Results 221 to 230 of about 296,521 (271)
A lightweight scalable and dynamic blockchain-based model for storing and retrieving patient healthcare records. [PDF]
Soleimani Nadaf SR +3 more
europepmc +1 more source
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Distributed vs. centralized database systems: Transaction execution cost and performance analysis
Dushan Z. Badal
openalex +1 more source
Multiple biometric authentication for online banking system based on multiple fuzzy approach. [PDF]
Anwar NM +4 more
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
Privacy-Preserving in FiDoop, Mining of Frequent Itemsets from Outsourced Transaction Databases
C . Nithin, A V Krishna Mohan
openalex +1 more source
Blockchain and digital twin integration for predictive and secure pandemic alerting. [PDF]
V P, R K.
europepmc +1 more source
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
Multi-level high utility-itemset hiding. [PDF]
Nguyen LTT, Duong H, Mai A, Vo B.
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source

