Search Results - (( java dynamic function algorithm ) OR ( basic computer training algorithm ))
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Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
Published 2005“…This project is developed to train the computer programs to recognize objects in the pictures. …”
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Visdom: Smart guide robot for visually impaired people
Published 2025“…Key features include the SMAC Hybrid A* algorithm for global path planning, the Regulated Pure Pursuit Controller for local trajectory execution and dynamic obstacle avoidance, and gmapping for SLAM functionality. …”
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Final Year Project / Dissertation / Thesis -
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Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection
Published 2019“…Intrusion Detection (ID) in the context of computer networks is an essential technique in modern defense-in-depth security strategies. …”
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A Novel Method for Fashion Clothing Image Classification Based on Deep Learning
Published 2023“…Furthermore, the study adopted the approximate dynamic learning rate update algorithm in the model training to realize the learning rate’s self-adaptation, ensure the model’s rapid convergence, and shorten the training time. …”
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Article -
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Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin
Published 2019“…D3.js is used as a technology to visualize the result in interactive form or dynamic visualization which is a JavaScript library and Python is a language to program the system. …”
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Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
Published 2021“…EBrC-Net architecture is designed to require less training time and computational resources like a normal desktop computer. …”
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An interactive C++ programming courseware (SIFOO) / Mazliana Hasnan … [et al.]
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Book Section -
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EMG motion pattern classification through design and optimization of neural network
Published 2012“…Extracted time and time-frequency based feature sets are used to train the neural network. A back-propagation neural network with Levenberg-Marquardt training algorithm has been utilized for the classification of EMG signals. …”
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Proceeding Paper -
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Network monopoly / Tan Kean Yeap
Published 2002“…With the powerful networking features of Java, it is expected that this project would produce a "real" game engine. …”
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EMG motion pattern classification through design and optimization of Neural Network
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Working Paper -
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A novel neuroscience-inspired architecture: for computer vision applications
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Proceeding Paper -
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SnapShare: AI Trained Mobile App to Share Snaps Automatically
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