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.

A Time Domain Artificial Intelligence Radar System Using 33-GHz Direct Sampling for Hand Gesture Recognition

A Time Domain Artificial Intelligence Radar System Using 33-GHz Direct Sampling for Hand Gesture Recognition

Abstract This article introduces a time-domain-based artificial intelligence (AI) radar system for gesture recognition using 33-GS/s direct sampling technique. High-speed sampling using a time-extension method allows AI learning to be […]

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Point Me In the Right Direction: Understanding User Behaviour with As-The-Crow-Flies Navigation

Point Me In the Right Direction: Understanding User Behaviour with As-The-Crow-Flies Navigation

ABSTRACT Visual as-the-crow-flies (ATCF)  methods are an increasingly popular alternative to existing turn-by-turn (TBT) navigation for cyclists. To better understand how people use them in everyday navigation and how they

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Mitigating the Negative Impacts when Designing Educational VR Applications for Children

Mitigating the Negative Impacts when Designing Educational VR Applications for Children

Abstract Educational VR applications, mainly designed for children, are often used to showcase the benefits of VR. While such applications highlight a lot of the potentials for future learning environments,

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A Framework of Touchscreen Interaction Design Recommendations for Children (TIDRC): Characterizing the Gap between Research Evidence and Design Practice

A Framework of Touchscreen Interaction Design Recommendations for Children (TIDRC): Characterizing the Gap between Research Evidence and Design Practice

ABSTRACT HCI researchers have established a number of evidence-based design recommendations for children’s touchscreen interfaces based on developmental appropriateness. Yet, these recommendations are scattered within the academic literature and lack

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Learning Through Exploration: How Children, Adults, and Older Adults Interact with a New Feature-Rich Application

Learning Through Exploration: How Children, Adults, and Older Adults Interact with a New Feature-Rich Application

ABSTRACT Feature-rich applications such as word processors and spreadsheets are not only being used by adults but increasingly by children and older adults as well. Learning these applications is challenging

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Classification of Grape Leaves using KNN and SVM Classifiers

Classification of Grape Leaves using KNN and SVM Classifiers

Abstract As it is known, in today’s world gross domestic product (GDP) determines the prosperity of a nation. Agriculture directly adds to the GDP, subsequently, incredible endeavors are to be

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Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

Abstract Rotating machinery fault diagnosis problems have been well-addressed when sufficient supervised data of the tested machine are available using the latest data-driven methods. However, it is still challenging to

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Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-determination Theory Perspective

Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-determination Theory Perspective

Abstract The teaching of artificial intelligence (AI) topics in school curricula is an important global strategic initiative in educating the next generation. As AI technologies are new to K-12 schools,

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Machine Learning Security: Threats, Countermeasures, and Evaluations

Machine Learning Security: Threats, Countermeasures, and Evaluations

Abstract Machine learning has been pervasively used in a wide range of applications due to its technical breakthroughs in recent years. It has demonstrated significant success in dealing with various

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