Results 181 to 190 of about 2,267,806 (242)
Design and Implementation of a Low-Cost Perception System for Aerial Robots in Confined Spaces. [PDF]
Basnet S, Andersen JC, Boukas E.
europepmc +1 more source
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems. [PDF]
Nyangon J.
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Exploring Cultural Evolution Through Modular Dynamics in Temporal Hashtag Networks. [PDF]
Hashimoto Y, Sato H, Ikegami T.
europepmc +1 more source
This study develops an MMP‐9‐responsive protein release system that transforms resident cells into drug depots through in situ genetic engineering. Anchored to the membrane, the therapeutic protein TIMP1 is selectively released upon MMP‐9 cleavage.
Yuan Zhang +11 more
wiley +1 more source
Enhanced Moss Growth Optimization with Benchmark Validation and a Wastewater Treatment Prediction Case Study. [PDF]
Li Z, Tang S.
europepmc +1 more source
First‐principles calculations reveal that monolayer In2O${\rm In}_2{\rm O}$ hosts type‐II Dirac fermions near the Fermi level, which split into Weyl points under spin‐orbit coupling. The material exhibits negative and giant magnetoresistance, a pronounced spin Hall effect, and phonon‐mediated superconductivity at 1.5 K, establishing it as a unique ...
Qing‐Bo Liu +6 more
wiley +1 more source
Next-generation ICDs: Individualised Selection for Improved Cardiac Outcomes. [PDF]
Toon LT, Monkhouse C, Ullah W, Paisey J.
europepmc +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source

