Results 261 to 270 of about 2,504,885 (377)
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
IPHM: Incremental periodic high-utility mining algorithm in dynamic and evolving data environments. [PDF]
Huang H, Chen S, Chen J.
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
Database energy saving strategy using blockchain and Internet of Things. [PDF]
Yang D, Yu J, He Z, Li P.
europepmc +1 more source
GAME SEMANTICS OF THE TRANSACTION ROLLBACK DATABASE OPERATION
Veronika SZABÓOVÁ+3 more
openalex +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
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
Optimization algorithm of association rule mining for heavy-haul railway freight train fault data based on distributed parallel computing. [PDF]
Bai Y+5 more
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
Blockchain modeled swarm optimized lyapunov smart contract deep reinforced secure tasks offloading in smart home. [PDF]
Preethi, Ulla MM, R S, Devadas RM.
europepmc +1 more source