Web Development 网站开发代写

支持nodejs, PHP, python, ruby on rails, JavaEE等多种语言框架代写, 支持react, jquery, angular, vue等多种前端框架.

CS251: Cryptocurrencies and Blockchain Technologies Fall 2023

CS251: Cryptocurrencies and Blockchain Technologies Fall 2023 Programming Project #3 Ethereum Payment App Due: 11:59pm on Tuesday, Oct. 31, 2023 Submit via Gradescope (each answer on a separate page) code: 7DVJKY In this assignment, you’ll use Solidity and ethers.js to implement a complex decentralized ap- plication, or DApp, on Ethereum. You will write both a […]

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SuperLearner and LTMLE Solutions

Introduction SuperLearner and LTMLE # Install packages if (!require(“pacman”)) install.packages(“pacman”) pacman::p_load(# Tidyverse packages including dplyr and ggplot2 tidyverse, set.seed(44) SuperLearner, tidymodels, For our final lab, we will be looking at the SuperLearner library, as well as the Targeted Maximum Likelihood Estimation (TMLE) framework, with an extension to longitudinal data structures. This lab brings together a

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ENGN4213 6213

FPGA Project: Smart Vault Controller using Basys3 FPGA Development Board ENGN4213/6213 Digital Systems and Microprocessors Semester 1, 2024 ANU College of Engineering, Computing and Cybernetics Copyright © 2024, The Australian National University ENGN4213/6213 Digital Systems and Microprocessor Semester 1, 2024 Table of Contents 1 Project Statement……………………………………………………………………………………………….3 1.2 1.3 1.4 Function I: Vault Door Access Control

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FIT5225 Assignment 1 Rubric

FIT5225 -Assignment 1 Rubric Web Service (10) Object detection is working correctly and is able to detect the correct objects in the images, handles concurrent requests, and the Base64 decoding process is done properly. Web service generates proper JSON messages as the response in the requested format. UUID is handled properly. Code is readable, well-designed,

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FIT5225 Assignment1 2024

Assignment 1 FIT5225 2024 SM1 CloudDetect: Creating and Deploying an Image Object Detection Web Service within a Containerised Environment in Clouds 1 Synopsis and Background This project aims to build a web-based system that we call CloudDetect. It will allow end-users to send an image to a web service hosted by Docker containers and receive

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FIT5225 Assignment1 2022

Assignment 1 FIT5225 2022 SM1 Creating and Deploying an Image Object Detection Web Service within a Containerised Environment in Clouds 1 Synopsis and Background This project aims at building a web-based system that we call iWebLens. It allows end-users to send an image to a web service hosted by Docker containers and receive a list

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p4

Task 2: Distributed Application and Dashboard The Distributed Application Your application must be of your own creative design. (We will use software similarity detection software to identify those who do not.) It can be simple, but should fetch information from a 3rd party source and do something of at least marginal value. For example, we

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FIT5225 Assignment1 2021

Assignment 1 FIT5225 2021 SM1 Creating and Deploying an Image Object Detection Web Service within a Containerised Environment 1 Synopsis and Background This project aims at building a web-based system that we call it iWebLens. It allows end-users to send an image to a web service hosted in a Docker container and receive a list

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OS 15 5 like Mac OS X)

Analyzing and Visualizing Streaming Data with Kinesis Data Firehose, OpenSearch Service, and OpenSearch Dashboards Lab overview and objectives Big data problems often require solutions in real time. This is the velocity part of the five Vs of big data (volume, variety, velocity, veracity, and value). Common data sources for these scenarios include video streams, application

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