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Financial Fraud Detection of Digital Transaction Using Artificial Intelligence & Machine Learning

A Simple Ensemble Learning Knowledge Distillation

Deep neural network (DNN) has shown significant improvement in learning and generalizing different machine learning tasks over the years. But it comes with an expense of heavy computational power and memory requirements. We can see that machine learning applic

PREDICTING STUDENTS' PERFORMANCE IN DISTANCE LEARNING USING MACHINE LEARNING TECHNIQUES

Machine Learning: Artificial Neural Networks

Map Learning with Indistinguishable Locations

Reinforcement Learning

Frontiers of Artificial Intelligence and Machine Learning: From Deep Learning Architectures to Industry 5.0 Applications

Abstract: Artificial intelligence and machine learning increasingly shape scientific discovery, economic production, and public governance, yet the field’s rapid scaling demands rigorous research design and accountable deployment. This manuscript offers an a

Murali Krishna Pasupuleti

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Understanding the Basics of Machine Learning and Tiny Machine Learning

Nurul Hikmah

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Creation of CERID: Challenge, Education, Research, Innovation, and Deployment “In the Context of Smart MicroGrid”

The iGrid project deals with the design and implementation of a solarpowered smart microgrid to supply electric power to small rural communities. In this paper, we discuss the roadmap of the iGrid project, which forms by merging the roadmaps of KIC (knowledge

Masoumeh Ebrahimi

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Amleset Kelati

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Emma Nkonoki

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Aron W. Kondoro

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Diana Severine Rwegasira

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Imed Ben Dhaou

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Ville Taajamaa

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Hannu Tenhunen

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STUDENTS’ ATTITUDES TOWARDS TECHNOLOGY EDUCATION IN FINLAND, ESTONIA AND ICELAND

This paper is basedon a comparative study of craft and technology education curriculums andstudents’ attitudes towards craft and technology in Finland, Estonia andIceland. The study was undertaken by the Helsinki University, University ofTallinn and Universi