Results 31 to 40 of about 1,588 (116)
A Few‐Shot Learning Approach for a Multilingual Agro‐Information Question Answering System
Applied AI Letters, Volume 6, Issue 2, April 2025.An overview of the workflow used to create and evaluate a prompt‐based, cross‐lingual question answering system for agriculture in low‐resource South African languages. ABSTRACT Across numerous households in Sub‐Saharan Africa, agriculture plays a crucial role.
Fiskani Ella Banda +2 more
wiley +1 more source
The Development of Building Materials Recommendation System Based on Feature Crosses
Advances in Civil Engineering, Volume 2025, Issue 1, 2025.Material selection is a challenging and essential research area in architectural design, as it plays a key role across project phases. Architects must consider both quantifiable material properties (such as durability, cost, and environmental impact) and qualitative aspects (such as texture and color) that influence a building’s appearance, longevity ...
Hui-Ping Tserng +3 more
wiley +1 more source
An Exploration of Health Technology Adoption and Evaluation Methodologies
Human Behavior and Emerging Technologies, Volume 2025, Issue 1, 2025.This research explores how technologies are adopted and used in the health field, focusing on how people integrate these innovations into their daily lives. Different models of technology adoption in the field of health are presented with evaluation methodologies to measure the adoption of technologies in healthcare, including qualitative and ...
Víctor Hugo Capacho-Alfonso +3 more
wiley +1 more source
Partitioning networks into cliques: a randomized heuristic approach [PDF]
, 2014 In the context of community detection in social networks, the term community can be grounded in the strict way that simply everybody should know each other within the community. We consider the corresponding community detection problem.
Chalupa, David
core
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.Ambient temperature estimation plays a vital role in various domains, including environmental monitoring, smart cities, and energy‐efficient systems. Traditional sensor‐based methods suffer from high deployment costs and limited scalability, while centralized machine learning approaches raise significant privacy concerns.
Saeid Zareie +3 more
wiley +1 more source
The Breast Journal, Volume 2025, Issue 1, 2025.Objective: To enhance the diagnostic accuracy of new nodules on the surgical side after breast cancer surgery using machine learning techniques and to explore the role of multifeature fusion. Methods: Data from 137 breast cancer postoperative patients with new nodules from January 2016 to April 2024 were analyzed.
Zhixiang Wang +6 more
wiley +1 more source
Target Material Property‐Dependent Cluster Analysis of Inorganic Compounds
Advanced Intelligent Systems, Volume 6, Issue 12, December 2024.A method to interpret machine learning prediction models for detecting promising material groups in terms of given material properties is developed. The developed method is validated by categorizing more than 1000 oxides into material groups, considering both basic descriptors of the composition and crystal structure and target properties such as the ...
Nobuya Sato +5 more
wiley +1 more source
Philosophical Perspectives, Volume 38, Issue 1, Page 117-152, December 2024.ABSTRACT To measure is to err. Serving both numeric and non‐numeric measurement, the language of measurement refers to margins of error, within which measurement reports locate their measurements. Such reports and reasoning from them invoke what is known and what is known to be known about error‐strewn measurement to derive and contrast the ...
Barry Schein
wiley +1 more source
Anticipatory Buffer Control and Quality Selection for Wireless Video Streaming
, 2014 Video streaming is in high demand by mobile users, as recent studies indicate. In cellular networks, however, the unreliable wireless channel leads to two major problems.
Blobel, Johannes +4 more
core +1 more source
Enhancing cloud security: A study on ensemble learning‐based intrusion detection systems
IET Communications, Volume 18, Issue 16, Page 950-965, October 2024.The proposed system uses an ensemble learning algorithm. This is a machine learning technique that collects information from weak classifiers and creates one robust classifier with higher accuracy than the weak individual classifiers. Abstract Cloud computing has become an essential technology for people and enterprises due to the simplicity and rapid ...
Maha Al‐Sharif, Anas Bushnag
wiley +1 more source