Results 31 to 40 of about 2,166,508 (336)

Potato Leaf Chlorophyll Content Estimation through Radiative Transfer Modeling and Active Learning

Agronomy, 2023
Leaf chlorophyll content (LCC) significantly correlates with crop growth conditions, nitrogen content, yield, etc. It is a crucial indicator for elucidating the senescence process of plants and can reflect their growth and nutrition status.
Yuanyuan Ma, Chunxia Qiu, Jie Zhang, Di Pan, Chunkai Zheng, Heguang Sun, Haikuan Feng, Xiaoyu Song   +7 more
doaj   +1 more source

A Multiscale Hybrid Method

SIAM Journal on Scientific Computing
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabriel R. Barrenechea, Antonio Tadeu A. Gomes, Diego Paredes   +2 more
openaire   +2 more sources

Review of: "A Smart Vehicle Charging Station Identification Based On IOT with Hybrid Grey Wolf-Bat Optimization Enriched On Artificial Neural Networks Recognition Methods" [PDF]

, 2023
Shaik Shafi
openalex   +3 more sources

Information models for ensuring the sustainability of transport operations formation in the context of digitalization [PDF]

ITM Web of Conferences
The conditions for the formation of an information model for ensuring transport activities in the context of digitalization and the digital transformation of the transport industry are considered.
Mukhina Kseniia, Burmenko Tatiana, Gelek Sergey   +2 more
doaj   +1 more source

Hybrid evolutionary optimization algorithm MPSO-SA [PDF]

International Journal for Simulation and Multidisciplinary Design Optimization, 2010
This paper proposes a new method for a modified particle swarm optimization algorithm (MPSO) combined with a simulated annealing algorithm (SA). MPSO is known as an efficient approach with a high performance of solving optimization problems in many ...
El Hami N., Ellaia R., Itmi M.
doaj   +1 more source

Recommendation Systems: An Insight Into Current Development and Future Research Challenges

IEEE Access, 2022
Research on recommendation systems is swiftly producing an abundance of novel methods, constantly challenging the current state-of-the-art. Inspired by advancements in many related fields, like Natural Language Processing and Computer Vision, many hybrid
Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli, Andrea Gasparetto   +3 more
doaj   +1 more source

Hybrid Deterministic-Stochastic Methods for Data Fitting

, 2011
Many structured data-fitting applications require the solution of an optimization problem involving a sum over a potentially large number of measurements.
Kumar S., Mark Schmidt, Michael P. Friedlander, Nedic A., Sang E., Vishwanathan S. V. N.   +5 more
core   +4 more sources

Hybrid Methods Based on Empirical Mode Decomposition for Non-Invasive Fetal Heart Rate Monitoring

IEEE Access, 2020
This study focuses on fetal electrocardiogram (fECG) processing using hybrid methods that combine two or more individual methods. Combinations of independent component analysis (ICA), wavelet transform (WT), recursive least squares (RLS), and empirical ...
Katerina Barnova, Radek Martinek, Rene Jaros, Radana Kahankova   +3 more
doaj   +1 more source

Ant colony optimisation and local search for bin-packing and cutting stock problems [PDF]

, 2003
The Bin Packing Problem and the Cutting Stock Problem are two related classes of NP-hard combinatorial optimization problems. Exact solution methods can only be used for very small instances, so for real-world problems, we have to rely on heuristic ...
Bauer A, Bilchev G, Bonabeau E, Coffman EG, Dorigo M, Falkenauer E, Gambardella L, Hinterding R, Leguizamon G, Martello S, Michel R, Stützle T, Winston WL   +12 more
core   +2 more sources

Hybrid methods for function generation [PDF]

, 1961
A method of function generation is discussed based on the use of hybrid digital analogue techniques. A brief description of a quantizer is given together with some experimental results.
Paul, R. J. A.
core