Results 71 to 80 of about 222,789 (279)
Machine Learning-Based Signal Detection for CoMP Downlink in Ultra-Dense Small Cell Networks
In the next generation wireless communication systems, high-speed data rate, reliable link quality, and ubiquitous access are necessary requirement. To meet the next generation communication system requirements, the ultra-dense small cell network (SCN ...
Wei-Shun Liao +5 more
doaj +1 more source
We describe a rapidly converging algorithm for solving the Kohn--Sham equations and equations of similar structure that appear frequently in calculations of the structure of inhomogeneous electronic many--body systems.
Auer, J., Krotscheck, E.
core +1 more source
Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim +14 more
wiley +1 more source
Mg‐based thermoelectrics are among the most promising candidates for power generation applications but their performance is compromised by Mg loss at device operation temperatures due to the higher chemical potential of Mg (μMg${\mu}_{\mathrm{Mg}}$) inside the material compared to the environment.
Aryan Sankhla +2 more
wiley +1 more source
Solid--on--Solid Model for Adsorption on Self--Affine Substrate: A Transfer Matrix Approach
We study a $d=2$ discrete solid--on--solid model of complete wetting of a rough substrate with random self--affine boundary, having roughness exponent $\zeta_s$.
A.L. Stella +21 more
core +2 more sources
A bimetallic Mn–Ca nanoreactor (MCC) is developed as a non‐nucleotide STING nanoagonist for cancer metalloimmunotherapy. MCC induces Ca2+ overload and hydroxyl radical generation, resulting in mitochondrial damage and mtDNA release. The released mtDNA cooperates with Mn2+ to robustly activate cGAS–STING signaling.
Xin Wang Mo +7 more
wiley +1 more source
Wijsman Rough Lacunary Statistical Convergence on I Cesaro Triple Sequences
In this paper, we defined concept of Wijsman I-Cesàro summability for sequences of sets and investigate the relationships between the concepts of Wijsman strongly I-Cesàro summability and Wijsman statistical I− Cesàro summability by using the concept of ...
N. Subramanian, A. Esi
doaj +2 more sources
Rough statistical convergence in neutrosophic normed spaces
Neutrosophic normed spaces, one of the recent hot issues in mathematics, are covered in this paper. The Neutrosophic approach is based on the idea that the degree of uncertainty should be taken into consideration and that it is insufficient to categorise problems in daily life as either right or wrong.
openaire +2 more sources
Elite Opposition-Based Cognitive Behavior Optimization Algorithm for Global Optimization
This paper presents an elite opposition-based cognitive behavior optimization algorithm (ECOA). The traditional COA is divided into three stages: rough search, information exchange and share, and intelligent adjustment process.
Zhang Shaoling +2 more
doaj +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source

