Results 131 to 140 of about 114,527 (276)
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Facial expression recognition for emotion perception: A comprehensive science mapping
Facial expression recognition (FER) has emerged as a pivotal interdisciplinary research domain, bridging computer science, psychology, neuroscience, and medicine. By mapping the FER scientific knowledge graph, the study aimed to explore the technological evolution and forecast future application trends in this field.
Hou‐Ming Kan +10 more
wiley +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster +5 more
wiley +1 more source
The principle of adversariality in the criminal procedure of the USSR
The paper is devoted to the study of the development of the adversarial principle in the criminal procedure of the Ukrainian SSR. In its development, the adversarial principle went through two stages. The first stage is characterized by the abolition of the main elements of adversariality introduced into criminal procedure by the judicial reform of ...
openaire +1 more source
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya +7 more
wiley +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Dual-targeted adversarial noise for 3D point cloud classification model. [PDF]
Lee T, Lee S, Kwon H.
europepmc +1 more source
The graphical abstract outlines the progressive development and impact of stereotactic radiosurgery (SRS) and stereotactic body radiotherapy (SBRT). Technological Evolution illustrates the transition from brachytherapy with single‐dose, LDR/HDR schedules to fractionated radiotherapy, three‐dimensional conformal radiotherapy (3DCRT) and Gamma Knife ...
Jing Zhang +10 more
wiley +1 more source
Care and COVID 19: Lessons for liberals and neoliberals
Abstract Within the liberal political traditions, care is regarded as a private matter, a problem of ethics rather than justice. Social justice is framed as an issue of economics (re/distribution), culture (recognition) and/or politics (representation).
Kathleen Lynch
wiley +1 more source

