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    696 h2m gaussian työtä löytyi, hinnoittelu EUR

    I am seeking a developer to complete a WebAR viewer that uses models in .splat format. This is a proof of concept rather than a commercial product. I have had the viewer made already but it isn't functioning properly. There is sliding of the model against the background (passthrough) and it doesn't feel locked in space. There are three things that I want to achieve in three milestones: 1. Stop it sliding 2. Have a button VR/AR button that swaps between this mode (AR) and a VR mode where it is against black and you use your fingers to rotate it, zoom in etc. 3. Have it cast a shadow on the real world when in AR mode. I will need to be able to swap out the model although this should be done within 8th wall or Glitch or similar rather than in the app itself. Please note: This i...

    €792 (Avg Bid)
    €792 Keskimäär. tarjous
    17 tarjoukset

    I'm currently seeking a skilled computational chemist to assist with an ongoing project. Here are the main tasks and requirements: - Experts in Gaussian/orca software, as this is the preferred tool for our molecular modeling work. - Experience in molecular modeling tasks, particularly with intermediate complexity structures. - Knowledge in creating, manipulating, and analyzing chemical structures is a must. - Ideally, a background in computational chemistry or a related field is needed. Your task will primarily involve performing density functional theory calculations to understand the interactions between heavy metal ions and a synthesised adsorbent.

    €48 (Avg Bid)
    €48 Keskimäär. tarjous
    17 tarjoukset

    Aplicacion y animacion del scan de una torre con tecnica Gaussian Splatting + Optimizacion y exportacion del scan de monasterio.

    €70 (Avg Bid)
    €70 Keskimäär. tarjous
    1 tarjoukset

    I'm seeking an expert in Python to develop a sophisticated classifier that can distinguish between blurred and non-blurred images with precision. The classifier needs to detect various blurring techniques with high accuracy, especially: - Gaussian blur - Motion blur The goal is for the classifier to achieve above 90% accuracy. To successfully bid on this project, you'll need: - Proficiency in Python - Experience with image processing - Knowledge in using machine learning libraries (e.g., TensorFlow, Keras) - Understanding of computer vision and image classification algorithms If you can demonstrate past projects where you've achieved similar results, that would greatly enhance your proposal. I'm looking forward to working with a detail-oriented and performanc...

    €196 (Avg Bid)
    €196 Keskimäär. tarjous
    28 tarjoukset
    Gaussian process Loppunut left

    ...primary aim of my project is to leverage the Gaussian process - specifically using the radial basis function kernel - to determine optimal parameters in the context of gene expression time course data. Ideally, freelancers bidding for this project should possess: - A strong understanding of Gaussian processes, with particular emphasis on using the radial basis function kernel. - Demonstrable experience in working with gene expression time course data. - Familiarity with the nuances involved in parameter optimisation, especially in a data-focused setting. The end goal is to not only make accurate future predictions but also to estimate the degree of uncertainty linked with every prediction made. Your role will essentially involve crafting a Gaussian process mode...

    €96 (Avg Bid)
    €96 Keskimäär. tarjous
    9 tarjoukset

    I'm in search of a skilled freelancer or tutor proficient in linear algebra, specifically for a college-level course. Fluent Arabic speakers or individuals from Egypt are preferred for ease of communication. The course will cover extensive topics, including: Chapter 1: Systems of Linear Equations 1.1 Introduction to Systems of Linear Equations 1.2 Gaussian Elimination and Gauss-Jordan Eliminations Chapter 2: Matrices 2.1 Matrix Operations 2.2 Properties of Matrices 2.3 Matrix Inverses 2.4 Elementary Matrices Chapter 3: Determinants 3.1 Matrix Determinants 3.2 Determinants and Elementary Operations 3.3 Determinant Properties 3.4 Determinants' Practical Applications Chapter 4: Vector Spaces 4.1 Vectors in Rn 4.2 Vector Spaces 4.3 Subspaces within Vector Spaces 4.4 Spanni...

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    €9 / hr Keskimäär. tarjous
    30 tarjoukset

    I have a Digital Elevation Model (DEM) in geotiff format...Geographical Information Systems (GIS) to carry out some specific tasks. Requirements: - Conduct a Gaussian Test on the DEM using either RStudio or ArcGIS - Proceed to a Gaussian Transformation on the DEM - Deliver the output in medium-resolution Geotiff format Deadline & Delivery: - Complete all tasks within a month. Timer starts from the point of project assignment. Ideal Candidate: - Proficient in working with RStudio or ArcGIS - Solid grasp of Gaussian Test and Gaussian Transformation - Proven experience with Digital Elevation Models. - An understanding of Geotiff format - Ability to deliver a medium-resolution output. Your bid will be stronger if you provide proof of past DEM work with ...

    €53 (Avg Bid)
    €53 Keskimäär. tarjous
    7 tarjoukset
    Photoshop Work Loppunut left

    ...on the social advertising and landing page creative. Make sure to show your work on the effects as layers, name the effects accordingly:  Demonstrate one or more of the following techniques: liquify, masking, colour correction/colourizing elements, background/object removal (e.g., Magic Wand, Layer Masking, Quick Selection, etc.), layer effects (e.g., Multiply, etc.), Photoshop Effects (e.g., Gaussian Blur, etc.)Images should be like these type showing marathon and tesla car .. it should be look alike real type Must use these effects after choosing the image that you will use ...images take 2 images and edit them like Some type of changes to show difference and all those should be in one file In this you have to take 2 images of tesla car showing marathon after editing th...

    €10 (Avg Bid)
    €10 Keskimäär. tarjous
    26 tarjoukset
    Writing Python code Loppunut left

    Writing Python code (by colab) 9 Models: 1-Decision Tree Classifiers 2-K-Nearest Neighbors 3-Gaussian Naive Bayes 4-ANN 5-SVC 6-LogisticRegression 7-RandomForest Classifier 8-AdaBoostClassifier 9-XGBoost) the link to the dataset will be sent later.

    €22 (Avg Bid)
    €22 Keskimäär. tarjous
    64 tarjoukset

    ...optimization techniques and differences (gradient decent variants, hyperparameter tuning, regularization) - Some experience with different problems and domains, ideally specialized in at least one (supervised, unsupervised, generative, control/RL, anomaly detection, timeseries, etc.) - Familiarity with a couple of traditional ML models (k-means, KNN, decision trees, SVM, Bayesian/graphical models, Gaussian process, etc.) - Basic understanding of deep learning fundamentals (CNN, RNN, attention/memory, Autoregressive) and ideally some applications of extensions (Transformer, LSTM, ResNet, etc.) - Experience coding with popular frameworks - Solid with Python (basic data structures, coding patterns) along with common data, math and visualization libraries - Able to work in different ...

    €32875 (Avg Bid)
    €32875 Keskimäär. tarjous
    13 tarjoukset

    Objective: The primary goal of this project is to implement Convolutional Neural Networks (CNN) for pre-processing in an existing MATLAB code. This code is based on a Gaussian Mixture Model (GMM) as described in the source paper. Tasks: Review the existing MATLAB code and the source paper: Familiarize yourself with the current implementation and the scientific background. Implement CNN for Pre-Processing: Modify the existing MATLAB code to include CNN-based pre-processing. Classification and Comparison: After implementing CNN, run the classification and compare the results with the current version of the code. Deliverables: Send me the modified MATLAB code along with the classification results. Future Work: This is an initial phase of a larger project. If this task is successful...

    €172 (Avg Bid)
    €172 Keskimäär. tarjous
    5 tarjoukset
    UE5 plugin Loppunut left

    ...expertise in Unreal Engine 5, 3D Gaussian Splatting, drone technology integration, and the ability to compare 3D models with BIM (Building Information Modeling) models? We have an exciting opportunity for you! We are in search of a talented individual who can lead a groundbreaking project. The goal is to utilize 3D Gaussian Splatting technology within Unreal Engine 5 to automate the monitoring of daily building site progress using drones and compare drone views with BIM models. We envision a system where the progress can be effortlessly viewed by simply opening the simulation for any given day. Requirements: Proficiency in Unreal Engine 5, with a proven track record of creating and optimizing 3D environments and simulations. Strong expertise in 3D Gaussian...

    €10097 - €20195
    Sinetöity Salassapitosopimus
    €10097 - €20195
    16 tarjoukset
    Trophy icon Ion channelling 3d studio artwork Loppunut left

    ...q=tbn:ANd9GcSJzEuO4F0UyN8-Z_gT_6iTjOQeFrtFcg8f3g&usqp=CAU :ANd9GcRfgZqMVrAk-t0B5EbjVXl29G7u3Qp3dN_7Wp35TQM4Jgf9svDge-usUNITgA_B9W7YwTg&usqp=CAU https://slidesplayer.org/slide/12977053/79/images/12/7.1.3+Ion+channeling.+%E2%80%A2+Gaussian+%EB%B6%84%ED%8F%AC%EC%9D%98+projected+range+%EA%B7%B8%EB%A6%AC%EA%B3%A0+straggle%EC%9D%80+amorphous+%ED%98%B9%EC%9D%80+

    €70 (Avg Bid)
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    €70
    52 työtä

    I need an expert in R programming with good knowledge in Geostats who can compare interpolation methods and build models, conduct and compare methods like IDW, GIDS, Ordinary Kriging and Universal Kriging, Absolute estimation error (AEE), Natural Neighbor method (NNI), Fixed Kriging (FRK), Gaussian process, Deep Map,etc. i have the dataset that i will provide to work with this...i need someone with good experience , if truly you read my details, write (i know this) at the beginning of your proposal

    €77 (Avg Bid)
    €77 Keskimäär. tarjous
    9 tarjoukset
    Linear Algebra -- 2 Loppunut left

    I am seeking a freelancer who has expertise in Linear Algebra, specifically in the topics of matrices, Gaussian elimination, and transpose. The problems that I need help with are at an intermediate level of difficulty. I am looking for a step-by-step written explanation of the solutions. The ideal candidate should have a strong background in mathematics and experience in teaching or tutoring Linear Algebra.

    €13 (Avg Bid)
    €13 Keskimäär. tarjous
    101 tarjoukset

    Tasks: 1. Fit data in to Gaussian Naive Bayes. Use all the data for fit 2. Use to test the fitted model. 3. Output two files - one for the fitted model and one for the test data. 4. Format of the output is in and 5. Do all the work using Python and sklearn library 6. Write simple code Once I am satisfied with this task, I will post a separate job for you to do the samething with Decision Trees Multinomial NB KNN Logistic Random Forest

    €22 (Avg Bid)
    €22 Keskimäär. tarjous
    6 tarjoukset

    i need algorithm with technical writing More details: I'm looking into 5 types of curve fitting method 1- Gaussian curve fitting 2- Voigt fitting 3- cross-correlation 4- Polynomial Fitting into all spectrum 5- centroid gravity

    €122 (Avg Bid)
    €122 Keskimäär. tarjous
    20 tarjoukset

    I have a dataset and I would like it to be created in Python 4 standard deviation levels above and 4 below the last value based on history.

    €27 (Avg Bid)
    €27 Keskimäär. tarjous
    16 tarjoukset

    i can share my requirements basically KLT point-tracking algorithm. Stereo correspondences are found using an optimized block-matching algorithm using the normalized cross-correlation metric. These disparity values are used to triangulate two-point clouds at successive steps in frames, after which a weighted least-squares pose estimation algorithm is run to ...requirements basically KLT point-tracking algorithm. Stereo correspondences are found using an optimized block-matching algorithm using the normalized cross-correlation metric. These disparity values are used to triangulate two-point clouds at successive steps in frames, after which a weighted least-squares pose estimation algorithm is run to estimate the pose change between timesteps. A multivariate gaussian anomaly detection...

    €115 (Avg Bid)
    €115 Keskimäär. tarjous
    9 tarjoukset
    Data Science Loppunut left

    Implementing PageRank, Gaussian Mixture Models, Boxes and Balls Model, Backward Algorithm, Viterbi algorithm, Theory in Hidden Markov Model.

    €130 (Avg Bid)
    €130 Keskimäär. tarjous
    23 tarjoukset

    I am looking for an Excel expert who can create a Normal Distribution Chart for my data. The chart should have the following features: I have an excel file that I need to make Normal/bell/gaussian Distribution curve for. Columns from A to M are just general information about my test specimen, and column W is their actual results. the lower limit for the specimen is in column N, the upper limit is in column O, and the aim is in column P. So, the results will be acceptable if the value in W is between N and O. the graph should be dynamic when filtering column E "Steel Grade". Meaning, when filtering a steel grade, its corresponding normal distribution curve should appear. The area under the curve should be filled, and a vertical line from the lower limit, upper limit, and a...

    €24 (Avg Bid)
    €24 Keskimäär. tarjous
    15 tarjoukset

    design of a portable visual odometry system that utilizes a feature-based stereo visual odometry, with IMU assistance. The focus is on developing a...frames using a KLT point-tracking algorithm. Stereo correspondences are found using an optimized block-matching algorithm using the normalized cross-correlation metric. These disparity values are used to triangulate two-point clouds at successive steps in frames, after which a weighted least-squares pose estimation algorithm is run to estimate the pose change between timesteps. A multivariate gaussian anomaly detection algorithm is used to reject outliers due to poor matching or moving objects. Finally, a Kalman filter is exploited to enforce a constant-acceleration dynamic model on the cameras, and fuse IMU data for better attitude e...

    €133 (Avg Bid)
    €133 Keskimäär. tarjous
    15 tarjoukset

    Make a model of the mechanical linkage for the backhoe of a caterpillar digger in matlab (shown in photo). Write a matlab script to describe the performance of the...caterpillar digger in matlab (shown in photo). Write a matlab script to describe the performance of the digger arm carrying out a normal digging movement and to analyse the angles of the members. Base this analysis on closure equations. Do not try to solve the system analytically but express as a system of non linear static equations and solve these numerically. Don't use the cosine rule. Employ Gaussian elimination with pivoting. Also employ an iterative method like gauss seidel. Then produce a 3D animation of the model in matlab by employing a number of patch graphics objects and employing the animation facilitie...

    €130 (Avg Bid)
    €130 Keskimäär. tarjous
    26 tarjoukset

    ...This theory is known as compressed sensing or compressive sampling and a wealth of theoretical insight has been gained for signals that permit a sparse representation. In this paper, the proposed study introduces undertermined BSS algorithm with unifying frequency texture pattern and sparse representaion by using a compressed sensing model. First, to eliminate the infuence of additive white Gaussian noise, a wavelet transform with tunable Q-factor is used as noise reduction pretreatment. Second, to obtain an accurate mixing matrix estimation, a blind identifcation method is designed by identifying single source data. Third, to fnd the best dictionary to represent the training signals, an arbitrary subset of codewords and the corresponding coefcients are updated simultan...

    €7 - €11
    €7 - €11
    0 tarjoukset

    ...various orientations and positions within the image. 2. Image cropping: Once the car is detected, the software will crop the image to a uniform size, ensuring that the car takes up a consistent portion of the image. The cropping will be done in such a way that the car is centered and fills the majority of the image. 3. Background blurring: After cropping, the software will apply a photo-realistic Gaussian blur to the background of the image. This will be done in such a way that the car remains in focus while the background is blurred, giving the impression of a shallow depth of field. 4. Output: The final output will be the image with the car in focus and the background blurred. The output image will be saved in the specified format( JPEG, PNG, etc) Note: The software should be ...

    €688 (Avg Bid)
    €688 Keskimäär. tarjous
    35 tarjoukset

    ...decimal places. The mean of the numbers in Column A should be 131, and the standard deviation should be 74. It is required that the distribution of the 22 numbers be Gaussian and not skewed, and it is mandatory to present evidence of this. Only positive numbers should be used. You can use any number ranging from 30 to 300. Column B should contain 22 numbers with a mean of 136 and a standard deviation of 78, derived from Column A without simply augmenting each number in a uniform manner. Column C must have a mean of 29 and a standard deviation of 13, with the 22 numbers. It is required that the distribution of the 22 numbers be Gaussian and not skewed, and it is mandatory to present evidence of this. You can use any number from 10 to 70. Lastly, Column D must have a mea...

    €28 (Avg Bid)
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    €28
    24 työtä

    ...idea is for a Bitcoin indicator that compounds multiple indicators into one score per day, and puts all the detail on one simple moving line chart based on that daily score. Calculated daily, but not just using daily indicators, some 2 day, some 5 day, some weekly, some monthly indicators. The longer term indicators would use the most recent signal as the score for the day. Example: The 5 Day Gaussian channel would show the score based on the most recent updated indication. This will be the score until the 5th day ticks over again and gives a new score. I am not sure of how a tradingview indicator usually works. I would prefer that the data automatically exports to a google sheet or excel each day that I have control over, so that I have the data externally saved. And from t...

    €395 (Avg Bid)
    €395 Keskimäär. tarjous
    16 tarjoukset
    DRDUCV-case study Loppunut left

    The main objective of this method is to detect D...blindness detection in patients before its too late. Eye retina images contain artifacts, some of them are out of focus, underexposed, or overexposed etc. Also, some of the images have low brightness and low lightning conditions thus making it difficult to assess the difference between the images. First we do image preprocessing by applying Gaussian blur to bring out distinctive features in the images. In Gaussian Blur operation, the image is convolved with a Gaussian filter which is a low-pass filter that removes the high-frequency components . Then convert the RGB scale images to Gray scale images and circular cropping from gray scale images is used. After applying some image augmentation, model architecture is used....

    €70 (Avg Bid)
    €70 Keskimäär. tarjous
    7 tarjoukset
    DRDUCV-CaseStudy Loppunut left

    The main objective of this method is to detect D...blindness detection in patients before its too late. Eye retina images contain artifacts, some of them are out of focus, underexposed, or overexposed etc. Also, some of the images have low brightness and low lightning conditions thus making it difficult to assess the difference between the images. First we do image preprocessing by applying Gaussian blur to bring out distinctive features in the images. In Gaussian Blur operation, the image is convolved with a Gaussian filter which is a low-pass filter that removes the high-frequency components . Then convert the RGB scale images to Gray scale images and circular cropping from gray scale images is used. After applying some image augmentation, model architecture is used....

    €90 (Avg Bid)
    €90 Keskimäär. tarjous
    6 tarjoukset

    images data ( such as face recognition ) or audio signal such as ( voice ) data needs to be clustering to different groups using GMM

    €34 (Avg Bid)
    €34 Keskimäär. tarjous
    9 tarjoukset

    As a developer, I want to customize this plugin that is used to upload content in Wordpress: Features to implement: - Generate (additionally) a blurred version (gaussian blur) of each image uploaded to the post (backend of the plugin). - Add a shortcode to display the blurred images (the plugin has a shortcode that displays normal images). Example: Shows normal images: [user-submitted-posts] Shows blurred images: [user-submitted-posts showBlurredImages="true"] I need to have both versions of the images submitted by users: normal and blurred ones

    €47 (Avg Bid)
    €47 Keskimäär. tarjous
    15 tarjoukset

    design of a portable visual odometry system that utilizes a feature-based stereo visual odometry, with IMU assistance. The focus is on developing a...frames using a KLT point-tracking algorithm. Stereo correspondences are found using an optimized block-matching algorithm using the normalized cross-correlation metric. These disparity values are used to triangulate two-point clouds at successive steps in frames, after which a weighted least-squares pose estimation algorithm is run to estimate the pose change between timesteps. A multivariate gaussian anomaly detection algorithm is used to reject outliers due to poor matching or moving objects. Finally, a Kalman filter is exploited to enforce a constant-acceleration dynamic model on the cameras, and fuse IMU data for better attitude e...

    €186 (Avg Bid)
    €186 Keskimäär. tarjous
    11 tarjoukset

    Set up a Gaussian Blur on the current screens content/background of my drawings using DirectXTK lib starting from just a swapchain pointer.

    €27 (Avg Bid)
    €27 Keskimäär. tarjous
    2 tarjoukset

    Tasks (a) Implement a tridiagonal solver in Python. The function to implement must be called tri_solver, with input/output as described in the template. A tri-diagonal solver is a simplified Gaussian elemination solver that makes use of the banded nature of the matrix to reduce the amount of storage and computation required. We give you the following pseudo-code to get started: % Inpu t : % l ( 0 :N−1) −− a r ra y o f s i z e N c o n t ai ni n g low e r di a g o n al % u ( 0 :N−1) −− a r ra y o f s i z e N c o n t ai ni n g upper di a g o n al % d ( 0 :N) −− a r ra y o f s i z e N+1 c o n t ai ni n g main di a g o n al % b ( 0 :N) −− a r ra y o f s i z e N+1 c o n t ai ni n g the r i g h t hand s i d e . 3 % Output : a r ra...

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    €107 Keskimäär. tarjous
    14 tarjoukset

    The task at hand requires some programming skills and a basic understanding of m...center positions, length, and width of each rectangles. The shape of the objective is general, it could be images of digits, alphabets or simple objects like ones in the attached files. The script should be able to read an image and return the optimized length (a) and width (b) of the rectangles, their central position, and an indicator of how well the shape is approximated by the rectangles. Gaussian process regression (Bayesian optimization) is a suitable method to solve this problem. The code should be well-commented for easy understanding. After the code is written and tested by you, I will further test it to verify. Deliverable is a working code (python or Matlab) that does what it suppos...

    €19 (Avg Bid)
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    4 tarjoukset

    Se requiere customizar un plugin que sirve para subir contenido en Wordpress (submit posts). Funcionalidades a implementar: - Generar (adicionalmente) una versión blurreada (gaussian blur) de cada imagen subida al post - Agregar un shortcode para mostrar las imágenes blurreadas (el plugin cuenta con un short code que muestra las imágenes normales)

    €23 (Avg Bid)
    €23 Keskimäär. tarjous
    8 tarjoukset
    Trophy icon Restore photo Loppunut left

    I need to restore one photo with 2 complicated faces (the 2 left faces). This foto is too old and the time crashes 2 faces. I need to restore it may as possible. This work cant be made with IA. I need to preserve quality and original color. No blur, gaussian or color effects. Thanks

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    €9
    48 työtä

    Looking for a retoucher to edit headshots for me on regular basics as I get clients co...process. I am looking for someone who will edit 3 headshots for me as a trail (paid). I'm looking for a price per image (headshot) and I would like to see a similar work you have done if you apply for this. If I don't see a link to a similar work in your offer I will decline your offer. I require high quality edits. Headshot retouching includes: -changing the background to pure white. -gaussian glow airbrush -spot removal, redness removal -spot healing etc -eye bags and shaddows - softening, brightening -doge and burn -hair removal -stray hair if needed -skin tone correction Examples of before and after attached. If you are better with skin tone correction than me, you are de...

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    59 tarjoukset

    A project wherein the requirement is to develop an algorithm to remove noise from satellite images. These are some of the images. It has the original image along with the image with added noises(salt and pepper, gaussian, speckle). The project will need novelty of some sort.

    €118 (Avg Bid)
    €118 Keskimäär. tarjous
    8 tarjoukset

    An algorithm in which as input there are 2 images and as output those images must be displayed with different noises one at the noises are: speckle noise with standard deviation (0.025) -Poisson noise with standard deviation (0.025) -Gaussian noise with standard deviation (0.025) -salt& pepper noise with standard deviation (0.025) The algorithm must have one class “Noise” or more that inherent this class.

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    19 tarjoukset

    Combining first-principles with machine learning algorithms for chemical and biochemical engineering applications, send me a message if you think you are expert in any type of physics-based machine learning (neural networks) or any other type like gaussian processes, Bayesian optimization, Kalman filters with understanding of numerical solvers/ODE and optimization. Please read these paper and if only you understand them and could apply similarly contact me:

    €134 (Avg Bid)
    Salassapitosopimus
    €134 Keskimäär. tarjous
    9 tarjoukset

    I have setupped everything and it's just some last steps to complete the project, you need to have good knowledge in Fourier optics Telecommunications engineering Gaussian modes and propagation Lenses

    €1032 (Avg Bid)
    €1032 Keskimäär. tarjous
    23 tarjoukset

    ...that we understand the basics of OMR, let’s build a computer vision system using Python and OpenCV that can read and grade bubble sheet tests. In our project , we combine 3 techniques: Building document scanner Sorting the outlines Perspective transform to get top-down view Python to Store the correct answer keys in a dict . Used Canny edge detection for detecting the edges in the document and Gaussian blur for reducing high frequency noise OpenCV has the way to get the top-down view of the image. Used that methodology to get the top-down view. Used Otsu’s thresholding method for thresholding. Determined the bubbles using the aspect ratio of approx one (1) for it’s bounding rect- angle. Used bitwise operations and masking to find the filled in bubble using th...

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    €37 Keskimäär. tarjous
    4 tarjoukset

    I would like to hire freelancer who has good knowledge on Artifical Intelligence and IEEE paper writing. Topics- Discrete Bayesian Networks Comparison of Inference and Structure Learning Algorithms Gaussian Discrete Bayesian Networks

    €236 (Avg Bid)
    €236 Keskimäär. tarjous
    7 tarjoukset

    ...could develop software in python. This work requires developing a software solution and writing a report. SOFTWARE SOLUTION The work requires to implement a software application in python to solve Medical Diagnosis problems by calculating probabilities of Stroke and Heart Disease from data. This work is bases on implementation and comparison of following algorithms: Discrete Bayesian Networks Gaussian Bayesian Networks Rejection sampling Likelihood weighting Gibbs sampling Conditional independent tests Network scores Hybrid algorithm REPORT A report of 3 pages (excluding references) using the IEEE template provided is required. This report should indicate and justify the methods used for implementing the tasks for above mentioned software solution. NOTE: KINDLY FIND ATTAC...

    €395 (Avg Bid)
    €395 Keskimäär. tarjous
    9 tarjoukset
    Naive Bayes Loppunut left

    Overview • Multinomial Naive Bayes (MultinomialNB). – The multinomial Naive Bayes classifier is suitable for classification with discrete features (e.g., word counts for text classifica...distribution normally requires integer feature counts. However, in practice, fractional counts such as tf-idf may also work. – • Gaussian Naive Bayes (GaussianNB). – Gaussian Naive Bayes supports continuous valued features and models each as conform- ing to a Gaussian (normal) distribution. – An approach to create a simple model is to assume that the data is described by a Gaus- sian distribution with no co-variance (independent dimensions) between dimensions. –

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    €31 Keskimäär. tarjous
    7 tarjoukset

    Programming in R, containing Laplace, Poisson processes and Gaussian.

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    34 tarjoukset