Results 201 to 210 of about 5,561,446 (302)

Dimensionally constrained adversarial attack and defense in wind power forecasting. [PDF]

PLoS One
Min Y, Jiang C, Zhang L, Wen X, Tu J, Zhang J.   +5 more
europepmc   +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

Generative Adversarial Networks for Intrusion Detection Systems: A Comprehensive Survey of Applications, Challenges, and Research Directions. [PDF]

Arab J Sci Eng
Alauthman M, Aslam N, Al-Qerem A, Aldweesh A, Sureephong P.   +4 more
europepmc   +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

Improving Implied Volatility Forecasts for American Options Using Neural Networks

Journal of Futures Markets, EarlyView.
ABSTRACT This paper explores the application of neural networks to improve pricing of American options. Focusing on both American and European options on the S&P 100 index from January 2016 to August 2023, we integrate neural networks to model the difference between market‐implied and model‐implied volatilities derived from the Black‐Scholes and Heston
Haitong Jiang, Emese Lazar, Miriam Marra
wiley   +1 more source

SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare. [PDF]

PLOS Digit Health
Callender T, Boyd A, Davis R, Ruhrberg Estevez S, Lavista Ferres JM, van der Schaar M.   +5 more
europepmc   +1 more source

Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives

Health Care Science, EarlyView.
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley   +1 more source

ASQ-PHI: An adversarial synthetic data benchmark for clinical de-identification and search utility. [PDF]

Data Brief
Weatherhead J, Golovko G, McCaffrey P.
europepmc   +1 more source

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

Visual security defense for industrial inspection based on computer vision. [PDF]

PLoS One
Jiang Z, Yuan H, Zeng C, Fu L.
europepmc   +1 more source