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The identification, preservation, analysis, and presentation of electronic evidence to support legal or organizational inquiries constitute the discipline of digital forensics, which is crucial to contemporary investigat...

ABSTRACT The purpose of this paper is to present the LITTERA corpus, an English-Spanish literary parallel speech corpus created for the purpose of language learning, and to sketch out a few pedagogical applications for t...

ObjectiveCurrently, the insufficient full-element digitization and the prevalence of “data silos” in fully mechanized mining faces (FMMF) result in poor cutting precision and operational instability of shearers under...

Learners face numerous hurdles while acquiring a second language. The use of mobile applications and digital technologies in language learning enhances the language proficiency of the learners. The objective of the study...

English language acquisition in resource-constrained contexts presents unique challenges for learners worldwide. This study examines how Bangladeshi children aged 8–14 acquire English across rural and low-income urban ...

Abstract The accurate estimation of parameters is the premise for establishing a high-fidelity simulation model of a valve-controlled cylinder system. Bench test data are easily obtained, but it is challenging to emulate...

O uso de dados de sensoriamento remoto óptico em projetos de monitoramento de extensas áreas de floresta tropical é limitado devido à intensa cobertura por nuvens. Os dados SAR (Synthetic Aperture Radar) podem ser um...

As cities experience the digital transformation of the information era, informed decision-making becomes a first-hand necessity. Urban Digital Twins (UDTs), as the natural evolution of the smart city, are digital replica...

The NASA-ISRO Synthetic Aperture Radar (NISAR) mission will advance global soil moisture monitoring through high-resolution L-band observations. However, accurate fine-scale retrieval remains challenging due to the 12-da...

Falls among older adults pose a major healthcare and social burden, making early identification of high-risk individuals essential for prevention. This study presents a portable, non-invasive AI-based wearable system tha...

Abstract Bronchopulmonary dysplasia (BPD) is a common complication among preterm neonates, with portable X-ray imaging serving as the standard diagnostic modality in neonatal intensive care units (NICUs). However, lung m...

ABSTRACT This research aimed to compare statistical methods (random forest, RIDGE, LASSO, and elastic net regression) for the prediction of body weight in purebred and crossbred pigs reared in Brazil. This prediction was...

In this scoping review, we investigate music skill acquisition from an embodiment perspective. We conceptualize the acquisition of musical expertise, not only as a technical process but as a gradual incorporation process...

Here, we present preliminary results from research investigating the influence of different pedagogical methods on skill acquisition amongst novice knappers, with implications for interpreting the Paleolithic and devisin...

The phases of preparation, analysis, integration, initial interpretation of data and intelligence are relatively widely described in the literature. Only the field of assessing the certainty of sources and the reliabilit...

Abstract In previous work, we introduced an ‘invisible’ ECG system with electrodes integrated into a toilet seat, capturing signals from the thighs. Here, we present the tOLIet dataset with single-lead thigh ECGs to ...

Abstract An accurate modeling of materials is essential to obtain reliable results in fields calculation. The Jiles-Atherton approach is widely used for modeling the magnetic hysteresis and depends on its set of five par...

Abstract In the realm of engineering practice, various factors such as limited availability of measurement data and complex working conditions pose significant challenges to obtaining accurate load spectra. Thus, accurat...

Abstract This study presents an integrated low-cost IoT-based evaluation framework assessment of photovoltaic (PV) modules enhanced using low-cost planar reflectors, supported by a custom IoT-based data logging system fo...

Power transformers are critical components of power systems, and their safe and reliable operation is essential for both industrial and residential applications. Real-time condition monitoring and early fault detection a...

Abstract The co-frequency vibration fault is one of the common faults in the operation of rotating equipment, and realizing the real-time diagnosis of the co-frequency vibration fault is of great significance for monitor...

The analysis and modeling of educational data are of great significance to the evaluation of teaching quality and personalized learning guidance. However, the acquisition of academic data is often limited by the costs of...

Abstract Background This pilot randomized controlled trial evaluated the effectiveness of an artificial intelligence (AI)–assisted solo workflow for intraoral photography training. The study examined whether real‑tim...

Electronic dictionaries are important tools for enhancing vocabulary among foreign language learners. This research investigates Turkish EFL preparatory students' perspectives on the advantages and disadvantages of using...