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 +2 more
wiley +1 more source
Adaptive energy management in smart homes through fuzzy reinforcement learning and metaheuristic optimization algorithms to minimize costs. [PDF]
Hamedani MMK +3 more
europepmc +1 more source
A Note on Probability /Possibility Consistency for Fuzzy Events [PDF]
Baldwin, James F +2 more
core
Notable Impact of Paleotectonic Stress on Gold Mineralisation in the West Qinling Orogen
By applying fuzzy clustering and multiple inverse methods, we systematically processed the data of vein and fault slip in this ore deposit to reveal the transition of orogenic geological environment and paleotectonic stress field. Our research results show two different stress states: the northwest–southeast extensional stress field and the northeast ...
Hongyan Wang +3 more
wiley +1 more source
An Extended Epistemic Framework Beyond Probability for Quantum Information Processing with Applications in Security, Artificial Intelligence, and Financial Computing. [PDF]
Iovane G.
europepmc +1 more source
Rural–Urban Digital Divide: Evidence From Indian States
ABSTRACT The Indian economy has achieved significant progress in recent years, with the country expected to contribute about 16% of the global growth. However, at the sub‐national level, economic development has been quite disparate over the decades, with widening inequality between the richer western and southern states and other parts of the country.
Rashmi Arora, Nikhil Sapre
wiley +1 more source
NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments. [PDF]
Yu X +6 more
europepmc +1 more source
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
A knowledge-informed neural network integrating fuzzy AHP and PCA for SME credit risk assessment. [PDF]
Li T, Ali MKM.
europepmc +1 more source
Fast bootstrap and reliable readout using hidden references for DNA data storage
This study provides a bootstrap readout framework for DNA data storage based on multiple‐fold hidden references. We employ a multi‐stage alignment and error correction strategy, transforming the de novo readout into a resequencing‐like workflow. Correlation to the hidden watermark reference identifies low‐error‐rate reads, and bit‐wise consensus ...
Weigang Chen +6 more
wiley +1 more source

