Results 141 to 150 of about 94,999 (279)

Evaluating the security of CRYSTALS-Dilithium in the quantum random oracle model [PDF]

, 2023
Kelsey Jackson, Carl A. Miller, Daochen Wang   +2 more
openalex   +1 more source

An investigation of the price discovery role of futures markets: A dynamic time warping analysis of the United States corn markets

Agribusiness, Volume 42, Issue 1, Page 196-212, Winter 2026.
Abstract Futures markets are critical to price discovery and often dominate spot markets. We analyze the linkages between daily corn futures and spot prices in the United States using dynamic time warping. This nonparametric pattern recognition technique has several advantages over traditional time series methods.
Dragan Miljkovic, Puneet Vatsa, Frayne Olson   +2 more
wiley   +1 more source

Forecasting Research Trends Using Knowledge Graphs and Large Language Models

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language models, this study analyzes the time evolution of nuclear materials research concepts and suggests a data‐driven approach of forecasting research trends ...
Maciej Tomczak, Yang Jeong Park, Chia‐Wei Hsu, Payden Brown, Dario Massa, Piotr Sankowski, Ju Li, Stefanos Papanikolaou   +7 more
wiley   +1 more source

Active learning with human heuristics: an algorithm robust to labeling bias

Frontiers in Artificial Intelligence
Active learning enables prediction models to achieve better performance faster by adaptively querying an oracle for the labels of data points. Sometimes the oracle is a human, for example when a medical diagnosis is provided by a doctor. According to the
Sriram Ravichandran, Nandan Sudarsanam, Nandan Sudarsanam, Balaraman Ravindran, Balaraman Ravindran, Konstantinos V. Katsikopoulos   +5 more
doaj   +1 more source

Enhancing Power System Flexibility Using AI‐Based Forecasting Techniques: A Comparative Study

Battery Energy, Volume 5, Issue 1, January 2026.
This study compares AI‐based forecasting techniques for enhancing power system flexibility. XGBoost outperforms other models in short‐term load forecasting, enabling more reliable grid management and adaptive energy operations. ABSTRACT This paper compares seven forecasting models for hourly electricity consumption in a commercial office building using
Saad Hayat, Aamir Nawaz, Aftab Ahmed Almani, Ehtasham Mustafa, Zahid Javid, William Holderbaum   +5 more
wiley   +1 more source

Parallel Algorithm for Approximate State Graph Exploration With Restricted Memory Footprint

Concurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.
ABSTRACT We investigate the performance of algorithms that explore large state graphs of finite state machines without input by following paths. To improve on anchor‐based and candidate‐based explorations and to avoid the performance overhead of full anchor lists and the tuning sensitivity of timeout‐based methods, we propose and analyze exploration ...
Jörg Keller, Sebastian Litzinger
wiley   +1 more source

Implementación de un protocolo postcuántico de intercambio de clave en grupo seguro en el Quantum Random Oracle Model basado en Kyber

, 2021
José Ignacio Escribano Pablos
openalex   +1 more source

Developing an ecological risk‐based approach to facilitate licensing offshore wind development

Ecosphere, Volume 17, Issue 1, January 2026.
Abstract The increasing societal demands on the seabed due to the expansion of offshore wind energy highlight an urgent need to better understand the relationship between human activities and the structure and function of seabed ecosystems. In this paper, we propose an empirically derived approach to quantify relative ecological risk to benthic ...
S. G. Bolam, K. M. Cooper, A. ‐L. Downie   +2 more
wiley   +1 more source

Explainable AI With Imbalanced Learning Strategies for Blockchain Transaction Fraud Detection

Engineering Reports, Volume 8, Issue 1, January 2026.
Research methodology pipeline for blockchain fraud detection. ABSTRACT Blockchain networks now support billions of dollars in daily transactions, making reliable and transparent fraud detection essential for maintaining user trust and financial stability.
Ahmed Abbas Jasim Al‐Hchaimi, M. A. Khalifa, Walid El‐Shafai   +2 more
wiley   +1 more source

A Machine Learning‐Based Forecasting Approaches and Correlation Analysis to Assess Future Extreme Heat Scenarios in Bangladesh and Its Impact on Public Health

Engineering Reports, Volume 8, Issue 1, January 2026.
A Pearson correlation coefficient of 0.60 indicates a moderately positive linear relationship exists between the two variables. The correlation coefficient (r) can take a value ranging between −1 and 1. A significant correlation, which does not occur randomly, will use the p value to determine statistical significance of the correlation coefficient ...
Tanvir Ehsan, Farhana Akter Bina, Gazi Md. Habibul Bashar, Liton Chandra Paul   +3 more
wiley   +1 more source