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Mathematics in the Modern World (MMW) is a core general education course that develops quantitative reasoning and applied problem solving, yet many first-year students struggle with its concepts and applications. Such ch...

While traditional Project-based Learning (PjBL) enhances engagement, creativity, and conceptual understanding, emerging socioformative approaches are pedagogies that highlight the need for interdisciplinary, ethically gr...

Research on collaborative learning in English for Specific Purposes (ESP), particularly from the students’ perspectives, remains relatively limited due to prevailing focuses on teacher-centered approaches and individua...

Abstract Given the increased autonomy and limited direct instructor presence in online learning settings necessitating advanced self-regulated learning skills (SRLs), many online students face significant learning diffic...

Background-This study examines the effectiveness of ChatGPT-assisted Problem-Based Learning (PBL) in improving student learning outcomes in civic education. Traditional PBL often relies on tutor facilitation, which can r...

Abstract Intertidal macrobenthos are vital bioindicators of coastal ecosystem health due to their ecological roles, limited mobility, and sensitivity to environmental disturbances. However, traditional field‐based moni...

Abstract The rising complexity of urban areas, along with growing public safety needs, has made intelligent video surveillance systems more essential. The current surveillance systems that rely on human observation and p...

To address the difficulty of blasthole detection during the charging phase of drill-and-blast tunnelling, which is aggravated by dust interference and insufficient illumination, this study proposes an intelligent blastho...

In the context of global warming, heavy precipitation is a frequent and impactful hazardous event. Timely identification of meteorological conditions associated with heavy rainfall is critical for urban flood risk manage...

Abstract Federated Learning (FL) has been widely used in Internet of Things (IoT) environments as a promising decentralized framework capable of collaborative model training without exposing local data. Despite its advan...

The rapid growth of Internet of Things (IoT) devices, including smartwatches, home assistants, and connected appliances, has brought significant convenience to daily life, but it has also introduced serious security chal...

Lung diseases such as pneumonia, tuberculosis, COVID-19, and lung cancer remain significant global health challenges that demand rapid and accurate diagnosis to improve patient outcomes. This study proposes NASNet-ViT, a...

Abstract Early and reliable smoke detection is critical for preventing fire-related disasters, safeguarding human lives, and ensuring infrastructure safety. Conventional sensor-based systems, however, are often constrain...

Abstract The deep reinforcement learning techniques offers a novel approach to real-time control for hybrid power flow controllers. This paper introduces a bus voltage optimization adjustment strategy, utilizing a Markov...

With the continuous innovation in household appliance technology and the improvement of living standards, the production of discarded household appliances has rapidly increased, making their recycling increasingly signif...

Intelligent tire systems (ITS) enable direct sensing of tire and road interaction using sensors mounted inside the tire, providing information that is difficult to obtain from conventional vehicle-mounted sensors. Howeve...

The rapid growth and increasing complexity of Internet of Things (IoT) networks require efficient real-time monitoring and anomaly detection mechanisms. Traditional machine learning approaches often struggle to handle th...

IntroductionThe proliferation of generative artificial intelligence (AI) has created unprecedented opportunities for informal second language (L2) learning, yet the psychological mechanisms through which AI-mediated lear...

Efficient UAV path planning in large and dynamic environments requires adaptive strategies that account for varying regional importance. Traditional coverage or Reinforcement Learning-based methods often suffer from redu...

The recent Zero-Trust Architecture (ZTA) is progressively adopted to the develop network security by assuming no implicit trust within or outside an organization’s boundary. Though, ZTA faces substantial challenge...

Oceans have often been treated as peripheral to learning and heritage, framed as unstable spaces separating land-based cultures and institutions. Recent work in island studies and the blue humanities has challenged this ...

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...

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...

Abstract Object classification in decentralized environments is critically hindered by data heterogeneity and privacy constraints, which cause models to learn spurious, client-specific correlations rather than generaliza...