Learning semantic similarity from sentence pairs using hybrid features centric approach and explainable siamese neural networks. [PDF]
Zhao W, Hu C.
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Semantic web services for simulation component reuse and interoperability: An ontology approach
Commercial-off-the-shelf (COTS) Simulation Packages (CSPs) are widely used in industry primarily due to economic factors associated with developing proprietary software platforms.
Lycett, M +5 more
core
Intelligent automated essay scoring under uncertainty using type 2 neutrosophic ontologies. [PDF]
Darwish SM, Bagi NA, El-Shoafy NA.
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
HybFusion: A holistic Android malware detection framework with advanced feature fusion and ensemble learning. [PDF]
Minh Manh V, Do Xuan C, Van NTK.
europepmc +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
YOLIP: An Enhanced Framework for UAV-Assisted Wildlife Monitoring Based on YOLO Integrated with the CLIP Model. [PDF]
Hu R +7 more
europepmc +1 more source
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source
Semantic Algorithmic Information Theory: From Kolmogorov Complexity to Semantic Equivalence. [PDF]
Wu J, Wang S, Niu K, She Y, Zhang P.
europepmc +1 more source

