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128 articles for “clustering algorithms”
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Multi-satellite Responses to Describe Earth Sensing
Abstract: AbstractRemote earth sensing (RES) achievements have started from weather forecast. Continual explore gradually merged to widen information broad cast for any subject. Therefore, satellite image processing plays vital role for research developments in geographical information systems, astronomy, and agriculture monitoring and disaster management. Military and public both regularly utilize satellite technologies like remote sensing, telecommunications, and direct television, broadcasting. Cluster and grid subjective to involve terabytes rated data inform after …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 3, 2019 · pp. 13–18 Read article
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Genetic Algorithm Based Optimized QoS Routing in MANET
Abstract: Ad hoc wireless network may be a dynamic multi-hop network, which is established by an assembly of mobile nodes on a shared wireless channel. Mobile ad hoc network (MANET) is a collection of independent nodes that communicate with each other by forming a multi hop radio network. The design and analysis of routing protocols is a crucial issue in dynamic networks such as packet radio and ad-hoc wireless networks. While …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 1, 2022 · pp. 6–14 Read article
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Resolving Travelling Salesman Problem Using Modified Clustering Technique
Abstract: AbstractTravelling Salesman Problem (TSP) is a quotidian stumbling block in the field of Computer Science and operation research designed to seek out the shortest pathway amid the given targets viz. cities where each target is considered only once. Many solutions to this setback like Ant Colony Optimization. Brute-Force approach, Genetic Algorithm, Fruit Fly Optimization etc. are available in literature. The main objective of these solutions is to minimize the time …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 1, 2019 · pp. 22–31 Read article
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Clustering based Model to Provide Defense against DDoS attacks in MANETs
Abstract: AbstractSecurity of MANETs is the part of extensive issue of research in past years. MANET is liable to DDoS attacks because of its no fixed infrastructure, changing topology, open medium, cooperative and trust-based algorithms and absence of a well-defined line of defense. DDoS attack is a synchronized attack created by attackers to overflow the target network with big quantity of information in the form of packets such that the resources …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 1, 2019 · pp. 7–13 Read article
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Study Of Uber-Related Data Using Machine Learning
Abstract: This paper describes the operation of the machine learning algorithm used in the Uber database, which contains data generated by the Uber Movement for a few locations in Hyderabad and the big apple City. Uber is known as a peer-to-peer program. This program connects you to the nearest drivers available to take you to your destination. This database includes Uber capture data with information such as time, ride date additional …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 1–6 Read article
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Scheduling in Hadoop Cluster: A Review
Abstract: AbstractData generated by almost everything is electronically stored in the units of exabyte or zetabyte known as big data. For big data processing, Hadoop is considered as best choice. There are lots of challenges like storage, processing and resource allocation on the basis of job deadlines, QoS, budget, network bandwidth and data transmission. In order to solve these problems, various scheduling algorithms have been developed. These scheduling algorithms are classified …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 26–31 Read article
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Survey of Intelligent Surveillance System using Image Processing and Deep Learning Techniques
Abstract: Abstract Closed-circuit television systems (CCTV) are becoming more and more pop- ular and are being deployed in many offices, housing estates and most public spaces. Thus, the job of CCTV operators is becoming very challenging as the footage contains a lot of information and gradually becomes cumbersome. Rapid advancement in the field of computer vision could be observed as an important trend in video surveillance and lead to substantial effi- …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 3, 2020 · pp. 34–64 Read article
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Bayesian Image Segmentation using HMRF Algorithm
Abstract: AbstractImage segmentation is a process of dividing the image in to some distinct regions. These regions shave specially coherent in nature and have similar attributes. This technique is widely used for image analyses and to interpret the desired feature. In this present paper, we will study about the hidden Markov random fields (HMRF) and find its expectation maximization algorithm. The main idea behind developing HMRF is to adjoin the “data …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 1–8 Read article
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Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species
Abstract: The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity inherent in ocean ecosystems. Traditional phylogenetic methods are accurate but become more expensive when they are processing with thousands of marine taxa parallelly. This article shows a critical analysis of parallel greedy algorithms as an adaptable solution for large-scale marine phylogenetics. It examines the main principles of greedy …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 33–45 Read article
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Parallel Genetic Algorithm for Fuel Bundle Burnup Optimization of Pressurized Heavy Water Reactor
Abstract: In this study, parallel genetic algorithm (GA) was applied to solve an optimization problem of nuclear fuel management pertaining to a 220 MWe pressurized heavy water reactor (PHWR). The study aims at finding appropriate values of reference discharge burnups of two zones of the reactor core which gives maximum fuel economy, while satisfying operational and safety-related constraints. This is a multiobjective optimization problem with four objectives and four constraints. Penalty …
Published in Journal of Nuclear Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 11–24 Read article
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Performance Analysis of AODV, DSR and CGSR Routing Protocol in MANET based on Energy Consumption
Abstract: Mobile Ad-hoc networks (MANET) have gained lots of attention in researches in recentyears, especially in routing protocols due to their dynamic nature. There are number ofrouting protocols in MANET networks and performance of these routing protocolshave been evaluated focusing on metrics such as delay, packet delivery, routingoverhead, throughput. However, not much work has been done to evaluate energyaspect of these routing protocols. Design new energy efficient routing algorithms arebased on …
Published in Journal Of Network security · Vol. 2, Issue 1, 2014 · pp. 21–27 Read article
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Performance Evaluation of DSR, AODV, CGSR based on Average Energy Consumption: A Review
Abstract: AbstractMobile Ad-hoc networks (MANET) have gained lots of attention in researches in recent years, especially in routing protocols due to their dynamic nature. There are number of routing protocols in MANET networks and performance of these routing protocols have been evaluated focusing on metrics such as delay, packet delivery, routing overhead, throughput. However, not much work has been done to evaluate energy aspect of these routing protocols. Design new energy …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 3, 2013 · pp. 21–27 Read article
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Study Analysis of Geolocational Data with Statistics: A Review
Abstract: The biggest challenge while traveling is looking for a place to stay, and considering doing a complete, thorough analysis of real-world data. The objective of the present study is to refer, clean, fetch, analyze and run K Means clustering on geolocational data to suggest lodgings to the travelers and immigrants of a city; maximizing the likelihood of the distances between the target and the landmarks, given the observed delays, yields …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 3, 2022 · pp. 25–30 Read article
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Fuzzy Minimum Spanning Tree Problem: A Greedy Algorithm using Quasi-Gaussian Fuzzy Weights
Abstract: The classical Minimum Spanning Tree Problem (MST) deals with determining the spanning tree in a given undirected graph G(V, E) for which the sum of the weights assigned to the edges is minimum. The weights assigned to the edges are real numbers representing parameters like demand, cost, link capacity and distance which are not naturally precise and the uncertainty involved can be modelled using fuzzy numbers. There are several types …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 15–22 Read article
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Survey of Techniques for Clustering and Classification of ECG using WEKA
Abstract: ECG analysis can be done for automatic detection of abnormality in cardiac activity. This can be helpful in generating alert for saving a precious life. Various techniques have been proposed in literature for feature detection and classification such as; fuzzy logic methods, artificial neural networks (ANN), and support vector machines (SVM), wavelet transform, Hilbert transform, etc. Recently, numerous researches and techniques have been developed for analyzing the ECG signal on …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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Segmentation Methods Applied on MR Medical Application
Abstract: AbstractImage segmentation techniques as applied in MRI of human brain are developing by leaps and bounds. The human brain is the most imaging design of the nature. Cancer and neurological problems are resolved using MR of the brain. The automatic diagnostic system starts with medical imaging, segmentation and analysis of the findings and then the final decisions which are further used to treat the patient. In the real world certain …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 30–38 Read article
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Numerical Simulation of Energy Efficient Routing Protocol in Wireless Sensor Network Using Optimized LEACH
Abstract: Wireless sensor systems consist of, for instance, independent sensors used to measure temperature, humidity, and physical and environmental conditions spatially distributed. These sensors transmit data to a dish. Due to the huge ability of sensor network to link the physical world to the vertical world, the popularity of the wireless sensor networks (WSNs) has enormously increased. Becoming a repetitive job since those devices rely on battery power and can be …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 48–56 Read article
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Detection of Traffic Sign Using CNN
Abstract: For past more than half of the decade, the detection and recognition of the traffic signs are an active research area; especially in the field of automation of driving that is critical for driverless driving, as there is drastic increase in road accidents due to ignorance of traffic signs and rules. This is frequently used for recognizing permanent or temporary various road signs which are displayed on the side of …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 1, 2022 · pp. 14–23 Read article
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Survey on Intrusion Detection Using Data Mining Methods
Abstract: The present emerging information growth has made numerous challenges in the data mining. Data mining is the procedure of removing valid, before known, and comprehensive data sets for the future decision making. With the better technology through WWW, the streaming information comes into the picture with its challenges. The data, which alters with time and updates its value, is known as streaming information. As most of the data is streaming …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 2, 2016 · pp. 33–43 Read article
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Various Routing Algorithms in Wireless Sensor Networks for Energy Minimization
Abstract: The past few years have witnessed increased interest in the potential use of wireless sensornetworks (WSNs) in a wide range of applications and it has become a hot research area. Lot ofresearchers are showing interest in WSN for disaster management where prediction ofupcoming disaster is required well in advance before it happens and in critical areas wherehuman presence is not possible directly; wired communication dose not suit well for suchapplications. …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 3, 2020 · pp. 26–37 Read article