Suchergebnisse - coyote optimization algorithm clustering

Radar Signal Sorting Based on Adaptive SOFM and Coyote optimization von Cui, Zongding, Fu, Xiongjun, Lang, Ping, Dong, Jian, Wu, Fei, Gao, Haodong

“… ) network and coyote optimization algorithm, (i.e., SOCOA). In the first stage, the improved SOFM network is used to roughly sort the radar signals, and obtains the approximate number of categories and cluster center position of the input data …”
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Coyote Optimization Based on a Fuzzy Logic Algorithm for Energy-Efficiency in Wireless Sensor Networks von Mohamed, Asmaa, Saber, Walaa, Elnahry, Ibrahim, Hassanien, Aboul Ella

“… This paper proposes a new clustering scheme for heterogeneous WSN using Coyote …”
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Hybrid hesitant fuzzy linguistic bi-objective binary coyote clustering based segmentation and classification for land use land cover in hyperspectral image von Yele, Vijaykumar P., Alegavi, Sujata, Sedamkar, R. R.

“… The Binary Coyote Optimization Algorithm (BCOA) is used for optimizing hesitant fuzzy linguistic bi-objective clustering …”
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Coyote Optimization Using Fuzzy System for Energy Efficiency in WSN von S. Almasoud, Ahmed, Abdalla Elfadil Eisa, Taiseer, Obayya, Marwa, Abdelmaboud, Abdelzahir, Al Duhayyim, Mesfer, Yaseen, Ishfaq, Ahmed Hamza, Manar, Motwakel, Abdelwahed

“… In order to extend the lifespan of WSN, clustering techniques are used for the improvement of energy consumption …”
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Hybrid optimization-based clustering and cross-layer channel access routing with wavelet-based Elman network for effective transmission in wireless sensor network von MaheshSathya, C., Ramkumar, R.

“… With the fast growth of the Internet of Things, Wireless Sensor Networks are being adopted across a wide range of fields, such as defence uses, …”
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An efficient fault tolerance scheme based enhanced firefly optimization for virtual machine placement in cloud computing von Sheeba, Adlin, Uma Maheswari, B.

“… ‐means clustering algorithm. In addition, to obtain the optimal cluster for the virtual machine placement, the adaptive particle swarm optimization with the coyote optimization algorithm is employed …”
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QoS Aware Optimized Clustering Algorithm for Reliable Transmission in VANET von M. Manoj

“… The proposed protocol utilizes the Tree-Seed Induced Coyote Optimization (TSCO) algorithm for clustering for enhancing the energy efficiency.  Results …”
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Enhancing the Lifetime and Energy Efficiency of Wireless Sensor Networks Using Aquila Optimizer Algorithm von Taha, Ashraf A., Abouroumia, Hagar O., Mohamed, Shimaa A., Amar, Lamiaa A.

“… consumption and extend the lifetime of the WSN, is a significant challenge in the design of network clustering techniques …”
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An ensembled-deep-learning paradigm trained with a self-improved coyote optimization algorithm (SI-COA) for crop disease detection von Shukla, Preeti, Chandanan, Amit Kumar

“… In recent times, drastic climate changes have caused a substantial increase in the growth of crop diseases. This causes large-scale demolition of crops, …”
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Intelligent unequal clustering in wireless sensor networks using a game theoretic and evolutionary strategy von Qu, Yanhui, Qu, Yingyi, Zhu, Zhiqiang, Deng, Liang, Xu, Xiao

“… The proposed method selects cluster heads through Coyote Optimization Algorithm (COA) optimization while fuzzy logic controls the adaptive cluster radii according to network conditions …”
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Link-based multi-verse optimizer for text documents clustering von Abasi, Ammar Kamal, Khader, Ahamad Tajudin, Al-Betar, Mohammed Azmi, Naim, Syibrah, Makhadmeh, Sharif Naser, Alyasseri, Zaid Abdi Alkareem

“… The multi-verse optimizer algorithm (MVO) is a stochastic population-based algorithm, which was recently introduced and successfully utilized to tackle many optimization problems that are complex …”
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Development of improved coyote optimization with deep neural network for intelligent skill knowledge transfer for human to robot interaction von Gawali, Mahendra Bhatu, Gawali, Swapnali Sunil

“… New control approaches are being developed to allow robots to undertake increasingly dynamic and dextrous control tasks. Since these abilities need a large …”
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Intelligent Disease Diagnosis Model for Energy Aware Cluster Based IoT Healthcare Systems von Madhu, G., Lalith Bharadwaj, B., Boddeda, Rohit, Vardhan, Sai, Sandeep Kautish, K., Alnowibet, Khalid, F. Alrasheedi, Adel, Wagdy Mohamed, Ali

“… Therefore, energy efficient clustering mechanism is needed to effectively reduce the energy consumption of IoT devices …”
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Heuristically Modified Fusion-based Hybrid Algorithm for Enhanced Dental Caries Segmentation von Kumari, A. Ramana, Rao, S. Nagaraja, Reddy, P. Ramana

“… The research work highlightsthe efficiency of intelligent algorithms for the recognition of dental cavities …”
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Pre-flood and Post-flood Classification of Landsat 8 OLI Images of Florida in USA with Low Time Complexity von Rai, Amit Kumar, Mandal, Nirupama, Singh, Krishna Kant

“… To overcome these issues a deep convolutional spiking coyote neural network-based pre/post-flood classification using satellite images is proposed in this research manuscript …”
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DSTS: A hybrid optimal and deep learning for dynamic scalable task scheduling on container cloud environment von Muniswamy, Saravanan, Vignesh, Radhakrishnan

“… To expand containers virtual resources, we first offer a modified multi-swarm coyote optimization (MMCO …”
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Energy-Efficient Routing in Underwater Wireless Sensor Networks Through Cluster-Dragonfly Optimization von D, Anitha, Husain, Saif O., Velpula, Srikanth, N, Rajani, Dineshkumar, R.

“… ), Improved Coyote Optimization Algorithm …”
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A hybrid machine learning-based model for predicting flight delay through aviation big data von Dai, Min

“… ) algorithm is used to determine the most influential indicators on flight delays. To overcome the challenges related to large flight data volumes, a clustering strategy based on the DBSCAN …”
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Artificial Intelligence-Enabled Medical Analysis for Intracranial Cerebral Hemorrhage Detection and Classification von Meng, Fanhua, Wang, Jianhui, Zhang, Hongtao, Li, Wei

“… Intracranial hemorrhage (ICH) becomes a crucial healthcare emergency, which requires earlier detection and accurate assessment. Owing to the increased death …”
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RETRACTED ARTICLE: Enhanced network lifespan in future wireless communication using machine learning based convolution neural networks von Sheela, S. V., Radhika, K. R.

“… The design of network clustering approaches has a big problem when it comes to extending the lifetime of wireless sensor networks (WSNs …”
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