Results 41 to 50 of about 616,005 (189)

Parallel symbolic state-space exploration is difficult, but what is the alternative?

open access: yes, 2009
State-space exploration is an essential step in many modeling and analysis problems. Its goal is to find the states reachable from the initial state of a discrete-state model described.
A. Valmari   +51 more
core   +2 more sources

Domain Generalization by Marginal Transfer Learning

open access: yes, 2020
In the problem of domain generalization (DG), there are labeled training data sets from several related prediction problems, and the goal is to make accurate predictions on future unlabeled data sets that are not known to the learner. This problem arises
Blanchard, Gilles   +4 more
core   +2 more sources

Domain multiplexed computer-generated holography by embedded wavevector filtering algorithm [PDF]

open access: yesPhotoniX, 2020
Abstract Computer-generated holography can obtain the wavefront required for constructing arbitrary intensity distributions in space. Currently, speckle noises in holography remain an issue for most computational methods. In addition, there lacks a multiplexing technology by which images from a single hologram and light source can be ...
Lin Wu, Ziyang Zhang
openaire   +1 more source

A reconfigurable hybrid intelligent system for robot navigation [PDF]

open access: yes, 2011
Soft computing has come of age to o er us a wide array of powerful and e cient algorithms that independently matured and in uenced our approach to solving problems in robotics, search and optimisation.
Barczak, A.L.C.   +3 more
core  

Fast Spherical Centroidal Voronoi Mesh Generation: A Lloyd-preconditioned LBFGS Method in Parallel

open access: yes, 2018
Centroidal Voronoi tessellation (CVT)-based mesh generation is a very effective technique for creating high-quality Voronoi meshes and their dual Delaunay triangulations that often play a crucial role in applications, including ocean and atmospheric ...
Gunzburger, Max   +2 more
core   +1 more source

PKDGA: A Partial Knowledge-Based Domain Generation Algorithm for Botnets

open access: yesIEEE Transactions on Information Forensics and Security, 2023
Domain generation algorithms (DGAs) can be categorized into three types: zero-knowledge, partial-knowledge, and full-knowledge. While prior research merely focused on zero-knowledge and full-knowledge types, we characterize their anti-detection ability and practicality and find that zero-knowledge DGAs present low anti-detection ability against ...
Lihai Nie   +3 more
openaire   +2 more sources

Research on Polyphonic Music Generation Algorithm Based on GPT Large Model

open access: yesIEEE Access
Along with the rapid technological progress in the field of artificial intelligence, music generation algorithms based on large-scale pre-trained models have increasingly become the focus of academic attention.
Lin Zhu, Wenjuan Zhang
doaj   +1 more source

Algebraic Dynamic Programming on Trees

open access: yesAlgorithms, 2017
Where string grammars describe how to generate and parse strings, tree grammars describe how to generate and parse trees. We show how to extend generalized algebraic dynamic programming to tree grammars.
Sarah J. Berkemer   +2 more
doaj   +1 more source

A Wasserstein generative adversarial network with gradient penalty for active sonar signal reverberation suppression

open access: yesFrontiers in Marine Science, 2023
Reverberation is the primary background interference of active sonar systems in shallow water environments, affecting target position detection accuracy.
Zhen Wang   +6 more
doaj   +1 more source

Syn2Real Detection in the Sky: Generation and Adaptation of Synthetic Aerial Ship Images

open access: yesApplied Sciences
Object detection in computer vision requires a sufficient amount of training data to produce an accurate and general model. However, aerial images are difficult to acquire, so the collection of aerial image datasets is a priority issue.
Yaoyuan Wu   +6 more
doaj   +1 more source

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