Results 1 to 10 of about 1,466,009 (282)

MECOA: A Multi-Strategy Enhanced Coati Optimization Algorithm for Global Optimization and Photovoltaic Models Parameter Estimation [PDF]

Biomimetics
To address the limitations of the traditional Coati Optimization Algorithm (COA), such as insufficient global exploration, poor population cooperation, and low convergence efficiency in global optimization and photovoltaic (PV) model parameter ...
Hang Chen, Maomao Luo
doaj   +2 more sources

Customer-centric product presentations for monoclonal antibodies

AAPS Open, 2023
Delivering customer-centric product presentations for biotherapeutics, such as monoclonal antibodies (mAbs), represents a long-standing and paramount area of engagement for pharmaceutical scientists.
Beate Bittner
doaj   +1 more source

Surrogate-based optimization approach for capacitated hub location problem with uncertainty

Cogent Engineering, 2023
CJ Logistics has started to consider opening single new hub facility to expand the current transportation network system. This naturally leads to formulating a research question “where should the new hub facility be located in South Korea to minimize ...
Junghyun Kim, Changyun Chung
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Global Optimization Requires Global Information [PDF]

Journal of Optimization Theory and Applications, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephens, C. P., Baritompa, W.
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DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

npj Digital Medicine, 2023
The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation.
Julien Heitmann, Alban Glangetas, Jonathan Doenz, Juliane Dervaux, Deeksha M. Shama, Daniel Hinjos Garcia, Mohamed Rida Benissa, Aymeric Cantais, Alexandre Perez, Daniel Müller, Tatjana Chavdarova, Isabelle Ruchonnet-Metrailler, Johan N. Siebert, Laurence Lacroix, Martin Jaggi, Alain Gervaix, Mary-Anne Hartley, with the Pneumoscope Study Group   +17 more
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Color imaging using a system based on 3 diffractive lenses

Компьютерная оптика, 2023
The possibility of essentially reducing the weight and production cost of computer vision systems has led to the publication of a large number of research works dealing with the development of new imaging systems based on diffractive optics.
S. Stepanenko, V. Evdokimova , M. Petrov, R. Skidanov, A. Nikonorov   +4 more
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Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study

BMC Pulmonary Medicine, 2021
Background Lung auscultation is fundamental to the clinical diagnosis of respiratory disease. However, auscultation is a subjective practice and interpretations vary widely between users. The digitization of auscultation acquisition and interpretation is
Alban Glangetas, Mary-Anne Hartley, Aymeric Cantais, Delphine S. Courvoisier, David Rivollet, Deeksha M. Shama, Alexandre Perez, Hervé Spechbach, Véronique Trombert, Stéphane Bourquin, Martin Jaggi, Constance Barazzone-Argiroffo, Alain Gervaix, Johan N. Siebert   +13 more
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Global Optimization of Cultivar Trait Parameters in the Simulation of Sugarcane Phenology Using Gaussian Process Emulation

Agronomy, 2021
The global optimization of parameters in process-based crop models is often considered computationally expensive. Gaussian process (GP) emulation is a widely used method for reducing the computational burden of the optimization process.
W. B. M. A. C. Bandara, Kazuhito Sakai, Tamotsu Nakandakari, Preecha Kapetch, Mitsumasa Anan, Shinya Nakamura, Hideki Setouchi, R. H. K. Rathnappriya   +7 more
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Global optimization via optimal decision trees

Journal of Global Optimization, 2023
AbstractThe global optimization literature places large emphasis on reducing intractable optimization problems into more tractable structured optimization forms. In order to achieve this goal, many existing methods are restricted to optimization over explicit constraints and objectives that use a subset of possible mathematical primitives.
Dimitris Bertsimas, Berk Öztürk
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Mountain Segmentation Based on Global Optimization with the Cloth Simulation Constraint

Remote Sensing, 2023
Mountains are an important research object for surveying, mapping, cartography, space science, and ecological remote sensing. Automatic mountain segmentation is one of the most critical techniques in large-scale mountain analyses.
Lekang Wen, Jun He, Xu Huang
doaj   +1 more source