A Framework For Risk Assessment Of Last Mile Delivery by Mismar, Hajed Mohammad

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Three-way decision-based conditional probabilities by opinion scores and Bayesian rules in circular-Pythagorean fuzzy sets for developing sustainable smart living framework by A. Alsattar, Hassan

“…Furthermore, no research has ranked and graded the identified SSL frameworks to select the most sustainable framework. …”
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Exploring Digital Competitiveness through Bayesian Belief Networks by Qazi, Abroon

“…Unlike conventional ranking models that assume equal weighting of pillars, this study uses Bayesian belief network (BBN) models to capture complex, non-linear relationships, offering a more precise identification of critical determinants. …”
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A Bayesian estimation of a stochastic predator-prey model of economic fluctuations by Dibeh, Ghassan

“…In this paper, we develop a Bayesian framework for the empirical estimation of the parameters of one of the best known nonlinear models of the business cycle: The Marx-inspired model of a growth cycle introduced by R. …”
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Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach by Mismar, Hajed

“…This work proposes a comprehensive framework on risk identification and analysis in the last mile delivery to support delivery planning. …”
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Navigating Nexus: Cross-Mapping Sustainable Development Goals and Competitiveness for a Resilient Future by Qazi, Abroon

“…The proposed approach allows for the identification of critical drivers and offers a framework for scenario analysis, which can inform targeted policymaking and business strategies aimed at enhancing sustainability performance.…”
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Assessing the Impact of Sustainability Risks on Disaster and Pandemic Vulnerabilities: A Global Perspective by Qazi, Abroon

“…The study introduces the concept of SDG-related risk, defined as the probability of not achieving the desired SDG, and classifies these risks into three categories: high, medium, and low. Using a Bayesian Belief Network (BBN) framework, two probabilistic models were developed to evaluate the influence of SDG performance on disaster risk and COVID-19 vulnerability across 165 countries. …”
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Analysis of Fast-track Projects in the Public Sector in the United Arab Emirates by Alsuwaidi, Mariam

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Healthcare Supply Chain Disruption Risks by Ahmad, Fatima Wisam

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How the Sino-Russian Geopolitical Alignment Shapes China’s Image in Kyrgyzstan by Chiozza, Giacomo

“…Here we analyze 14 waves of the Central Asia Barometer survey using Bayesian multilevel models to examine how Kyrgyz citizens’ cultural affinity with Russia and consumption of Russian media shape their perceptions of China. …”
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Reliability assessment of heterogeneous Dagum-distributed multi-component stress-strength systems under adaptive hybrid progressive censoring by Akram Kohansal (20545673)

“…We propose both classical and Bayesian estimation strategies, including maximum likelihood estimators (MLEs), asymptotic confidence intervals, approximate Bayesian estimators, and highest posterior density (HPD) credible intervals. …”

Synthesis of evidence from zero‐events studies: A comparison of one‐stage framework methods by Chang Xu (102022)

“…Numerous methods provide valid solutions to synthesizing data from studies with zero-events, either based on a frequentist or a Bayesian framework. Among frequentist frameworks, the one-stage methods have their unique advantages to deal with zero-events studies, especially for double-arm-zero-events. …”

Automated layer-wise solution for ensemble deep randomized feed-forward neural network by Minghui Hu (2457952)

“…The ensemble deep learning framework significantly improves the performance of randomized neural networks. …”

Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach by Minghan Bao (20654131)

“…This work provides a detailed framework for renewable energy stakeholders, helping in the assessment of both profitability and survivability of WECs in chosen locations. …”

Label dependency modeling in Multi-Label Naïve Bayes through input space expansion by PKA Chitra (21749216)

Improved Machine Learning for Multiclass Fault Classification in Industrial Processes by Khaled Dhibi (16891524)

Computer aided progression detection model based on optimized deep LSTM ensemble model and the fusion of multivariate time series data by Hager Saleh (11548327)

“…This study proposes a novel deep stacking framework which combines multiple DL models to accurately predict AD at an early stage. …”

Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems by Local Burden of Disease HIV Collaborators (13279180)

“…We modeled HIV mortality using a Bayesian spatially explicit mixed-effects regression model that incorporates prior information on VR completeness. …”

Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants by Bin, Zhou

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Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021 by Kanyin Liane, Ong

“…Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. …”
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