The demographic history of the Papua New Guinean (PNG) population is a subject of interest due to its early settlement in New Guinea, its relative isolation and substantial Denisovan ancestry. Previous research suggested an admixture with an early di...
Small (Weinheim an der Bergstrasse, Germany)
Jul 9, 2025
Electronic noses (e-noses) have become indispensable analytical platforms for gas detection. However, conventional e-nose systems face significant limitations in portable and wearable implementations due to their bulk and high-power consumption. Here...
Dementia is a degenerative and chronic disorder, increasingly prevalent among older adults, posing significant challenges in providing appropriate care. As the number of dementia cases continues to rise, delivering optimal care becomes more complex. ...
Uterine cancer also referred to as endometrial cancer, which significantly impacts the female reproductive organs. The early diagnosis increases the survival rates and also prevents the progression of endometrial cancer thereby, the novel Transfer Le...
Digital data are increasingly framed as essential resources in health and medicine, implicating diverse actors who work to transform them into different forms of value. In this article we focus on the diverse and contingent valuation practices that s...
Cybersecurity has often gained much popularity over the years in a fast-evolving discipline, as the number of cybercriminals and threats rises consistently to stay ahead of law enforcement. Recently, cybercriminals have become more complex with their...
Breast cancer remains a significant global health challenge among women, with histopathological image analysis playing a critical role in early detection. However, existing diagnostic models often struggle to extract complex patterns from high-resolu...
The deployment of biased machine learning (ML) models has resulted in adverse
effects in crucial sectors such as criminal justice and healthcare. To address
these challenges, a diverse range of machine learning fairness interventions
have been deve...
Accurate and continuous monitoring of soil moisture (SM) is crucial for a wide range of applications in agriculture, hydrology, and climate modelling. In this study, we present a novel machine learning (ML) based framework for generating a continuous...
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