Results 121 to 130 of about 15,536 (307)
Solving 0-1 Knapsack and Bin Packing Problem Using Logical Social Group Optimization
IEEE AccessThe 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. Both problems have prominent utilization in the real world such as in resource allocation, logistics ...
Rhiddhi Prasad Das +3 more
doaj +1 more source
Asynchronous binarization for synchronous grammars
, 2009 Binarization of n-ary rules is critical for the effi-ciency of syntactic machine translation decoding. Because the target side of a rule will generally reorder the source side, it is complex (and some-times impossible) to find synchronous rule bina ...
Adam Pauls, Dan Klein, John Denero
core +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Image Processing Technique for Enhanced Combustion Efficiency of Wood Pellets
EnergiesThe combustion efficiency of wood pellets is partly affected by their average length. The ISO 17829 standard defines the methodology for assessing the average length of sample pellets, but the method does not always lead to representative data ...
Thomas Gasperini +5 more
doaj +1 more source
Automatic binarization of quantities
, 1970 summary:When processing automatically experimental data the need often occurs to replace a certain measured quantity by one or more properties (i.e. the need of binarization of the given quantily).
Renc, Zdeněk
core +1 more source
In‐Sensor Computing by Soft Threshold Logic Gates Under Different Humidity Conditions
Advanced Electronic Materials, EarlyView.Soft nanocomposite materials, based on gold cluster‐assembled thin films implanted in polydimethylsiloxane substrate, can perform reliable processing in ambient environmental conditions. Humidity influences the resistive switching and computational capabilities of the nanocomposites, that can be used as multifunctional material combining sensing ...
Giacomo Nadalini +2 more
wiley +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Advanced Electronic Materials, EarlyView.ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
A new hybrid binarization method based on Kmeans
, 2014 International audienceThe document binarization is a fundamental processing step toward Optical Character Recognition (OCR). It aims to separate the foreground text from the document background.
Rostom Kachouri +5 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
, 1997 9 pages, LATEX file. ASP Series style macro (included). Contribution to "10th Cambridge Workshop.
openaire +2 more sources