Zobrazeno 1 - 10
of 195
pro vyhledávání: '"H.4.2"'
Efforts to reduce platelet wastage in hospital blood banks have focused on ordering policies, but the predominant practice of issuing the oldest unit first may not be optimal when some units are returned unused. We propose a novel, machine learning (
Externí odkaz:
http://arxiv.org/abs/2411.14939
Autor:
Eerlings, Gilles, Vanbrabant, Sebe, Liesenborgs, Jori, Ruiz, Gustavo Rovelo, Vanacken, Davy, Luyten, Kris
We present an approach, AI-Spectra, to leverage model multiplicity for interactive systems. Model multiplicity means using slightly different AI models yielding equally valid outcomes or predictions for the same task, thus relying on many simultaneou
Externí odkaz:
http://arxiv.org/abs/2411.10490
Autor:
Salvador, Mitch Arkeen, Botangen, Khavee Agustus, Rabang, Mary Camille, Salinas, Ivan Christian, Naagas, Marlon, Balagot, Angelika
The Central Luzon Agriculture, Aquatic and Natural Resources Research and Development Consortium (CLAARRDEC), comprising 29 member institutions, faces challenges in effectively monitoring and evaluating their R&D activities. To address these challeng
Externí odkaz:
http://arxiv.org/abs/2411.00483
Autor:
Abrajano, Jenny Vi, Botangen, Khavee Agustus, Nabua, Jovith, Apanay, Jenalyn, Peña, Chezalea Fay
Contaminated and polluted water poses significant threats to human health, necessitating vigilant monitoring of water sources for potential contamination. This paper introduces a low-cost Internet of Things (IoT)-based water quality monitoring system
Externí odkaz:
http://arxiv.org/abs/2410.14619
Autor:
Costa, Helder Gomes, Shimoda, Eduardo, Costa, José Fabiano da Serra, Shimoya, Aldo, Eufrazio, Edilvando Pereira
The question that drives this research is: "How to discover the number of respondents that are necessary to validate items of a questionnaire as actually essential to reach the questionnaire's proposal?" Among the efforts in this subject, \cite{Lawsh
Externí odkaz:
http://arxiv.org/abs/2410.11151
Autor:
Dorsch, John, Moll, Maximilian
In the context of AI decision support systems (AI-DSS), we argue that meeting the demands of ethical and explainable AI (XAI) is about developing AI-DSS to provide human decision-makers with three types of human-grounded explanations: reasons, counte
Externí odkaz:
http://arxiv.org/abs/2409.14839
Autor:
Nguyen, Dang Viet Anh, Flensburg, J. Victor, Cerreto, Fabrizio, Pascariu, Bianca, Pellegrini, Paola, Azevedo, Carlos Lima, Rodrigues, Filipe
With the expansion of cities over time, URT (Urban Rail Transit) networks have also grown significantly. Demand prediction plays an important role in supporting planning, scheduling, fleet management, and other operational decisions. In this study, w
Externí odkaz:
http://arxiv.org/abs/2408.15619
Autor:
Dorsch, John, Deroy, Ophelia
This study explores whether labeling AI as "trustworthy" or "reliable" influences user perceptions and acceptance of automotive AI technologies. Using a one-way between-subjects design, the research involved 478 online participants who were presented
Externí odkaz:
http://arxiv.org/abs/2408.10905
In many working environments, users have to solve complex problems relying on large and multi-source data. Such problems require several experts to collaborate on solving them, or a single analyst to reconcile multiple complementary standpoints. Prev
Externí odkaz:
http://arxiv.org/abs/2408.09926
Predictive process monitoring aims to support the execution of a process during runtime with various predictions about the further evolution of a process instance. In the last years a plethora of deep learning architectures have been established as s
Externí odkaz:
http://arxiv.org/abs/2408.07097