Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Towards a carbon-free society: Innovations in green energy for a sustainable future
Enhanced clash detection in building information modeling: Leveraging modified extreme gradient boosting for predictive analytics
Emerging trends in sustainable building materials: Technological innovations, enhanced performance, and future directions
The evolution of urban ecological resilience: An evaluation framework based on vulnerability, sensitivity and self-organization
Green entrepreneurship success in the age of generative artificial intelligence: The interplay of technology adoption, knowledge management, and government support
Generative AI usage and sustainable supply chain performance: A practice-based view
Physics-informed Neural Networks (PINN) for computational solid mechanics: Numerical frameworks and applications
Multi‐Scale Soil Salinization Dynamics From Global to Pore Scale: A Review
AbstractSoil salinization refers to the accumulation of water‐soluble salts in the upper part of the soil profile. Excessive levels of soil salinity affects crop production, soil health, and ecosystem functioning. This phenomenon threatens agricul...
Designing nanotheranostics with machine learning
High-entropy non-covalent cyclic peptide glass
Polymer-locking fusogenic liposomes for glioblastoma-targeted siRNA delivery and CRISPR–Cas gene editing
A cuproptosis nanocapsule for cancer radiotherapy
Direct cytosolic delivery of siRNA via cell membrane fusion using cholesterol-enriched exosomes
Parkinson disease therapy: current strategies and future research priorities
Accurate RNA 3D structure prediction using a language model-based deep learning approach
Combined importance–performance map analysis (cIPMA) in partial least squares structural equation modeling (PLS–SEM): a SmartPLS 4 tutorial
AbstractRecent research on partial least squares structural equation modeling (PLS–SEM) extended the classic importance–performance map analysis (IPMA) by taking the results of a necessary condition analysis (NCA) into consideration. By also highl...
Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda
Digital product passport for sustainable and circular supply chain management: a structured review of use cases
Lightweight CNN architecture design for rolling bearing fault diagnosis
Abstract Rolling bearing is a key component of rotating machinery, and its fault diagnosis technology is very important to ensure the safety of equipment. With the rapid development of deep learning, the convolutional neural network...
Traffic-Aware Lightweight Hierarchical Offloading Toward Adaptive Slicing-Enabled SAGIN
SaaS Metrics
Academic Publication