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1
Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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2
Implementing server-side federated learning in an edge-cloud framework for precision aquaculture
Published 2025“…The system is designed to enable encrypted model training at the edge using IoT sensors and Raspberry Pi, while a federated learning server hosted on AWS aggregates updates without accessing raw data. …”
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Final Year Project / Dissertation / Thesis -
3
Web Usage Mining for UUM Learning Care Using Association Rules
Published 2004“…In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. …”
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4
Web usage mining for UUM learning care using association rules
Published 2004“…In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. …”
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5
Deep reinforcement learning online offloading for SWIPT multiple access edge computing network
Published 2021“…Deep Q network (DQN) is used to learn the binary offloading decisions from the learning experience. …”
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Proceedings -
6
Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm
Published 2014“…In this work, new intelligent cooperative web caching approaches based on decision tree supervised machine learning algorithm are presented. A simulation is carried out to evaluate the performance of the proposed approaches. …”
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Conference or Workshop Item -
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A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim
Published 2017“…In order to deliver the best presentation of content requested, the E-Learning system must possess a mechanism that not only capable of accurately discovering the characteristics and capabilities of a client's device but also capable of finding out about network and server resource availability. …”
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8
Detection of SQL injection attack using machine learning
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Final Year Project / Dissertation / Thesis -
9
Network bandwidth utilization based on collaborative web caching using machine learning algorithms in peer-to-peer systems for media web objects
Published 2018“…Furthermore, retrieving the same media object from the origin server many times consumes the network bandwidth. …”
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10
Malware Classification and Detection using Variations of Machine Learning Algorithm Models
Published 2025“…Attack data was obtained from the ClaMP dataset, which has an unbalanced data set, and has very high noise, so it is necessary to analyze data packets in network logs and optimize feature extraction which is then analyzed statistically with machine learning algorithms. The purpose of the study is to detect, classify malware attacks using a variety of ML Algorithm models such as SVM, KNN and Neural Network and testing detection performance. …”
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Article -
11
An Analysis of Node/Peer Discovery Approach and Routing Algorithms in Mobile & Traditional Peer-to-Peer Networks
Published 2012“…A qualitative methodology approach was used for data sources. Documents related to node/peer discovery approach and routing algorithms were studied. …”
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12
AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm
Published 2025“…The SVM algorithm, a supervised learning model, plays a crucial role in improving the efficiency of tool selection, ultimately enhancing the speed and adaptability of vulnerability detection processes. …”
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13
Intelligent cooperative web caching policies for media objects based on J48 decision tree and naïve Bayes supervised machine learning algorithms in structured peer-to-peer systems
Published 2016“…In this work, intelligent cooperative web caching approaches based on J48 decision tree and Naïve Bayes (NB) supervised machine learning algorithms are presented. The proposed approaches take the advantages of structured peer-to-peer systems where the contents of peers’ caches are shared using Distributed Hash Table (DHT) in order to enhance the performance of the web caching policy. …”
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14
An evaluation on KNN-SVM algorithm for detection and prediction of DDoS attack
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Book Section -
15
BCLH2Pro: a novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes
Published 2024“…The algorithm has been developed into a user-friendly tool, BCLH2Pro, accessible via a web server. …”
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16
Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…To process large-scale data sequences, it is important to choose a suitable learning algorithm that is capable to learn in real time. …”
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SYN Flood detection via machine learning / Muhammad Muhaimin Aiman Mazlan
Published 2018“…The software will be trained by using NSL KDD Cup dataset in order to make it learns about the Neptune attack and as a result, it will be able to detect and prevent such attack. …”
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Student Project -
19
Home intruder detection system using machine learning and IoT
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Intelligent cooperative web caching policies for media objects based on J48 decision tree and Naive bayes supervised machine learning algorithms in structured peer-to-peer systems
Published 2016“…In this work, intelligent cooperative web caching approaches based on J48 decision tree and Naïve Bayes (NB) supervised machine learning algorithms are presented. The proposed approaches take the advantages of structured peer-to-peer systems where the contents of peers’ caches are shared using Distributed Hash Table (DHT) in order to enhance the performance of the web caching policy. …”
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