Results 211 to 220 of about 296,521 (271)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Blockchain-enabled quality by design system for clinical trials. [PDF]
Vatankhah Barenji R, Hariry RE.
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
A knowledge-based preprocessor for approximate joins in improperly designed transaction databases
Lloyd Brodsky
openalex +1 more source
Optimizing IoV cloud trust with adaptive blockchain and reinforcement learning. [PDF]
S FS, R G.
europepmc +1 more source
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source
Implementing message oriented transaction processing for distributed database management systems
Subhash Bhalla, Stuart Madnick
openalex +1 more source
Evaluation of a "one-stop shop" for integrated harm reduction and primary care for people who inject drugs. [PDF]
Ibrahim N +7 more
europepmc +1 more source
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source
Measuring the effects of distributed database models on transaction availability measures [PDF]
Ravi Mukkamala
openalex

