Search Results - (( program implementation developing algorithm ) OR ( network implementation learning algorithm ))
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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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Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
Published 2021“…With the rise of mobile technology and internet access, recent development in machine learning have designed many algorithms to solve diverse human problems. …”
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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 -
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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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Spiking Neural Network For Energy Efficient Learning And Recognition
Published 2020“…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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Raspberry Pi-Based Finger Vein Recognition System Using PCANet
Published 2018“…For classification, k-Nearest Neighbours (kNN) with Euclidean distance algorithm is implemented. An enhancement version for kNN algorithm, k-General Nearest Neighbours (kGNN) have been proposed at initial stage. …”
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Speed control of separately excited dc motor using artificial intelligent approach
Published 2013“…A neural network controller with learning technique based on back propagation algorithm is developed. …”
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Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm
Published 2023“…The detection algorithm will be develop based on a modified AlexNet model. …”
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Final Year Project Report / IMRAD -
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Path Following Using A Learning Neural Network
Published 2004“…To conduct the specified works, the MATLAB programs written by [2] have been extended and modified.…”
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Final Year Project -
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Development of deep learning based user-friendly interface for fruit quality detection
Published 2024“…The implementation of deep learning algorithms has contributed to various applications related to the detection of fruit quality. …”
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Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging
Published 2022“…Background: This study aims to propose the combinations of image processing and machine learning model to segment the maturity development of the mandibular premolars using a Keras-based deep learning convolutional neural networks (DCNN) model. …”
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BioGenTool: A Generic Bio-inspired Neural Tool.
Published 2018“…Artificial neural network (ANN) is a bio-inspired algorithm which has been shown to perform well in many domains in solving non-linear and complex problems. …”
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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 -
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Chili crop segregation system design and development strategies
Published 2021“…The image data taken from chili samples can be trained by using Learning Algorithm in the MATLAB program. The performance of the trained network then can be evaluated by using the Confusion Matrix technique. …”
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A platform to develop a secure instant messaging using jabber protocol
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Malaria parasite detection and classification using CNN and YOLOv5 architectures
Published 2022“…Therefore, the purpose of this paper is to design and develop a model for the detection of malaria parasites. Implementing a Convolutional Neural Network (CNN) and YOLOv5 algorithm to detect and classify malaria with the selected dataset, respectively, is the proposed method. …”
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Proceeding Paper -
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Development of water surface robot system for lake sanitation and sampling / Ahmed Abdullah Omar
Published 2022“…Case study 1 tests the robot’s APIs in implementing a genetic algorithm for wayfinding with RTK-based localization. …”
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Implementation of machine learning algorithm in preventing network congestion
Published 2023text::Final Year Project -
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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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