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ISSN 2731-6955 · Springer · 85 articles in the index
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Journal Article
Evaluating the impact of prevalence on the scaled Brier score, Matthews correlation coefficient, and other performance metrics for binary and multiclass hard classifications
Abstract Background Several studies have recently recommended the Matthews correlation coefficient (MCC) to evaluate the accuracy of hard classifications. However, because it is derived from the Pearson correlation, it contains properties that may not be appropriate for classification metrics, such…
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Journal Article
Somali dialect identification in low-resource settings using machine learning and deep learning
Abstract This study investigates automatic dialect identification for the Somali language, focusing on its two primary dialects: MAXAA TIRI and MAAY. Somali exhibits substantial dialectal variation, which poses challenges for natural language processing (NLP) applications in low-resource settings…
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Journal Article
Multi-stakeholder survey data of the medical device innovation system in South Africa
Abstract Objectives The objective of this dataset is to provide multi-stakeholder survey data collected across enterprises, academia, and government within South Africa’s medical device innovation system. The data was collected to provide data-driven insights into the country’s medical device…
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Journal Article
TEMPLAR fraud a verifier grounded calibrated and cost sensitive framework for transaction fraud detection
Abstract Transaction fraud detection remains difficult because fraudulent events are highly imbalanced, temporally drifting, cost asymmetric, and often supported by limited auditability in model decisions. Existing tabular, tree-based, and deep fraud detectors can achieve strong predictive…
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Journal Article
Institutional typology of cybercrime enforcement in Nigeria using EFCC conviction records
Abstract Cybercrime research in Nigeria has largely focused on offender motivations, victim experiences, and regulatory gaps, with limited use of official administrative data to examine the institutional structure of cybercrime enforcement. This study provides a systematic analysis of cyber-related…
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Journal Article
Fixed pre-season weather windows eliminate endogeneity bias in interval-censored survival models of grapevine phenology
Abstract European grapevine (Vitis vinifera L.) is a climate–sensitive perennial whose flowering and ripening govern yield and quality. Phenological records from monitoring programs are typically collected at irregular intervals, so true transition dates are interval-censored, and many site-years…
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Journal Article
Symbolic likelihood inference for discrete aggregated count data: an NBA application
Abstract In many modern applications, analysts observe only aggregated versions of discrete data, such as intervals or fixed-bin frequency summaries built from latent counts. Within the Symbolic Data Analysis framework, these aggregates are symbols generated by a known mapping of unobserved…
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Journal Article
Advancements in deep learning for early breast cancer detection using artificial intelligence models in low resource settings
Abstract Breast cancer remains a leading cause of mortality among women in low- and middle-income countries (LMICs), compounded by fewer radiologists available and resources for diagnosis. A narrative review that summarizes 45 peer-reviewed publications to date from 2018 to 2025 is presented for…
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Journal Article
Robust predictive analysis of international mobility among research talents
Abstract International organizations, policymakers and researchers have taken notice of the many facets of international mobility and its impact on both the countries of origin and destination. International mobility of research talent has become a critical concern for a developing nation like…
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Journal Article
Advancements in reinforcement learning for clinical decision-making in healthcare: a systematic review
Abstract Clinical decision-making increasingly relies on data-driven tools, but most systems today are still predictive models that work at isolated time points. Reinforcement learning (RL) provides a different approach by optimizing sequences of actions under uncertainty. It’s often seen as a…
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Journal Article
Machine learning algorithms for detecting and mitigating discriminatory patterns in mortgage lending: a systematic review
Abstract This review synthesizes research on machine learning algorithms effectiveness in detecting discriminatory patterns in mortgage lending, focusing on decision trees, neural networks, and support vector machines, to address challenges in bias identification and mitigation. The review aimed to…
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Journal Article
The Kaplan–Meier estimator as a sum over units
Abstract A sum-wise formulation is proposed for the Kaplan–Meier product limit estimator of partially right-censored survival data. The population estimator is expressed as a sum over the individual units’ empirical and semi-empirical contributions, for observed and censored failures, respectively…
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Journal Article
Conformalized selective regression
Abstract Should prediction models always deliver a prediction? In the pursuit of maximum predictive performance, critical considerations of reliability are often overshadowed, particularly when it comes to the role of uncertainty. Selective regression, also known as the “reject option,” allows…
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Journal Article
Geospatial-based location-aware recommendation of banking services in the world of big data
Abstract Recommender system applications in the financial sector, specifically banking, in fast growing cities like Accra are characterized by serious challenges such as the use of stagnant distance-based search, unreliable GPS positioning, unreliable geocoding accuracy, routes oblivious to…
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Journal Article
R-based graphical user interface series for teaching and learning introductory stated preference methods: dichotomous choice contingent valuation, discrete choice experiments, and best–worst scaling
Abstract Software is indispensable for implementing stated preference (SP) studies. Many software packages, particularly free and open-source ones, operate primarily through commands; this can create challenges for students learning SP methods, as those without prior programming experience may face…
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Journal Article
Data harmonizing via interpolation applied to brain age prediction
Abstract Brain age estimation using magnetic resonance imaging is a promising biomarker for detecting accelerated aging and neurodegenerative disorders. However, the development of robust clinical models is severely hampered by the “Effects of Site”, where scanner-specific biases obscure biological…
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Journal Article
A large-scale LLM-generated dataset for exploring social interactions and urban experiences across 21 global cities
Abstract Objectives We present a dataset designed to evaluate the capacity of Large Language Models (LLMs) to generate context-aware simulations of urban experiences across diverse cultural and socioeconomic settings. The dataset provides a globally distributed and scalable resource for the…
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Journal Article
Research dynamics in intensive aquaculture technologies with special reference to recirculating aquaculture system and biofloc technology: a scientometric analysis
Abstract Recirculating aquaculture systems (RAS) and biofloc technology (BFT) are increasingly recognized as sustainable aquaculture approaches, as they enhance water-use efficiency, improve biosecurity, allow high production intensity, and mitigate environmental impacts by reducing effluent…
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Journal Article
Designing of blockchain-based cyber security for the protection of Distributed Denial of Service (DDoS) attacks on client–server networks
Abstract The complexity and difficulty of the ongoing and unstoppable cybercrimes in the traditional or conventional Artificial Intelligence (AI) system create the worst problems for the recent day’s modern cyberspace. The traditional systems are always dependent on centralized systems, which have…
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Journal Article
Mathematical insights into the comparative effectiveness of chemotherapy and T-cell therapy of leukemia
Abstract Leukemia is recognized as a type of blood cancer originating in the bone marrow and is considered a major global health concern resulting from the uncontrolled proliferation of immature white blood cells in the bloodstream. A mathematical model was developed to evaluate leukemia treatment…