Results 41 to 50 of about 151,418 (244)

On Cooperative Patrolling: Optimal Trajectories, Complexity Analysis, and Approximation Algorithms [PDF]

open access: yesIEEE Transactions on robotics, 2011
The subject of this paper is the patrolling of an environment with the aid of a team of autonomous agents. We consider both the design of open-loop trajectories with optimal properties and of distributed control laws converging to optimal trajectories ...
F. Pasqualetti, A. Franchi, F. Bullo
semanticscholar   +1 more source

On Coverage and Capacity for Disaster Area Wireless Networks Using Mobile Relays

open access: yesEURASIP Journal on Wireless Communications and Networking, 2009
Public safety organizations increasingly rely on wireless technology to provide effective communications during emergency and disaster response operations.
Wenxuan Guo, Xinming Huang
doaj   +2 more sources

A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2019
The learning of neural networks is becoming more and more important. Researchers have constructed dozens of learning algorithms, but it is still necessary to develop faster, more flexible, or more accurate learning algorithms.
Jankowski Norbert, Linowiecki Rafał
doaj   +1 more source

Calculating Kolmogorov complexity from the output frequency distributions of small Turing machines. [PDF]

open access: yesPLoS ONE, 2014
Drawing on various notions from theoretical computer science, we present a novel numerical approach, motivated by the notion of algorithmic probability, to the problem of approximating the Kolmogorov-Chaitin complexity of short strings.
Fernando Soler-Toscano   +3 more
doaj   +1 more source

Direct Aperture Optimization for Intensity Modulated Radiation Therapy: Two Calibrated Metaheuristics and Liver Cancer Case Study [PDF]

open access: yesInternational Journal of Industrial Engineering and Production Research, 2022
Integrated treatment planning for cancer patients has high importance in intensity modulated radiation therapy (IMRT). Direct aperture optimization (DAO) is one of the prominent approaches used in recent years to attain this goal.
Ali Fallahi   +2 more
doaj  

Computational complexity of swarm-based algorithms: a detailed analysis

open access: yesAIMS Mathematics
In recent years, swarm-based algorithms have been applied to numerous optimization problems. These algorithms use a set or population of solutions that are updated in an iterative process to obtain an approximate solution to the problem.
María-Luisa Pérez-Delgado   +1 more
doaj   +1 more source

Hybrid Deep Reinforcement Learning Considering Discrete-Continuous Action Spaces for Real-Time Energy Management in More Electric Aircraft

open access: yesEnergies, 2022
The increasing number and functional complexity of power electronics in more electric aircraft (MEA) power systems have led to a high degree of complexity in modelling and computation, making real-time energy management a formidable challenge, and the ...
Bing Liu   +4 more
doaj   +1 more source

An Adaptive Management Model for Brown Bears in Hokkaido: Based on Total Population and the Number of Nuisance Bears

open access: yesPopulation Ecology, EarlyView.
Bear management changes management actions according to the horizontal axis of the population size and the vertical axis of the number of nuisance bears. Aiming for the target population size of Ntar, Actions I and II protect the bears, and Action IV reduces the population.
Hiroyuki Matsuda   +5 more
wiley   +1 more source

Predictive Syndrome Based Low Complexity Joint Iterative Detection-Decoding Algorithm for Non-Binary LDPC Codes

open access: yesIEEE Access, 2021
This paper addresses the problem of decoding non-binary low density parity check codes(LDPC) over finite field $GF(q)$ using symbol flipping approach.
Waheed Ullah   +2 more
doaj   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

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