Numerous classification methods have been suggested for this task.Objective- The main objectives of the studies are (i) find the number of defects in AEEEM defect datasets, (ii) Challenges faced with Imbalanced Datasets.Method- We use AEEEM defect datasets for the prediction of faulty classes using four deferent machine learning technique. This particular paper present …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 1–10 Read article
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Review Paper on Fundamental Soft Set Hypothesis
Abstract: AbstractSoft set is a very the main level in practically every logical field. Soft set hypothesis is another scientific instrument for managing instabilities and is a set related with parameters and has been connected in a few headings. Since Molodtsov began the possibility of delicate sets, some exploration on delicate sets has been done in the writing. This hypothesis speaks to a promising procedure in blemished information examination which has …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 1, 2017 · pp. 25–34 Read article