Search Results - (( intelligence based training algorithm ) OR ( intelligence system aims algorithm ))
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Hybrid intelligent approach for network intrusion detection
Published 2015“…Hence, there must be substantial improvement in network intrusion detection techniques and systems. Due to the prevailing limitations of finding novel attacks, high false detection, and accuracy in previous intrusion detection approaches, this study has proposed a hybrid intelligent approach for network intrusion detection based on k-means clustering algorithm and support vector machine classification algorithm. …”
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Thesis -
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…However the proposed algorithm offers a promising approach to building intelligent systems.…”
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Final Year Project -
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An advanced scheme based on Artificial Intelligence technique for solving nonlinear Riccati systems
Published 2024“…It competes effectively with other traditional methods in providing accurate solutions for fractional differential equations (FDEs). This work aims to implement a feedforward ANN with two hidden layers to solve nonlinear systems based on the fractional Riccati differential equation (FRDE). …”
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Auto raise hand in Microsoft teams (API/Extension)
Published 2023“…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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Final Year Project / Dissertation / Thesis -
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Snake detection system using convolutional neural network / Muhammad Danial Ahmad Tarmizi
Published 2020“…The algorithm is built using Tensorflow software. The development of the project is based on Waterfall methodology. …”
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Forecasting Malaysian exchange rate artificial neural network : 2010-2018 / Ikhwan Muzammil Amran
Published 2018“…The training algorithm that applied is Quasi-Netwon based on the lowest recorded absolute training error. …”
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Student Project -
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Fault Detection and Identification in Quadrotor System (Quadrotor Robot)
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Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning
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Proceeding Paper -
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Model rangkaian neural bagi penentuan gaya pembelajaran pelajar berasaskan model Felder-Silverman
Published 2022“…Artificial intelligence models are built based on neural network algorithms and the supervised machine learning technique. …”
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Human computer interaction using isolated-words speech recognition technology
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Proceeding Paper -
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Stereo Camera-Based Aerial Target Geolocation in a Ground-Based Platform Environment
Published 2024thesis::master thesis -
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Geospatial AI-based approach to assess the spatiotemporal suitability of onshore wind-solar farms in Iraq
Published 2023“…To overcome these challenges, the current research aims to develop a SpatioTemporal Decision-Making (STDM) model based on Geospatial Artificial Intelligence (GeoAI) to locate onshore wind-solar hybrid plants. …”
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Network intrusion detection and alert system
Published 2024“…The intrusion detection component will utilize a combination of signature-based and anomaly-based detection techniques. Signature-based detection compares network traffic packets with a real-time updated database of known attack patterns, while anomaly-based detection algorithms learn normal behavior patterns and identify deviations. …”
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Final Year Project / Dissertation / Thesis -
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Human hearing disorder recognition model using eeg-aep based signal
Published 2022“…The most significant modality for diagnosing hearing deficiency among EEG control signals is the auditory evoked potential (AEP), which is generated in the cortical region of the brain through auditory stimulus. This study aims to build an intelligent system for hearing deficiency diagnosis. …”
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An improved artificial neural network based model for prediction of late onset heart failure
Published 2012“…The MLP model was used to optimize the predicting algorithm based on the conjugate gradients descent method. …”
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