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Artificial intelligence (AI), machine learning (ML), and advanced computing techniques are now central to the digital transformation journey, reshaping industries, academia, and society. This special issue of the Journal...

This paper gives a good reflection about social web engineering aspirations to ardently see the truth to enlighten culinary concentration and wisdom. With the compassionate path to discover food and engage customers to s...

Biotic and abiotic stresses reduce crop yields, yet existing image‑based diagnostic models are often crop‑specific, computationally intensive, and poorly interpretable. This study present: (i) a multi-crop diagnostic...

Disease Diagnosis in crops is a very expensive and lengthy process, as it often involves the need for few experts to make observations, leading to delayed diagnosis, viral spread of diseases, and thus, massive economic l...

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...

Accurate velocity estimation plays a key role in ensuring precise motion control and safe navigation of ground robots. Ground-view event cameras provide a reliable sensing modality for this task. They exploit the static ...

IntroductionClinical internship education for Chinese clinical medicine interns faces dual pressures of postgraduate entrance exams and the National Medical Licensing Examination (NMLE), with persistent flaws in self-dir...

Este artículo presenta el diseño de un algoritmo basado en redes neuronales en tiempo discreto para su aplicación en robótica móvil. También se muestran las condiciones de estabilidad y una evaluación de los resul...

Teaching chemistry on the topic of atomic structure still faces challenges due to its abstract nature and the limitations of teaching materials in visualizing the concept. The use of Assemblr Edu, which provides interact...

Convolutional Neural Network Twin Arm Robot for Automated Packing of Electronic Components is an intellectual robotic system that is developed as a COCA (Collaborative Operation Control Agent) operational handler of the ...

This paper presents a study investigating the use of digital technology - tablets and mobile phones by six pre-school children in Požega, Croatia and the way this technology facilitated the English language learning pro...

Background: Medical waste management in resource-limited healthcare facilities remains dominated by manual segregation, which is error-prone and difficult to standardize. Existing automated solutions often rely on cloud-...

Background: Conventional electrocardiography (ECG) analysis faces a persistent dichotomy: Expert-defined features provide interpretability but are limited in capturing latent high-dimensional patterns, whereas deep learn...

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 ...

IntroductionIn recent years, widespread internet and mobile device use has reshaped adolescents’ reading, study, and information-evaluation practices. In Chile, this occurs in a context of high connectivity but persist...

Abstract Purpose This study introduces a new Convolutional Neural Network (CNN) architecture, EyeDiagNet, for the classification of fundus images into four classes: normal, cataract, diabetic retinopathy (DR), and glauco...

Colorimetric assays offer a low-cost, accessible means of diagnostic testing but often suffer from subjective interpretation and variability caused by inconsistent imaging conditions. To address these challenges, we pres...

Abstract This study seeks to address persistent challenges in traditional music education, particularly the subjectivity inherent in assessment criteria and the frequent delays in feedback, by harnessing the capabilities...

Abstract Background Digital teaching methods are established for imparting theoretical knowledge in the training of health professions. While digital formats are increasingly used in education, evidence on their capacity...

En una institución rural, en zona turística del nororiente colombiano, con cerca de 1000 estudiantes en 7 sedes, con 8 computadores de escritorio y conexión a internet lenta, sin Wi-Fi; previa autorización del Rector...

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Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains ...