Matlab Simulink Projects

opportunity

MATLAB App Designer Serial Communication and Data Visualisation

We are looking for someone who could design a POC app in Matlab App designer to enable us to read / write serial commands to range of electronic hardware and then represent data in the app. A simple example of comparable software would be something like SerialPlot - except we want a more user friendly interface. We have approximately 50-100 registers that we communicate with via UART and would like to monitor factors like speed, current draw and other such factors in graphical form. We're initially looking for a basic proof of concept which, if successful, would then lead to a more in depth project.

Make a Simulink model for suv, sedans and truck car

Design a car model as mentioned in the project title

opportunity

Denoising Raw ECG data which is in EDF format

Introduction: Our project focuses on processing raw ECG signals recorded in European Data Format (EDF) to produce denoised, clear ECG data for further analysis. The primary goal is to reduce noise in the raw ECG signals and convert them into a clean, vectorized format saved as CSV. This will ensure easier interpretation and analysis of the ECG data for medical professionals and algorithm-based diagnostics. Project Overview: We are looking for an experienced developer to develop a solution for denoising raw ECG signals, specifically stored in the EDF format. The solution should be capable of reading EDF files, applying noise-reduction techniques, and outputting a high-quality, clear ECG signal in CSV format. The developer will be responsible for the following: EDF File Handling: Read and extract ECG signal data from EDF (European Data Format) files, which are widely used for storing physiological signals. Noise Reduction: Implement denoising algorithms to clean the raw ECG signal and remove common noise artifacts such as baseline wander, muscle noise, and power line interference, while preserving the integrity of the ECG signal. Output in CSV Format: Convert the denoised ECG signal into a CSV file format. Each CSV file should contain clean, vectorized data points that are easily interpretable for subsequent stages of analysis. Comparative Signal Analysis: Ensure the output data is visually clear and shows noticeable improvements in signal quality compared to the original raw data. Scope of Work: Reading EDF Files: Implement a robust method to load and extract ECG data from EDF files. Ensure compatibility with various EDF files, focusing on ECG channels. Noise Reduction Implementation: Apply techniques such as digital filtering (e.g., low-pass, high-pass, band-pass filters), wavelet transforms, or adaptive filtering to reduce noise. Address common noise types, including baseline drift, powerline interference (50/60 Hz), and muscle noise. Preserve important signal features, such as QRS complexes, P-waves, and T-waves. CSV Output: Convert the denoised ECG signal into a CSV format, ensuring clear vector points with columns for time and corresponding ECG signal amplitude. Ensure the CSV output format is consistent, labeled, and ready for further analysis or integration into machine learning algorithms. Quality Assurance: Compare the denoised output to the raw ECG signal to verify improvement. Visualize and demonstrate the effectiveness of noise reduction through graphs or plots. Required Skills: Experience with signal processing techniques, especially for ECG signals. Familiarity with EDF (European Data Format) and conversion processes. Expertise in implementing noise-reduction algorithms using filters and other advanced methods. Proficiency in Python, MATLAB, or similar tools for signal processing and data manipulation. Ability to output processed data into CSV format with clear and interpretable vector points. Deliverables: Fully functional code to read and denoise ECG signals from EDF files. Output ECG signal in CSV format with reduced noise. Documentation of the process, including explanations of the denoising techniques used. Comparison and visualization of raw and denoised ECG signals. Timeline: We expect this project to be completed within [insert desired timeframe], with the initial implementation and testing of denoising algorithms to be completed in [insert milestone period]. Budget: 1500 - 2000 USD Conclusion: We seek a skilled developer with experience in ECG signal processing to help us denoise raw ECG signals and convert them into a clear, vectorized CSV format. This project will improve the quality of ECG data for further medical analysis and algorithmic processing. Please provide relevant experience, your approach to this task, and your estimated time for completion.

Computer Vision / Artificial Intelligence / Machine Learning

We are looking for Senior Computer Vision Engineers for Contractual/Freelancing Roles. The job description and requirements are as following: Key Responsibilities: Algorithm Development: Design, develop, and optimize computer vision algorithms for image processing, object detection, recognition, and segmentation. Model Training: Develop and train machine learning models tailored for image analysis and visual data interpretation. AI Integration: Implement and integrate AI models into existing software and hardware systems, ensuring high performance and scalability. Data Analysis: Analyze and process large datasets of images and video feeds to identify patterns, trends, and insights. Performance Optimization: Optimize algorithms and models for real-time processing and ensure they can handle large-scale data efficiently. Required Technical Qualifications: Experience: Minimum of 2 years of professional experience in computer vision, with a proven track record of working on complex image processing and ML projects. Programming Skills: Proficient in programming languages such as Python, C++, and MATLAB. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. Algorithm Expertise: Strong understanding of computer vision algorithms and techniques, including but not limited to convolutional neural networks (CNNs), object detection (e.g., YOLO, Faster R-CNN), image segmentation (e.g., U-Net), and feature extraction. AI/ML Knowledge: In-depth knowledge of machine learning principles and experience with supervised, unsupervised, and reinforcement learning. Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. Performance Tuning: Expertise in optimizing models for deployment in real-time systems and experience with GPU acceleration (e.g., CUDA, TensorRT). Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git. Analytical Skills: Strong analytical and problem-solving skills with the ability to think creatively and develop innovative solutions. Communication: Excellent written and verbal communication skills, with the ability to present complex technical information to non-technical stakeholders.

MATLAB CODING

I am seeking a skilled MATLAB coder to assist me with my data science coursework application. The project involves coding MATLAB to analyze and manipulate data. The coder should have experience with data science, machine learning, and statistical analysis. The coder should be able to work independently and as part of a team. The coder should be able to communicate effectively and meet deadlines. The coder should be able to provide high-quality code that is easy to read and maintain. The coder should be available to start immediately and work for a reasonable rate.

Debugging MATLAB Code

Debugging MATLAB Code based on a Flowchart provided. I have written the code however it's running continuously without termination. So i just need someone to compare the code to the flow chart.

Fitting measured data to a model (Cole-Cole model)

I need some code written for a project in Matlab. I have measured dielectric data, with each CSV containing three columns (frequnecy, real component and imaginary component of dielectric data). I am trying to fit this data to a function, called the Cole-Cole model. I have attached a small discription of the model and what a previous research paper has said about the fitting method (although it is just a summary and not an indepth description). The top equation in the attachment is the cole-cole model, and the parameters that need to be found by the fitting function are underlined in blue. Would you be able to help? Thank you

Colourisation of LiDAR Point Clouds Using Panoramic Images

We are seeking a skilled professional to assist with the colourisation of LiDAR point clouds. Our dataset consists of a series of LiDAR scans captured from a moving vehicle at 8-meter intervals. Each scan is accompanied by panoramic images captured using a LadyBug5+ camera. The objective of this project is to accurately colourise the LiDAR data using the associated panoramic images. Project Details 1. Data Description: - LiDAR Scans: Captured at 8-meter intervals from a moving vehicle. - Panoramic Images: Captured simultaneously with LiDAR scans using a LadyBug5+ camera. 2. Scope of Work: - Integration of LiDAR and Image Data: Efficiently align the LiDAR scans with the corresponding panoramic images. - Colourisation: Apply the colours from the panoramic images to the corresponding points in the LiDAR point clouds. - Accuracy and Quality: Ensure high accuracy in the colour mapping to maintain the integrity and quality of the visual representation. 3. Requirements: - Technical Expertise: Proficiency in handling LiDAR data and panoramic imagery, with experience in data alignment and colourisation techniques. - Software Skills: Familiarity with relevant software tools and programming languages for processing LiDAR and image data (e.g., MATLAB, Python, CloudCompare, etc.). - Attention to Detail: High attention to detail to ensure accurate and visually appealing results. - Project Timeline: We predict the work involved in this project to take no more more than two hours and are looking to have this completed by 28/06/24. Please do not respond to this project if you are unable to complete the work in this time. 4. Deliverables: - Colourised Point Clouds: Fully colourised LiDAR point clouds in a commonly used format (e.g., PLY, LAS). - Documentation: Detailed documentation of the process, including any scripts or code used for the colourisation. 5. Budget: - $25 per hour, max 2 hours 6. Additional Information: - Sample data can be provided upon request for evaluation and initial assessment. - Continuous communication and updates throughout the project are expected to ensure alignment with project goals and timelines. - EULA to be signed ahead of starting the project. This will be sent via adobe sign for signing. Submission: Interested professionals or teams are requested to submit their proposals including: - Relevant experience and previous projects. - Detailed methodology for colourising LiDAR point clouds. - Estimated timeline and cost breakdown. - Any additional information or suggestions to enhance the project outcome. We look forward to collaborating with a talented professional or team to achieve high-quality colourised LiDAR point clouds. Thank you.

Intelligent Systems

It is a project that consist of 2 parts: - Writing abstract, introduction and literature review of the chosen application domain. - Writing up the experimental results, highlighting your analytical skills and interpretation. Furthermore, you should conclude on the circumstances where the model did not succeed and provide reasons for its shortcomings. Additionally, it's crucial to address the ethical, societal, and legal implications associated with the technology in use. The second part should be done using MATLAB, so I need someone who has an idea how to use it. I am aware the description above does not say much, so I recommend to read uploaded document. The price is definitely negotiational.

Matlab Help

Replicate two examples of Back testing Investment strategies BELOW with data that will be PROVIDED separately. The data will require some manipulation as it will not be exactly the same format as the examples. https://www.mathworks.com/help/finance/backtest-investment-strategies.html https://www.mathworks.com/help/finance/backtest-investment-strategies-with-trading-signals.html We need to build (i) a new weight function that will be described separately; (ii) Incorporate the portfolio object in the investment strategies example #1 from example #2(trading signals); (iii) Organize the data / code such that it can be easily used for (iii-a) optimization set-up or ML or deep learning; (iii-b) changing weights and signals ; (ii) Establishing data store/database and potential other on-going refinements. Thanks for your help.

Matlab simulation of an ETIC for a fractional order system.

Matlab simulation of an event-triggered impulsive control (ETIC) for a fractional order system: A fractional order system is a mathematical model that represents a system with non-integer order parameters. It is widely used in various fields such as physics, engineering, and biology to describe systems that are not completely linear and exhibit complex behavior. In this project, we will simulate an event-triggered impulsive control (ETIC) for a fractional order system. Event-triggered impulsive control is a control strategy that combines the benefits of traditional control theory with the advantages of impulsive control. It is particularly useful for systems that are sensitive to delays and have non-linear dynamics. In ETIC, a controller is designed to trigger an action at a specific event, such as the occurrence of a disturbance or the reaching of a threshold. This action is then used to adjust the system's state and control its behavior. The fractional order system that we will simulate is modeled using the Caputo fractional derivative, which is a well-known method for modeling non-linear systems. The system's dynamics (without control ) are defined by the following differential equation: D^{q}x(t)=f(t,x), x\in R^3, q\in(0,1), in our case q=0.81 .

MATLAB code helping

I'm in need of a skilled professional with experience in developing MATALB code. For this project, the MATLAB code has to be fixed. The freelancer must have: - Proficiency in MATLAB

Need MATLAB expert for coding

I am looking for talented Matlab developer to assist with creating code for a file attached and the work is on delay differential equations. The initial part of the file has already been written, and we now require an expert in Matlab to implement the necessary code. The successful candidate will have a solid understanding of delay differential equations and neural networks and will be proficient in Matlab programming. The main responsibilities will include translating the theoretical concepts into functional code, conducting thorough testing, and ensuring the accuracy and efficiency of the implementation. This is a great opportunity for someone with expertise in Matlab and a strong interest in research and neural networks.

Need MATLAB coding expert

I am looking for talented Matlab developer to assist with creating code for a research article (already published) on delay differential equations. The initial part of the paper has already been written, and we now require an expert in Matlab to implement the necessary code. The successful candidate will have a solid understanding of delay differential equations and neural networks and will be proficient in Matlab programming. The main responsibilities will include translating the theoretical concepts into functional code, conducting thorough testing, and ensuring the accuracy and efficiency of the implementation. This is a great opportunity for someone with expertise in Matlab and a strong interest in research and neural networks.

Seeking a Passionate MATLAB Expert

I need a MATLAB expert to assist me in generating the force from a prosthetic arm that utilizes whiffle tree mechanisms for finger actuation. This job is for an expert with a deep understanding of mathematical modeling, control systems, simulation, and hardware integration, and you are passionate about improving prosthetic arm technology.

opportunity

Advanced Algorithm Development and Data Analysis

We are looking for a highly skilled MATLAB Expert to join our team. You will play a key role in developing advanced algorithms, performing data analysis, and tackling complex mathematical challenges using MATLAB. The ideal candidate should have a solid background in mathematics and computer science, along with extensive experience in MATLAB programming and optimization techniques. Strong problem-solving abilities, attention to detail, and the flexibility to work independently or as part of a team are essential. If you are passionate about using MATLAB to drive innovation and contribute to cutting-edge projects, we invite you to join us and make a significant impact with your expertise.

MATLAB Expert needed

We are seeking a highly skilled MATLAB Expert to join our team. As a MATLAB Expert, you will be responsible for developing and implementing advanced algorithms, conducting data analysis, and solving complex mathematical problems using MATLAB. The ideal candidate will have a strong background in mathematics and computer science, with extensive experience in MATLAB programming and optimization techniques. You should possess excellent problem-solving skills, attention to detail, and the ability to work both independently and collaboratively.

opportunity

MatLab coding task available

We are currently in need of an experienced Matlab coder who can provide urgent assistance for multiple projects. We are looking for a candidate who has strong proficiency in Matlab coding and can handle various tasks with ease. The ideal candidate should have extensive expertise in Matlab and be capable of quickly adapting to new challenges. It is crucial that they can deliver high-quality results within tight deadlines. Responsibilities for this position include rephrasing existing code, developing new programs, and other related tasks.

Experienced Matlab Coder for Multiple Projects

We urgently require the expertise of a skilled Matlab coder to support us with various projects. The successful candidate should possess substantial experience in Matlab coding, demonstrate proficiency in handling diverse tasks, and consistently deliver outstanding results within tight timelines. Responsibilities will encompass code modification, program development, and other related assignments. We highly value adaptability, strong problem-solving skills, and a dedication to achieving exceptional outcomes.