Academic Articles & Research Papers

Reinforcement learning-based decision support for admission-time inpatient bed allocation.

Explainable machine learning for breast cancer prediction in resource-constrained settings: A multi-algorithmic framework integrating shap-based transparency with clinical decision support.

Visual-affect-guided spatiotemporal graph modeling of disaster-image diffusion for embodied decision support.

Risk-Aware Fault-Tolerant Multisensor Fusion for Human-Machine Decision Support in Autonomous Navigation and Mooring in Confined Waters.

Geo-Analytic Decision Support for Federal Behavioral Health Prioritization Among American Indian and Alaska Native Populations: Exploratory Study.

Artificial Intelligence in Eye Disease: A Systematic Review of Screening, Diagnosis, Prognosis, Treatment-Response Prediction, and Clinical Decision Support.

Advancing Healthcare Sustainability through Decision Support.

Artificial intelligence for pediatric height prediction using large-scale longitudinal body composition data

Objective We developed a precise, reliable artificial intelligence (AI) model for predicting the future height of children and adolescents based on anthropometric and body composition data. Materials and Methods We used an extensive longitu...

A Decision Support Model for Hotel Recommendation Based on the Online Consumer Reviews Using Logarithmic Spherical Hesitant Fuzzy Information

Spherical hesitant fuzzy sets have recently become more popular in various fields. It was proposed as a generalization of picture hesitant fuzzy sets and Pythagorean hesitant fuzzy sets in order to deal with uncertainty and fuzziness inform...

Analyzing Greece 2010 Memorandum’s Impact on Macroeconomic and Financial Figures through FCM

The financial crisis of 2008 has caused a series of drawbacks to economies around the world. Greek economy has been hit twice at 2009, since its credibility worsened, provoking the implication of harsh fiscal measures from the 2010 Memorand...

An Integrated Decision Support Model for Evaluating Public Transport Quality

Big cities suffer from serious complex problems such as air pollution, congestion, and traffic accidents. Developing public transport quality in such cities is considered an efficient remedy to obviate these critical issues. This paper aims...

BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses

Abstract Background Several reviews have noted shortcomings regarding the quality and reporting of network meta-analyses (NMAs). We suspect that this issue may be partially attributable to limitations in current NMA software which do not re...

The Power of Environmental Observatories for Advancing Multidisciplinary Research, Outreach, and Decision Support: The Case of the Minnesota River Basin

Abstract Observatory‐scale data collection efforts allow unprecedented opportunities for integrative, multidisciplinary investigations in large, complex watersheds, which can affect management decisions and policy. Through the National Scie...

Resource-Constrained Edge AI Solution for Real-Time Pest and Disease Detection in Chili Pepper Fields

This paper presents a low-cost, fully on-premise Edge Artificial Intelligence (AI) system designed to support real-time pest and disease detection in open-field chili pepper cultivation. The proposed architecture integrates AI-Thinker ESP32...

Decision Support System for Technology Deployment Considering Emergent Behaviors in the Maritime Industry

The maritime industry is trying to utilize new technology for enhancing its competitiveness to overcome today’s severe economic situation, and some interact effects, or potentially emergent effects, will emerge during the introduction of th...

Identifying corridors of river recovery in coastal NSW Australia, for use in river management decision support and prioritisation systems.

By connecting corridors of river recovery, resilience can be built into river systems to mitigate against future floods and droughts driven by anthropogenic disturbance or climate extremes. However, identifying where these corridors can be ...

User perspectives on AI explainability in aerospace manufacturing: a Card-Sorting study

The integration of AI technologies in aerospace manufacturing is significantly transforming critical operational processes, impacting decision-making, efficiency, and workflow optimization. Explainability in AI systems is essential to ensur...

Decision Support on Small size Passive Samples

A construction technique of adequate mathematical models for small size passive samples, in conditions when classical probabilistic-statis\-tical methods do not allow obtaining valid conclusions was developed....

Decision-Making Methodologies for Reuse of Industrial Assets

When there is a social consensus that industrial assets are in fact heritage elements of cultural interest, their conservation and reuse must be considered with approaches that offer greater guarantees and that prevent their exposure to agg...

Health technologies

A report by the Nuffield Trust explores some of the possibilities to transform health care through digital technologies, ranging from clinical decision support tools and electronic vital signs monitors, to remote monitoring and digital pati...