Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Similarity and quality metrics for MR image-to-image translation
Abstract Image-to-image translation can create large impact in medical imaging, as images can be synthetically transformed to other modalities, sequence types, higher resolutions or lower noise levels. To ensure patient safety, these met...
Deep Learning for Time Series Anomaly Detection: A Survey
Time series anomaly detection is important for a wide range of research fields and applications, including financial markets, economics, earth sciences, manufacturing, and healthcare. The presence of anomalies can indicate novel or unexpected even...
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions
In recent years, the notion of “the right to be forgotten” (RTBF) has become a crucial aspect of data privacy for digital trust and AI safety, requiring the provision of mechanisms that support the removal of personal data of individuals upon thei...
Leveraging Artificial Intelligence for predictive supply chain management, focus on how AI- driven tools are revolutionizing demand forecasting and inventory optimization
The dynamic landscape of global supply chains necessitates innovative solutions to tackle challenges in demand forecasting and inventory optimization. Traditional methods, often constrained by limited adaptability and scalability, struggle to mana...
Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions
Abstract Image data augmentation constitutes a critical methodology in modern computer vision tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; thereby, improving the performance and robustn...
From Vulnerability to Defense: The Role of Large Language Models in Enhancing Cybersecurity
The escalating complexity of cyber threats, coupled with the rapid evolution of digital landscapes, poses significant challenges to traditional cybersecurity mechanisms. This review explores the transformative role of LLMs in addressing critical c...
Be Aware of Transient Dissolution Processes in Co3O4 Acidic Oxygen Evolution Reaction Electrocatalysts
Methanol-Enhanced Low-Cell-Voltage Hydrogen Generation at Industrial-Grade Current Density by Triadic Active Sites of Pt1–Pdn–(Ni,Co)(OH)x
Testing and Evaluation of Health Care Applications of Large Language Models
ImportanceLarge language models (LLMs) can assist in various health care activities, but current evaluation approaches may not adequately identify the most useful application areas.ObjectiveTo summarize existing evaluations of LLMs in health care ...
A scoping review of privacy and utility metrics in medical synthetic data
Visitors’ self-expansion and perceived brand authenticity in a cultural heritage tourism destination
This paper discusses the influence of brand experience in tourism destinations on visitor behavioral intentions. The study developed and tested a conceptual model by integrating this theoretical relationship. The test involved 432 valid responses ...
Life cycle comparison of industrial-scale lithium-ion battery recycling and mining supply chains
Abstract Recycling lithium-ion batteries (LIBs) can supplement critical materials and improve the environmental sustainability of LIB supply chains. In this work, environmental impacts (greenhouse gas emissions, water consumption...
H5N1 clade 2.3.4.4b dynamics in experimentally infected calves and cows
Neuromorphic computing at scale
Instabilities and Mixing in Inertial Confinement Fusion
By imploding fuel of hydrogen isotopes, inertial confinement fusion (ICF) aims to create conditions that mimic those in the Sun's core. This is fluid dynamics in an extreme regime, with the ultimate goal of making nuclear fusion a viable clean ene...
Direct Photocatalytic Oxidation of Methane to Formic Acid with High Selectivity via a Concerted Proton–Electron Transfer Process
Synergistic Atomic Environment Optimization of Nickel–Iron Dual Sites by Co Doping and Cr Vacancy for Electrocatalytic Oxygen Evolution
Machine learning based prediction models for cardiovascular disease risk using electronic health records data: systematic review and meta-analysis
Abstract Cardiovascular disease (CVD) remains a major cause of mortality in the UK, prompting the need for improved risk predictive models for primary prevention. Machine learning (ML) models utilizing electronic health records (EHR...
Current applications and challenges in large language models for patient care: a systematic review
Abstract Background The introduction of large language models (LLMs) into clinical practice promises to improve patient education and empowerment, thereby personalizing medical care and br...
Algorithmic Management in Organizations? From Edge Case to Center Stage
This article offers a comprehensive review of the literature on algorithmic management (AM), focusing on insights from human resource management (HRM), organizational psychology (OP), and organizational behavior (OB). It examines how AM is concept...
SaaS Metrics
Academic Publication