Results 201 to 210 of about 9,316 (295)

Is stochastic thermodynamics the key to understanding the energy costs of computation? [PDF]

Proc Natl Acad Sci U S A
Wolpert DH, Korbel J, Lynn CW, Tasnim F, Grochow JA, Kardeş G, Aimone JB, Balasubramanian V, De Giuli E, Doty D, Freitas N, Marsili M, Ouldridge TE, Richa AW, Riechers P, Roldán É, Rubenstein B, Toroczkai Z, Paradiso J.   +18 more
europepmc   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

Energy Science &Engineering, EarlyView.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei, S. Ayoub Mirtavousi, Mohammadreza Dehghan   +2 more
wiley   +1 more source

To Signal or Not to Signal? A Non-cooperative Game-Theoretic Approach to Discretionary Communication Between Road Users. [PDF]

SN Comput Sci
Bitar I, Solernou Crusat A, Romano R, Watling D.   +3 more
europepmc   +1 more source

High‐Fidelity Simulation‐Driven Control Framework for Robust Grid Integration of Renewable Energy Systems

Energy Science &Engineering, EarlyView.
This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Pradeep Jangir, Zhe Liu, Aseel Smerat   +5 more
wiley   +1 more source

Forecasting With Machine Learning Shadow‐Rate VARs

Journal of Forecasting, EarlyView.
ABSTRACT Interest rates are fundamental in macroeconomic modeling. Recent studies integrate the effective lower bound (ELB) into vector autoregressions (VARs). This paper studies shadow‐rate VARs by using interest rates as a latent variable near the ELB to estimate their shadow‐rate values.
Michael Grammatikopoulos
wiley   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

International Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang, Linzhi Tan, Haozhe Su, Jeremy Eng‐Tuck Cheah   +3 more
wiley   +1 more source

A dynamical systems perspective on the Mid-Pleistocene Transition. [PDF]

J R Soc N Z
Golledge NR.
europepmc   +1 more source

Discussion of a stochastic cellular automaton model for the dynamics of bistable units with global and asymmetric local interactions (Special Issue on New Challenges in Complex Systems Science)

, 2015
Shousuke Ohmori, Yoshihiro Yamazaki
openalex   +1 more source

Ultrafast in‐memory computing and highly efficient deep neural networks driven by phase‐change memory materials with partially amorphous state transitions

InfoScience, EarlyView.
This work addresses challenges including the nonlinear weight‐conductance update and the trade‐off between increasing melting uniformity and reducing solid‐to‐liquid transition time. It utilizes all four melting states to create an integrated framework for attaining in‐memory computing and deep neural network applications. The framework achieves a near‐
Kian‐Guan Lim, Shao‐Xiang Go, Qiang Wang, Dong‐Gwan Kim, Chan‐Hwi Baek, Qishen Wang, Tae Hoon Lee, Desmond K. Loke   +7 more
wiley   +1 more source

Epithelial competition determines gene therapy potential to suppress Fanconi Anemia oral cancer risk. [PDF]

PLoS Comput Biol
Colegrove HL, Monnat RJ, Feder AF.
europepmc   +1 more source