AIMC Topic: Artificial Intelligence

Clear Filters Showing 19411 to 19420 of 26332 articles

An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients.

Kidney international
Managing anemia in hemodialysis patients can be challenging because of competing therapeutic targets and individual variability. Because therapy recommendations provided by a decision support system can benefit both patients and doctors, we evaluated...

An Application of Self-Organizing Map for Multirobot Multigoal Path Planning with Minmax Objective.

Computational intelligence and neuroscience
In this paper, Self-Organizing Map (SOM) for the Multiple Traveling Salesman Problem (MTSP) with minmax objective is applied to the robotic problem of multigoal path planning in the polygonal domain. The main difficulty of such SOM deployment is dete...

An Artificial Intelligence System to Predict Quality of Service in Banking Organizations.

Computational intelligence and neuroscience
Quality of service, that is, the waiting time that customers must endure in order to receive a service, is a critical performance aspect in private and public service organizations. Providing good service quality is particularly important in highly c...

Representing higher-order dependencies in networks.

Science advances
To ensure the correctness of network analysis methods, the network (as the input) has to be a sufficiently accurate representation of the underlying data. However, when representing sequential data from complex systems, such as global shipping traffi...

A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems.

Computational intelligence and neuroscience
A Guiding Evolutionary Algorithm (GEA) with greedy strategy for global optimization problems is proposed. Inspired by Particle Swarm Optimization, the Genetic Algorithm, and the Bat Algorithm, the GEA was designed to retain some advantages of each me...

A New Modified Artificial Bee Colony Algorithm with Exponential Function Adaptive Steps.

Computational intelligence and neuroscience
As one of the most recent popular swarm intelligence techniques, artificial bee colony algorithm is poor at exploitation and has some defects such as slow search speed, poor population diversity, the stagnation in the working process, and being trapp...

Artificial Intelligence Procedures for Tree Taper Estimation within a Complex Vegetation Mosaic in Brazil.

PloS one
Tree stem form in native tropical forests is very irregular, posing a challenge to establishing taper equations that can accurately predict the diameter at any height along the stem and subsequently merchantable volume. Artificial intelligence approa...

Transformation of Arden Syntax's medical logic modules into ArdenML for a business rules management system.

Artificial intelligence in medicine
INTRODUCTION: Arden Syntax is a Health Level Seven International (HL7) standard language that is used for representing medical knowledge as logic statements. Arden Syntax Markup Language (ArdenML) is a new representation of Arden Syntax based on XML....

Robotic action acquisition with cognitive biases in coarse-grained state space.

Bio Systems
Some of the authors have previously proposed a cognitively inspired reinforcement learning architecture (LS-Q) that mimics cognitive biases in humans. LS-Q adaptively learns under uniform, coarse-grained state division and performs well without param...

Can cyclist safety be improved with intelligent transport systems?

Accident; analysis and prevention
In recent years, Intelligent Transport Systems (ITS) have assisted in the decrease of road traffic fatalities, particularly amongst passenger car occupants. Vulnerable Road Users (VRUs) such as pedestrians, cyclists, moped riders and motorcyclists, h...