Predicting future returns and modeling return uncertainty are essential yet challenging tasks in portfolio optimization. To address these issues, this study proposes a hybrid approach combining machine learning for return prediction, bootstrapping fo... read more
Scaling and Latency Issues Processing blockchain transactions is a challenge with respect to throughput and latency, while also being resilient against quantum adversaries. To overcome these,m this research presents QRBT:Quantum Driven Reinforcement ... read more
BACKGROUND: Early and accurate classification of breast tumors from MRI scans is essential for improving patient outcomes. However, a key limitation of conventional deep learning models, such as Convolutional Neural Networks (CNNs), is their difficul... read more
Drug discovery is a complex and resource-intensive process, making early prediction of approval outcomes critical for optimizing research investments. While classical machine learning and deep learning methods have shown promise in drug approval pred... read more
PIWI proteins maintain genome integrity by piRNA-guided cleavage of complementary RNA targets. While Cleave-N'-Seq (CNS-seq) has advanced our understanding of PIWI targeting logic through quantitative mapping of cleavage rates and pairing rules, its ... read more
In the creative industries (one of the largest UK sectors, which operates at the juncture of business, technology and the arts) creative practitioners are not only consumers of Artificial Intelligence (AI), but also its developers, originators and in... read more
Even foundational models trained on large-scale datasets may learn to rely on non-relevant artifacts such as background color or color intensity, leading to overfitting and/or bias. To ensure the robustness of deep learning applications, there is a n... read more
INTRODUCTION: Depression frequently co-occurs with psychosis and is associated with poor outcomes. Early identification of patients at risk of persistent depression remains challenging, limiting opportunities for stratified treatment planning. This s... read more
BackgroundThe number of shipyard accidents should be reduced by examining the effects of the various demographic and workplace factors on the severity of the accident.ObjectiveThe study examines shipyard accidents and various occupational-behavioral-... read more
Effective detection of hazardous compounds such as explosives is a critical objective in the fields of security and environmental monitoring. However, these materials, especially in their solid phase, present considerable analytical challenges due to... read more
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