A GPU based local search algorithm for the unweighted and weighted maximum s-plex problems
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Operations Research"
DOI: 10.1007/s10479-019-03159-5
Abstract: Given a graph G(V, E) and a value $$s \in {\mathbb {N}}$$s∈N, an s-plex S is a subset of V such that each vertex $$v \in S$$v∈S has at least $$|S|-s$$|S|-s adjacent vertices in the subgraph… read more here.
Keywords: gpu based; local search; algorithm unweighted; based local ... See more keywords
Coalitional game theory based local power exchange algorithm for networked microgrids
Sign Up to like & getrecommendations! Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.01.208
Abstract: The future distribution network may encompass a large number of microgrids, in which case local networked microgrids can be formed and all the microgrids in the network be connected to the main grid through a… read more here.
Keywords: power; game theory; coalitional game; based local ... See more keywords
Defining Street-based Local Area and measuring its effect on house price using a hedonic price approach: The case study of Metropolitan London
Sign Up to like & getrecommendations! Published in 2017 at "Cities"
DOI: 10.1016/j.cities.2016.08.008
Abstract: An under-explored topic within the field of planning and housing studies is related to the definition of local area unit. An empirical problem that arises is that different types of local area units can infer… read more here.
Keywords: based local; street; local area; area ... See more keywords
Exploring the Accuracy Limits of PNO-Based Local Coupled-Cluster Calculations for Transition-Metal Complexes
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Chemical Theory and Computation"
DOI: 10.1021/acs.jctc.3c00087
Abstract: While the domain-based local pair natural orbital coupled-cluster method with singles, doubles, and perturbative triples (DLPNO-CCSD(T)) has proven instrumental for computing energies and properties of large and complex systems accurately, calculations on first-row transition metals… read more here.
Keywords: dlpno ccsd; accuracy; coupled cluster; based local ... See more keywords
Principles for designing Agroecology-based Local (territorial) Agri-food Systems: a critical revision
Sign Up to like & getrecommendations! Published in 2021 at "Agroecology and Sustainable Food Systems"
DOI: 10.1080/21683565.2021.1913690
Abstract: ABSTRACT Alternative food systems and networks, which have emerged around the world, are often fragmentary, reduced in size and frequently unfold in parallel, hardly linked to each other. Agroecology faces the challenge of scaling up… read more here.
Keywords: based local; agroecology; agroecology based; agri food ... See more keywords
Phase-Gradient Metasurfaces Based on Local Fabry–Pérot Resonances
Sign Up to like & getrecommendations! Published in 2020 at "Chinese Physics Letters"
DOI: 10.1088/0256-307x/37/9/097801
Abstract: In this work we present a new mechanism for designing phase-gradient metasurfaces (PGMs) to control an electromagnetic wavefront with high efficiency. Specifically, we design a transmission-type PGM formed by a periodic subwavelength metallic slit array… read more here.
Keywords: local fabry; based local; gradient metasurfaces; metasurfaces based ... See more keywords
A Two-Stage Algorithm for the Detection and Removal of Random-Valued Impulse Noise Based on Local Similarity
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3040760
Abstract: A two-stage denoising algorithm based on local similarity is proposed to process lowly and moderate corrupted images with random-valued impulse noise in this paper. In the noise detection stage, the pixel to be detected is… read more here.
Keywords: impulse noise; stage; local similarity; noise ... See more keywords
Unsupervised Seismic Random Noise Suppression Based on Local Similarity and Replacement Strategy
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3272905
Abstract: Improving the signal-to-noise ratio and suppressing random noise in seismic data is critical for high-precision processing. Although deep learning-based algorithms have gained popularity as denoising methods, they suffer from poor generalization ability, resulting in high… read more here.
Keywords: local similarity; noise; random noise; similarity replacement ... See more keywords
Enhanced GPIS Learning Based on Local and Global Focus Areas
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3197905
Abstract: Implicit surface learning is one of the most widely used methods for 3D surface reconstruction from raw point cloud data. Current approaches employ deep neural networks or Gaussian process models with the trade-offs across computational… read more here.
Keywords: local global; learning based; gpis; based local ... See more keywords
Synthetic Speech Detection Based on Local Autoregression and Variance Statistics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3183951
Abstract: With the development of speech synthesis technology, the existing synthetic speech detection (SSD) methods cannot generalize well for unknown synthesis algorithms. And thus, this kind of speech forensics task meets a great challenge and has… read more here.
Keywords: speech; speech detection; detection based; based local ... See more keywords
SGLBP: Subgraph‐based Local Binary Patterns for Feature Extraction on Point Clouds
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14500
Abstract: Extraction for points that can outline the shape of a point cloud is an important task for point cloud processing in various applications. The topology information of the neighbourhood of a point usually contains sufficient… read more here.
Keywords: topology; local binary; subgraph based; based local ... See more keywords