Author name: Nasim Gazerani

Nasim Gazerani was born in 1983 in Arak. She holds a Master's degree in Software Engineering from UM University of Malaysia.

Machine Learning-Assisted Anomaly Detection in Maritime Navigation Using AIS Data

Machine Learning-Assisted Anomaly Detection in Maritime Navigation using AIS Data

Abstract The automatic identification system (AIS) reports vessels’ static and dynamic infonnation, which are essential for maritime traffic situation awareness. However, AIS transponders can be switched off to hide suspicious […]

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A Game AI Competition to foster Collaborative AIresearch and development

A Game AI Competition to foster Collaborative AI research and development

Abstract Game AI competitions are important to foster research and development on Game AI and AI in general. These competitions supply different challenging problems that can be translated into other

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AI Agent in Software-Defined Network: Agent-Based Network Service Prediction and Wireless Resource Scheduling Optimization

AI Agent in Software-Defined Network: Agent-Based Network Service Prediction and Wireless Resource Scheduling Optimization

Abstract With the development of a Software-defined Network (SDN), there will be a large number of devices to access the network, which may cause an incalculable burden to the communication

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Predicting the Assisted Living Care Needs Using Machine Learning and Health State Survey Data

Predicting the Assisted Living Care Needs Using Machine Learning and Health State Survey Data

Abstract Effective pain management can significantly improve the quality of life and outcomes for various types of patients(e.g. elderly, adult, young) and often requires assisted living for a significant number

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Service Robot Navigation and Computer VisionApplication in a Banquet Hall Setting

Service Robot Navigation and Computer Vision Application in a Banquet Hall Setting

Abstract This paper describes a low computation system for a surveying service robot in a banquet hall setting. Automating this process will allow staff to focus on other tasks which

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Human microbiome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects

Human micro-biome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects

Abstract The human gut micro-biome is a complex ecosystem that both affects and is affected by its host status. Previous analyses of gut microflora revealed associations between specific microbes and

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Study of an Evaluation Model for AIS ReceiverSensitivity Measurements

Study of an Evaluation Model for AIS Receiver Sensitivity Measurements

Abstract To guarantee that ships can navigate safely, the International Maritime Organization mandates that all ships navigating internationally must install the automatic identification system (AIS). AIS works in the very

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