Search Results - (( its implementation developing algorithm ) OR ( program implementation learning algorithm ))
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1
Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…The knowledge acquired by the process is interpreted and mapped into vectors, which are kept in the database and used by the system to guide its reasoning process. Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
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2
Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…In order to develop an intelligent agent, various programming techniques are used in achieving the property of self learning, information retrieval and searching algorithm. …”
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3
Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak
Published 2021“…A classifier model is developed using Naive Bayes characteristics. A comparison between built-in Scikit Learn Naive Bayes algorithm, and the scratch Naive Bayes algorithm is used to measure its effectiveness in terms of accuracy. …”
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4
Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir
Published 2019“…It implemented Supervised Learning algorithm with Bayes’ Theorem model for the calculation of mood prediction using Python programming language. …”
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5
DESIGN OF IMPROVED GRID FOR TURTLE ROBOT
Published 2013“…The method used in this project is by exploring several implementation of turtle robot with its grid design. This is the followed by developing improved grid design with new algorithm which is then tested continuously to ensure its functionality working flawlessly. …”
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Final Year Project -
6
SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR
Published 2005“…By implementing Nyquist Stability Criterion's tuning algorithm with Neural Network, this will definitely enhance the process of tuning the PID controller. …”
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Final Year Project -
7
Spiking Neural Network For Energy Efficient Learning And Recognition
Published 2020“…Therefore, an energy-efficient spiking feedforward computing system is presented to evaluate its performance. Common building blocks and techniques used to implement a spiking neural network are investigated to identify design parameters for hardware-based neuron implementations. …”
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8
Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli
Published 2023“…The importance of this study lies in its potential to provide an accurate and efficient algorithm for plant health assessment, in making informed decisions. …”
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Student Project -
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AI chatbot system for educational institutions
Published 2023“…This project presents the design and development of an advanced chatbot system powered by deep learning algorithms for intent classification. …”
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Final Year Project / Dissertation / Thesis -
10
Development of a Wireless PC-Controlled Mobile Robot System and Multimedia Based Learning Module
Published 2001“…The developed control algorithms enable the user to control the mobile robot manually, automatically or by voice recognition commands. …”
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11
Performance comparison of various YOLO architectures on object detection of UAV images
Published 2022“…The culmination of the evolution of computer vision technology is the development of sophisticated algorithms centered on extensive training and testing datasets. …”
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Proceeding Paper -
12
Malaria parasite detection and classification using CNN and YOLOv5 architectures
Published 2022“…As a result of the rapid development of deep learning, numerous experts have attempted to implement it in the medical sector due to its ability to overcome the limitations of conventional methods. …”
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Proceeding Paper -
13
Automatic parking management system and parking fee collection based on number plate recognition
Published 2012“…The aim of this research is to develop and implement an automatic parking system that will increase convenience and security of the public parking lot as well as collecting parking fee without hassles of using magnetic card. …”
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14
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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15
Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…The analysis of learning problems shows the unavailability of interactive learning media that can support various learning styles of students in programming algorithm materials. …”
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Conference paper -
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A new domain specific scripting language for automated machine learning pipeline
Published 2019“…However, in respond to the implementation difficulty, there exists a limited software tool that support easy implementation for automated machine learning based on Genetic Programming. …”
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18
Rapid software framework for the implementation of machine learning classification models
Published 2021“…However, to implement a complete machine learning model involves some technical hurdles such as the steep learning curve, the abundance of the programming skills, the complexities of hyper-parameters, and the lack of user friendly platform to be used for the implementation. …”
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19
Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network
Published 2016“…First proposed algorithm is the combination of momentum algorithm with adaptive learning rate (ALR) algorithm, and second proposed algorithm is the combination of momentum algorithm with automatic learning rate selection (ALRS) algorithm. …”
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20
Case Slicing Technique for Feature Selection
Published 2004“…The classification accuracy obtained from the CST method is compared to other selected classification methods such as Value Difference Metric (VDM), Pre-Category Feature Importance (PCF), Cross-Category Feature Importance (CCF), Instance-Based Algorithm (IB4), Decision Tree Algorithms such as Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5), Rough Set methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) and Neural Network methods such as the Multilayer method.…”
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