FPGA Tutorial Case 58: Deep Learning Case 5

FPGA Tutorial Case 58: Deep Learning Case 5

01Deep Learning Case 5 – Verilog Implementation of Image Buffer for CNN Convolutional Neural Network Based on FPGA This tutorial provides a detailed introduction to the Verilog implementation of the image buffer layer for CNN convolutional neural networks based on FPGA. The content includes software versions, theoretical introduction to image buffering, Verilog code implementation, and … Read more

FPGA Tutorial Case 60: Deep Learning Case 7

FPGA Tutorial Case 60: Deep Learning Case 7

01Deep Learning Case 7 – Testbench Development and CNN Simulation Testing Based on FPGA This document provides a detailed introduction to the simulation testing process of a CNN convolutional neural network based on FPGA, including the use of software version Vivado 2019.2, the development of the CNN simulation testbench, and the analysis of simulation results. … Read more

Arm Technology Launches Next-Generation NPU IP ‘Zhouyi’ X3 with Single Cluster FP8 AI Performance of 8-80 TFLOPS

Arm Technology Launches Next-Generation NPU IP 'Zhouyi' X3 with Single Cluster FP8 AI Performance of 8-80 TFLOPS

On November 17, Arm Technology officially launched its next-generation NPU IP ‘Zhouyi’ X3 at a product launch event in Shanghai on the 13th of this month. It adopts a hybrid architecture of DSP + DSA and can be widely used in four core areas: infrastructure, smart vehicles, mobile terminals, and smart IoT. The X3 is … Read more

Ensemble Learning | MATLAB-based CNN-LSTM-Adaboost Multi-Input Single-Output Regression Prediction

Ensemble Learning | MATLAB-based CNN-LSTM-Adaboost Multi-Input Single-Output Regression Prediction

✅ Author Bio: A research enthusiast and MATLAB simulation developer, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and research simulation. 🍎 Previous reviews can be found on my personal homepage:MATLAB Research Studio 🍊 Personal motto: Investigate to gain knowledge,complete MATLAB code acquisition and simulation consulting content via private message. … Read more

Ensemble Learning | MATLAB-based CNN-GRU-Adaboost Multi-Input Single-Output Regression Prediction

Ensemble Learning | MATLAB-based CNN-GRU-Adaboost Multi-Input Single-Output Regression Prediction

✅ Author Bio: A research enthusiast and MATLAB simulation developer, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and research simulation. 🍎 Previous reviews can be found on my personal homepage:MATLAB Research Studio 🍊 Personal motto: Investigate to gain knowledge,complete MATLAB code acquisition and simulation consultation content via private message. … Read more

Ensemble Learning | MATLAB-based CNN-BiLSTM-Adaboost Multi-Input Single-Output Regression Prediction

Ensemble Learning | MATLAB-based CNN-BiLSTM-Adaboost Multi-Input Single-Output Regression Prediction

✅ Author’s Profile: A research enthusiast and MATLAB simulation developer, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and research simulation. 🍎 Previous Reviews: Follow my personal homepage:MATLAB Research Studio 🍊 Personal Motto: Investigate to gain knowledge,complete MATLAB code acquisition and simulation consulting content via private message. 🔥 Content Introduction … Read more

FPGA Tutorial Case 59: Deep Learning Case 6

FPGA Tutorial Case 59: Deep Learning Case 6

01Deep Learning Case 6 – Overall Implementation of CNN Convolutional Neural Network Based on FPGA This tutorial provides a detailed introduction on how to implement a CNN convolutional neural network on FPGA, including the image input layer, convolutional layer, activation layer, and pooling layer. Using Verilog programming, it gradually constructs the overall structure of the … Read more

A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

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

CNN-Based Remaining Useful Life Prediction for Aircraft Engines (MATLAB Implementation)

CNN-Based Remaining Useful Life Prediction for Aircraft Engines (MATLAB Implementation)

Overview of Results Machine Learning Heart Date: September 10, 2025 CNN-Based Remaining Useful Life Prediction for Aircraft Engines (MATLAB Implementation) This article will introduce how to implement a Remaining Useful Life (RUL) prediction model for aircraft engines based on Convolutional Neural Networks (CNN) using MATLAB. The prediction of the remaining useful life of aircraft engines … Read more

3DCNN and Its Combinations: Innovations and MATLAB Code

3DCNN and Its Combinations: Innovations and MATLAB Code

Introduction This issue introduces a method for bearing fault diagnosis based on multi-resolution mel analysis using 3DCNN. The general idea is to use Mel frequency spectrum analysis to convert one-dimensional fault data into three-dimensional data (as for how to achieve this, it is not convenient to disclose here!) and then input it into the 3DCNN … Read more