Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
N-soliton, Hth-order breather, hybrid and multi-pole solutions for a generalized variable-coefficient Gardner equation with an external force in a plasma or fluid
A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
Deep learning on medical image analysis
Abstract Medical image analysis plays an irreplaceable role in diagnosing, treating, and monitoring various diseases. Convolutional neural networks (CNNs) have become popular as they can extract intricate features and patterns fr...
Integrated uncertain optimal design strategy for truss configuration and attitude–vibration control in rigid–flexible coupling structure with interval uncertainties
Unlocking Zero Liquid Discharge: A Parallel Water Supply Strategy to Realize Selective Salt Crystallization for Long‐Term Interfacial Solar Evaporation
AbstractInterfacial solar evaporation offers a green and sustainable solution to solve clean water shortages via solar‐driven desalination. However, salt crystallization and accumulation on solar evaporators have become the primary hindrances to t...
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...
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...
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...
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...
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
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...
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 ...
Neuromorphic computing at scale
H5N1 clade 2.3.4.4b dynamics in experimentally infected calves and cows
Synergistic Atomic Environment Optimization of Nickel–Iron Dual Sites by Co Doping and Cr Vacancy for Electrocatalytic Oxygen Evolution
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...
Machine Learning-Assisted High-Donor-Number Electrolyte Additive Screening toward Construction of Dendrite-Free Aqueous Zinc-Ion Batteries
Datopotamab Deruxtecan Versus Chemotherapy in Previously Treated Inoperable/Metastatic Hormone Receptor–Positive Human Epidermal Growth Factor Receptor 2–Negative Breast Cancer: Primary Results From TROPION-Breast01
PURPOSE The global, phase 3, open-label, randomized TROPION-Breast01 study assessed the trophoblast cell surface antigen 2–directed antibody-drug conjugate datopotamab deruxtecan (Dato-DXd) versus investigator's choice of chemotherapy ...
SaaS Metrics
Academic Publication