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Increasing Trend of Innovation in Education: Integrating Technology in Education Courses

The stand-alone computer course is the earliest IT training model in teacher education. Designed in the early 2000s, the course responded to increasing demands from schools that teachers have adequate technology skills. The primary goal was to improve technolo

Amitav Rath Amitav Rath

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Dr. Gurmeet Singh Kachoora Dr. Gurmeet Singh Kachoora

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Utilization of Digital Learning Media in Islamic Education to Increase Literacy and Innovation in the Era of Modern Technology

With the advancement of the times, all activities are very close to technology, especially young people who are not separated from technological activity patterns. The pattern of activity in the sense that can provide benefits and global competitiveness in the

Hamdi Hamdi

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Setria Utama Rizal

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Muhammad Redha Anshari

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Machine Learning-Based Intelligent Assistant for Smart Healthcare

D. Jeya Mala

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Machine Learning Model Deployment, Implementation, and Making Decisions

Machine learning based spectral interpretation in chemical detection

Fourier Series Weight in Quantum Machine Learning

In this work, we aim to confirm the impact of the Fourier series on the quantum machine learning model. We will propose models, tests, and demonstrations to achieve this objective. We designed a quantum machine learning leveraged on the Hamiltonian encoding. W

Comprehensive Data Preprocessing and Feature Engineering for Optimized Machine Learning Models

In machine learning, the quality of feature engineering and data preparation has a major impact on how effective predictive models are. This chapter offers a thorough analysis of sophisticated feature engineering and data pretreatment methods, emphasizing thei

Model Training for Tiny Machine Learning

Fundamentals of Machine Learning in Communication Systems

Rethinking data-efficient artificial intelligence for low-resource settings

Ronald Katende

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Explainable and trustworthy artificial intelligence, machine learning, and deep learning

The swift progression of artificial intelligence (AI), machine learning (ML), and deep learning (DL) has transformed different industries, offering unprecedented efficiency and innovation. Nevertheless, the growing intricacy and lack of transparency of these t

Suraj Kumar Mallick

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Machine Learning for Core-loss Spectrum

Characterization is indispensable for developing functional materials and molecules. In particular, spectroscopy provides atomic configuration, chemical bonding, and vibrational information, which are crucial for understanding the mechanism underlying the func