Results 21 to 30 of about 39,658 (224)

How to build and analyze a panel data QCA model? A methodological demonstration of Garcia-Castro and Arino’s panel data QCA model

open access: yesMethodological Innovations, 2023
There are many different ways of analyzing panel data in QCA. In this article, I have demonstrated one of these ways, that is, how to build a panel data QCA model, following Garcia-Castro and Arino (2016).
Preya Bhattacharya
doaj   +1 more source

Assessment of New Coronary Features on Quantitative Coronary Angiographic Images With Innovative Unsupervised Artificial Adaptive Systems: A Proof-of-Concept Study

open access: yesFrontiers in Cardiovascular Medicine, 2021
Background and Purpose: The Active Connection Matrixes (ACMs) are unsupervised artificial adaptive systems able to extract from digital images features of interest (edges, tissue differentiation, etc.) unnoticeable with conventional systems.
Mauro Amato   +16 more
doaj   +1 more source

Performance evaluation of efficient combinational logic design using nanomaterial electronics

open access: yesCogent Engineering, 2017
Scaling down trend of CMOS transistor is approaching its lowest point, the rational substitute for the CMOS technology to attain advance improvements in terms of size, low power, and device density usage is an imperative essential.
Md. Abdullah-Al-Shafi   +3 more
doaj   +1 more source

Qualitative Comparative Analysis: Search Target, Reflection on the Top-Down Approach, and Introduction of the Bottom-Up Approach

open access: yesInternational Journal of Qualitative Methods, 2023
Based on the INUS theory of causality, the search target of qualitative comparative analysis (QCA) is to find all the minimally sufficient conditions for the outcome’s occurrence in a data set, where the condition’s sufficiency , the necessity of the ...
Haien Ding
doaj   +1 more source

QUANTUM-DOT CELLULAR AUTOMATA-BASED SUPERIOR DESIGN OF CONSERVATIVE REVERSIBLE PARITY LOGIC CIRCUITS

open access: yesJordanian Journal of Computers and Information Technology, 2021
Quantum-dot Cellular Automata (QCA) is an innovative technology in the nano-scale for changing the CMOS revolution with an alternative one. It provides some benefits in reversible logic, like competitive power consumption and feature size.
Ali H. Majeed
doaj   +1 more source

Arbiter Design Based On Quantum Dot Cellular Automata

open access: yesJordanian Journal of Computers and Information Technology, 2021
The development of nano-scale quantum dot cellular automata (QCA) has been drivern by the immense need for high performance and energy-efficient computational systems.
Ziyad Altarawneh, Mutaz Al-Tarawneh
doaj   +1 more source

A Simple n-Dimensional Intrinsically Universal Quantum Cellular Automaton

open access: yes, 2010
We describe a simple n-dimensional quantum cellular automaton (QCA) capable of simulating all others, in that the initial configuration and the forward evolution of any n-dimensional QCA can be encoded within the initial configuration of the ...
C. Durr   +21 more
core   +2 more sources

Quantum Cellular Automata Pseudo-Random Maps

open access: yes, 2004
Quantum computation based on quantum cellular automata (QCA) can greatly reduce the control and precision necessary for experimental implementations of quantum information processing.
Hellberg, C. Stephen   +1 more
core   +1 more source

A Quantum Game of Life [PDF]

open access: yes, 2010
This research describes a three dimensional quantum cellular automaton (QCA) which can simulate all other 3D QCA. This intrinsically universal QCA belongs to the simplest subclass of QCA: Partitioned QCA (PQCA).
Arrighi, Pablo, Grattage, Jonathan
core   +4 more sources

Coplanar QCA crossovers

open access: yesElectronics Letters, 2009
Quantum-dot cellular automata (QCA) is one of the promising next-generation fabrics for circuits. Coplanar wire crossings are one of the more elegant features of this new low-power computing paradigm. Proposed are coplanar wire crossovers using a single type of QCA cells, which has significant implications in fabrication and fault tolerance.
R. Devadoss, K. Paul, M. Balakrishnan
openaire   +1 more source

Home - About - Disclaimer - Privacy