阴险
发表于 2025-3-27 00:59:50
https://doi.org/10.1007/978-981-99-8846-4sed along with available tools for simulation in an opportunistic network. The main objective of this article is to deal with current challenges in routing and to provide a future direction for the same.
floaters
发表于 2025-3-27 03:13:33
Biodiversity: Concepts and Valueser than the standard .-means in lower dimensions. Furthermore, this article delves deeper into the effects of algorithm hyperparameters and dataset parameters on .-splits. Finally, it suggests using .-splits to uncover the exact position of centroids and then input them as initial points to the .-means algorithm to fine-tune the results.
ethereal
发表于 2025-3-27 05:57:50
http://reply.papertrans.cn/24/2337/233672/233672_33.png
dermatomyositis
发表于 2025-3-27 12:02:47
http://reply.papertrans.cn/24/2337/233672/233672_34.png
Demulcent
发表于 2025-3-27 13:53:37
http://reply.papertrans.cn/24/2337/233672/233672_35.png
感情脆弱
发表于 2025-3-27 21:08:40
Sign Language Interpreter,ir quarantine from the rest of the society notably. Results from this literature review could help in development of an efficient sign interpreter which helps for the communication between non-signer and a signer.
Entirety
发表于 2025-3-27 23:26:55
Performance Analysis and Assessment of Various Energy Efficient Clustering-Based Protocols in WSN,ced distributed energy efficient clustering (EDEEC) and stable election protocol (SEP) are executed. The analysis is carried out in terms of number of nodes and probability of election for cluster head (CH). The observations and results obtained for these protocols are presented.
流利圆滑
发表于 2025-3-28 03:07:45
http://reply.papertrans.cn/24/2337/233672/233672_38.png
OASIS
发表于 2025-3-28 09:07:13
K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters,er than the standard .-means in lower dimensions. Furthermore, this article delves deeper into the effects of algorithm hyperparameters and dataset parameters on .-splits. Finally, it suggests using .-splits to uncover the exact position of centroids and then input them as initial points to the .-means algorithm to fine-tune the results.
BLAND
发表于 2025-3-28 10:53:47
Optimisation of the Execution Time Using Hadoop-Based Parallel Machine Learning on Computing Clusteity and speed are developed after comprehensive examinations. In order to improve clustering quality and speed up the localised clustering solution, the MapReduce-K-means-distributed (MR-K-means) document clustering approach is implemented in the Hadoop framework using an efficient similarity metric.