Algorithm Jobs

I need to combine my results from AHP method in a Dijkstra Algorithm. If you don't have experience in this type of issue please don't contact me and abstain from this offer. In attachment you can find an example of what i need to do. the last part how to combine AHP with Dijkstra is what i need exactly.

Hello, The idea is to create a medical diagnostic AI tool, based on a clinical algorithm. The medical condition is called "Recurrent Pregnancy Loss" or Recurrent Miscarriage. Attached is the published clinical algorithm that uniquely revolves around the genetic testing of products of conception for decision-making. This project will require a special type of talent, creativity and expertise in machine leaning... Including bottomline transforming a theoretical clinical algorithm into an actual potential AI product/tool with only limited numerical data

Looking for recommendations for a predictive data algorithm to take pressure and time data to predict pressure in the future and predict a pass or fail on a pressure test.

I have already build the code using ML algorithm on python (Anaconda) and it is running fine I just need help in the optimization approach as we basically want to optimize the data set to remove the noise from the bulk of data or you can suggest me some more approach so that I can perform early detection with more accuracy.

I want to build an NLP algorithm in Python to match different profiles to a Job Description and Rank them. I want to assess how good a profile fits X, Y, Z Job Description. Any idea, any latest algorithm will be better. Bonus: If you can deploy the model

Need to write code in c++ for developing a scheduling algorithm using PHRRN and RR

hello, I need the mentioned paper's algorithm fully implemented from scratch using the same dataset in the paper, I have a 100% understanding of the paper's algorithm, but I do not have the skills to implement it myself thus I require your assistance, The paper discusses federated learning and user authentication thus I need someone with experience in both, the code also deals with federated averaging and deep learning. before proceeding to work with you I need you to: - give me a thorough explanation of the paper's algorithm so that I know that you are going to implement it correctly as I am on a short timeline. I would also like to stay posted on the process by viewing the segments you have implemented every 5 days. pleased to working with you, I ha...

Project aim is to find the right methodology, methods and techniques (algorithm) automatic generation of test cases from the Use-Case specification written in Croatian with natural language processing. At this point, it is not clear to conclude with certainty whether the problem under study will require the creation of a new technique or whether it will be possible to adapt an existing technique. From previous research dealing with other languages, e.g., Japanese (Masuda , 2013), we see that this technique should include retrieving the logic of testing from the consistency between natural language processing techniques and software testing. Thus, our first step will include studying the transferability of the existing technique to the new domain of software testing and in the Croati...

You must develop a device for testing assembled printed circuit boards(PCBA). The algorithm of work consists in receiving commands from the PC and performing the appropriate actions: • Relay switching. • Voltage measurement with ADC. • Read digital inputs. • Data transmission via RS485. If you live in Georgia and have knowledge of Russian language it would be a big advantage. Detailed technical requirements in two languages attached by files.

...guides for new and existing programs · Document all programming tasks and procedures · Perform routine software maintenance Skills and Knowledge · Full stack development experience with C#, ASP.NET MVC, Web API · Working experience in Web services (SOAP/Restful) integration, failure analysis · Understanding of back-end technologies · Strong Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis · Experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new system · Ability to write clean, readable code · Experience with cloud-based databases and data persistence · Experience working in an ...

...the user is assigned a random number. - After time is up system (smart-contract) run randomizer and choose one of the numbers assigned to randomizer - this number is winner number. - Winner receives all money that was paid by users in this circle instead of commission. - And new one lottery circle become start. - All of this must be a smart contract. Anyone must have opportunity to check algorithm in smart contract using blockchain. Hope we will find here our blockchain guru. Have a nice day! ...

...be estimated (also to confirm our advertised amount of 15.000 €, calculated with 10$ / hour) by a well reproducible listing. For this please don't expect any refund! This is your responsibility. The best destination technologies can be discussed for this project. Therefore the project is devided into 4 main phases which should be finished within 6..8 months: 1) Intelligent, teachable parsing algorithm to extract specific event data from web pages being recognised by their position, content and design. 2) Quiz Inquirer: To one question user can give one or several answers (3 types). Users can play against each other. Game leader option. Results are saved. Same question is avoided except at ‘remember mode’. Time is counted. Statistics are calculated. 3) Mobil...

The goal of this project is to independently explore an advanced theoretical topic in algorithm design. This can be done in a number of ways, but we expect projects to fall into roughly 3 categories.

built a face matching algorithm which take two images , compares and gives a score. but there is a catch . in those two images one image of the person can be very old image of him and the other image can be new. for example comparing image from persons passport image to present image

The goal of this project is to independently explore an advanced theoretical topic in algorithm design. This can be done in a number of ways, but we expect projects to fall into roughly 3 categories.

The goal of this project is to independently explore an advanced theoretical topic in algorithm design. This can be done in a number of ways, but we expect projects to fall into roughly 3 categories.

I have a sequence of numbers, I need someone to find the algorithm and give the next sequence

Project To be completed in next 1-2 days: We have Lidar and Radar mounted on a vehicle. We n... file will be uploaded here provides information about the coordinate frames and transforms between the sensor and the vehicle 4. Location of Rosbag file: Will be provided one agreed with the project Perform the required Sensor Processing and use the best appropriate algorithms for Object Detection. Explain the purpose of each technique of Sensor processing and why particular algorithm was selected for Obejct Detection in comparison to other algorithms existing. The output location of each Lidar and Radar object detected should be seen on screen. It can be published out of a ROS topic each for Lidar and Radar. The code should be in python and executable in ROS Noetic environment.

i have 2 protocols both have their algorithms I need to write code for them then implement on NS3 network simulator in Wireless Sensor Network

...have a data set of runners in historical races on which gambling occurs. The data identifies the winner and the price paid for the win along with six variables I consider most important. I am seeking a trained statistician to use various appropriate statistical analyses to determine which of the variables are most important (and put them in order) and to potentially find a set of variables (an algorithm) that provide an outcome that is profitable for betting. The data is presented in an EXCEL format. It currently runs to over 50,000 lines. All data is numerical. Of importance is that there are two parts to the outcome. The win percentage and the return on investment. Both are important and need to be considered together. I do not anticipate this job is particularly large or di...

The goal of this project is to independently explore an advanced theoretical topic in algorithm design. This can be done in a number of ways, but we expect projects to fall into roughly 3 categories.

The goal of this project is to independently explore an advanced theoretical topic in algorithm design. This can be done in a number of ways, but we expect projects to fall into roughly 3 categories.

I'm looking for someone who can help with my Marketing Assignment. Im on a module with Data Visualizations/python. My assignments has the following 15 questions. I hav...columns with apprpriate missing values 8)create a function to process text(ie should remove punctuation marks and also return a list of words in each text) 9)filter your dataset using the stars column and assign the resulting dataset into a new one called final(hint : stars==5|stars==1) 10)using CountVectorizer(specify the above created function as your analyzer) and the decision tree classifier algorithm and any other tool from pythons scikit-learn library build a model to classify text as 1 or 5 star ratings 11)print the classification report and confusion matrix of the model 12)use the model to classify t...

In graph theory and network analysis, indicators of centrality identify the most important vertices within a graph. Applications include identifying the most influential person(s) in a social network, key infrastructure nodes in the Internet or urban networks, and super-spreaders of disease. Centrality concepts were fir...networks, and super-spreaders of disease. Centrality concepts were first developed in social network analysis, and many of the terms used to measure centrality reflect their sociological origin1. The objective of this programming is to identify the most influential person in a social network, in order to do we need to apply the Closeness Centrality (CC) algorithm on a large graph representing a social network. More details about algorithm in chat. Along w...

...needs a Finance Expert to do analysis of a large set of data and the workings needs to be done using Python - Extracting yield curve factors using Nelson Siegel-Svensson Model Using US treasury and German bond (monthly data from 1990-2022). I will need you to extract the 4 factors in Nelso Siegel-Svensson model. (Beta 1 - beta 4). - Forecasting data using: AR, ARIMA and simple Machine Learning Algorithm (Linear Regression, Random Forest and SVM) Make a forecast to those factors. compare AR, ARIMA, Linear Regression, Random Forest and SVM. analyse the best forecaster using MAE and RMSE (from the training and test data). we will use the best one to forecast monthly data for the 3 years ahead. for the corporate bond we will use index (there will be 3 index used) and extract the y...

Finding an optimum temperature value for chiller operation in the least cost way. The chiller model is done. The optimization part is only left to do.

It seems like something weird is ...no-indexed. This is either from the algorithm update or the site being changed, we've tried to request indexing but it's been denied. Here are the standards we use to index a page. However, they are showing as "page not fetched" but the page is live. The website did not pass core vitals Also, the site has a lot of pages showing the error "Submitted URL seems to be a Soft 404" on GSC - but they aren't 404s. We started validation to see if it clears it up. Watch this video These errors are being de-indexed. For example, the Original Gangster Hoodie when searched on Google. Here is the same page searched on GSC Screen Shot 2022-07-15 at 12.38.10 is the result when we request indexing. Should have know...

Need a research paper on algorithm technique, please find additional details below Theoretical Research Project: Find an open research question in algorithms and attack it. You might present a new algorithm for a studied problem or adapt a known algorithm or technique to an interesting new problem. You might improve the analysis of an existing algorithm or show that it can be improved for a certain special (and interesting) class of inputs. You might prove additional properties of an algorithm – e.g. that it can be implemented in small space or works under relaxed problem assumptions. As with any research project, you’ll need to prepare for the possibility that you don’t solve the problem you set out to solve! This is perfectly fine &nd...

I'd like to create an algorithm to predict price movements for an asset on a stock market. I have a huge amount of historical data for price movements which might be suitable for analysis and ML model creation. I also have some algorithms from the internet (see attaches) which do just the thing I need, but there're some issues with these scripts, so they might or might not be suitable for the task. I'd like to discuss it with the candidate. The resulting algorithm should: - load historical data - build a ML model on it - test it on a small part of the dataset to make sure it predicts well enough - generate prediction for a configurable number of time frames forward (from 1 to 10, basically) - plot the results of the test and prediction on a chart - save test...

...needs a Finance Expert to do analysis of a large set of data and the workings needs to be done using Python - Extracting yield curve factors using Nelson Siegel-Svensson Model Using US treasury and German bond (monthly data from 1990-2022). I will need you to extract the 4 factors in Nelso Siegel-Svensson model. (Beta 1 - beta 4). - Forecasting data using: AR, ARIMA and simple Machine Learning Algorithm (Linear Regression, Random Forest and SVM) Make a forecast to those factors. compare AR, ARIMA, Linear Regression, Random Forest and SVM. analyse the best forecaster using MAE and RMSE (from the training and test data). we will use the best one to forecast monthly data for the 3 years ahead. for the corporate bond we will use index (there will be 3 index used) and extract the y...

•My code should have security as a paramater and that should be increased compared to existing system by (SHA-256 Secure Hashing algorithm) •Privacy of patient health data must be maintained •Based on patient's symptoms using Machine learning algorithms, patient must be directed to a specific department (ex: heart patient based on synptoms must be directed to Cardiologist and Ear patient to ENT) •On the website patient after one transaction and doctor prescription purchased, a patient should have the privilege to book another appointment •Database must have all the symptoms existing giving results for upto 40 diseases. Blockchain databases must have Electronic health records EHR maintained on Blockchain network. Can be user defined blockchain as a sim...

I have a small algorithm project.

The goal of this project is to independently explore an advanced theoretical topic in algorithm design. This can be done in a number of ways, but we expect projects to fall into roughly 3 categories. Reading Project: Find one or several research papers on an algorithm, class of algorithms, or algorithmic topic that you find interesting. The papers should be new enough (within the recent 4-5 years) or challenging enough so that their main results have not already been synthesized for books or lecture notes. Write an exposition of the theoretical results

Need a working implementation of equihash in a Yiimp stratum. Or a wrapper for another stratum to work with the yiimp database. More algorithm work will be available once job is completed. using this fork..

I need to develop an algorithm using MATLAB code to do some loop consists of some separate blocks in MATLAB. I already constructed these blocks, I just need some one to gather them in one loop under control... the process is iterated like next : 1- raw data to calculate initial input function (initial fitness function ) 2- run GA constrained optimization based on (1) for unknown initial parameters (from 3 up to 15 as desired) 3- the results is saved to excel sheet 4- involve the initial parameters from (2) in complete formula (fitness function) 5- run GA constrained optimization based on (4) for the same unknown parameters (from 3 up to 15 as desired) 6-add the results to same excel sheet of (3) 7- check for convergence criteria (which is feasible to be set and chan...

Basically, I would like to extend the algorithm explained and implemented to the case of the full DatalogMTL language (without _nr) on a research paper I came along. Would also require some theoretical analysis first, because Theorem 9 says the language is P-hard and the P upper bound (so, polynomial time algorithm) is not known. Will provide the journal article to be read in order to understand the task.

cloud computing, protocol development, algorithm etc

I have python code that I wrote with an intern that will price out real estate values. It accesses a data set that right now is in excel and I imagine would be hosted on the cloud. I want my real estate agents or clients to be able to access and run this python code in a user-friendly interface and for a set of inputs to trigger it running and give a result. In addition to the code deploying, I would want to make some minor tweaks to the code base to improve it and make it run better with more data points.

I have python code that I wrote with an intern that will price out real estate values. It accesses a data set that right now is in excel and I imagine would be hosted on the cloud. I want my real estate agents or clients to be able to access and run this python code in a user-friendly interface and for a set of inputs to trigger it running and give a result. In addition to the code deploying, I would want to make some minor tweaks to the code base to improve it and make it run better with more data points.

In this challenge you will develop an algorithm to estimate cortical thickness map from a raw T1-weighted image. Cortical thickness map is the thickness of the gray matter of the brain at every point. It is defined as the distance between the white matter surface and the pial surface. Your python script must output a 3d volume where every pixel NOT in the gray matter is assigned a value of zero, and every pixel in the gray matter is assigned the thickness value of the cortex at that point.

I need an algorithm made for a site where numbers are being showcased and a software which could understand and calculate on its own to achieve a result or do the functions which I'll tell it to do. Rest I would prefer to tell on call or whenever we can connect in more detail.

to implement an algorithm that is defined in an excel file

Project consists of integrating TradingView's data through APIs onto a python based program. Then to use the data to derive further values and implement an algorithm on top of those values.

The project is to upload existing MATLAB algorithm packaged on a GUI to a web-based interface

Need to use C++ language, Deadline: 1 days or less if possible *Need to use Edmonds Chu Liu algorithm Note: I attach the requirement picture

I have been working on an ongoing project Sumitt-- summarizing PDF and doc files. Upto 100 -150 pages. The format is 1) the user uploads a file in our website, 2) can customize how long the summary should be 3) hit submit and get a summary on the same page. Can send you demos. I need a skilled data scientist or ML/NLP expert to go over the algorithm/source code and fine tune it. I am looking for someone to improve the effectiveness of the output. Must be familiar with python, NLP, django Serious inquiries only, automated responses will be ignored.

this project is to apply : - extracting yield curve factors using Nelson Siegel-Svensson Model - Forecasting data using: AR, ARIMA and simple Machine Learning Algorithm (Linear Regression, Random Forest and SVM) - Running Markowitz (mean-variance) Optimization I need assistance with the above data processing needed for my analysis. Please hit me if you have the skills to run those data and have sufficient financial background related to understanding the context of the analysis.

One of the most prestigious companies in the field of ASIC Design is looking for a talented Digital ASIC Designer. Previous work with SOC & Synopsys Design Compiler is an asset. The currently defined project is designing a miner chip (ASIC miner) based on the SHA-256 algorithm with the aim of reducing power consumption and improving speed. Send me a message if interested. Looking forward to your resume

In this challenge you will develop an algorithm to estimate cortical thickness map from a raw T1-weighted image. Cortical thickness map is the thickness of the gray matter of the brain at every point. It is defined as the distance between the white matter surface and the pial surface. Your python script must output a 3d volume where every pixel NOT in the gray matter is assigned a value of zero, and every pixel in the gray matter is assigned the thickness value of the cortex at that point.

Need a machine learning expert to make a prediction algorithm