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Technologies have the potential to support and enable teacher professional development (TPD) programs for inclusive and equitable quality education and lifelong learning for all (United Nations, 2023). This paper reviews the technology-enabled ...

• Teacher professional development (TPD) programs during the pandemic were examined.
• Technology significantly supported TPD by fostering active learning and collaboration.
• Use of technology has to be improved to provide expert ...

Voice Conversion (VC) has gained attention due to its rapid development and increased accessibility. However, this also brings a potential threat for misuses. Consequently, it is crucial to thoroughly assess the performance of VC models. Current ...

The business landscape has evolved from isolated units to complex networks of interdependencies, leading to the rise of software ecosystems (SECO) with interconnected networks and strategic alliances around common technological platforms. Proprietary SECO ...

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• Dynamic probing for micro-environment changes is an approach to get optimum model.
• Micro-environment and AI-model are an approach to predict quality of produce.
• Slight differences in cucumber and strawberry quality predicted by CNN ...

An AI model was proposed to combine micro-environment to predict fruit and vegetables quality. The quality indicators (firmness, weight loss and decay incidence) of cucumber and strawberry changes were detected and evaluated during transportation ...

The academic publishing landscape is rapidly evolving, making quality assessments and impact evaluations of scientific papers increasingly challenging. Understanding the respective methods is crucial for maintaining the integrity, quality, and ...

Augmented Reality (AR) technology has revolutionized how users interact with digital content in real-world environments. However, ensuring the quality of AR experiences remains a complex challenge due to the diverse factors influencing user ...

Diversity and quality are two important factors that affect clustering ensemble performance. Some base clusterings are irrelevant and redundant, which decreases the performance of the clustering ensemble. By removing irrelevant and redundant ...

• Pair-wise method based on maximum-quality maximum diversity is proposed.
• Two types of non-pair-wise methods based on maximum-quality maximum diversity is proposed.
• An optimization formula based on quality and diversity is proposed.

• We present an approach to assess the quality of the text of safety standards.
• The approach is based on text quality analysis with RQA - Quality Studio.
• The approach can detect issues such as imprecision, ambiguity, and ...

Most safety-critical systems are subject to rigorous assurance processes to justify that the systems are dependable. These processes are typically conducted in compliance with safety standards, e.g., DO-178C for software in aerospace. This can be ...

RTs generally possess a fixed syntactic structure and comprise pre-defined slots, and requirements written in the format of RTs must conform with the template structure. Suppose the requirements do not conform to the RT. In that case, manually verifying ...

This paper aims to contribute to both theory and practice by describing current problem-solving practices, proposed by various authors, as part of the quality management process of companies in the automotive industry. The paper, based on ...

Emotion AI deals with the sentiments of human beings at various domains. It is named emotion AI as using the capabilities of AI the emotions of humans would be interpreted and analysed. The objective of this paper is to learn from the experience ...

• An inner approximation-based exchange algorithm is proposed.
• The fitted response functions are obtained where the design space is non-convex.
• A selected optimal design concept-based robust design model is introduced.
• A ...

Classic experimental designs effectively generate experimental design points under standard design spaces such as a circle, a cube, or a sphere. However, for non-convex design spaces, traditional experimental designs are not appropriate due to ...

Due to the great importance of student satisfaction with educational services, many HEIs conduct annual surveys. Analyzing the results of such surveys, tracking trends, and comparing the evaluation results to help governing bodies make data-driven ...

This study highlights the most pertinent m-learning content quality features that should be considered by designers from the point of view of experts to determine students' perceptions about suggested quality features and to measure any statistically ...

In an increasingly interconnected world, where critical infrastructures strongly depend on software applications there is the need to rely on software with demonstrated guarantees of reliability, availability, safety and security. Above all, ...

We propose a flexible framework that can be used to explore large-scale image datasets and summarize photo albums. Our proposed method first groups images based on their semantic content, and then selects the most diverse and aesthetically ...

This article reflects on effective supervision and possible guidance for enhancing quality of doctoral research in the computer science and engineering field. The aims of this study are (1) to understand supervision and the role of supervisors in ...

After the Federal Communications Commission issued its first closed captioning quality regulations in 2014, the captioning industry in the USA must monitor the closed captions they produce in order to ensure they comply with the rules in place. In ...

SMEs in the metal-mechanic industry in Peru play a crucial role in the development of the country's economy due to their relationship with various industries providing intermediate and final goods, as well as their contribution to employment generation; ...