PALSY 发表于 2025-3-25 04:47:43
Myth and Philosophy in Platonic Dialoguesances. These persistent disturbances create stability problem to system in the field of control engineering, therefore, the implementation of controllers for such systems has to be a difficult thing. The robust control of linear uncertain systems remained a subject of interest for researchers in theAPRON 发表于 2025-3-25 10:16:04
Myth and Rhetoric of the Turkish Modeloller for such kinds of processes. In this article, a fractional filter internal model control (IMC)-based Proportional Integral Derivative (PID) controller is proposed for better set-point tracking and disturbance rejection of second-order non-minimum phase processes with dead time. The effect of t尖 发表于 2025-3-25 14:57:07
https://doi.org/10.1057/9780230277496s classification and segmentation of medical images. Existing architectures such as U-Net, Attention U-Net, and Attention Residual U-Net are the state-of-the-art architectures for brain tumor segmentation. However, these architectures do not address the issue of how to extract the features in channeThyroxine 发表于 2025-3-25 19:06:06
https://doi.org/10.1007/978-3-031-50281-1recognition accuracy using deep learning using Convolutional Neural Networks. The dataset used in this project is derived from Kaggle Dataset, comprising of 374,000 of text images with 28 × 28 dimensions. The dataset was divided in the ratio of 80:20 for training and testing, respectively. The model音乐会 发表于 2025-3-25 21:30:12
https://doi.org/10.1057/9781137362759very day. Digital watermarking is a scheme used to protect the images from illegal copying or manipulation. There are several methods for digital image watermarking. However, in this paper, a singular value decomposition (SVD) and integer wavelet transform (IWT)-based technique have been adopted. Th分解 发表于 2025-3-26 02:16:44
http://reply.papertrans.cn/31/3083/308245/308245_26.pngspondylosis 发表于 2025-3-26 08:08:33
https://doi.org/10.1007/978-3-663-01492-8r detection are done either using deep learning models or heavily concentrated neural networks that require high computational machine and large datasets. This paper incorporates four shallow machine learning models, i.e., Naive Bayes (Both Gaussian and Categorical), K-Nearest Neighbor (KNN), and De恶心 发表于 2025-3-26 11:48:06
http://reply.papertrans.cn/31/3083/308245/308245_28.pngOUTRE 发表于 2025-3-26 15:50:36
http://reply.papertrans.cn/31/3083/308245/308245_29.pngNATTY 发表于 2025-3-26 18:27:26
978-981-99-6857-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor