Results 91 to 100 of about 4,183,452 (294)

Mathematical optimization in philology [PDF]

Mathematical programming (or optimization) is a key tool in solving many problems of philology and machine linguistics. His methods are used to analyze textual data, develop natural language processing (NLP) models, and create automated language ...
Krasniuk, Svitlana
core   +1 more source

Approximation of an Optimal BV -Control Problem in the Coefficient for the p(x)-Laplace Equation

Journal of Optimization, Differential Equations and Their Applications
We study a Dirichlet optimal control problem for a quasilinear monotone elliptic equation with the so-called weighted p(x)-Laplace operator. The coefficient of the p(x)-Laplacian, the weight u, we take as a control in BV (Ω) ∩ L∞(Ω).
Ismail Aydin, Peter Kogut
doaj   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
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, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Optimization algorithms combining (meta)heuristics and mathematical programming and its application in engineering

, 2018
Complex optimization problems can be tackled by means of mathematical programming methods as well as by means of (meta)heuristic methods. On the one hand, mathematical programming methods give us a guarantee of optimality while (meta)heuristic methods do
Rodríguez, Nibaldo, Gupta, Abhishek, Zabala, Paula L., Cabrera-Guerrero, Guillermo   +3 more
core   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Dirac‐Source Linear X‐Ray Detection Diode

Advanced Functional Materials, EarlyView.
Monolayer graphene imparts near linear current‐voltage behavior to a perovskite X‐ray detection diode, contrasting with conventional diode‐like responses. Exploiting graphene's Dirac dispersion and a Schottky‐like back‐to‐back junction, the device achieves six‐orders‐of‐magnitude dark current suppression while retaining linearity over 200 V, enabling ...
Babar Shabbir, Shoaib Masood, Jialu Li, R. A. W. Ayyubi, Naeimeh Mozaffari, Mosarof Hossain, Nasir Mahmood, Muhammad Nadeem, Jacek J. Jasieniak   +8 more
wiley   +1 more source

Empipe3D™ User’s Manual Version 4.0 -- PC

, 1997
Empipe3D is a powerful and friendly software system for automated electromagnetic (EM) design optimization, driving the 3D field solvers Ansoft HFSS and HP HFSS.
Bandler, John W., Biernacki, R.M., Chen, S.H., Optimization Systems Associates   +3 more
core   +2 more sources

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

Advanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep, Andrea Samore, Alistair McEwan, Andrew McBride, Shanmugam Kumar   +4 more
wiley   +1 more source

Higher-order multi-scale computational method and its error estimation for heat conduction problem of quasi-periodic composite structures

Nantong Daxue xuebao. Ziran kexue ban
In this paper, a comprehensive computational framework is established based on multiscale asymptotic analysis for analyzing the heat conduction performances of quasi-periodic composite structures, integrating lower-and higher-order microscopic unit cell ...
DING Yifei; DONG Hao
doaj   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

Advanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi, Federico Rondelli, Francesco Torricelli, Federica Velluto, Anna De Salvo, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini   +7 more
wiley   +1 more source