Results 41 to 50 of about 2,590,839 (306)

Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets [PDF]

, 2012
Hoffmann N, Keck M, Neuweger H, et al. Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets. BMC Bioinformatics.
Keck, Matthias, Wilhelm, Mathias, Neuweger, Heiko, Stoye, Jens ; https://orcid.org/, Ching-Wei Wang, Hoffmann, Nils ; https://orcid.org/, Högy, Petra, Wang Ching-Wei, Niehaus, Karsten   +8 more
core   +1 more source

Dynamic optimization algorithm for vertical alignment of highways

, 2005
In all design criteria, earthwork optimization is essential for the determination of optimal vertical alignment of a highway project. Actually, there can be numerous grade line alternatives for given ground elevations; thus, the objective is to find out ...
Lav A.H., Altun S., Goktepe A.B.
core   +2 more sources

Face Alignment via Multi-Regressors Collaborative Optimization

IEEE Access, 2019
Face alignment is a fundamental step in facial image analysis. To solve the non-convex optimization problem, most cascade-based regression approaches conventionally utilize a single regressor to cover the entire optimization space.
Caifeng Liu, Lin Feng, Huibing Wang, Bin Wu   +3 more
doaj   +1 more source

Initialization and Alignment for Adversarial Texture Optimization

, 2022
While recovery of geometry from image and video data has received a lot of attention in computer vision, methods to capture the texture for a given geometry are less mature. Specifically, classical methods for texture generation often assume clean geometry and reasonably well-aligned image data.
Xiaoming Zhao 0001, Zhizhen Zhao 0001, Alexander G. Schwing   +2 more
openaire   +5 more sources

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

A general Bayesian algorithm for the autonomous alignment of beamlines

Journal of Synchrotron Radiation
Autonomous methods to align beamlines can decrease the amount of time spent on diagnostics, and also uncover better global optima leading to better beam quality.
Thomas W. Morris, Max Rakitin, Yonghua Du, Mikhail Fedurin, Abigail C. Giles, Denis Leshchev, William H. Li, Brianna Romasky, Eli Stavitski, Andrew L. Walter, Paul Moeller, Boaz Nash, Antoine Islegen-Wojdyla   +12 more
doaj   +1 more source

Adaptive Adjustment Graph Augmentation and Representation Structures for Recommendation Model [PDF]

Jisuanji gongcheng
Collaborative Filtering (CF) is an effective recommendation method that predicts user preferences by learning the representations of users and items. A recent study on CF has improved representation quality and enhanced recommendation performance from ...
GUO Tiansheng, XIE Jinkui
doaj   +1 more source

Gradient Descent Optimization-Based SINS Self-Alignment Method and Error Analysis

IEEE Access, 2021
In this paper, the self-alignment for stationary strapdown inertial navigation system (SINS) is formulated as an optimization problem, and two gradient descent optimization-based SINS self-alignment methods (GD1 and GD2) are proposed.
Jingchun Li, Jiachong Chang, Ya Zhang
doaj   +1 more source

To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance

Proceedings of the AAAI Conference on Artificial Intelligence
Multimodal learning often relies on aligning representations across modalities to enable effective information integration—an approach traditionally assumed to be universally beneficial. However, prior research has primarily taken an observational approach, examining naturally occurring alignment in multimodal data and exploring its correlation with ...
Wanlong Fang, Tianle Zhang, Alvin Chan
openaire   +3 more sources