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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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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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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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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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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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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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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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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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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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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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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An Adaptive Differential Evolution Algorithm Based on Data Preprocessing Method and a New Mutation Strategy to Solve Dynamic Economic Dispatch Considering Generator Constraints by Zhao, Ruxin, Wang, Wei, Zhang, Tingting, Liu, Chang, Fu, Lixiang, Kang, Jiajie, Zhang, Hongtan, Shi, Yang, Jiang, Chao

“… algorithm based on the data processing method and a new mutation strategy (ADEDPMS). In this paper, the data preprocessing method is implemented by k -means clustering…”
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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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Cluster-chain mobile agent routing algorithm for efficient data aggregation in wireless sensor network by Sasirekha, Selvakumar, Swamynathan, Sankaranarayanan

“… Many applications such as habitat monitoring, military surveillance and forest fire detection expect the sensor nodes to last for a long time because they operate human unattended…”
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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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HDLCA: hunger driven lion clustering algorithm, a novel energy efficient and scalable clustering approach for underwater wireless sensor nodes by Raghu, Shyamsundar, Shankar, T.

“… This paper proposes a novel meta-heuristic clustering-based routing protocol inspired by the hunger-driven hunting and territorial behaviour of lions, termed the Hunger Driven Lion Clustering Algorithm (HDLCA…”
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An Adaptive Parameter-Free Optimal Number of Market Segments Estimation Algorithm Based on a New Internal Validity Index by Qi, Jianfang, Li, Yue, Jin, Haibin, Feng, Jianying, Tian, Dong, Mu, Weisong

“…) Between-Within-Connectivity (BWCON) and a new stable clustering algorithm Natural-SDK-means++ (NSDK-means++) in a novel way. First, to complete the evaluation dimensions…”
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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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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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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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