妨碍议事 发表于 2025-3-28 16:54:59
http://reply.papertrans.cn/24/2375/237442/237442_41.pngAROMA 发表于 2025-3-28 21:56:43
An Accelerated Approach of Template Matching for Rotation, Scale and Illumination Invarianceke spatial correlation, cross correlation is computationally expensive and error prone when the object in the image is rotated or translated. The conventional approach gives erroneous result in the presence of variation in illumination of the scene sub image. In this paper, an algorithm for a rotatimilligram 发表于 2025-3-28 23:37:58
http://reply.papertrans.cn/24/2375/237442/237442_43.pngmeretricious 发表于 2025-3-29 07:02:31
Application of MOPSO and MOCLPSO for the Optimal Placement of TCSCslem with the objective of maximizing transmission system loadability, minimizing transmission loss and minimizing the cost of TCSCs. The thermal limits of transmission lines and voltage limits of load buses are considered as security constraints. Multi-Objective Particle Swarm Optimization (MOPSO) a土产 发表于 2025-3-29 11:16:59
http://reply.papertrans.cn/24/2375/237442/237442_45.pngBiofeedback 发表于 2025-3-29 14:59:42
Assessing Morningness of a Group of People by Using Fuzzy Expert System and Adaptive Neuro Fuzzy Infr side, an ANFIS model is generated to assess data for training and testing the model in accordance with a preference scale adopted to quantify the responses of subjects for a reduced version of Morningness-Eveningness Questionnaire (rMEQ). The result reflects that ANFIS is able to assess morningness better than fuzzy expert inference system.变量 发表于 2025-3-29 19:23:29
http://reply.papertrans.cn/24/2375/237442/237442_47.png失望未来 发表于 2025-3-29 20:37:21
http://reply.papertrans.cn/24/2375/237442/237442_48.pnghidebound 发表于 2025-3-30 02:11:43
http://reply.papertrans.cn/24/2375/237442/237442_49.pngPALSY 发表于 2025-3-30 06:00:08
Medical Image Binarization Using Square Wave Representation Then, the image pixel is assigned with a value +1 or -1 using this local threshold value. The experimental results show that the proposed method reduces the complexity and increases the seperability factor in medical image segmentation. The result obtained by our method is comparable to or better than Otsu’s thresholding method.