Results 161 to 170 of about 4,165 (288)

Machine Learning and Algorithmic Pairs Trading in Futures Markets [PDF]

, 2020
Seungho Baek, Mina Glambosky, Seok Hee Oh, Jeong Eun Lee   +3 more
openalex   +1 more source

Artificial Intelligent‐Enhanced Metabolite Profiling for Intraoperative IDH1 Genotyping in Glioma Using an Orthogonally Responsive SERS Probe

Advanced Science, EarlyView.
This study presents a novel approach for intraoperative identification of the IDH1 genotype in glioma patients using a surface‐enhanced Raman scattering (SERS) probe to measure glutathione and hydrogen peroxide. By integrating AI‐driven deep learning algorithms, the method achieves rapid and accurate genotype differentiation, offering the potential to ...
Hang Yin, Xin Zhang, Zheng Zhao, Chong Cao, Minhua Xu, Suhongrui Zhou, Tian Xuan, Ziyi Jin, Limei Han, Yang Fan, Cong Wang, Xiao Zhu, Ying Mao, Jinhua Yu, Cong Li   +14 more
wiley   +1 more source

Optimal starting times, stopping times and risk measures for algorithmic trading: Target Close and Implementation Shortfall

, 2012
Mauricio Labadie, Charles‐Albert Lehalle   +1 more
openalex   +2 more sources

Automated Design of CubeSats using Evolutionary Algorithm for Trade Space Selection [PDF]

, 2020
Himangshu Kalita, Jekan Thangavelautham
openalex   +1 more source

Big data applications with theoretical models and social media in financial management. [PDF]

Ann Oper Res, 2022
Saito T, Gupta S.
europepmc   +1 more source

Transfer Learning Empowered Multiple‐Indicator Optimization Design for Terahertz Quasi‐Bound State in the Continuum Biosensors

Advanced Science, EarlyView.
This study proposes a pioneering method leveraging transfer learning to optimize multiple indicators in meta‐biosensor design, achieving the multiple‐indicator comprehensive optimization. By adopting frequency shift as a unified criterion, this study quantifies the contribution ratio of each performance indicator to the biosensor, which facilitates ...
Shengfeng Wang, Bingwei Liu, Xu Wu, Zuanming Jin, Yiming Zhu, Linjie Zhang, Yan Peng   +6 more
wiley   +1 more source

Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and Trade-offs

, 2013
Jiaming Xu, Rui Wu, Kai Zhu, Bruce Hajek, R. Srikant, Lei Ying   +5 more
openalex   +2 more sources

Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market [PDF]

, 2018
Robert Ślepaczuk, Maryna Zenkova
openalex   +1 more source

Pattern searcher for decision making of trading agents using Genetic Algorithm [PDF]

, 2020
Felipe V. Cacique, Adriano C. M. Pereira
openalex   +1 more source

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

Advanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag, Görkem Saygili, Matthias Franzreb, Gözde Kabay   +3 more
wiley   +1 more source