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Abstract Background The current AJCC staging system for breast cancer categorizes all distant metastases under a monolithic M1 designation, failing to capture profound heterogeneity in outcomes. This study aimed to devel...

Abstract Understanding human emotions across multiple modalities such as text and images, is increasingly important for applications including content personalization, social media analysis, and Human–Computer Interact...

ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL...

In this work, a structured hierarchy of hyperdatasets for Monkeypox image classification is presented, aiming to evaluate the robustness and generalization ability of deep classification models for Mpox detection. A syst...

O presente artigo analisa, inicialmente, a posição majoritária da doutrina segundo a qual o Direito se constitui em autêntica e genuína ciência autônoma, abordando o conceito de ciência, a classificação binári...

Abstract In many real-world applications, binary and multi-class classification problems involving imbalanced data and overlapping boundaries present a significant challenge for traditional machine learning algorithms. I...

Purpose of this study is to develop a method for accurate capillary area extraction from a captured image using RGB and HSV features. Experiments were conducted with eleven subjects. The proposed method utilizing OpenCV...

The P300 component of event-related potentials (ERPs) is widely used in the implementation of brain computer interfaces (BCI). In this context, one of the main issues to solve is the binary classification problem that en...

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 Canine gait analysis using wearable inertial sensors is gaining attention in veterinary clinical settings, as it provides valuable insights into a range of mobility impairments. Neurological and orthopedic condi...

Abstract National‐scale benthic marine habitat maps underpin monitoring and conservation of vulnerable marine and coastal ecosystems. Cloud‐based satellite remote sensing can streamline these processes over spatial s...

Abstract Machine-generated music (MGM) has become a groundbreaking innovation with wide-ranging applications, such as music therapy, personalised editing, and creative inspiration within the music industry. However, the ...

To address the challenges of aviation safety information overload in Pre-flight Information Bulletin (PIB) systems, this study proposes an intelligent classification framework (ERNIE-DPCNN) that integrates knowledge-enha...

Abstract BackgroundDepression affects more than 300 million people worldwide and is a leading contributor to the global disease burden. Traditional diagnostic methods, such as structured clinical interviews, ...

Kun-Yin Qiu,1,2,* Xiong-Yu Liao,1,2,* Hai-Lei Chen,2,3,* Hong Zheng,1,2,* Jian-Pei Fang,1,2 Dun-Hua Zhou1,2 1Department of Hematology/Oncology, Children’s Medical Center, Sun Yat-sen Mem...

Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...

People are increasingly reliant on the internet for communication and various devices in their daily lives. The Internet of Things (IoT) has dramatically changed many industries by allowing more automation and easy data ...

Antimicrobial resistance represents a major global health challenge, particularly in the context of multidrug-resistant bacteria. Although conventional antibiotics and antimicrobial peptides (AMPs) both exert selective p...

The article examines threats to the financial and innovative security of hospitality enterprises at the micro and macro levels. The relevance of the topic is due to the fact that the functioning of enterprises in this se...

Abstract Background Total serum bilirubin concentration (TBIL) can provide useful information on several pathophysiological conditions in cats. Nevertheless, whether the variable severity classification of hyperbilirubin...

Abstract Background Acetabular fractures, predominantly caused by high-energy trauma, pose a substantial healthcare burden in low- and middle-income countries (LMICs) such as Nepal. This study aimed to characterize the e...

Abstract Introduction The geriatric population is the fastest-growing age group and accounts for one-third of surgical patients. A growing body of evidence reveals that postoperative cognitive dysfunction (POCD) is the m...

Implicit learning is a fundamental cognitive process whose identification is critical for understanding human cognition and developing innovative training methodologies. We propose a generalizable feature selection and s...