Results 191 to 200 of about 2,661 (306)

Nonplanar Atomic Layer Deposition (ALD)‐Niobium Oxide (NbOx) Neurons for Oscillatory Neural Network Applications

Advanced Intelligent Systems, EarlyView.
This article presents a nonplanar niobium oxide (NbOx) neuron device fabricated using an atomic layer deposition (ALD) method for use in oscillatory neural networks (ONNs). Potentially, such nonplanar geometry allows for high‐density arrays. The desired threshold switching (TS) characteristics are achieved through an interfacial method using a thin ...
Jaehyun Moon, Kitae Kim, Jihyun Kim, Soohyung Park, Yeonjin Yi, Jiyong Woo, Seung‐Youl Kang   +6 more
wiley   +1 more source

Lengths of factorizations of integer-valued polynomials on Krull domains with prime elements. [PDF]

Arch Math
Fadinger-Held V, Windisch D.
europepmc   +1 more source

NP-Complete Sets for Computing Discrete Logarithms and Integer Factorization

, 2013
Shingo Hasegawa, Shuji Isobe, Hiroki Shizuya   +2 more
openalex   +2 more sources

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source

On Algebraic Properties of Primitive Eisenstein Integers with Applications in Coding Theory. [PDF]

Entropy (Basel)
Hadi A, Isnaini U, Wijayanti IE, Ezerman MF.   +3 more
europepmc   +1 more source

Semantic Fixed Point Formulation for Integer Factorization. (IEEE)

Yoon A Limsuwan
openalex   +1 more source

QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models

Advanced Intelligent Systems, EarlyView.
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel, Ming‐Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan   +5 more
wiley   +1 more source

A Novel 3D Reversible Data Hiding Scheme Based on Integer-Reversible Krawtchouk Transform for IoMT. [PDF]

Sensors (Basel), 2023
Yamni M, Daoui A, Pławiak P, Mao H, Alfarraj O, El-Latif AAA.   +5 more
europepmc   +1 more source

Linear Recurrences with Polynomial Coefficients and Application to Integer Factorization and Cartier–Manin Operator

, 2007
Alin Bostan, Pierrick Gaudry, Éric Schost   +2 more
openalex   +2 more sources

Short‐Term Scheduling Optimization of a Single‐Pipeline Refining System With High Melting Point Crude Oil

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao, Xianxin Liu, Zhen Pan, Chengming Hao, Xiangwei Xu, Wei Jia   +5 more
wiley   +1 more source