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128 articles for “clustering algorithms”
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Numerical Simulation and Design of Efficient Brain Tumor Segmentation with Hybrid Fuzzy K-Means Clustering Technique
Abstract: The goal of this study is to detect brain cancers from MRI images using a Matlab GUI interface. Using the GUI, this application may employ numerous combinations of segmentation, filters, and other image processing methods to produce the best results. We begin by applying the Prewitt horizontal edge-emphasizing filter on the image. “Watershed pixels” are the next step in detecting tumours. The most essential aspect of this project is that …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 8–17 Read article
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Big Data, Big Impact: The Role of Analytics in Modern Business
Abstract: In modern business, “Big Data” signifies the vast amount of data collected from various sources, and “Big Data Analytics” refers to the process of analyzing this data to extract valuable insights, enabling companies to make data-driven decisions, optimize operations, better understand customers, and ultimately gain a competitive edge by identifying trends, patterns, and opportunities that might otherwise be missed. This study analyzes large datasets, by which businesses can gain deeper …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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CHMOD LEACH: INNOVATIVE TECHNIQUE FOR CLUSTER HEAD SELECTION
Abstract: A wireless sensor network is the network that consists of multiple sensor nodes which helps to monitoring which makes it be used in vast number of areas. Sensor networks are used for large number of time and periodic updating is required. So main problem is to handle the collections and storing of huge amounts of data. The LEACH (Low Energy Adaptive Clustering Hierarchy) protocol provides a solution to this problem …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 20–26 Read article
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Implementing LEACH
Abstract: A wireless sensor network is the network that consists of multiple sensor nodes which helps in monitoring which makes it to be used in vast number of areas. Sensor networks are used where large number of times and periodic updating is required. So, the main problem is to handle the collection and storing of huge amounts of data. The LEACH (Low Energy Adaptive Clustering Hierarchy) protocol provides a solution to …
Published in Journal of Open Source Developments · Vol. 5, Issue 1, 2018 · pp. 12–19 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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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Automatic Text Summarization – A Review
Abstract: ABSTRACT We present Encoder/Decoder a unique methodology for summarization of text documents. The summarization of text is to be done in two forms one is abstractive and the other one is extractive. Summarization of text is a main job of natural language processing. With the help of new idea we make a unique amalgam model of abstractive-extractive to combine BERT(Bidirectional Encoder Representations from Transformers). Firstly we transform the summaries which …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 22–27 Read article
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Improved Performance Using Cluster Based Routing Methods for Wireless Sensor Network
Abstract: Clustering technique in (WSN) wireless sensor networks is skilled planning in order to efficiently handle the sensor network (nexus). LEACH, is in general, used as clustering protocol contained by CH, and also their source nodes which are attached, are irregularly transformed so as to permit effective balance. However, involvement of LEACH so that all source nodes promote their knowledgeable information directly to cluster heads which are connected, influence the energy …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 4, Issue 3, 2017 · pp. 5–11 Read article
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Comparative Analysis of algorithms for Credit Card Fraud Detection using Data Mining: A Review
Abstract: AbstractData mining is a technique to extract new useful information from existing dataset. It is used to predict various patterns from present dataset. It has a great application in the field of bank and finance. In today’s world, everything is being online, means online shopping, online banking and online payment. The problem faced by them is credit card fraud. In this, we use the data mining techniques such as classification, …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 2, 2019 · pp. 12–17 Read article
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Practicing Economy of Nature through Traditional Rice Variety Conservation: A Case Study from West Bengal, India
Abstract: AbstractTraditional rice varieties (TRVs), continue to be cultivated defying the allurement of high-profits from cultivating high yielding varieties. The reasons why TRVs are still cultivated, withstanding extreme pressures leading to disappearance of many TRVs are interesting, especially for their associated non-market values. This study documents 50 TRVs being cultivated by farmers (n= 488) in three districts of West-Bengal, followed by a criterion-based analysis using UPGMA algorithm applied with Bray-Curtis similarity-index …
Published in Research & Reviews : Journal of Botany · Vol. 6, Issue 3, 2017 · pp. 20–35 Read article
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Palm Recognition Using Hybrid Algorithm
Abstract: Biometric system is becoming more popular and increasingly important, since they provide more reliable and accurate means of identification. Now a days biometrics system is used almost everywhere for identification. In Japan, banks have used the palm vein authentication technology for customer identification since July 2004. In addition, Fujitsu has integrated the technology into the access control of electronic door lock systems. Their system has a false acceptance rate of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 12–19 Read article
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Classification of Mammogram Images by Machine Learning Algorithm Attacker Nodes
Abstract: Abstract— Breast cancer is basic in ladies' these days. In beginning when cells in the breast start to develop out of control. These cells generally structure a tumor that will frequently be seen on a x-beam or felt as a lump. Cells in almost any piece of the body can move toward becoming malignant growth and can spread to different regions of the body. There are very nearly 6 phases …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 1–10 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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IoT-enhanced Extensible Messaging Presence Protocol: A Multiple Multicast Architecture for Diverse Applications
Abstract: Extensible Messaging Presence Protocol (XMPP) is a real-time information transmission specification protocol based on IP technology and XML supporting publish/subscribe messaging systems. Publishers use multicast to send data simultaneously to multiple subscribers. IoT devices benefit enormously by using XMPP Extension Protocols (XEPs) available in the literature that enables using XMPP for multicast. Publishers are considering Multiple Multicast (MMC) to address subscriber overlap while sending messages to multiple subscribers simultaneously. This …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 1–13 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
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Optimal Floor Design of Production Workshop for Manufacturing Unit Using Genetic Algorithm for Efficient Performance
Abstract: Abstract: In today’s competitive market, producing industries need to satisfy additional numerous queries from the market, like widening the merchandise ranges, increasing quality and precise the delivery time. Manufacturing sector of production industries spends a huge amount of money and wealth on design and reallocation of available facilities. For an organization to have an effective and efficient manufacturing unit, it is important that optimal usage and design of facility layout …
Published in Journal of Instrumentation Technology & Innovations · Vol. 9, Issue 1, 2019 · pp. 19–28 Read article
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Perceptual Features Based Continuous Speech Recognition in Additive Noise Environment Using Various Modelling Techniques
Abstract: The main objective of this paper is to discuss the effectiveness of Mel frequency perceptual features and the noise reduction technique in evaluating the performance of multi speaker independent continuous speech recognition system in additive noise environment by using various modelling techniques. The proposed perceptual features are captured and trained using clustering technique, GMM, continuous density HMM and back propagation neural networks. Speech recognition system is evaluated on clean and …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 67–81 Read article
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An Energy efficient routing algorithm for heterogeneous Wireless Sensor Network
Abstract: Wireless sensing network is con- sisting of sensors and sink that is self- organized and infrastructureless network. En- ergy plays a very important role for the life- time, coverage and connectivity of network. In this paper, proposed protocol has two level heterogeneous wireless sensor network inwhich Residual Energy and distance of node from base station in which every sensing ele- ment node is taking into account to maximize the life …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 1, 2021 · pp. 1–9 Read article
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An Energy efficient routing algorithm for heterogeneous Wireless Sensor Network
Abstract: Wireless sensing network is con- sisting of sensors and sink that is self- organized and infrastructure less network. En- ergy plays a very important role for the life- time, coverage and connectivity of network. In this paper, proposed protocol has two level heterogeneous wireless sensor network in which Residual Energy and distance of node from base station in which every sensing ele- ment node is taking into account to maximize …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 4, 2021 · pp. 1–9 Read article
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Application of Machine Learning Techniques for Tongue Diagnosis in Ayurveda
Abstract: The analysis of tongue image is a very crucial approach in order to evaluate human health in Ayurveda medication. As a result of the modification in tongue color might counsel physical or mental disorders. Many tongue color quantification strategies for tongue diagnosis are published by many researchers in Chinese medication. However, reliable tongue color analysis algorithms are limited for Ayurveda medicine. The main objective of this paper is to apply …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 1, 2020 · pp. 8–14 Read article