Results 71 to 80 of about 21,443 (267)
International Journal of Advanced Robotic Systems, 2019 Robots are coming to help us in different harsh environments such as deep sea or coal mine. Waste landfill is the place like these with casualty risk, gas poisoning, and explosion hazards.
Peng Chen +4 more
doaj +1 more source
AI‐Driven Mapping of Seizure Spread Patterns
Annals of Neurology, EarlyView.Objective The focus of epilepsy research has largely been on seizure onset; however, physicians typically examine the patterns of seizure spread past seizure onset as well. This study aims to align automated seizure analysis with clinical practice, leverage deep learning to standardize seizure annotations that varies among physicians, and understand ...
Andrew Y. Revell +13 more
wiley +1 more source
Automatic Programming with Ant Colony Optimization [PDF]
, 2004 Automatic programming is the use of search techniques to find programs that solve a problem. The most commonly explored automatic programming technique is genetic programming, which uses genetic algorithms to carry out the search.
Green, Jennifer +2 more
core
A Hybrid Ant Colony and Cuckoo Search Algorithm for Route Optimization of Heating Engineering
Energies, 2018 The development of remote sensing and intelligent algorithms create an opportunity to include ad hoc technology in the heating route design area. In this paper, classification maps and heating route planning regulations are introduced to create the ...
Yang Zhang +6 more
doaj +1 more source
Animal Research and One Health, EarlyView.This study aimed to investigate the potential of a mannan‐rich fraction (MRF) as a dietary intervention to alleviate weaning stress in piglets. Our results revealed that MRF could alleviate weaning stress by modulating the gut microbiota and the TLR5/NF‐κB signaling pathway, offering a novel and sustainable alternative to antibiotic use in swine ...
Yutong Lu +8 more
wiley +1 more source
A new sequential covering strategy for inducing classification rules with ant colony algorithms [PDF]
, 2012 Ant colony optimization (ACO) algorithms have been successfully applied to discover a list of classification rules. In general, these algorithms follow a sequential covering strategy, where a single rule is discovered at each iteration of the algorithm ...
Otero, Fernando E. B. +3 more
core +1 more source
Research of the Path Planning of Mobile Robot based on Improved Ant Colony Algorithm
Jixie chuandong, 2016 The traditional ant colony algorithm in the process of mobile robot path planning,the algorithm is easy to fall into the local optimization problem when the convergence of the algorithm.
Yu Yong
doaj
Ecology and evolution of pyrazines in insects
Biological Reviews, EarlyView.ABSTRACT Chemical communication is the oldest and most widespread form of signalling among and within organisms. Among the many compounds involved in such communication, pyrazines – nitrogen‐containing heterocyclic molecules – are especially intriguing due to their widespread occurrence across the tree of life, from bacteria and fungi to insects and ...
Zowi Oudendijk +2 more
wiley +1 more source
Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. [PDF]
, 2013 The cAnt-Miner algorithm is an Ant Colony Optimization (ACO) based technique for classification rule discovery in problem domains which include continuous attributes. In this paper, we propose several extensions to cAnt- Miner.
Otero, Fernando E.B. +3 more
core +1 more source
, 2012 NEGLI ULTIMI ANNI SONO STATE INTRODOTTE NUOVE METODOLOGIE PER L’OTTIMIZZAZIONE DI DETERMINATI TIPI DI PROBLEMI: OSSERVANDO E STUDIANDO MECCANISMI NATURALI È STATO POSSIBILE SVILUPPARE NUOVI ALGORITMI ADATTANDOLI POI A SITUAZIONI COMPLETAMENTE DIVERSE RISPETTO A QUELLE OSSERVATE IN NATURA.
Santino Madia +4 more
openaire +3 more sources