Results 71 to 80 of about 99,827 (273)

Can One Make Any Crash Prediction in Finance Using the Local Hurst Exponent Idea?

, 2003
We apply the Hurst exponent idea for investigation of DJIA index time-series data. The behavior of the local Hurst exponent prior to drastic changes in financial series signal is analyzed.
Ausloos, Ausloos, Baillie, Baillie, Baviera, Buldyrev, D Grech, De Lima, Ding, Fama, Granger, Ivanova, Liu, Lux, Mandelbrot, Muller, Pagan, Peng, Peng, Plerou, Stanley, Stanley, Vandewalle, Vandewalle, Z Mazur   +24 more
core   +1 more source

Quantum Majorization in Market Crash Prediction

Risks
We introduce the Quantum Alarm System, a novel framework that combines the informational advantages of quantum majorization applied to tail pseudo-correlation matrices with the learning capabilities of a reinforced urn process, to predict financial turmoil and market crashes.
J Rhet Montana, Luis A. Souto Arias, Pasquale Cirillo, Cornelis W. Oosterlee   +3 more
openaire   +3 more sources

Anti‐Slip Material‐Based Strategies and Approaches

Advanced Materials Technologies, EarlyView.
This review highlights the principle mechanisms of slipping at the microscale, linking contact mechanics with a friction behavior model for surface interfaces. Main strategies to develop anti‐slip properties to the surfaces are discussed alongside standardized testing approaches.
Sogand Abbaspoor‐Zanjani, Carlo Antonini, Teresa Gatti, Mengjiao Wang   +3 more
wiley   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

A meta-learning approach to improving transferability for freeway traffic crash risk prediction

Digital Transportation and Safety
Crash risk prediction plays a vital role in preventing freeway traffic accidents. Due to the limited availability of crash data in some freeway sections, model transferability of crash risk prediction has become an essential topic in traffic safety ...
Chenlei Liao, Xiqun (Michael) Chen
doaj   +1 more source

Ecosystem‐Centered Robot Design: Toward Ecoresorbable Sustainability Robots (ESRs)

Advanced Science, EarlyView.
Robots exploring natural ecosystems can support monitoring and conservation, but must adopt ecosystem‐centered design to avoid pollution, waste, and damage. This review proposes guidelines for co‐designing ecoresorbable sustainability robots (ESRs), uniting materials, robotics, and ecological contexts in a single framework.
Tülin Yılmaz Nayır, Yuan Fang, Consuelo Contreras, Andrew K. Schulz, Florian Hartmann   +4 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

ON THE UTILITY OF SORNETTE’S CRASH PREDICTION MODEL [PDF]

Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2015
Stock market crashes have been a constant subject of interest among capital market researchers. Crashes’ behavior has been largely studied, but the problem that remained unsolved until recently, was that of a prediction algorithm.
IOAN ROXANA
doaj  

Development of accident prediction model by using artificial neural network (ANN) [PDF]

, 2011
Statistical or crash prediction model have frequently been used in highway safety studies. They can be used in identify major contributing factors or establish relationship between crashes and explanatory accident variables.
Ramli, Mohd Zakwan
core  

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

Advanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng‐Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng   +10 more
wiley   +1 more source