Search Results - switching-based clustering algorithms~

Switching-based clustering algorithms for segmentation of low-level salt-and-pepper noise–corrupted images by Sulaiman, Siti Noraini, Mat Isa, Nor Ashidi, Yusoff, Intan Aidha, Ahmad, Fadzil

“…This paper presents new clustering-based segmentation algorithms. The proposed switching-based clustering algorithms can minimize salt-and-pepper noise during segmentation without degrading the images’ fine details…”
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Dynamic switching control of buck converters using unsupervised machine learning methods by Abegaz, Brook W

“… The system uses the voltage and current state variables of buck converters to evaluate four switching-based clustering algorithms, namely a Gaussian mixture model, a self-organising mapping (SOM…”
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Smart Control of Buck Converters using a Switching-based Clustering Algorithm by Abegaz, B.W., Cmiel, M.

“…). The method is performed using a switching-based clustering algorithm. The implementations of competing approaches such as a fuzzy-logic controller, proportional integral…”
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De-noising of noisy MRI brain image using the switching-based clustering algorithm by Sulaiman, Siti Noraini, Ishak, Siti Mastura Che, Isa, Iza Sazanita, Hamzah, Norhazimi

“… Filtering algorithm is the most common method used to remove noise. A segmentation technique is normally used to process the image in order to detect the abnormality that has been observed, specifically in the brain…”
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Community Detection with Self-Adapting Switching Based on Affinity by Wang, Ning-Ning, Peng, Xiao-Long, Jin, Zhen

“… Although there are various algorithms based on affinity or similarity, their drawbacks are obvious…”
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A novel adaptive energy switching algorithm for proton arc therapy based on the machine‐specific delivery characteristics by Qian, Yujia, Dao, Riao, Zhao, Lewei, Zhou, Shiyi, Fan, Qingkun, Janssens, Guillaume, Jong, Bas A., Both, Stefan, Korevaar, Erik, Hu, Ting, Peng, Gang, Yang, Zhiyong, Zhang, Sheng, Yin, FangFang, Liu, Manju, Yang, Kunyu, Quan, Hong, Ding, Xuanfeng, Liu, Gang

“…) based on the machine‐specific delivery characteristics of proton therapy systems. Methods The SPArc‐AES optimization algorithm is based on the polynomial increasing feature of energy layer ascending switching…”
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Topology-Aware Virtual Machine Placement in Optical Switching Based Small-World Datacenter Networks by Chang, Tong, Wang, Cen, Tang, Yinan, Guo, Hongxiang, Wu, Jian

“…This paper proposed a heuristic topology-aware virtual machine placement algorithm for optical small-world datacenter networks…”
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Research on Switching Structure of High-Performance Higher-Order Router Based on Grey Clustering Algorithm by Yang, Xinghua, Liu, Mingbo, Mao, Kunjiang, Wu, Wei

“… based on grey clustering algorithm is proposed. Simulation results…”
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Dynamic reactive power optimization of distribution network with distributed generation based on fuzzy time clustering by Ji, Yuqi, Chen, Xuehan, Wang, Tao, He, Ping, Jin, Nan, Li, Congshan, Tao, Yukun

“… In the method, fuzzy time clustering algorithm is used to cluster the static optimal switching sequence of OLTC and capacitor banks…”
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Improving the quality of real-time data transmission service in VANETS by balancing the load on road side units by Saemi, Behzad, Halataei, Fatemeh, Ahmadi, Rouhollah, Ashkaran, Ali, Mirkamali, SeyedSaeid, Hosseinabadi, Ali Asghar Rahmani

“… The key contribution lies in the development of a multicast routing algorithm utilizing a geo-targeting protocol, facilitating simultaneous delivery of source data packets to multiple destinations…”
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Non-dominated Sorting Evolution Strategy-based K-means clustering algorithm for accent classification by Ullah, S., Karray, F., Jin-Myung Won

“…)-based K-means clustering algorithm. In a distance metric learning approach, data points are transformed to a new space where the Euclidean distances between similar and dissimilar points are at their minimum and maximum, respectively…”
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On clustering of non-stationary meteorological time series by Horenko, Illia

“… process switching between them. Proposed numerical clustering algorithm is based on application of the finite element method ( FEM…”
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Parallel Density‐Based Spatial Clustering with Dual‐Functional Memristive Crossbar Array by Cheong, Sunwoo, Shin, Dong Hoon, Lee, Soo Hyung, Jang, Yoon Ho, Park, Taegyun, Han, Janguk, Shim, Sung Keun, Kim, Yeong Rok, Han, Joon‐Kyu, Ghenzi, Néstor, Hwang, Cheol Seong

“…‐based spatial clustering of applications with noise (DBSCAN) algorithm in a low‐power, parallel‐computing memristor crossbar structure…”
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Efficient hardware trojan diagnosis in SRAM based on FPGA processors using inject detect masking algorithm for multimedia signal Processors by Swamynathan, S.M., Bhanumathi, V.

“… To mitigate these issues, an IDM (Inject Detect Masking) algorithm is proposed, and it is…”
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Bayesian estimate of system availability for consecutive k-out-of-n:F system by Karthikeyan, D., P., Arumbu V., Surendhirababu, K., Selvakumar, K., Divya, P., Suhasini, P., Palanisamy, R.

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Distributed Consensus-Based K-Means Algorithm in Switching Multi-Agent Networks by Lin, Peng, Wang, Yinghui, Qi, Hongsheng, Hong, Yiguang

“…This paper discusses a distributed design for clustering based on the K -means algorithm in a switching multi-agent network, for the case when data are decentralized stored and unavailable to all agents…”
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Handbook of Mixture Analysis by Frühwirth-Schnatter, Sylvia, Celeux, Gilles, Robert, Christian P.

“… It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications…”
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Centralized base station sleep algorithm based on non-neighbor relation clustering in dense heterogeneous networks by Cao, Yikan, Xie, Zhibin, Wang, Yajun, Xia, Benqi

“…A centralized base station sleeping algorithm based on non-neighbor relation clustering was proposed for dense heterogeneous networks…”
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Centralized base station sleep algorithm based on non-neighbor relation clustering in dense heterogeneous networks by Yikan CAO, Zhibin XIE, Yajun WANG, Benqi XIA

“…A centralized base station sleeping algorithm based on non-neighbor relation clustering was proposed for dense heterogeneous…”
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Non-intrusive electrical appliance load identification method based on CNN and K-means clustering by Zheng LI, Ze WANG, Wei FENG, Guoqing AN, Qiang WANG, He CHEN

“… is low,a non-invasive household appliance identification method based on CNN and K-means clustering…”
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