Intellectual 发表于 2025-3-23 12:28:33
An Approach Toward Deep Learning-Based Facial Expression Recognition in Wavelet Domain, feature representation using DWT and expression recognition using CNN. We have used benchmark CK+ dataset for experiments and evaluated the performance of the proposed method in terms of recognition accuracy. The developed framework has been compared with existing FER methods and shows its effectiveness with an accuracy of 98.73%.Conjuction 发表于 2025-3-23 14:06:11
Modified UNet Architecture with Less Number of Learnable Parameters for Nuclei Segmentation,tion. The proposed modified UNet architecture with the less number of learnable parameters is able to achieve 97.72% accuracy and 93.29% F1-Score, which is comparable with the benchmark results for the nuclei dataset used in the present work.Cumulus 发表于 2025-3-23 18:50:36
http://reply.papertrans.cn/88/8705/870452/870452_13.pngBUCK 发表于 2025-3-23 22:19:24
http://reply.papertrans.cn/88/8705/870452/870452_14.png羊栏 发表于 2025-3-24 03:14:16
Artificial Intelligence with New Approach of Concrete Ingredients Changing in the Exact Proportions are related to, initial and final setting time which increases/decreases and development of strength. Different types of concrete ingredients are available but concrete additive and compressive strength of concrete play a vital role in changing properties of concrete. Generally, two key operations纬线 发表于 2025-3-24 10:28:44
http://reply.papertrans.cn/88/8705/870452/870452_16.pngAphorism 发表于 2025-3-24 11:37:27
http://reply.papertrans.cn/88/8705/870452/870452_17.pngNutrient 发表于 2025-3-24 18:29:56
Evaluating Deep Neural Network Ensembles by Majority Voting Cum Meta-Learning Scheme, instead of using a single DNN as classifier, we propose an ensemble of seven independent DNN learners by varying only the input to these DNNs keeping their architecture and intrinsic properties same. To induce variety in the training input, for each of the seven DNNs, one-seventh of the data is delobsolete 发表于 2025-3-24 19:40:03
Virtual Mouse Control Using Finger Action,. It is used to point the digital world content by using the physical module. To give this existing traditional way of technology an intelligence, we proposed a computer vision-based hand gesture recognition system to interact with the digital world. Our system controls mouse pointer using finger coconvulsion 发表于 2025-3-25 01:41:01
http://reply.papertrans.cn/88/8705/870452/870452_20.png