Results 71 to 80 of about 867,116 (279)
Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +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
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li +7 more
wiley +1 more source
Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni +4 more
wiley +1 more source
Rough statistical convergence and rough ideal convergence in random 2-normed spaces
This study?s main goal is to define approximate statistical convergence in spaces with probabilistic norms. The idea of convergence in random 2-normed space is more generalized as a result of our demonstrations of some fundamental features and examples of convergence in linear spaces with norms.
openaire +1 more source
Rough ideal convergence in G2NS
In this paper, we demonstrate that the generalized 2-norm space (G2NS) cannot be metrized, even if it is not a regular space. Additionally, we introduce and explore some issues related to the sets of rough I-limit points and I-cluster points over G2NS, and we show how these sets can differ from the established fundamental results.
Tamim Aziz, Sanjoy Ghosal
openaire +1 more source
Rough Ideal Convergence in 2-Normed Spaces
In this study, using the concepts of I-convergence and rough convergence, we introduced the notion of rough I-convergence and giving example investigated the relation between I-convergence and rough I-convergence in 2-normed space.
Erdinc DUNDAR, Mukaddes ARSLAN
core +1 more source
This study advances SafeWax, a bio‐inspired, fatty‐acids‐based superhydrophobic coating, by identifying an agriculturally compliant solvent and revealing how solvent‐controlled Fatty acid crystallization governs the coating's microscopic structure and performance.
Niv Ben‐Arie +13 more
wiley +1 more source
A new type of convergence for a sequence of rays
In this work, we introduce the concept of rough convergence for a sequence of rays and obtain some basic results. In thiscontext, if we take r = 0 then we obtain the classical results in the theory of rays.
znur lmez, Salih Aytar
doaj
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

