Výsledky vyhledávání - "adaptive clustering algorithms"

Novel Adaptive Clustering Algorithms Based on a Probabilistic Similarity Measure Over Atanassov Intuitionistic Fuzzy Set Autor Lohani, Q. M. Danish, Solanki, Rinki, Muhuri, Pranab K.

“…This paper presents a novel probabilistic similarity measure (PSM) for Atanassov intuitionistic fuzzy sets. It then exploits PSM to propose an adaptive…”
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Research on self-adaptive clustering algorithms for large data sparse networks based on information entropy Autor Ma, Tingting, Zhang, Guanhong

“…With the advent of the era of artificial intelligence and information technology, a large number of data and information pour into all walks of life. These…”
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Cluster validity index for adaptive clustering algorithms Autor Cui, Hongyan, Xie, Mingzhi, Cai, Yunlong, Huang, Xu, Liu, Yunjie

“…? Adaptive clustering algorithms can meet this challenge. Moreover, how to determinate the number of clusters when not only fuzzy cluster but also hard cluster are used…”
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Follicle Detection in Ultrasound Images using Adaptive Clustering Algorithms and Empirical Mode Decomposition Autor Harikiran, Dr.J., Rao, Dr.B.Srinivasa, Vamsidhar, Dr.E., Saichandana, Dr.B.

“…Ultrasound Imaging is one of the techniques used to study inside human body with images generated using high frequency sounds waves. The applications of…”
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( k , r )-Dominating set-based, weighted and adaptive clustering algorithms for mobile ad hoc networks Autor Anitha, V.S., Sebastian, M.P.

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Takagi-Sugeno Fuzzy Modeling and Control of Nonlinear System with Adaptive Clustering Algorithms Autor Zhao, Kai, Li, Shurong, Kang, Zhongjian

“…In order to control a nonlinear system, a model needs to be established to predict its behavior. At present, there are many methods for nonlinear system…”
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Analysis of adaptive clustering algorithms in wireless sensor networks Autor Dahnil, D P, Singh, Y P, Chin Kuan Ho

“…The paper presents the criteria that affect the performance of network lifetime in Wireless Sensor Networks. In sensor networks the nodes can be organized into…”
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Privacy-Preserving Mechanisms in Resource-Constrained IoT-WSN Systems for Healthcare Applications Autor Tuteja, Gaurav, Nasra, Parul, Chythanya, Kanegonda Ravi, MuhamedAle, Hasssan

“…The exponential growth of IoT-enabled healthcare systems has revolutionized patient monitoring and diagnosis through real-time data collection. However, the…”
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Hybrid Machine Learning Models for AI-Driven Anomaly Detection in WSN-IoT Networks: Challenges, Techniques, and Applications Autor Tuteja, Gaurav, Singh, Anmol Rattan, Vijay Kumar, Bura

“…To allow monitoring and controlling at run time across many domains including healthcare, agriculture and various industrial applications Wireless Sensor…”
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Optimizing Energy-Efficient Clustering Algorithms for Prolonged Lifetime in WSN-IoT Deployments Autor Sunil, G, Tuteja, Gaurav, Nasra, Parul, Abbas, Haayder M.

“…They noticed that energy efficiency is still a difficult problem in wireless WSNs that act in IoT conditions. The importance of clustering algorithms has…”
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Blockchain-Driven Secure Frameworks for Data Integrity in IoT-Enabled Wireless Sensor Networks Autor Lande, Jayapal, Tuteja, Gaurav, RiadHwsein, Ramee, Nasra, Parul

“…Real-time data acquisition and its analysis has emerged as a powerful paradigm shift across numerous fields due to the ever-increasing popularity of IoT…”
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Predicting the Number of Clusters (K) Without Distance and Statistical Analysis Autor Rabari, Rohhan, Lursinsap, Chidchanok

“…Clustering is a fundamental task in unsupervised learning, essential for data analysis and pattern recognition. A significant limitation of traditional…”
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A comparison of modified k-means (MKM) and NN based real time adaptive clustering algorithms for articulatory space codebook formation Autor Ananthakrishnan, K.S.

“…The paper proposes the use of a neural network based real time adaptive clustering algorithm for the formation of a codebook of limited set of acoustical representation of finite set of vocal tract…”
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An Adaptive Clustering Algorithm Based on Local-Density Peaks for Imbalanced Data Without Parameters Autor Tong, Wuning, Wang, Yuping, Liu, Delong

“…Imbalanced data clustering is a challenging problem in machine learning. The main difficulty is caused by the imbalance in both cluster size and data density…”
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Adaptive clustering algorithm based on kNN and density Autor Shi, Bing, Han, Lixin, Yan, Hong

“…Although many clustering algorithms have been proposed, they all have various limitations. Existing clustering algorithms usually require the user to set the…”
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SGAC: A stable-graph-based adaptive clustering algorithm with fewer parameters Autor Xu, Tengfei, Wang, Guangchao, Qi, Hang, Huang, Xiao

“… Therefore, a stable-graph-based adaptive clustering algorithm (SGAC) is proposed to achieve effective multi-prototype clustering on homogeneous and heterogeneous data with arbitrary shapes…”
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An adaptive clustering algorithm for dynamic heterogeneous wireless sensor networks Autor Zhang, Jingxia, Chen, Junjie

“…In the heterogeneous wireless sensor networks, most algorithms assume that nodes are heterogeneous in terms of their initial energy (we refer to as static…”
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Online adaptive clustering algorithm for load profiling Autor Le Ray, G., Pinson, P.

“… The online adaptive clustering algorithm is based on an online K-means approach using a dynamic time…”
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Adaptive Clustering Algorithm for IIoT Based Mobile Opportunistic Networks Autor Zhao, Yan, Akter, Farzana

“… In order to meet this research gap, an adaptive clustering algorithm for mobile opportunistic networks is proposed within military bases that uses a heuristic algorithm (GA…”
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iMass: an approximate adaptive clustering algorithm for dynamic data using probability based dissimilarity Autor BHATTACHARJEE, Panthadeep, MITRA, Pinaki

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