Search Results - (( its implementation learning algorithm ) OR ( program implementation developing 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“…Using deep learning algorithms in the transportation industry, for instance, makes UAVs vital and efficient in this industry. …”
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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
Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming
Published 2012“…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
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Conference or Workshop Item -
15
Training functional link neural network with ant lion optimizer
Published 2020“…This paper proposed the implementation of Ant Lion Algorithm as learning algorithm to train the FLNN for classification tasks. …”
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Conference or Workshop Item -
16
Mobile machine vision for railway surveillance system using deep learning algorithm
Published 2021“…In order to overcome this issue, machine vision embedded with deep learning algorithm can be implemented. Obstacle detection can be achieved through vision-based object detection, where the object classification model computes the images similarity to its respective classes, classifying its potential as an obstacle. …”
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Proceedings -
17
Implementation of autonomous vehicle navigation algorithms using event-driven programming
Published 2012“…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
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18
DEEP LEARNING ALGORITHM IMPLEMENTATION FOR SHIP DETECTION IN SPOT SATELLITE IMAGES
Published 2019“…The deep-learning algorithm to be deployed is Faster R-CNN and to be implemented using MATLAB. …”
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Final Year Project -
19
Implementation of Color Filtering on FPGA
Published 2007“…The functionality of the algorithm is first verified in Matlab, simulating the expected output of the system before implementing it onto the FPGA development board. …”
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20
Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…As for WXES3l82, the thesis cover the development of programming code, the code implementation and testing and the evaluation including discussion about the problem/constraints meed in the coding program development. …”
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