Introduction to Computer Vision: Mobile Product Barcode Detection Solutions

Introduction to Computer Vision: Mobile Product Barcode Detection Solutions

Click on the above “Beginner Learning Vision“, select to add “Star” or “Top“ Important content delivered at the first time 1. Project Content This solution will build a machine vision-based assembly line detection platform for mobile barcodes. The product is placed on the assembly line, and a high-speed industrial camera captures it one by one … Read more

Data Regression Prediction Using CNN with MATLAB Code

Data Regression Prediction Using CNN with MATLAB Code

1 Content Introduction The safe and stable operation of the power system is closely related to the development of the national economy and the safety of personal property. Accurate short-term load forecasting results are important for the power grid to guide the power system in formulating generation plans, coordinating unit operations, scheduling load distribution, and … Read more

Top 5 Programming Languages for Image Recognition

Top 5 Programming Languages for Image Recognition

The recent launch of mini-programs and apps related to garbage classification has once again brought image recognition into the spotlight. In China, image recognition technology ranks among the top in the world. Prior to this, many technologies have been applied to image recognition, such as Alipay’s facial recognition payment, facial recognition entry to hotels, and … Read more

A Beginner’s Guide to Computer Vision

A Beginner's Guide to Computer Vision

Persisting with originality, click the blue text above to followme! Computer Vision is an important field of artificial intelligence technology. To put it metaphorically (though not necessarily accurately), I believe computer vision is the eye of the artificial intelligence era, highlighting its significance. Computer vision is actually a grand concept, and the image below summarizes … Read more

GA-CNN-BiLSTM-Attention Series for Multivariate Time Series Prediction

GA-CNN-BiLSTM-Attention Series for Multivariate Time Series Prediction

Reading time required 6 minutes Speed reading only takes 2 minutes Please respect original labor achievementsPlease indicate the link of this article and the author: Machine Learning Heart Click to read the original text or copy the following link to the browser to get the complete source code and data of the article: https://mbd.pub/o/bread/mbd-Z56VmZtt Abstract: … Read more

Data Generation Method Based on 1D-GAN (Includes Matlab Code)

Data Generation Method Based on 1D-GAN (Includes Matlab Code)

The powerful feature representation and nonlinear fitting capability of deep neural networks stem from sufficient learning on high-quality datasets. However, in practical engineering applications, due to economic and labor costs, acquiring a large amount of typical labeled data becomes extremely challenging, resulting in avery limited number of training samples. Data augmentation methods provide a simple … Read more

Time Series Prediction Using LSTM Neural Network

Time Series Prediction Using LSTM Neural Network

Click the blue text to follow us Happy New Year, wishing you good fortune in the Year of the Dragon Happy Spring Festival LSTM Neural Network Time Series Prediction Given a simple dataset, we use Long Short-Term Memory (LSTM) neural networks to implement time series prediction, with the ReLU function as the activation function. The … Read more

Optimizing Process Parameters and Design with Transformer-GRU and NSGA-II

Optimizing Process Parameters and Design with Transformer-GRU and NSGA-II

Reading time required 6 minutes Speed reading only takes 2 minutes Please respect the original labor resultsReprint must indicate the link to this articleand the author: Machine Learning Heart Click to read the original text or copy the following link to the browser to obtain the complete source code and data of the article: https://mbd.pub/o/bread/mbd-Z56Ul5hy … Read more

MTF-CNN-Attention Fault Recognition Program

MTF-CNN-Attention Fault Recognition Program

Applicable Platform: Matlab 2023 and above This program references the ChineseEIJournal“Power Grid Technology” online publication, literature: “Classification Method of Power Quality Disturbances Based on Markov Transition Field and Multi-Head Attention Mechanism“. The program is well-commented and full of valuable content. Below is a brief introduction to the article and the program! Innovations in the Literature:The … Read more

Fire Detection System Based on Faster R-CNN

Fire Detection System Based on Faster R-CNN

Table of Contents 1. System Overview 2. System Simulation Effect Preview 3. Core Code 4. Complete Project Acquisition 1. System Overview Faster R-CNN is a deep learning object detection algorithm based on Region Proposal Network (RPN) and Fast R-CNN. This algorithm consists mainly of two parts: the RPN network and the Fast R-CNN network. The … Read more