Results 211 to 220 of about 8,535,805 (358)
Bio-RegNet: A Meta-Homeostatic Bayesian Neural Network Framework Integrating Treg-Inspired Immunoregulation and Autophagic Optimization for Adaptive Community Detection and Stable Intelligence. [PDF]
Ma Y, Qu D, Pyrozhenko M.
europepmc +1 more source
What energy functions can be minimized via graph cuts?
V. Kolmogorov, R. Zabih
semanticscholar +1 more source
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley +1 more source
Predicting Low-Cycle Fatigue Life Using New Energy-Based Fatigue Damage Measures. [PDF]
Mroziński S +3 more
europepmc +1 more source
Designing sustainable supply chains in the energy-water-food nexus by the P-graph methodology
István Heckl +2 more
openalex +2 more sources
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu +3 more
wiley +1 more source
Optimizing wireless sensor networks using fuzzy triangular snake graph models and fuzzy topological indices. [PDF]
Hashem AF, Liaqat S, Mufti ZS, Hanif MF.
europepmc +1 more source
Excited-State WaveFunctions and Energies Predictedby Machine Learning Based on Graph Neural Networks
Xiang-Yang Liu (1408399) +3 more
openalex +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source

