💥💥💞💞Welcome to this blog❤️❤️💥💥 🏆Author’s Advantage: 🌞🌞🌞The blog content aims to be logically clear and well-structured for the convenience of readers. ⛳️Motto: A journey of a hundred miles begins with a single step. 💥1 Overview Palm texture recognition is a biometric technology used for verifying and identifying individual identities. It utilizes the unique texture features … Read more
Breaking down auditory perception into data, and letting the ESP32 recognize the sound world! This project fully builds an environmental sound classification system using the ESP32-S2-Mini-1: from microphone audio capture, to window function + RFFT for frequency spectrum transformation, followed by Mel feature extraction and lightweight CNN inference, ultimately displaying scene categories such as “rain … Read more
Title: A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification Paper Link:https://github.com/chenpeng052/SCT-Net Collaborative Architecture: The “Synergistic CNN-Transformer” framework is proposed, utilizing the local spatial representation strengths of CNNs and the global spectral dependency modeling capabilities of Transformers for hyperspectral pixel-level classification. TBFE Dual-Branch Feature Extraction: A parallel 3D convolution branch (1×1×3 kernel, … Read more
💥💥💞💞Welcome to this blog❤️❤️💥💥 🏆Author’s Advantage: 🌞🌞🌞The blog content aims to be logically clear and coherent for the convenience of readers. ⛳️Motto: A journey of a hundred miles begins with a single step. 💥1 Overview A face recognition system based on Principal Component Analysis (PCA) is a common face recognition technology that identifies faces in … Read more
Click the blue text above to follow us 📋📋📋 The table of contents is as follows: 🎁🎁🎁 Contents 💥1 Overview 📚2 Results 🎉3 References 🌈4 Matlab Code, Data, Literature 1 Overview Efficient data investigation and rapid, accurate prediction of the remaining useful life (RUL) of aircraft engines can be considered a very important task in … Read more
Librosa: Python Toolbox for Audio Analysis Hello everyone! Today we are going to learn about a very powerful tool – Librosa. Imagine if you want to perform audio processing and analysis but don’t want to be bogged down by complex signal processing libraries, Librosa is the perfect choice! Librosa is an open-source Python library specifically … Read more
“ Compared to cloud AI, edge AI focuses on embedding AI capabilities into devices, enabling real-time data processing, privacy protection, and low-latency responses by running AI algorithms locally on the terminal. This approach is becoming the core carrier for the implementation of AI technology. According to the “2024-2030 China Edge AI Market Survey and Investment … Read more
Title: A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper Link: https://github.com/chenpeng052/SCT-Net Twin-Branch Feature Extraction Module (TBFE): Parallel combination of3D Convolution (for spectral features) and2D Convolution (for spatial features), achieving spectral-spatial joint modeling early on. Hybrid Pooling Attention Module (HPA): Combines average pooling and max pooling to capture spatial dependencies through … Read more
Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper link: https://github.com/chenpeng052/SCT-Net Proposed a CNN-Transformer synergistic network, combining the local feature extraction capability of CNNs with the global modeling capability of Transformers. Designed a Twin-Branch Feature Extraction (TBFE) module, which uses 2D and 3D convolutions in parallel to extract spatial and spectral … Read more
Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper Link: https://www.sciencedirect.com/science/article/abs/pii/S1051200425000922 Two-Branch Feature Extraction Module (TBFE): Utilizes 2D and 3D convolutions in parallel to extract spatial and spectral features, effectively fusing multidimensional information. Hybrid Pooling Attention Module (HPA): Combines average pooling and max pooling to achieve information aggregation across spatial dimensions, … Read more