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COMP9414 24T2 Artificial Intelligence Assignment 2 – Reinforcement Learning Due: Week 9, Wednesday, 24 July 2024, 11:55 PM. 1 Problem context Copyright By PowCoder代写 加微信 powcoder Taxi Navigation with Reinforcement Learning: In this assignment, you are asked to implement Q-learning and SARSA methods for a taxi nav- igation problem. To run your experiments and test […]
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Final Assignment 1 Overview FIT5037 Network Security Final Assignment Total Marks 100 Due on Sunday, 25 August 2024, 11:55 PM Copyright By PowCoder代写 加微信 powcoder The learning objective of this assignment is for you to gain a first-hand experience on designing, implementing, testing and ethically using a corporate network. 2 Submission Policy Create a detailed
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Assignment 1 Overview FIT5037 Network Security Assignment Total Marks 100 Due on Sunday, 4 August 2024, 11:55 PM. Copyright By PowCoder代写 加微信 powcoder The learning objective of this assignment is for you to gain a first-hand experience on network attacks (i.e., TCP and DNS attacks) and get a deeper understanding on how to launch these
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COMP9414 24T2 Artificial Intelligence Assignment 1 – Artificial neural networks Due: Week 5, Wednesday, 26 June 2024, 11:55 PM. 1 Problem context Copyright By PowCoder代写 加微信 powcoder Time Series Air Quality Prediction with Neural Networks: In this assignment, you will delve into the realm of time series prediction using neural network architectures. You will explore
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FIT3139 2024-S1: Final project (Due by 11:55pm, Friday, 14 June 2024) This final project has the purpose of assessing all learning outcomes in the unit. The learning outcomes are as follows: 1. Explain and apply the process of computational scientific model building, verification and interpretation; Copyright By PowCoder代写 加微信 powcoder 2. Analyse the differences between
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Midterm Project of CS1501 Algorithm Implementation Molecular Dynamics Simulation of Hard Spheres Simulate the motion of N colliding particles according to the laws of elastic collision using event-driven simulation. Such simulations are widely used in molecular dynamics (MD) to understand and predict properties of physical systems at the particle level. This includes the motion of
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Programming Assignment 2: Data Compression Write a program to decipher messages encoded using a prefix code, given the encoding tree. Such codes are widely used in applications that compress data, including JPEG for images, MP3 for music, and DivX for video. Prefix codes. A prefix code is most easily represented by a binary tree in
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1 Introduction This handout specifies Assignment 2, which is worth 25% of your final mark. Your task is to replicate an existing grid-based NetLogo model in Java or Python, perform experiments to verify that its behaviour matches that of the original model, adapt your model to answer a new research question, and prepare a report
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This workshop aims to give students a first experience at using NetLogo, a multi- agent programmable modeling environment, as well as experience learning new software tools in an independent manner. Using NetLogo in the labs This workshop will require you to use NetLogo. This can be downloaded from https://ccl. northwestern.edu/netlogo/6.4.0/ (this bypasses the form where
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Coursework: Kernel PCA for Linearly-Inseparable Dataset INFSCI 0510 Data Analysis, Department of Computer Science, SCUPI Spring 2024 This coursework contains coding exercises and text justifications. Please read the instructions carefully and follow them step-by-step. For submission instructions, please read the last section. If you have any queries regarding the understanding of the coursework sheet, please
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