Search Results - (( based applications learning algorithm ) OR ( things applications using algorithm ))*
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Applications of deep learning algorithms for supervisory control and data acquisition intrusion detection system
Published 2022“…For each algorithm, prior works have been identified, examined, and described based on their conceptual similarities. …”
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Article -
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Diagnosis of breast cancer using case-based reasoning
Published 2012“…The application used the 100 data of Wisconsin Breast Cancer dataset for evaluating the CBR algorithm. …”
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Undergraduates Project Papers -
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IOT-based fertigation system / Mohamad Amir Furqan Darus
Published 2024“…The Fertigation, the precise application of water and fertilizers in agriculture, has evolved with the integration of Internet of Things (IoT) technology. …”
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Student Project -
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…New tools based both on clever applications of established algorithms and on new methodologies, empower us to do entirely new things. …”
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Final Year Project -
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Fog-cloud scheduling simulator for reinforcement learning algorithms
Published 2023“…Fog computing is a popular choice for Internet of Things (IoT) applications, such as electricity, health, transportation, smart cities, security, and more. …”
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Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment
Published 2022“…Here, the novelty of the work is the application of MVO algorithm in fine-turning the hyperparameters involved in BiGRU model. …”
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Determination of suitable resource discovery tool and methodology for high-volume internet of things (IoT)
Published 2021“…We found the concept was developed in previous researches, especially based on widely accepted concepts of Q-Learning discovery model. …”
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Conference or Workshop Item -
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Energy consumption optimization in the smart homes
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Proceeding Paper -
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A review on machine learning in smart antenna: methods and techniques
Published 2022“…In this paper, the antenna array and antenna developed for the Internet of Things applications were highlighted. In this paper, we review how machine learning techniques can handle these applications effectively and what the concept of adaptive antenna is and when it can be used in this day and age characterized by the rapid development of information technology.…”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…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 -
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…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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Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device
Published 2021“…This research will investigate the application of the Symbolic Aggregate Approximation (SAX) algorithm on top of known supervised machine learning techniques to perform EEG signal classification. …”
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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 -
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Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site
Published 2025“…Therefore, this thesis explores and studies public hardhat datasets, deep learning algorithms, power Internet of Things (PIoT), and edge computing to address the above issues. …”
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Thesis -
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