Results 121 to 130 of about 202,093 (332)

Does modified interpretation bias influence automatic avoidance behaviour? [PDF]

, 2010
Wolf‐Gero Lange, Elske Salemink, Ine Windey, Ger P. J. Keijsers, Julie Krans, Eni S. Becker, Mike Rinck   +6 more
openalex   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Nudges and information are means to assist conventional forms of policy implementation [PDF]

, 2013
It has long been understood that human beings approach problems with a set of pre-set biases, which influence them toward certain kinds of ‘unexpected’ behaviours from a classical economics standpoint.
John, Peter
core  

Neural Network Adaptive Control With Long Short‐Term Memory

International Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc, Abdullah Habboush, Yigit Gurses, Yildiray Yildiz, Anuradha M. Annaswamy   +4 more
wiley   +1 more source

Age biases in a large HIV and sexual behaviour-related internet survey among MSM [PDF]

, 2013
Ulrich Marcus, Ford Hickson, Peter Weatherburn, Axel J. Schmidt   +3 more
openalex   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Behavioural public policy for natural disaster preparedness and the role of economic experiments

Humanities & Social Sciences Communications
Natural disaster losses are increasing both in their frequency of occurrence and severity of impacts worldwide due to climate change and socio-economic development in disaster-prone regions. In addition to public sector investments in disaster protection
Peter John Robinson, W. J. Wouter Botzen
doaj   +1 more source

INFLUENCE OF THE SELECTED BEHAVIOURAL BIASES ON INTERMEDIARIES IN INITIAL PUBLIC OFFERINGS MARKET: A SURVEY [PDF]

, 2021
Amit Kumar Singh
openalex   +1 more source

Applications of the theory of planned behaviour to drivers' speeding behaviour [PDF]

, 2004
The theory of planned behaviour (TPB; Ajzen, 1985, 1988, 1991) provides apotentially useful approach for investigating the links between drivers' attitudes andbehaviour and for informing road safety interventions that aim to promote 'safe' driving.
Armitage, C.J., Baughan, C.J., Elliott, M.A.   +2 more
core  

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source