Search academic resources

Microscopic traffic flow models and simulations are crucial for capturing vehicle interactions and analyzing traffic. They can provide critical insights for transport planning, management, and operation through scenario ...

Background: Mastering speaking skills demands more than just theoretical knowledge; it also requires real-world application to foster meaningful and practical learning. In the Arabic Language Education Program at the ...

Car classification is important in daily life because there are many distinct types of automobiles made by various manufacturers. Although there are numerous methods for classifying autos, machine learning technologies h...

Aporta al profesorado todos los conocimientos y estrategias que necesita adquirir para llevar a cabo con éxito el modelo de aprendizaje inverso (flipped learning) que tan buenos resultados está dando a miles de profeso...

Do you think that higher education institutions, and the Distance Learning University (UNED) as a reference point for them, offer students of official Master's degrees the programmes they demand? Do you defend that the p...

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...

This research emerged from the need of consolidating a meaningful bilingual methodology for children from three- to five-years-of-age from low socioeconomic backgrounds belonging to the public education system, where the...

El libro Desafíos que Transforman: Experiencias y Reflexiones sobre el Aprendizaje Basado en Retos" presenta las claves de un modelo académico innovador centrado en la colaboración entre la universidad, las empresas y...

Abstract Learning from demonstration is widely regarded as a promising paradigm for robots to acquire diverse skills. Other than the artificial learning from observation-action pairs for machines, humans can learn to imi...

IntroductionParkinson’s disease (PD) is the second most common neurodegenerative disorder. The risk of frailty is significantly higher in patients with PD than in age-matched individuals without PD. This study aimed to...

ObjectiveTo develop an accurate and efficient binary classification model for predicting the binding capacity of endocrine-disrupting chemicals （EDCs） to the G protein-coupled estrogen receptor （GPER）.MethodsGPER...

Car-following models (CFMs) are fundamental to traffic flow analysis and autonomous driving. Although calibrated physics-based and trained data-driven CFMs can replicate human driving behavior, their reliance on specific...

This study examines the effectiveness of a Gamified Project-Based Learning (PjBL) strategy in enhancing students’ collaboration and creativity skills at SMP Al-Islam Krian Sidoarjo. Although PjBL has been widely implem...

Vehicle-based collision risk assessment methods often exhibit a tradeoff between simplifying assumptions in physics-based models and the interpretability challenges of learning algorithms. To tackle this, methods based o...

Semantic scene completion (SSC) plays a pivotal role in achieving comprehensive perceptions of autonomous driving systems. However, existing methods often neglect the high deployment costs of SSC in real-world applicatio...

Large language models (LLMs) have gained significant prominence in language processing, demonstrating remarkable performance across a wide range of tasks. Recently, LLMs have been explored in various scientific fields be...

The purpose of this study is to determine how the gamification-based OIDECCA learning model has an impact on students' motivation to excel in Natural Sciences (IPA) subjects in grade VII at SMP Negeri 6 Siak Hulu, Kampar...

Deep learning models are widely used in traffic forecasting and have achieved state-of-the-art prediction accuracy. However, their black-box nature presents challenges for interpretability and usability, particularly whe...

Photonic crystals (PhCs) have demonstrated great potential for use in integrated photonic systems. However, traditional design methods often struggle with low efficiency and limited flexibility. While deep learning appro...

This paper addresses the growing need for implementing intelligent Natural Language Processing (NLP) systems on low-power, memory-limited devices such as Raspberry Pi, mobile phones, and IoT edge hardware. As edge comput...

Recent developments in artificial intelligence (AI) have made significant improvements in understanding and enhancing pedestrian safety—a vulnerable road user group that receives less attention than motorized road user...

Abstract Model instability remains a core challenge for data‐driven parameterizations, especially those developed with supervised algorithms, and rigorous methods to address it are lacking. Here, by integrating machine...

Abstract The accurate prediction of the deterioration of Continuously Reinforced Concrete Pavement (CRCP) is essential for the effective management of pavements and the maintenance of infrastructure. In this study, a co...

Thinking skills as a cognitive process are life skills needed by students in academic activities. This study aims to implement the Project-Based Learning integrated with Science, Technology, Engineering and Mathematics (...