Search Results - (( _ application system algorithm ) OR ( some application learning algorithm ))*
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Applications of deep learning algorithms for supervisory control and data acquisition intrusion detection system
Published 2022“…In this paper, we have examined and presented the most recent research on developing robust IDSs using Deep Learning (DL) algorithms, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Stacked Autoencoders (SAE), and Deep Belief Networks (DBN). …”
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Three-term backpropagation algorithm for classification problem
Published 2006“…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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Early detection of dengue disease using extreme learning machine
Published 2018“…The back propagation neural network is one of the popular machine learning technique that capable of learning some complex relationship and had been used in many applications. …”
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An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif
Published 2016“…From this research, some of the potential applications that can use this prediction model are employee recruitment planning in industry sectors and higher learning student enrollment.…”
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Deploying blockchains to simplify AI algorithm auditing
Published 2023“…With increasing applications of AI algorithms, the concerns regarding its outcomes have also increased due to bias. …”
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A new machine learning-based hybrid intrusion detection system and intelligent routing algorithm for MPLS network
Published 2023“…Machine Learning (ML) is seen as a promising application that offers autonomous learning and provides optimized solutions to complex problems. …”
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Particle swarm optimization for neural network learning enhancement
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Opposition- based simulated kalman filters and their application in system identification
Published 2017“…The COOBSKF also has been compared with five other optimization algorithms and outperforms them all. Besides that, this thesis also presents the application of COOBSKF in a system identification problem. …”
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Differential evolution for neural networks learning enhancement
Published 2008“…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
Published 2019“…These algorithms have succeeded with different accuracy levels, but it is still suffering from some weaknesses. …”
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APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN
Published 2011“…For the third contribution, we have applied the Self-Training algorithm which is one of the semi-supervised machines learning technique. …”
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Intruder detection in camera networks using the one-class neighbor machine
Published 2011“…Through application to real images from an example, simple closed-circuit television system and comparison with some existing algorithms, we show that it is possible to easily obtain high detection accuracy with low false alarm rates.…”
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Hand gesture recognition in ASD related motion using YOLOv8 algorithm / Muhammad Afiq Mohd Ali
Published 2025“…The study focuses on designing a Hand Gesture Recognition application by means of the YOLOv8 deep learning algorithm to recognize hand gestures associated with autism spectrum disorder (ASD). …”
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Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System
Published 2011“…There are extensive computational aspects with the natural immune system. Several algorithms have been developed by exploiting these computational capabilities for a wide range of applications. …”
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