Results 41 to 50 of about 151,418 (244)
On Cooperative Patrolling: Optimal Trajectories, Complexity Analysis, and Approximation Algorithms [PDF]
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
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
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]
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]
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
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
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
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
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
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

