Results 91 to 100 of about 1,116,663 (238)

Skeletal‐Driven Animation of Anatomical Humans via Neural Deformation Gradients

open access: yesComputer Graphics Forum, EarlyView.
Abstract Most real‐time animation techniques for digital humans are limited to deforming the outer skin surface. Geometric skinning methods are highly efficient but struggle with artifacts such as collapsing joints or self‐intersections when animating inner anatomy along with the outer skin.
G. Nolte   +3 more
wiley   +1 more source

Infection Aware Hyper-Heuristic Framework for Hospital Room–Patient Matching

open access: yesAlgorithms
The assignment of hospital rooms to patients is a critical operational decision that has a direct impact on patient safety, infection control, and staff workload.
Kassem Danach   +2 more
doaj   +1 more source

Establishing Shape Correspondences: A Survey

open access: yesComputer Graphics Forum, EarlyView.
Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley   +1 more source

Constructing constrained-version of magic squares using selection hyper-heuristics

open access: yes, 2013
A square matrix of distinct numbers in which every row, column and both diagonals have the same total is referred to as a magic square. Constructing a magic square of a given order is considered a difficult computational problem, particularly when ...
Ender Özcan (8405952)   +1 more
core  

A Bi-objective Hyper-Heuristic Support Vector Machines for Big Data Cyber-Security

open access: yesIEEE Access, 2018
Cyber security in the context of big data is known to be a critical problem and presents a great challenge to the research community. Machine learning algorithms have been suggested as candidates for handling big data security problems.
Nasser R. Sabar, Xun Yi, Andy Song
doaj   +1 more source

SAGE: Structure‐Aware Generative Video Transitions between Diverse Clips

open access: yesComputer Graphics Forum, EarlyView.
Abstract Video transitions aim to synthesize intermediate frames between two clips, but naïve approaches such as linear blending introduce artifacts that limit professional use or break temporal coherence. Traditional techniques (cross‐fades, morphing, frame interpolation) and recent generative inbetweening methods can produce high‐quality plausible ...
Mia Kan, Yilin Liu, Niloy J. Mitra
wiley   +1 more source

Optimization of Adaptive Sliding Mode Controllers Using Customized Metaheuristics in DC-DC Buck-Boost Converters

open access: yesMathematics
Metaheuristics have become popular tools for solving complex optimization problems; however, the overwhelming number of tools and the fact that many are based on metaphors rather than mathematical foundations make it difficult to choose and apply them to
Daniel F. Zambrano-Gutierrez   +3 more
doaj   +1 more source

Hyperion – A Recursive Hyper-Heuristic Framework [PDF]

open access: yes, 2011
Hyper-heuristics are methodologies used to search the space of heuristics for solving computationally difficult problems. We describe an object-oriented domain analysis for hyper-heuristics that orthogonally decomposes the domain into generative policy components.
Jerry Swan, Ender Özcan, Graham Kendall
openaire   +1 more source

CLusterix: A Hybrid Visualization Model for Hierarchically Clustered Networks

open access: yesComputer Graphics Forum, EarlyView.
Abstract We introduce Clusterix, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. Clusterix offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links of the network.
Carla Binucci   +6 more
wiley   +1 more source

Reinforcement learning hyper-heuristics for optimisation [PDF]

open access: yes
Hyper-heuristics are search algorithms which operate on a set of heuristics with the goal of solving a wide range of optimisation problems. It has been observed that different heuristics perform differently between different optimisation problems.
Alanazi, Fawaz
core   +1 more source

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