Search Results - (( _ implementation learning algorithm ) OR ( basic implementation developing algorithm ))
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1
Autonomous path planning robot using geographical information
Published 2008“…After the simulation using Matlab, the algorithm will then be implemented in the robot using basic stamp to run the mobile robot. …”
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Learning Object -
2
IMPLEMENTATION OF BEHAVIOUR BASED NAVIGATION IN A PHYSICALLY CONFINED SITE
Published 2017“…This study looks at developing a behavior-based algorithm that adaptable to several different environment configurations. …”
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Final Year Project -
3
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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Thesis -
4
Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation
Published 2000“…This thesis focuses on ways to improve the existing solutions in the algorithmic and implementation aspects. For the algorithmic aspect, the basic principles of motion compensated DCT block-based compression scheme was studied. …”
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Thesis -
5
Comparative study on job scheduling using priority rule and machine learning
Published 2021“…We’ve achieved better for SJF and a decent machine learning algorithm outcome as well.…”
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Conference or Workshop Item -
6
Mobile robot positioning system
Published 2008“…The report has examined the design, development and implementation of 4 Wheels Mobile Robots that implemented with Positioning System that can perform nonconventional maneuver. …”
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Learning Object -
7
Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…The proposed security architecture is constructed as an adaptive way-forward Internet-of-Things (IoT) friendly security solution that is comprised of three cyclic parts: learn, predict and prevent. A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Article -
8
Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…The proposed security architecture is constructed as an adaptive way-forward Internet-of-Things (IoT) friendly security solution that is comprised of three cyclic parts: learn, predict and prevent. A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Article -
9
A hybrid particle swarm optimization - extreme learning machine approach for intrusion detection system
Published 2018“…This work proposes the extreme learning machine (ELM) is one of the poplar machine learning algorithms which, easy to implement with excellent learning performance characteristics. …”
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Conference or Workshop Item -
10
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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Monograph -
11
An interactive C++ programming courseware (SIFOO) / Mazliana Hasnan … [et al.]
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Book Section -
12
Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…The RSNN implements a novel approximation transform. The basic design for the network is provided together with the learning rules. …”
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Thesis -
13
The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer
Published 2023“…The development of ML algorithms in dermatology has been supported lately regarding links to digital data processing (e.g., electronic medical records, Image Archives, omics), quicker computing and cheaper data storage. …”
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Article -
14
A novel neuroscience-inspired architecture: for computer vision applications
Published 2016“…The results show up to 2% accuracy rate compared to our implementation of DeepFace, a high performing face recognition algorithm that was developed by Facebook, is achieved under the same hardware/ software conditions; and we were able to speed up the training up to 21% per a training patch compared to DeepFace.…”
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Proceeding Paper -
15
Computerized simulation system for ECM radar system
Published 2007“…Then Unified Modeling Language (UML) was used as a tool to implement the OO methodology. Use case diagram were used, based on the requirement analysis. …”
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Thesis -
16
Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The basic component of the algorithm consists of several clans and each clan searches for the best place (or best solution) based on the position of their leader. …”
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Thesis -
17
Development of durian ontology from unstructured text and external knowledge source / Khairul Nurmazianna Ismail
Published 2014“…In the third phase, external knowledge sources such as knowledge model from Agropedia is embedded as the basic element of ontology development. Then, the basic element is use ontology editor for implementation phase. …”
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Thesis -
18
Artificial Intelligence as A Common Heritage of Mankind
Published 2023“…Artificial intelligence technologies today employ techniques known as machine learning and deep learning, which apply datasets to a suitable mathematical or statistical technique known as an algorithm. …”
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Article -
19
Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
Published 2021“…Furthermore, three McR algorithms are developed and implemented in a cascaded manner to reduce the false predictions (i.e., misclassification) of the aforementioned six ML classifiers. …”
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Thesis -
20
Text-based emotion prediction system using machine learning approach
Published 2020“…The model was developed based on Ekman’s six basic emotions which are anger, fear, disgust, joy, guilt and sadness. …”
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