Results 111 to 120 of about 4,979 (288)

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

A Multifaceted Approach to Stock Market Trading Using Reinforcement Learning

IEEE Access
In the recent past, algorithmic stock market trading for financial markets has undergone significant growth and played a major role in investment decisions.
Yasmeen Ansari, Saira Gillani, Maryam Bukhari, Byeongcheon Lee, Muazzam Maqsood, Seungmin Rho   +5 more
doaj   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Artificial intelligence for diabetes: Enhancing prevention, diagnosis, and effective management

Computer Methods and Programs in Biomedicine Update
Introduction: Diabetes, a major cause of premature mortality and complications, affects millions globally, with its prevalence increasing due to lifestyle factors and aging populations. This systematic review explores the role of Artificial Intelligence (
Mohamed Khalifa, Mona Albadawy
doaj   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Creating Investment Strategies Based on Machine Learning Algorithms

Construction de stratégies d'investissement en utilisant des algorithmes de Machine Learning La thèse a permis de développer deux stratégies d'investissement issues d'algorithmes de Machine Learning:La première (Low Turbulence Model) est une stratégie sur indice qui combine à la fois du traitement du signal et des modèles graphiques ...
openaire   +2 more sources

ARTIFICIAL INTELLIGENCE IN ACADEMIA: OPPORTUNITY OR CHALLENGE?

Aktualʹnì Problemi Rozvitku Ekonomìki Regìonu
In recent years, the rapid advancement of Artificial Intelligence (AI) has had a profound and transformative impact across a wide range of sectors, including education and scientific research.
L.H. Grigoryan, M. V. Badalyan, A.Z. Grigoryan   +2 more
doaj   +1 more source

Hands-on machine learning for algorithmic trading: design and implement investment strategies based on smart algorithms that learn from data using Python

, 2018
With the help of this book, you'll build smart algorithmic models using machine learning algorithms covering tasks such as time series forecasting, backtesting, trade predictions, and more using easy-to-follow examples.
Jansen, Stefan
core