Search Results - last adaptive clustering algorithm

Improving wireless sensor network lifespan with optimized clustering probabilities, improved residual energy LEACH and energy efficient LEACH for corner-positioned base stations by Abose, Tadele A., Tekulapally, Venumadhav, Megersa, Ketema T., Kejela, Diriba C., Daka, Samuel T., Jember, Kehali A.

“… Existing algorithms, such as low energy adaptive clustering hierarchy (LEACH), residual energy LEACH (RES-EL…”
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Adaptive Density Subgraph Clustering by Jia, Hongjie, Wu, Yuhao, Mao, Qirong, Li, Yang, Song, Heping

“… To address these challenges, we propose an adaptive density subgraph clustering algorithm…”
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Improved energy efficiency using adaptive ant colony distributed intelligent based clustering in wireless sensor networks by Sharada, K. A., Mahesh, T. R., chandrasekaran, Saravanan, Shashikumar, R., Kumar, V. Vinoth, Annand, Jonnakuti Rajkumar

“… The adaptive ant colony distributed intelligent based clustering algorithm (AACDIC) is a key component of the cognitive radio (CR…”
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A Clustering Algorithm Based on Communication Overhead and Link Stability for Cloud-assisted Mobile Adhoc Networks by Xiao, Kun, Xu, Siya, Guo, Shaoyong, Qiu, Xuesong, Yu, Peng, Chen, Xingyu, Deng, Wei, Guo, Kunya

“… Then, in the maintenance stage, we present a network clustering adaptive adjustment algorithm based on link stability…”
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Adaptive MCFL: An adaptive multi-clustering algorithm using fuzzy logic in wireless sensor network by Mirzaie, Mostafa, Mazinani, Sayyed Majid

“…In the past, numerous algorithms were tasked with clustering nodes in wireless sensors networks…”
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An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection by Chen, Huangyue, Kong, Lingchen, Qu, Wentao, Xiu, Xianchao

“…The regularized clustering (RC) framework based on the fusion penalty has attracted extensive attention in the last decade because it does not require the prior knowledge of the number of clusters…”
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Adaptive Neuro‐Fuzzy Inference System‐Particle swarm optimization‐based clustering approach and hybrid Moth‐flame cuttlefish optimization algorithm for efficient routing in wireless sensor network by Pattnaik, Satyajit, Sahu, Pradip Kumar

“… In this paper, Adaptive Neuro‐Fuzzy Inference System‐Particle swarm optimization based clustering approach and hybrid Moth…”
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Energy-aware evolutionary routing protocol for dynamic clustering of wireless sensor networks by Khalil, Enan A., Attea, Bara’a A.

“…) are to optimize energy consumption and prolong network lifetime. Cluster-based routing techniques, such as the well-known low-energy adaptive clustering hierarchy (LEACH…”
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BM3D image denoising algorithm based on an adaptive filtering by Yahya, Ali Abdullah, Tan, Jieqing, Su, Benyue, Hu, Min, Wang, Yibin, Liu, Kui, Hadi, Ali Naser

“…Block-matching and 3D filtering algorithm (BM3D) is the current state-of-the-art for image denoising…”
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Cyber-Attack Detection Using Principal Component Analysis and Noisy Clustering Algorithms: A Collaborative Machine Learning-Based Framework by Parizad, Ali, Hatziadoniu, Constantine J.

“… Based on the proposed architecture, three different machine learning-based methods, i.e., visualization, classification, and clustering, are employed and compared to find the best one in the FDIA detection process…”
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Nature-inspired adaptive decision support system for secured clustering in cyber networks by Qureshi, Shahana Gajala, Shandilya, Shishir Kumar

“…), and Man in the Middle (MitM), etc. limits the potential of such networks. Several security methods were introduced in last decade to protect the WSN from various cyber threats…”
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Robust Wireless Sensor Network Against Strong Electromagnetic Pulse by Hao, Cui, Jiang, Changjian

“…This paper studied the weak parts of the wireless sensor networks under strong electromagnetic pulse, and protected the whole network with hardware protection…”
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An effective color image segmentation approach using neutrosophic adaptive mean shift clustering by Guo, Yanhui, Şengür, Abdulkadir, Akbulut, Yaman, Shipley, Abriel

“… This paper proposes an efficient segmentation algorithm for color images based on neutrosophic adaptive mean shift (NAMS) clustering…”
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MOEA/D with the online agglomerative clustering based self-adaptive mating restriction strategy by Li, Xin, Zhang, Hu, Song, Shenmin

“… Accordingly, this paper proposes a MOEA/D with the online agglomerative clustering based self-adaptive mating restriction strategy (MOEA/D-OMR…”
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Joint patch clustering-based adaptive dictionary and sparse representation for multi-modality image fusion by Wang, Chang, Wu, Yang, Yu, Yi, Zhao, Jun Qiang

“… Third, we used the joint patch clustering algorithm to reconstruct an over-complete adaptive learning dictionary, designed a hybrid fusion rule depending on the similarity of multi-norm…”
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Learning simultaneous adaptive clustering and classification via MOEA by Luo, Juanjuan, Jiao, Licheng, Shang, Ronghua, Liu, Fang

“… The traditional hybrid clustering and classification algorithms handle them in a sequential way rather than a simultaneous way…”
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Solving Last-Mile Logistics Problem in Spatiotemporal Crowdsourcing via Role Awareness With Adaptive Clustering by Huang, Baoying, Zhu, Haibin, Liu, Dongning, Wu, Naiqi, Qiao, Yan, Jiang, Qian

“… This article formalizes the LMAP for fresh produce via the group role assignment framework and proposes a role awareness method by using adaptive clustering in spatiotemporal crowdsourcing based on task granularity…”
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Clustering algorithm for mixed datasets using density peaks and Self-Organizing Generative Adversarial Networks by Balaji, K., Lavanya, K., Mary, A. Geetha

“…) for clustering mixed datasets. Many clustering methods depend on the assumption that datasets contain either categorical or numerical attributes…”
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Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction by Tabbussum, Ruhhee, Dar, Abdul Qayoom

“…), fuzzy logic, and adaptive neuro-fuzzy inference system (ANFIS) algorithms are used to develop nine different flood prediction models using all the available training algorithms…”
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A Self-Adaptive Fuzzy c-Means Algorithm for Determining the Optimal Number of Clusters by Yi, Jing, Wang, Zhihao, Liu, Peiyu, Ren, Min

“…For the shortcoming of fuzzy c-means algorithm (FCM) needing to know the number of clusters in advance, this paper proposed a new self-adaptive method to determine the optimal number of clusters…”
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