Hello. I need a TSP algorithm that returns the smallest route through a latitude / longitude array with: starting point, stopping points, and final destination. There are some APIs that do this (such as Google Maps Routing), however, I need the algorithm without relying on the third-party API. - What is TSP? -> [login to view URL]
Objectives Let there be Miners and Wizards. The goal of the miners is to explore all the tunnels in their cave system. The cave system has many rooms, each with its puzzle to solve. The miners can solve the puzzles and with the solutions, the wizards can break the magic barriers protecting the cave and gain access to the adjacent rooms. The Wizards are not always available, as sometimes they sleep...
The project is to build a flexible optimization algorithm tool for transportation planning. It is a part of an existing working platform for planning, monitoring, managing & billing. All data will be coming & going to the algorithm via web service.
...to add some code to my programe that adds data to the database , the two collums in the mysql lite database should be location and hashval Requirement 3) – Hash Function Storage For this requirement your system should be extended so that it stores the results of hash code generation within its own data file. Whenever a new hash function is calculated
The topic of my Solving the Assembly Sequence Planning Problem with Shuffled Frog Leaping Algorithm. I am looking for someone who can provide total theoretic part to my thesis. Around 30 pages A4. I have already done my proposal(~10pages). The work includes enlargement already existing proposal. Preferable people who has knowledge about algorithms
...advertising who has determined in order to optimize our advertising we are fundamentally facing a Knapsack problem which will require a genuine computer scientist with excellent algorithm expertise and a solid foundation of mathematics to conquer the problem at hand. To give an idea of our problem: We have numerous groups of ads, which we call ad groups,
i want to achieve the following machine learning algorithms: (1) ID3; (2) Adaboost on Tree Stumps; (3) Random Forest; (4) Naïve Bayes; (5) Bagging with naïve Bayes; (6) K-nearest neighbors (kNN) with two different distance functions. 1. Implement the six algorithms using Java. 2. Evaluate your implementation on the datasets in [login to view URL] using 10 times 5-fold cross-vali...
When working with data, we must choose the best data structure to manipulate the data set in order to achieve efficient results. A very basic array can store information without a problem, but is inefficient when we are constantly storing and searching for data. The idea of a table is created to increase the efficiency and avoid such problems. Tables
In this project we will propose an improved distance vector routing (IDVR) algorithm and parameter selection method (which draws motivation from Swarm Intelligence) to improve throughput, data delivery ratio and to reduce connection establishment time and routing overhead. Also we will discuss the traffic density mathematically using poison distribution
...them. For example, if V1=(1,2,3) and V2=(2,3,4) then D(V1,V2)=(|1-2|+|2-3|+|3-4|)/3=1. Given an unseen cue vector (Vc), your problem is to design, implement and test algorithm(s) and data structure(s) that would return all stored vectors within a user-provided distance of any user-provided Vc. The time and space complexity of your solution must (a) scale-up
The goal is to propose an implementation of the K Raymond algorithm for mutual exclusion with RabbitMQ and evaluate it. You will submit in the form of ONE PDF file the following sections: - a description of your architecture - a presentation of your solution and your implementation - an example of use (eg a user who wishes to enter a critical section
I have an already developed algorithm which needs some changes in its thresholds to get the required results.
Looking for someone to help me with JAVA coding for shortest path problem based on Dijkstra Algorithm, and Dynamic Programming.
I want to build an anomaly detection algorithm to detect two specific Anomalies in a wide range of financial assets on specific time frame going back 30+ years. I want to be able to key in the assets I want to focus on and the time frame and look back period and then for it to spit out a scatter plot with and x axis showing Momentum, y axis showing
I need to run a three phase unbalanced distribution load flow MATLAB code for IEEE 13 bus. After that using WLS I need to ...Anybody interested and highly experienced in this field will be given the work and payment will be high too. Once you show your interest I will share all the required data, algorithm and documents needed to do the MATLAB coding.
...and cardiac related data) 2. Data storage to be done on public cloud 3. Application of a new classification mechanism of machine learning identifying the drawbacks of previous existing classification techniques and designing a new one which solves or overcome the drawback of previous techniques to label all the cardiac related data based on its extent
...recognition system using Local Binary Pattern as feature extraction method and K-Nearest Neighbor as classification algorithm. So I would like to do the same work by using Artificial neural networks (ANN) as machine learning classification algorithm. In base paper the testing result on this system shows that the Local Binary Pattern Variance method can recognize
Problem Statements: Based on the web crawler and data structure for the Simulation of Google Search Engineyou developed from thePA1(if you didn’t or you built a bad one, it is the time for you to retry and develop a nicer one), you are a Software Engineer at Google and areasked to conduct the following Google’s Search Engine Internal Process: [login to view URL]
Implement the Genetic Algorithm in JAVA for Prediction, based on average, Stock Closing Values of the Stock Exchange. Implement Evaluation, Selection , crossover, mutation, update and finalization. Example: start with a vector with the previous price of 90 days stock. Data, Open, High, Low, Close *, Adj Close **, Volume. Example: https://finance
Data mining for image processing fingerprint processing image by algorithm, like anyone of common novel,SVM, Gabour etc...tools matlab, requirements should be unique idea. This is 250 page work, submission in 3 months.
Parse contract documents using ML so user can enter a clause name and it would extract it in any document structure.
Data mining for image processing fingerprint processing image by algorithm, like anyone of common novel,SVM, Gabour etc...tools matlab, requirements should be unique idea. This is 250 page work, submission in 3 moths.
I want to develop the Dijkstra algorithm using Adjacency List representation using LinkedList data structure and use heap data structure to store the weights (develop min-heap tree from scratch). Please contact me for more details.
Hey, I want to develop the Dijkstra algorithm using Adjacency List representation using LinkedList data structure and use heap data structure to store the weights (develop min-heap tree from scratch). Please contact me for more details.
...select from a list of ranked college football players that I upload via .csv extension. The user interface shall map my data to the UI in a modern UI format. Autonomous NFL team selection of college players shall follow a custom algorithm which prevents a player from falling too far. The mock draft shall follow the current draft order as input by me via
...currently there is a solution which created a report of discovered patterns. I am looking for a smarter way to look for patterns, probably using a data graph approach in combination with a search algorithm + target function. To have a direction , I am looking for something as in the following paper. [login to view URL]~jessica/publications/HIME_ICDM17
...for the Travelling Salesman Problem (TSP). The algorithm must include: • Initialization • Selection • Crossover • Mutation The algorithm should apply these concepts above and any other additional functionality of your choosing to make the algorithm as efficient as possible. The goal output of the algorithm is to find the best solution to the TSP...
I am looking for an expert who has some deep knowledge in machine learning to help me set up an algorithm for stock price prediction and predict if a stock will go Up or Down. Technology: Python using Sklearn module, RNN, LSTM or similar ( Preferred ) Experience using hyper parameters - like Adam Optimizer. H2o (automl) ( [login to view URL]
1. Scrape website once per week with data 1.1. Team / Country / Ranking / Ranking 1 Year ago 2. Set up API on our server where in-play games happening 2.1. League / Time inplay / Team vs Team / Score 3. Matching teams from scrapped data and API 3.1. As we know country where Team comes from.... (from scraped data) 3.2. We know as well League where match
Timely identification and detection of arrhythmia rhythms from ECG signals extracting heartrate(RR)signals. Using algorithms, we should be able to do the classification of different types of arrhythmia from classification of normal and abnormal signals. Therefore, speeding up the process to detect type of arrhythmia and reduce the prone to make errors through visual interpretation.
I need some data cleaning & mining work done. I have a solution in mind, but don't have time to do it properly. I have a small dataset of attributes for some items. Some items have common themes - so first I need help grouping those. This can be manually done, probably in 30 mins. (e.g. Item 1 = "Spa", Item 2 = "Spa Facilities" - common theme is
An algorithm based off 2D bin packing for both regular and irregular shapes. See [login to view URL] for example and possibly reference Google OR-Tools [login to view URL] We are working with CAD files and will be working with full area (regular rectangles) for quick data and the true shape (irregular shapes) for more complicated
I need help with image classification api. This is simple project. API will return json...is simple project. API will return json file. If input image is trained, its confidence will be high , if not, its condition will be low (perhaps it is lower than 50%). Image data set is given. I'm looking for freelancer with good skills of tensorflow and python.