增强 发表于 2025-3-23 16:19:40
Improve K-Mean Clustering Algorithm in Large-Scale Data for Accuracy Improvement,nitially finds the starting level centroids “k” as per requirements and returns with better compare to previous, effective and very stabilized cluster. Here proposed algorithm consumes very less time for execution as it segregates unnecessary computational distance because it uses the previous itera名次后缀 发表于 2025-3-23 18:49:15
http://reply.papertrans.cn/63/6204/620363/620363_13.pngApogee 发表于 2025-3-24 00:21:28
http://reply.papertrans.cn/63/6204/620363/620363_14.pngOscillate 发表于 2025-3-24 02:36:44
http://reply.papertrans.cn/63/6204/620363/620363_15.png高贵领导 发表于 2025-3-24 08:12:38
http://reply.papertrans.cn/63/6204/620363/620363_16.png人工制品 发表于 2025-3-24 12:46:45
http://reply.papertrans.cn/63/6204/620363/620363_17.png疼死我了 发表于 2025-3-24 17:07:39
Development of an Automated CGPBI Model Suitable for HEIs in India,es with more transparent results concerning their performance. This model recommends a computer-based multi-source assessment (MSA) mechanism that suggests computer-based logical proposition for evaluation of faculty annual performance appraisal through validation impartial variables in HEIs.investigate 发表于 2025-3-24 19:43:58
Performance Investigation of Cloud Computing Applications Using Steady-State Queuing Models,urrent cloud models at different intervals of time. Based on the results, the adjustments or the changes in the network model can be completed. In the current article, an attempt has been made to analyse a cloud model by considering the model working in study state and the performance was analysed f落叶剂 发表于 2025-3-24 23:45:24
http://reply.papertrans.cn/63/6204/620363/620363_20.png慎重 发表于 2025-3-25 05:44:17
Bandi Vamsi,Bhanu Prakash Doppala,N. Thirupathi Rao,Debnath Bhattacharyya