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Implementation of a proposed task scheduling algorithm in cloud computing simulation environment (CloudSim plus), or any other simulator eg: Matlab, where there is the provisioning of time slicing /time quantum for the tasks , where tasks with different arrival time and bus time are assigned to the scheduler according to the proposed algorithm, and the calculation of average TAT and WAT would be the resulting output. The scenario should have the following parameters Data Center Characteristics Data Center : OS Linux Data Center VMM : Xen Data Center Architecture : X86 VM Parameters Image Size 10,000 VM_MIPS 1000 Bandwidth 50,000 VM Number of CPUs 10 Ram 512 Cloudlet Parameters Cloudlet File Size 300 Cloudlet Output Size 300 Cloudlet Utilization (CPU, BW, Ram) Full Proposed algorithm fl...

Hello. freelancers. I am looking for one expert with full experience in data structure and algorithm field. If you are really expert only, please bid. To prevent auto bid, please add "I am not fool" in a sentence of bid. Good regards

OpenCV and occlusion order reasoning python project

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Data Scientist for a project is required for 2 months. ・Experience using Bayesian estimation pymc3 ・Experience with optimization (Monte Carlo method, etc.) ・Development experience (packaging the created model so that system engineers can use it) in Python ・Experience using linux environment/github/python/aws

I will be requiring someone who has a good hold on MATLAB as well as has knowledge in the field of - Wireless Sensor Networks (WSN) - Glowworm Swarm Optimization (GSO) - Fruit Fly Optimization Algorithm (FFOA). I already have the algorithm ready, just need help executing it on MATLAB.

Hello! I need a python tutor to teach me how I understand the problems and be able to write the code for answers. Thanks

Please refer this file and work on making an word document.

Given a matrix M and sub matrices N1，N2，.. Ni Retrieve the whole matrix by selecting T elements , Which satisfy (in priority) 1, No two elements in T will be a neighbor in all matrix N1,..Ni 2, The total distances among elements (or an area size) in T is as large as possible.

A simple model keras for classification

Some ODE and planar system to solve + PDE.

I need aditional hours for calculation and resolving algorithms.

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i want you to develop an EA that can open continuous orders of a set amount of pips (BUY OR SELL) using SMA LINE. i have attach a sample EA to explain what i mean about continuous orders based on set PIP movement. you just need to add SMA signal line to decide whether its BUY or SELL orders. INPUTS: SET PIP MOVEMENT AMOUNT: 200 (default, but can be changed to any amount) SET SMA: 20 (default but can be edited) TAKE PROFIT (TP): 200 (default but can be edited) LOT SIZE: 0.01 (default but can be edited) STOP LOSS(SL): NILL (default but can be edited) Currency: all currency, metals, crypto-usd markets (EURUSD as default but can use any currency) Timeframe: all TF (1 hr default but can be edited) Number of orders per trade: 1 (default) EA name: DANNYSOFTFX MACHINE VERSION 1.0 Email: EX...

3 advanced data structures. I need to show its algorithm animation and comparison with each other. Python coding Computer science

AI machine learning for football tournament prediction. Details will be given.

I want the syntax to post orders and other integration things on Wazirx in python language.

Hey, I need answers to homework assignment (school level) around 5 questions, for example: Write a function that accept a vector of numbers and returns (vector) True if a number is divisible by 4. False otherwise. Hint: use %% - Use a for loop inside the function - Use any apply function inside the function - Use ifelse inside the function

The topic "Pricing in car liability insurance using generalized linear models" deals with how to perform pricing in car liability insurance using generalized linear models. A focus will be on creating confidence intervals and calculating Fisher Information. - Overview of the car liability insurance market and the need for pricing models - Explanation of generalized linear models and how they can be applied to car liability insurance pricing Analysis of the data used to build the pricing model, including factors such as vehicle type, driver demographics, and claims history - Comparison of different generalized linear models and selection of the best-performing model Implementation of the chosen model for pricing car liability insurance policies -Evaluation of the model's pe...

Need someone to build me an AI engine that can scrape polls and questions from all over the web and platforms like Twitter Reddit Instagram Facebook and tick tok. I need to be able to enter any topic. For example if I want all polls and questions that are fantasy football related it will scrap every question and post on a ghost social media profile posting the content daily. Or questions or polls on relationships and it will do the same. Or food, politics, sports, movies and so on

I need someone to design a voice recognition app to do some reading for both numbers and English words.

I need someone to help me creating customisable deep learning models for object detection and tracking. The person should be highly skilled in deep learning and computer vision and tracking

It have to performed on Matlab

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Implementation of a proposed task scheduling algorithm in cloud computing simulation environment (CloudSim plus), or any other simulator eg: Matlab, where there is the provisioning of time slicing /time quantum for the tasks , where tasks with different arrival time and bus time are assigned to the scheduler according to the proposed algorithm, and the calculation of average TAT and WAT would be the resulting output. The scenario should have the following parameters Data Center Characteristics Data Center : OS Linux Data Center VMM : Xen Data Center Architecture : X86 VM Parameters Image Size 10,000 VM_MIPS 1000 Bandwidth 50,000 VM Number of CPUs 10 Ram 512 Cloudlet Parameters Cloudlet File Size 300 Cloudlet Output Size 300 Cloudlet Utilization (CPU, BW, Ram) Full Proposed algorithm fl...

Hi I need someone who can do fast clustering for more than a million points. I need to save the final output by removing the noises. I will provide you with the input file and code. Load properly the input file. You should have knowledge of famous clustering methods. I will not pay for trying. Let's talk.

This project deals with building/training regression models (KNN, OLS, Ridge, LASSO), identifying overfitting and underfitting, and providing a written report. PDF file explains in more detail and a training and test dataset will be provided. Serious inquiries only. Need in 36 hours.

Please only someone who knows what they are doing! Very profitable strategy like you never seen before.

I want to discuss my project and tell you about the conditiins in detail to avoid doubts

I need help with simulating a V2V communication using SUMO. Being able to simulate an accident scenario which include exchanging emergency safety messages.... Best regards Thanks.

The project would be a full-fledged website which extracts information and emotion from the social media to detect depression using various machine learning algorithms

A forex Expert advisor that is able to trade on my behalf and give accurate signals.... Put stop loss, put take profit

Hello I have a technical question. Based on data. What is the minimum daily and weekly breakout in dollars for xauusd in a 10 year period.... How do I find out... ? My theory is simple and i need a ea based on this data...

Hello I have a technical question. Based on data. What is the minimum daily and weekly breakout in dollars for xauusd in a 10 year period.... How do I find out... ? My theory is simple and i need a ea based on this data...

I own a mature retail business that has ecomm, brick mortar and events. I want to see how AI and your company can help forecast and push products online. My url is www.bigweathergear.com. I want " pop up ads" or similar in cities where inclement weather, from rain, to sleet to snow to hurricanes and N'or easters to populate as the storms are predicted and happening, then push the appropriate jackets for the occasions.

I need a person who have good knowledge in mathematical logic. Please bid if you are good in mathematical logic

Data science: Based on crypto historical data we would like to predict where is the Best moment to buy crypto or sell. We could test algoritm on for example Etherium crypto then apply it to rest of crypto curriencies. Following task can be split for steps: 1. Find where data can be retrieved(free api or other method like scrapping) We can Focus on value in each day and/or hour. 2. Create algoritm based on known data science Methods, some existing library can be used. (Like neural Networks, linear Regression etc) 3. As output we do prediction for future And Stored in database. 4. Output is later validated, calculating accuracy. 5. Accuracy should be higher than 60%, close to 100% would be perfect. I recommend to use Java for that, but if you feel better in for example Python or other lan...

Explicit Filtering Phase project as discussed in chat for phrase detection and resultant redirect.