Results 151 to 160 of about 163,780 (214)

Efficient Inference in First Passage Time Models. [PDF]

Stat Comput
Liu S, Fengler A, Frank MJ, Harrison MT.
europepmc   +1 more source

A Compact Aperture-Slot Antipodal Vivaldi Antenna for GPR Systems. [PDF]

Sensors (Basel)
Shen F, Yang N, Xia C, Wan T, Kang J.
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Validation of an agent-based model for cell interactions in a microfluidic chip. [PDF]

PLoS One
Panunzi S, Pompa M, D'Angelo PM, Bretti G, De Gaetano A.   +4 more
europepmc   +1 more source

Few-shot molecular property optimization <i>via</i> a domain-specialized large language model. [PDF]

Chem Sci
Guo Y, Luo M, Zhang W, Liu P, Liu J, Huang S, Lv J, Ke B, Liu X.   +8 more
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HED-ID: an edge-deployable and explainable intrusion detection system optimized via metaheuristic learning. [PDF]

Sci Rep
Nasir K, Badri SK, Alghazzawi DM, Alghamdi MY, Alkhozae M, Almakky A, Alhazmi RM, Asghar MZ.   +7 more
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Energy-Efficient 3D Trajectory Optimization and Resource Allocation for UAV-Enabled ISAC Systems. [PDF]

Entropy (Basel)
Jing L, Wang H, Qin Z, Zhao Y, Zhu Y, Zhao W.   +5 more
europepmc   +1 more source

An enhanced connected banking system optimizer incorporating triple mechanism for solving global optimization problems. [PDF]

Sci Rep
Qian D, Cai X, Feng L, Ye Y.
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Value-added assessment of career planning for vocational competence based on deep learning. [PDF]

Sci Rep
Zhang W.
europepmc   +1 more source

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Framework for sequential approximate optimization

Structural and Multidisciplinary Optimization, 2004
An object-oriented framework for Sequential Approximate Optimization (SAO) isproposed. The framework aims to provide an open environment for thespecification and implementation of SAO strategies. The framework is based onthe Python programming language and contains a toolbox of Python classes,methods, and interfaces to external software.
Jacobs, J.H., Etman, L.F.P., Keulen, van, F., Rooda, J.E.   +3 more
openaire   +2 more sources

An interior-point sequential approximate optimization methodology

Structural and Multidisciplinary Optimization, 2002
The use of optimization in a simulation-based design environment has become a common trend in industry today. Computer simulation tools are commonplace in many engineering disciplines, providing the designers with tools to evaluate a design’s performance without building a physical prototype.
Victor Perez, John Renaud, Layne Watson
openaire   +1 more source