Fuzzy Generalized Hebbian Algorithm for Large-Scale Intrusion Detection System

Ali, Ahmed Hussein; Aljanabi, Mohammad; Ahmed, Munef Abdullah

doi:10.30880/ijie.2020.12.01.008

Cited by 11 publications

(7 citation statements)

References 16 publications

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“…Strong community and social components enable large player interactions and Metaverse collaboration. Cross-platform compatibility players play on any device [20]. A cutting-edge Metaverse game requires graphics, physics, AI, and networking technology.…”

Section: Creating Vast and Immersive Gaming Universesmentioning

confidence: 99%

Metaverse: open possibilities

Aljanabi,

Mohammed

2023

ijcsm

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To create a completely immersive, highly spatiotemporal, and self-sustaining virtual shared place for humans to play, work, and interact, the Metaverse is an emerging paradigm of the next-generation Internet. Metaverse is transitioning from science fiction to a near-future reality thanks to recent developments in new technologies like extended reality, artificial intelligence, and blockchain.In this study, we investigate the Metaverse, a shared, fully immersive virtual environment that could serve as a model for the Internet’s future generation. Safety, education, games, entertainment, social effects, the economy, ethics, and future issues are just few of the many areas covered. The Metaverse’s innovative tools for communication and collaboration may have a profound impact on people’s daily lives and the way society operates as a whole. However, there are obstacles that must be addressed before it can be implemented. If the Metaverse is accepted, a far different digital future is possible.

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Section: Creating Vast and Immersive Gaming Universesmentioning

confidence: 99%

Metaverse: open possibilities

Aljanabi,

Mohammed

2023

ijcsm

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“…The key benefits of this work were easy to understand, simple processing, and minimal overfitting. Thangaselvi, et al [30] implemented an Optimal Artificial Neural Network (OANN) technique for detecting the chronic heart diseases with reduced cost consumption. The key factor of this work was to incorporate the Teaching-Learning Based Optimization (TLBO) with ANN for developing an accurate and efficient heart disease detection system.…”

Section: Mir and Dhagementioning

confidence: 99%

An Articulate Heart Attack Detection System Using Mine Blast Optimization (MBO) Based Multilayer Perceptron Neural Network (MLPNN) Model

Shanthi

Selvaganesh

2023

ijcsm

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The creation of an automated system for heart disease detection was once one of the more common undertakings in the healthcare industries. For this purpose, the different types of big data analytics technologies are developed in the conventional works to predict the heart disease. Still, it limits with the problems associated to the elements of high complexity, time consumption, over fitting, and mis-prediction results. Because the previous methods did not optimize the best features, they did not give accurate results in heart attack detection, so the system is needed to control the death ratio.Therefore, the proposed work objects to implement a novel Mine Blast Optimization (MBO) based Multi-Layer Perceptron Neural Network (MLPNN) technique to predict the heart attack from the given datasets. The proposed detection framework includes the stages of preprocessing, feature optimization, and classification. Here, the regression based preprocessing model is implemented to normalize the attributes for increasing the quality. Then, the MBO technique is also used to choose the relevant features based on the best optimal solution. It also helps to reduce the increase the training of classifier with reduced time consumption and high detection accuracy. Finally, the MLPNN technique is utilized to predict the classified label as whether normal or disease affected. During analysis, the results of the proposed MBO-MLPNN technique is validated and compared by using various measures. Here the proposed method achieved 98% accuracy performance for heart attack detection than former methods.

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“…GIS-T are integrated technologies, software, people, data, firms, and institutional frameworks for gathering, storing, analyzing, and disseminating specific earth-related information [25]- [27]. Geographic regions and transportation systems that impact or are affected by these systems are the specific forms of information.…”

Section: Geographic Information Systems-transportation Data Modelsmentioning

confidence: 99%

Improved GIS-T model for finding the shortest paths in graphs

Raed Abdulkareem Hasan,

Mustafa Mahmood Akawee,

Tole Sutikno

2023

Babylonian Journal of Machine Learning

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A system of models and methods is proposed for the stated problem, which is the development of software for searching the shortest paths in graphs. These models and methods are based on a comparative analysis of various types of geographic information system-transportation (GIS-T) and optimization methods that pertain to searching for the shortest paths in a graph. The goal of this research is to find a solution to the problem. The fundamental ideas behind GIS-T and computational geometry (CG), in addition to the approach of combinatorial optimization, were utilized in this endeavor. Compilation of the newly developed software takes place in the Java Eclipse development environment. Examples of graphic interfaces and potential solutions are used to illustrate its capabilities in relation to the quest for the shortest routes possible within the confines of a particular geographic area. The compiled geographic information system (GIS) tool known as "route" determines the routes that are the shortest distance between existing settlements as well as those that have been defined by the user. In addition to this, it enables the problem to be solved in circumstances in which certain roads become inoperable or certain settlements may be reached via the specified field roads.

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Fuzzy Generalized Hebbian Algorithm for Large-Scale Intrusion Detection System

Cited by 11 publications

References 16 publications

Metaverse: open possibilities

Metaverse: open possibilities

An Articulate Heart Attack Detection System Using Mine Blast Optimization (MBO) Based Multilayer Perceptron Neural Network (MLPNN) Model

Improved GIS-T model for finding the shortest paths in graphs

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