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"This thesis investigates the application of machine learning methods to the task of deforestation monitoring using time-series satellite data. The objective is to assess how different algorithmic approaches perform in d...

The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

Abstract Objectives This is the protocol for a Campbell systematic review. The objectives are as follows: The first objective is to find and describe machine and statistical learning (ML) methods designed for moderator m...

Abstract BackgroundLong-term care facilities are increasingly caring for persons living with dementia as this population grows. Frontline care workers provide most hands-on support, yet they often have limite...

Several interdisciplinary studies highlight imperfect information as a possible explanation of skill mismatches, which in turn has implications for unemployment and informality rates. Despite information failures and the...

An end-to-end methodology based on deep learning for the detection and localization of microcalcifications in digital mammograms introduces a novel methodology designed for the preprocessing and localization of clusters ...

It is a privilege to present you with this stimulating book, which brings together an exceptional selection of ideas, experiences and reflections resulting from the meeting of a wide range of innovative educators from di...

The communicators’ training is one the fields with more updates due to constant changes faced every year. Therefore, digital native students have competencies developed in an informal way that become a natural bridge t...

We investigated the longitudinal predictors of reading and spelling of words and pseudowords with different syllabic structures in a shallow orthography. Participants were 47 Spanish-speaking children from kindergarten t...

In the last decade, there has been a significant increase in the number of papers related to machine learning and the application of machine learning in various fields of science. Belmonte et al. observed that between 20...

Background: This research is motivated by the gap between the importance of learning Arabic and the difficulties faced by students in learning Nahwu through the Al-Jurumiyah textbook. Purpose To determine the applicati...

Background: Inclusive education poses challenges for Arabic language teaching in pesantren-based madrasas, where student diversity in abilities and backgrounds requires adaptive learning approaches. Purpose: This study...

Modern medical education stresses upon the use of active learning and peer interaction, which improve communication skills, motivation, and acquisition of knowledge. This study aimed to compare the efficacy of fishbowls ...

Early defect detection in pipelines is critical across industries, particularly in the oil and gas sector, where failures result in significant maintenance costs and operational disruptions. Acoustic guided-wave techniqu...

Recently, deep learning has yielded transformative success across optics and photonics, especially in optical metrology. Deep neural networks (DNNs) with a fully convolutional architecture (e.g., U-Net and its derivative...

With the constant advancement of the smart grid, zero-day attack processes in Advanced Metering Infrastructure (AMI) and Supervisory Control and Data Acquisition (SCADA) networks are also continually evolving. This study...

Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...

Abstract To solve problems of poor security guarantee and insufficient training efficiency in the conventional reinforcement learning methods for decision-making, this study proposes a hybrid framework to combine deep re...

This study compares traditional and digital learning methods in developing design and visualization skills among fourth-year architecture students at a private higher education institution in Cebu City, Philippines. It f...

Learning style refers to an individual's process of understanding and absorbing information, which is influenced by sensory preferences, problem-solving strategies, and communication styles. This research explains the le...

Creating a multicultural society that coexists peacefully amidst various kinds of differences is not an easy thing. The fact that multicultural society is still challenging to realize is a serious problem, not only for o...

The effective and efficient of Diniyyah Learning Management Program is one of the supporting factors to achieve the learning objectives of diniyah program to produce a generation that is able to read al-Quran and has a t...

ABSTRACT Plant diseases are the cause of heavy losses of crop production and, therefore, a big contributor to food shortages. Identifying these diseases as early as possible is important to limit the negative effects tha...

This research is motivated by the importance of a humanistic-religious approach that prioritizes the learning process rather than learning outcomes. While there are still many schools that do not understand the positive ...