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Wildfires are natural hazards that threaten ecosystems, communities, and economies, and they have shown a significant increase in frequency and intensity in recent years. Accurate wildfire spread prediction is critical f...

The article examines the role of Massive Open Online Courses (MOOCs) in the professional activities of university teachers in Ukraine, particularly in the context of digital transformation and the disruption of tradition...

Abstract Matching college students with appropriate innovative training projects is a challenging task that often relies on static assignment techniques, which overlook individual interests, skills, and learning styles. ...

Abstract The one-minute paper is widely used in higher education to promote active learning and reflection, yet its use in English-as-a-foreign-language classrooms remains under-explored. This study examined Japanese col...

Abstract Background Tuberculosis (TB) remains a critical global public health issue, particularly in rapidly urbanizing regions where population density and migration facilitate transmission. While whole-genome sequencin...

This paper proposes a multimodal perception-fusion-based control method for flexible exoskeleton robots to address challenges in human–robot collaboration and interaction accuracy. First, after analyzing the human–ro...

Abstract High-density, long-term stable decoding of whole-brain function is crucial for advancing basic neuroscience research and developing neural disorder therapies. However, two major challenges remain: the lack of sc...

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...

Abstract Failures of flexible pavements have been attributed to the indiscriminate use of lateritic soils without prior characterisation. This study investigates the compaction behaviour of lateritic soils at Ife-Sekona ...

Abstract Accurate prediction of terrestrial water cycle variables like soil moisture (SM) and evapotranspiration (ET) is crucial, yet existing Deep Learning (DL) models face limitations. Many adopt Single-Task Learning (...

This research examined comments in open response areas from 228 faculty and 659 student surveys regarding learning mode preference (classroom, online, video synchronous) instructor competence with technology and the impa...

Amidst Canada’s productivity crisis and widening social inequities, Humber Polytechnic’s Building Brilliance vision proposes that economic and social development must be treated as mutually reinforcing priorities rat...

The utilization of digital technology has significantly transformed the way Muslims study the Qur'an. Digital Qur'an applications, online platforms, and artificial intelligence (AI) provide easier and faster access to re...

Selected aspects of methodological developments in socio-economic research are addressed from a conceptual perspective, with outlining the areas of transformations in methodology, and illustrating the feasibilities of it...

More flexible and cooperative decision-making processes are required as a result of society's digital transformation. The role of augmented intelligence, that is the synergistic fusion of artificial intelligence and huma...

ABSTRACT Gamification has gained momentum in STEM education as a way to boost student engagement, motivation, and conceptual learning. A wide variety of games, from short in-class activities to long-format student-built ...

Controlling nonlinear pulse propagation in optical fibers is paramount for applications spanning spectroscopy and optical communication networks. However, the inherent complexity of laser pulse evolution in matter, shape...

Inverse sensing is an important research direction to provide new perspectives for optical sensing. For inverse sensing, the primary challenge is that scattered photon has a complicated profile, which is hard to derive a...

This study proposes a two-level stacking machine learning approach for predicting rainfall erosivity (Rm) in Taiwan, providing a flexible alternative to traditional empirical methods. Conventional models rely on limited ...

Background: Climate change and increasing water scarcity pose significant challenges to sustainable water, sanitation and hygiene (WASH) service delivery in rural Africa. In Ethiopia, poor maintenance of rural water sch...

Background: Vocabulary mastery is a key challenge for junior high school students, as they often face difficulties in remembering and applying new words effectively. Purpose: This study aims to explore students’ perc...

This research uses two object detection algorithms, Faster R-CNN with ResNet50 backbone and YOLOv5, to develop an intelligent camera system for monitoring volcanic activities. The models were trained and evaluated using ...

Background Living Labs have proven to be valuable environments for fostering innovation through user-centred approaches. However, many researchers and companies still face challenges in implementing these methodologies s...

Recent advances in artificial intelligence are reshaping collaborative and industrial robotics, enabling a transition from deterministic, pre-programmed automation toward adaptive, learning- enabled systems. This paper s...