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    4,182 quantum neural network matlab jobs found, pricing in INR

    I am looking for someone with Python expertise who is able to configure different paradigms with ease. Requirements: - Knowledge of Brain-Computer-Interfaces

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    I am looking for someone with Python expertise who is able to configure different paradigms with ease. Requirements: - Knowledge of Brain-Computer-Interfaces

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    12 bids

    I am looking for someone with Python expertise who is able to configure different paradigms with ease. Requirements: - Knowledge of Brain-Computer-Interfaces

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    ...begging) and an aproximative profit/loss based on how much the user wants to invest. Technologies that I need: AngularJS, NodeJS, Javascript, MongoDB, Astah Community, ML, Neural Networks(optional but would be a big plus), XML data files import, Website parsing, prediction algorithms, profit/loss automatic calculation. I would also need a brief documentation

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    I have 3 networks based on keras include autoencoders models and discrimintive model. I need to sreach the parameters of these networks using grid sreach. I'd like you to exrend my code with grid sreach. More detailes can be provced. It should be deliverd within one day as this task is not complex.

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    ...retrieve particle size distribution and complex refractive index simultaneously by optical spectroscopy. Group need to solve the inverse problem using Machine learning, AI, Neural Network and Swarm optimization algorithms. It’s better to mentioned that algorithms should be innovative or modified based on limitations of existing optimization algorithms.

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    Research writing 4 days left

    The theme of my thesis project is "MSK/MFSK demodulation based on Neural Networks" works which need to do: use non coherent and coherent detection to demodulate MSK and MFSK ; use different neural networks to demodulate MSK and MFSK ; and compare their SER(signal error rate) performance. all calculations need to do by mathlab.

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    Company name is Quantags, it is a composition of Quanta and Tags Quanta is the plural of Quantum which is the minimum amount of any physical entity. Tag(s) is a keyword assign to a piece of information. Quantags is a company in the construction industry which engaged in database and data driven innovation. Requirements: We want the Logo to be

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    Refer to existing open source [login to view URL] ... It seems the current version doesn't handle negative values properly. When training, the output values never go negative, even for the negative target values in the training data. *** Deliverable 1 *** Find and correct the error in the code. Use the [login to view URL] data provided in the repository to demonstrate correct behavior....

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    I want to learn about following subjects: 1- Data profiling 2- Azure machine learning 3- R and python programming 4- Cognitive services 5- Neural network by doing practice hands on projects. If you experience and are interested so contact me. I can pay 5 dollars pr hour.

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    ...prefer to employ someone familiar with working on YouTube channels. The channel is called "Ultra Tech" and I want the following work doing: Please refer to this video from "Quantum Tech HD": [login to view URL] My channel will be about technology / new inventions / clever ideas so the branding needs to be sharp and reflect this. Please provide

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    - Use the existing neural network and implement them on my own data set - Aim is to detect the bee species - Preferably within 3 days -I have the data set in a form of images. -Treat the project as it is starting from scratch -Provide the full source code and instruction on how to install them -The code should be reproducible on my device

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    ...com/DmitryUlyanov/deep-image-prior PNG optimisation [login to view URL] Smart cropping [login to view URL] Enhancing [login to view URL] Matting: A [login to view URL] Matting: B [login to view URL] --------- They need to work in

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    I want to summarize a project report to be fit in 6~8 pages to publish it as a paper (ieee format). The project is scientific (computer science). It’s about mobile app and neural networks. I also want to REPHRASE the sentences as much as possible for the sake of passing plagiarism check. Document size = 40 page, 1.5-line spacing, 12-font size

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    Your job will be to set up an experiment for a simple (but novel) idea for a neural network application. The first stage will be to set up some configuration for fast training of a large data set. E.g. one of those here: [login to view URL] You'll choose one of these and set it up to run on a single local machine using its GPU.

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    ...solution scheme by taking advantage of the global network view of SDN. We will collect 4 load features from each transmission path. These features are bandwidth utilization ratio, packet loss rate, transmission latency and transmission hops. By using this 4 load features, BP Artificial Neural Network model is trained to predict the integrated load for

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    Require someone who can take care of Front-end of some of our offerings built in python/django. Person should have knowledge of AI/Neural Networks and React.js PS: This is a full time work. Looking for a full time employee. Agencies/companies, kindly do not bother.

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    We are looking for talented freelancers with experience in machine learning and creating neural networks. Creating a model for forecasting commodities prices on the Malaysian stock. will provide further details in chat

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    problem is output from matlab and arduino different (she want it same) So don’t know how do result between matlab nntool and output arduino same.

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    ...it in particle accelerators, such as that at CERN in Geneva. Looking at the remarkable prediction of antimatter and how it grew from the meeting point of relativity and quantum theory in the early 20th century, at the discovery of the first antiparticles, at cosmic rays, annihilation, antimatter bombs, and antiworlds, Close separates the facts from

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    Currently, the EFKO Department of the Long-Term Planning Director is implementing a project to build model...models for predicting world stocks prices for agricultural products using the capabilities of artificial intelligence and neural networks. We are looking for talented freelancers with expirience in machine learning and creating neural networks.

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    ...com/luanfujun/deep-photo-styletransfer (the neural network for the synthesis of textures) and [login to view URL] (neural network for interpolation) The final program should: 1. Combine 2 texture styles, using deep-photo style transfer, interpolate using the 2nd neural network. 2. Apply this texture to the selected 3D model

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    Hi Quantum Webtech, I noticed your profile and would like to offer you my project. We can discuss any details over chat.

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    I need a python script for forecasting outputs with a given input set of data provided in JSON format, using an artificial neural network and gradient descent backpropagation algorithm with momentum. Json data looks like the following (example): [ { "field_1":"Text 1" , "field_2":"Text 2" , "field_3":"Text 3" ...

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    Covert time series 1D data to 2D image code in Matlab or Python as input to Convolutional neural network for power prediction and calculate mse Data will be provided

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    Covert time series 1D data to 2D image code in Matlab or Python as input to Convolutional neural network for power prediction and calculate mse Data will be provided

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    ...functionality and speed. ***EDIT NEWLY ADDED INFORMATION*** Looking for an IOS developer that has an understanding of current :- 1) Visual Imagery Recognition (Convolution Neural Network), 2) Voice Command Recognition (like Siri / OK google) and 3) 3D Touch technology, specifically for the Iphone 6 & 6s that have this technology in them. We are looking

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    I need a logo designed.

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    I have data which I would like to be analysed using Neural Networks.

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    I want to use neural networks to identify a set of basic activities in an indoor environment. i have the datasets which a public. I want to use a combination of Convolution Neural Networks and Long Short Term Memory Neural Networks to identify it. The aim is to get a good identification score.

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    I have used Neural networks to train a model to predict electric load demand, wind speed and solar irradiance. I need to create a GUI that would ask the user to input few parameters like date, time and temperature and the model brings up the forecasted result based on the input.

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    I need a program that takes a specific data from a given source and then should make predictions. For more details please contact me.

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    It was determined that the wind power potential and electricity demand remain at their peaks during the summer. An artificial neural network and a genetic algorithm-based hybrid prediction model was also developed for one-month ahead wind power density. The results of the prediction model demonstrated reasonably high prediction accuracy

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    I need a neural network that can write unique reviews for businesses. Sample Task: 1. Generate a review for a restaurant or hotel. Requirements: 1. There should be no errors with the names of other businesses.

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    I have about 6 pages draft about machine learning and neural networks. It should be rewritten using professional scientific language.

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    ...taking advantage of the global network view of SDN. We will collect 4 load features from each transmission path. These features are bandwidth utilization ratio, packet loss rate, transmission latency and transmission hops. By using this 4 load features, BP Artificial Neural Network model is trained to predict

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    ...performing online actions as directed—from maintaining our and developing our tools and platforms, to taking code tests, as well as conceptualizing and implementing solutions to our neural-net driven job portal, and more. Qualifications • 1+ years of professional experience working in the information technology industry • 1+ years of agency experience • A strong

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    ...performing online actions as directed—from maintaining our and developing our tools and platforms, to taking code tests, as well as conceptualizing and implementing solutions to our neural-net driven job portal, and more. Qualifications • 1+ years of professional experience working in the information technology industry • 1+ years of agency experience • A strong

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    Get URL and Private Mode in Firefox Quantum (and previous version) in Windows signature: get_firefox_url( ) return value: A string with full URL: Examples: https:www.freelancer.com or http:www.freelancer.com or empty is not available or some error code in case of error. Note 1: This function could optionally receive the process that belongs to Firefox

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    ...performing online actions as directed—from maintaining our and developing our tools and platforms, to taking code tests, as well as conceptualizing and implementing solutions to our neural-net driven job portal, and more. Qualifications • 1+ years of professional experience working in the information technology industry • 1+ years of agency experience • A strong

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    I am performing time series classification using accelerometer...try: 1. Trying hyperparameter optimization changing the parameters such as learning rate, number of hidden layers etc. 2. Come up with a feature to train deep learning neural network. The rar file having the Code having the problem is [login to view URL]

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    Hi  I am doing my dissertation in iris recognition, i will build the system using neural network algorithm, i will need someone to write abtract intro and literature review without methodology how much you can do that and the time needed to finish it. The work need to be plagiarism free as you know. I can provide some similar papers with same topic

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    I need a deep learning neural network model which predicts the human lip movement in Arabic language. Here is the link which predicts in English:- [login to view URL]

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    Am looking for software defined network (sdn)developer expert ,,, I need to implement Load Balancing Approach for Finding Best Path in SDN. By using artificial neural networks. We collect 6 load features from each transmission path. These features are bandwidth ratio, hop count, latency, packet overhead, trust and packet loss . By using this 6 load

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    ...mathematical  logic, together with traditional machine learning (no neural networks  and deep learning).  Moreover, in order to have an impact, advanced programming abilities,  such as python using numpy, scipy, pandas, and rdflib to interact with  triple stores, or equivalently in Java/Matlab are strongly advised.  Finally, as human users will be t...

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    to upgrade DCS system which has SCADA Schneider pack32 to ifix. ifix and scheider quantum knowledge required

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    ...skill: Keras Skill Description: Keras is an open source neural network library that is written in the Python language. It should be noted that it is capable of running on top of other frameworks/software libraries, such as Microsoft Cognitive Toolkit, TensorFlow, and Theano. Keras as a neural network helps to optimize a lot of functions, and is used to

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    ...Balancing Approach for Finding Best Path in SDN. By using artificial neural networks. We collect 6 load features from each transmission path. These features are bandwidth ratio, hop count, latency, packet overhead, trust and packet loss . By using this 6 load features, BP Artificial Neural Network model is trained to predict the integrated load for different

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    ...Balancing Approach for Finding Best Path in SDN. By using artificial neural networks. We collect 6 load features from each transmission path. These features are bandwidth ratio, hop count, latency, packet overhead, trust and packet loss . By using this 6 load features, BP Artificial Neural Network model is trained to predict the integrated load for different

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    implementation of Machine learning algorithms such as Decision trees, Linear Regression, and neural-net for License Plate Recognition and compare the performance.

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