Results 101 to 110 of about 4,979 (288)

Application of stochastic differential equations and real option theory in investment decision problems

, 2011
This thesis contains a discussion of four problems arising from the application of stochastic differential equations and real option theory to investment decision problems in a continuous-time framework.
Chavanasporn, Walailuck
core  

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

EFFICIENCY ANALYSIS OF FINANCIAL TIME SERIES FORECASTING MODELS UNDER MARKET TURBULENCE CONDITIONS

Компютерні системи та інформаційні технології
This paper presents a comparative analysis of financial time series forecasting models' effectiveness under market turbulence conditions. The study focuses on evaluating the adaptability of statistical ARIMA model and recurrent LSTM neural network ...
Олег ПАСТУХ, Юрій ПЕТРОВ   +1 more
doaj   +1 more source

Algorithmic Trading

, 2011
Die Elektronisierung der Finanzmärkte ist in den letzten Jahren weit vorangeschritten. Praktisch jede Börse verfügt über ein elektronisches Handelssystem.
Gomolka, Johannes
core  

Multi-Objective Genetic Programming-based Algorithmic Trading, using Directional Changes and a Modified Sharpe Ratio Score for Identifying Optimal Trading Strategies [PDF]

This study explores the integration of directional changes (DC), genetic programming (GP), and multi-objective optimisation (MOO) to develop advanced algorithmic trading strategies.
Long, Xinpeng, Kampouridis, Michael, Papastylianou, Tasos   +2 more
core   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Driving Investor Success: Novel Macro Momentum Accelerated Reinforcement Learning Framework for Stock Trading

IEEE Access
Competent portfolio management is crucial for investors seeking to navigate the complexities of financial markets and optimize their investment strategies.
Asma Sattar, Yasmeen Ansari, Fizza Bukhari, Maryam Bukhari, Sungwoo Park, Seungmin Rho   +5 more
doaj   +1 more source

Implementing and comparing various algorithmic trading strategies [PDF]

, 2018
Most financial firms use algorithms to buy and sell financial assets. It is possible for amateur investors with programming knowledge or vice-versa, to implement algorithms and improve their strategies.
Mc Laren, Eric
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

A scoping review on the nexus between artificial intelligence and business sustainability in Africa

Discover Sustainability
Artificial Intelligence (AI) has transformative potential to advance business sustainability; however, its application in the African context remains complex, unclear, and insufficiently explored.
Alubel Kassaw Belete, K.V. Ramana Murthy
doaj   +1 more source