Results 171 to 180 of about 172,371 (266)
Energy Science &Engineering, EarlyView.The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe +3 more
wiley +1 more source
Energy Science &Engineering, EarlyView.Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga +3 more
wiley +1 more source
Energy Science &Engineering, EarlyView.A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Caught in the fire: An accidental ethnography of discomfort in researching sex work
Feminist Anthropology, EarlyView.Abstract Drawing on fifteen years of engagement with researching Israel's sex industry, this article uses accidental ethnography to propose discomfort‐as‐method for feminist anthropology. I argue that discomfort is not a by‐product of fieldwork but a constitutive condition that disciplines researchers and shapes what can be known.
Yeela Lahav‐Raz
wiley +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.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
Health Care Science, EarlyView.Heart Rate Variability Estimation from Camera Videos ABSTRACT Background Studies have shown that heart rate variability (HRV) is a predictor of the prognosis of cardiovascular diseases. Contact heartbeat monitoring equipment is widely used, especially in hospitals, and benefits from the rapidity and accuracy of the detection of physiological health ...
Lan Lan +8 more
wiley +1 more source
Low Uncertainty Adversarial Examples
Neural networks are vulnerable to adversarial attacks. Adversarial samples are samples that have a small perturbation compared to the original input they were create from, but are misclassified by the attacked neural network. In the case of images, adversarial examples are generally indistinguishable from the original image by human perception.
openaire +1 more source
Facial expression recognition for emotion perception: A comprehensive science mapping
Ibrain, EarlyView.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
Interdisciplinary Medicine, EarlyView.Organoids and organ‐on‐a‐chips are advancing reproductive system research. In the female reproductive system, applications include cancer organoid models, placental chips, and hormone simulation models. For the male reproductive system, research focuses on drug resistance mechanisms, co‐culture platforms, and infertility studies. These refined in vitro
Hongqi Zhang +6 more
wiley +1 more source