Results 171 to 180 of about 102,807 (280)

Random Neural Networks for Rough Volatility. [PDF]

Appl Math Optim
Jacquier A, Žurič Ž.
europepmc   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

A novel hybrid extreme learning machine-based diagnosis model for sensor node faults in aquaculture. [PDF]

Sci Rep
Shi B, Gao Z, Pu T, Jiang J, Sun Y.
europepmc   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

Future Postharvest and Food, EarlyView.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh, Anurag Singh, Ashutosh Upadhyay, Navneet Kumar   +3 more
wiley   +1 more source

Specification-compliant fracture parameter extraction and rock mass classification on tunnel faces with improved YOLOv8-seg. [PDF]

Sci Rep
Wang Z, Zhou L, Fu D, Zhang Z, Zhang S, Zhang M.   +5 more
europepmc   +1 more source

Aloe vera in Food Preservation: Harnessing Bioactive Constituents for Clean‐Label Innovation and Safety Assurance

Food Safety and Health, EarlyView.
Aloe vera‐derived biopolymers and nanoformulations enhance antimicrobial, antioxidant, and barrier functions in clean‐label edible coatings and films, whereas safety‐critical anthraquinone thresholds and regulatory constraints shape their translational potential.
Acharya Balkrishna, Hemant Sharma, Sonam Verma, Amar Jeet, Sumit Kumar Singh, Sharad Kumar Tripathi, Vedpriya Arya   +6 more
wiley   +1 more source

Pre-harvest dynamics of <i>Aspergillus</i> section <i>Flavi</i> and aflatoxin risk in hazelnut orchards of Azerbaijan. [PDF]

Front Plant Sci
Casu A, Camardo Leggieri M, Chiusa G, Zagottis E, Genova G, Battilani P.   +5 more
europepmc   +1 more source

A Comprehensive Review on the Significance, Sources, and Applications of Virtual Water on Global Platform

Food Safety and Health, EarlyView.
A conceptual framework of virtual water showing its sources, major applications, components of the virtual water footprint, and emerging future directions. The diagram emphasizes the growing role of virtual water in global sustainability and resource planning.
Priti Bhowmik, Charu Rajpal, Vinay Kumar Pandey   +2 more
wiley   +1 more source

HCHS-Net: A Multimodal Handcrafted Feature and Metadata Framework for Interpretable Skin Lesion Classification. [PDF]

Biomimetics (Basel)
Solak A.
europepmc   +1 more source

Oil Futures Prices, Inflation Expectations, and Bond Risk Premiums

Journal of Futures Markets, EarlyView.
ABSTRACT By decomposing West Texas Intermediate futures price changes into structural supply and demand shocks, this paper shows that dissecting the oil price significantly improves inflation forecasts. Empirically, demand‐driven shocks predict a negative real bond risk premium but a positive inflation risk premium; these opposing effects result in an ...
Haibo Jiang
wiley   +1 more source