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118 articles for “clustering approach”
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Various Approaches of Privacy Preserving in Data Mining: A Review
Abstract: AbstractData mining devices aspire to find valuable examples from vast measure of data. These patterns constitute information and are conveyed in selection trees, clusters or association rules. The information determined by the means of numerous data mining strategies can also comprise of private records approximately human beings or business. Preservation of privacy is a big thing of data mining and as a consequence has a look of attaining a few …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 1–8 Read article
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A Novel Approach to Reduce Image Retrieval Problem Using Gabor Transform, Wavelet Transform and Euclidean Distance Measure
Abstract: In the processing of image, pattern recognition and computer vision, the image retrieval is a most famous research area. Our paper presents a new method in CBIR through merging the low level feature i.e. texture, color and shape features. At first, we transform the color space from RGB model to HSV model, and then extract color histogram to form color feature vector. CBIR is the process where search of image …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 1, 2016 · pp. 10–15 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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Fibre Orientation and Void Distribution Analysis in Polymer Composite Structures Using Image Processing
Abstract: Fibre orientation and void distribution are critical microstructural features that govern the mechanical performance and reliability of polymer composite materials. Accurate and simultaneous characterisation of these features remains challenging due to their complex spatial interactions and dependence on processing conditions. In this work, an integrated image-processing framework is proposed for the quantitative analysis of fiber orientation and void distribution in polymer composite structures. High-resolution composite microstructure images are processed through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 925–933 Read article
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Routing Protocols in FANETs with Future Enhancements
Abstract: Flying Ad Hoc Networks (FANETs), which are swarms of Unmanned Aerial Vehicles (UAVs), are an emerging solution which revolutionized the area of mission-critical and infrastructure-less communication systems. These networks provide real-time data transfer for use cases such as disaster relief, battlefield observation, environmental monitoring, and 6G-based smart cities. However, the dynamic profile of FANETs, which is defined by high 3D mobility, limited energy resources, unstable wireless links, and constant topology …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 8–13 Read article
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Performance Analysis of Clustering Network Using Enhanced DEC Protocol for WSN
Abstract: Each node of a wireless sensor network (WSN) is connected to several other sensors. These sensor nodes can be deployed in dense for monitoring variety and wide range of applications. There are different types of protocols in WSN used to route the packets from source to destination. They are data-centric, hierarchical, and location-based and network flow and quality of service. To manage the energy consumption of WSN, one of the …
Published in Journal Of Network security · Vol. 4, Issue 1, 2016 · pp. 23–31 Read article
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Premenstrual Syndrome (PMS): Pathophysiology, Diagnosis and Treatment Approaches
Abstract: Premenstrual Syndrome (PMS) refers to physical and psychological symptoms that occur during the luteal phase of the menstrual cycle and are clinically severe, causing significant anguish and impairment in functioning. It is a cluster of symptoms that many women experience just before the onset of their menstrual cycle and after ovulation since estrogen and progesterone levels start to sharply decline if you are not pregnant. After a woman's menstruation begins, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 2, 2025 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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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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Comparison of Ultra Wide Band Indoor Multipath IEEE 802.15.3 Channel Model
Abstract: ABSTRACT A very large bandwidth of frequency (3.1–10.6 GHz) has been allocated to UWB systems. A single-band UWB signal propagates differently in the lower and upper bands of the spectrum due to the size of its bandwidth. The lower part of the signal can be obstructed more easily and the man-made interferences are not homogeneously distributed over the whole spectrum. The first experimental results obtained for a UWB channel show …
Published in Journal of Communication Engineering & Systems · Vol. 2, Issue 3, 2012 · pp. 20–25 Read article
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Quasi-Sobol-Based Optimization and Sigmoid Fuzzy Logic for Efficient Task Clustering in Decentralized Edge-Cloud Architectures
Abstract: Decentralized edge-cloud systems face a lot of issues in efficient task clustering, resource allocation, and real-time decision-making. Conventional methods mostly fail to work well under dynamic workloads and uncertain conditions. This study intends to optimize task clustering through quasi-Sobol-based optimization and Sigmoid Fuzzy Logic for resource allocation, enhancing decision-making accuracy and achieving efficiency in the system at the edge-cloud environment. A hybrid technique that has incorporated optimization via Quasi-Sobol sequences …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 9–18 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 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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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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PERFORMANCE ENHANCEMENT OF LEACH PROTOCOL FOR WIRELESS SENSOR NETWORKS
Abstract: Wireless sensor network has so many applications like in military and civil. Wireless sensor network is made by thousands of tiny and low cost sensor nodes. Sensor nodes work on the battery power, and battery power is limited; that is why our main aim is to reduce battery power. Leach is the one of the hierarchy routing protocols for the energy saving for wireless sensor network. In this paper, we …
Published in Journal Of Network security · Vol. 4, Issue 2, 2016 · pp. 42–47 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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A Statistical Approach Noise Tolerant Texture Classification
Abstract: A simple, efficient, yet robust multi resolution approach to texture classification binary rotation invariant and noise tolerant. The proposed approach is very fast to build and very compact while remaining robust to illumination variations, rotation changes, and noise. We have developed a novel and simple strategy to compute a local binary descriptor based on the conventional local binary pattern (LBP) approach, preserving the advantageous characteristics of uniform LBP. Points are …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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On Structure and Robustness of Airport Network of India
Abstract: This paper uses a complex network approach to study the structure and robustness of Airport Network of India (ANI). The ANI displays small-world (SW) network properties with an average path length of 2.262 and a clustering coefficient of 0.605, and it also exhibits disassortative mixing on degree of nodes, that means the high-degree nodes in the network tend to have connections with low-degree nodes. Being a disassortative network, ANI doesn’t …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 5, Issue 2, 2018 · pp. 26–33 Read article
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Structural Analyses of SoxY and SoxZ Proteins from Epsilonproteobacterium Sulfurimonas denitrificans: A Structural Bioinformatics Approach
Abstract: Abstract:Molecular level participation of epsilonproteobacteria for the global sulfur oxidation phenomena is an essential zone to be indulged with. Epsilonproteobacteria aids in the microbial sulfur metabolism both at and beneath the seafloor. For the recycling of the inorganic sulfur compounds, microbial redox reactions are one of the responsible and most important reactions to maintain the environmental sulfur balance. These reactions are carried out by phylogenetically diverse sets of microorganisms. The …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 5, Issue 1, 2015 · pp. 35–44 Read article
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Comparative Study of Change Detection Methods in High Resolution Images
Abstract: Natural phenomena including weathering, erosion, volcanic eruptions, and plate tectonics, as well as human activities like agriculture, deforestation, and urbanization, cause the Earth's surface to change continuously. In many different applications, such as environmental monitoring, disaster management, urban planning, agriculture and forestry, climate change studies, resource management, and infrastructure monitoring, it may be extremely beneficial to detect and track these changes. There are various algorithms and methods proposed by many …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 1–5 Read article