Results 41 to 50 of about 79,058 (240)

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

SYSTEMS OF INTERVAL MIN-PLUS LINEAR EQUATIONS AND ITS APPLICATION ON SHORTEST PATH PROBLEM WITH INTERVAL TRAVEL TIMES [PDF]

, 2014
The travel times in a network are seldom precisely known, and then could be represented into the interval of real number, that is called interval travel times.
D. Arif Budi, Prasetyo, M. Andy, Rudhito
core  

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

SIZING, CYCLE TIME AND PLANT CONTROL USING DIOID ALGEBRA [PDF]

, 2004
Using an industrial process from the car sector, we show how dioid algebra may be used for the performance evaluation, sizing, and control of this discrete-event dynamic system.
Amari, Saïd, Demongodin, Isabel, Jacques Loiseau, Jean   +2 more
core   +2 more sources

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Identify Solutions to Systems of Linear Latin for Square Equations over Maxmin-ω

Jambura Journal of Mathematics
Maxmin-\omega algebra is a mathematical system that generalizes maxmin algebra by introducing the parameter \omega (0 \omega \leq 1), which regulates the algebraic operations to enhance its applicability in optimization and decision-making processes ...
Nilatul 'Azizah, Muhammad Syifa'ul Mufid
doaj   +1 more source

Max-plus-linear model-based predictive control for constrained HVLV manufacturing systems [PDF]

, 2011
International audienceIn this paper, a max-plus-linear model predictive con- trol strategy is proposed for High-Variety, Low-Volume (HVLV) systems. Firstly, using the (max,+) algebra, a di- rect generation of event-timing equations for determinis- tic ...
Boukezzoula, Reda, Habchi, Georges, Nasri, Imed   +2 more
core   +1 more source

SiOx‐Based Probabilistic Bits Enabling Invertible Logic Gate for Cryptographic Applications

Advanced Intelligent Systems, EarlyView.
To enable lightweight hardware encryption and decryption, a Ti/SiOx/Ti threshold switching device is engineered to generate controllable stochastic oscillations. By tuning the input voltage, the device produces a programmable spike probability governed by intrinsic switching dynamics, enabling probabilistic bits that construct an invertible ...
Jihyun Kim, Hyeonsik Choi, Jiyong Woo
wiley   +1 more source

Estimating Bandwidth and Analyzing Worst-Case Delay Bounds Using Network Calculus

IEEE Access
This paper proposes a bandwidth estimation framework for Network-on-Chip systems using network calculus, addressing the challenges due to nonlinear behavior and dynamic traffic.
Md Amirul Islam, Giovanni Stea
doaj   +1 more source

Modelling of continuous low‐temperature emulsion co‐polymerization in 3D‐printed reactor

The Canadian Journal of Chemical Engineering, EarlyView.
A kinetic model for the emulsion copolymerization of butyl acrylate/styrene at low temperatures is proposed and validated against experiments with a redox initiator system. The model was successfully transferred to a 3D‐printed tubular reactor and conversions of more than 80% and small particles sizes below 40 nm were observed.
Ferel Issa, Andreas Reinbeck, Kristina M. Zentel   +2 more
wiley   +1 more source