Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification

₹12500-37500 INR

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Zveřejněno

před 9 měsíci

₹12500-37500 INR

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I am looking for a freelancer to develop a Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification. The project requires the following: - Desired accuracy for the classification task: Above 95% - Availability of labeled training data for the classification task - Development of the network using Python programming language Ideal skills and experience: - Strong knowledge and experience in developing graph convolution networks - Proficiency in Python programming language and relevant libraries/frameworks for deep learning - Familiarity with hyperspectral image classification techniques - Ability to handle semi-supervised learning and multiscale dynamic graph convolution - Strong problem-solving skills and attention to detail If you have the expertise and experience in these areas, please submit your proposal with relevant examples of your previous work.

Python

Machine Learning (ML)

Algorithm

Deep Learning

IČ projektu: 37107631

O projektu

8 nabídky

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Aktivní před 8 měsíci

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8 freelanceři nabízejí v průměru ₹25 938 INR za tuto práci

@sajjadtaghvaeifr

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.

₹35 000 INR v 7 dnech

4,9

(99 recenze)

7,3

@kazemmojtama

Hello, good time Hope you are doing well I'm expert in MATLAB/Simulink, Python, Java, JavaScript and C++ programming and by strong mathematical and statistical background, have good flexibility for solve your project. I have many experience practical and theoretical in implementation different algorithms (such as: state estimation and Kalman filter, design controller, analysis closed loop stability, signal and systems, signal processing, heuristic optimization, fuzzy logic, neural network and machine/deep learning fields). Evidence of this claim exist in the portfolio. I have read your project description and I can help you (without any plagiarism). Please send me the details of your project. Thanks for attention 100% Jobs Completed, 100% On Budget, 100% On Time ⭐⭐⭐⭐⭐ 5-star reviews

₹35 000 INR v 7 dnech

5,0

(26 recenze)

6,7

@hotanloc

Hi. Client. Thanks for your posting. I saw your project description carefully. I can complete this task with high quality on time. My core skill is in Computer vision and ML/DL that segments foreground and background from image. I have full experiences in this work. Please send me your message to discuss your project detail more...I am waiting your reply now. Thanks.

₹12 500 INR v 3 dnech

3,8

(7 recenze)

3,8

@santhoshkasi86

Hi, I have vast experience in superevised, semisupervised and unsupervised modeling using python for image processing, classification, and segmentation. I can able to complete the task as per your requirement. I have been supporting lots of researchers to complete their Ph.D., in this field for more than 15 years. Please let us discuss the timeline and budget in chat.

₹15 000 INR v 10 dnech

4,4

(1 recenze)

0,3

@hossamhasssan288

I have very good experience in AI and Robotics , Control analysis , Programming , Machine learning , Deep learning , NLP , Data Science , Robotics , ROS , Matlab , Python , SQL

₹25 000 INR v 7 dnech

0,0

(0 recenze)

0,0

@rahulvsharan

In addition to our proficiency in hyperspectral data analysis for mineral identification and semantic segmentation, we've also successfully leveraged deep learning frameworks like PyTorch and TensorFlow to augment our capabilities. When working with hyperspectral data, we executed a comprehensive workflow, encompassing data preprocessing, dimensionality reduction, and spectral analysis, enabling precise mineral identification. For semantic segmentation tasks, we harnessed the power of neural networks such as U-Net or Mask R-CNN to deliver high-quality results in delineating objects of interest within images. Recognizing the significance of scalability and accessibility in modern data-driven applications, we took our solutions to the next level by deploying them on the Google Cloud Platform (GCP)

₹35 000 INR v 25 dnech