Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Metabolic dysfunction-associated steatotic liver disease: heterogeneous pathomechanisms and effectiveness of metabolism-based treatment
Thermal ablation versus surgical resection of small-size colorectal liver metastases (COLLISION): an international, randomised, controlled, phase 3 non-inferiority trial
Nucleotide Transformer: building and evaluating robust foundation models for human genomics
KRAS inhibitors: resistance drivers and combinatorial strategies
Machine learning algorithms translate big data into predictive breeding accuracy
Managing the VUCA environment: The dynamic role of organizational learning and strategic agility in B2B versus B2C firms
Dynamic capabilities and multi-sided platforms: Fostering organizational agility, flexibility, and resilience in B2B service ecosystems
Artificial intelligence-driven method for the discovery and prevention of distributed denial of service attacks
Distributed denial of service (DDoS) attacks has emerged as a prominent cyber threat in contemporary times. By impeding the machine's capacity to give services to legitimate clients, the impacted system performance and buffer size are reduced. Res...
A review of lithium-ion battery recycling for enabling a circular economy
PPRU: A Privacy-Preserving Reputation Updating Scheme for Cloud-Assisted Vehicular Networks
A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
GraphMLP: A graph MLP-like architecture for 3D human pose estimation
TBConvL-Net: A hybrid deep learning architecture for robust medical image segmentation
Generative AI-Driven Semantic Communication Networks: Architecture, Technologies, and Applications
EASL Clinical Practice Guidelines on the management of hepatocellular carcinoma
Ultrathin broadband terahertz metamaterial based on single-layer nested patterned graphene
An overview on the recent advances in robot-assisted compensation methods used in machining lightweight materials
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...
DESI 2024 VI: cosmological constraints from the measurements of baryon acoustic oscillations
Abstract We present cosmological results from the measurement of baryon acoustic oscillations (BAO) in galaxy, quasar and Lyman-α forest tracers from the first year of observations from the Dark Energy Spectroscopic Instrument (...
A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects
SaaS Metrics
Academic Publication