Results 51 to 60 of about 109,875 (264)

Localization and tracking of multiple quadrotors with collision avoidance: Theory and experiment

open access: yesDefence Technology
Multiple quadrotors target encirclement is widely used in the intelligent field, as it can effectively monitor and control target behavior. However, it faces the danger of collision, as well as difficulties in localization and tracking.
Guang Yang   +6 more
doaj   +1 more source

Simulation Study of Swarm Intelligence Based on Life Evolution Behavior

open access: yesDiscrete Dynamics in Nature and Society, 2015
Swarm intelligence (SI) is a new evolutionary computation technology, and its performance efficacy is usually affected by each individual behavior in the swarm.
Yanmin Liu   +5 more
doaj   +1 more source

Swarm intelligence and its applications in swarm robotics [PDF]

open access: yes, 2007
This work gives an overview of the broad field of computational swarm intelligence and its applications in swarm robotics. Computational swarm intelligence is modelled on the social behavior of animals and its principle application is as an optimization ...
Andina de la Fuente, Diego   +1 more
core  

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

open access: yesMolecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié   +13 more
wiley   +1 more source

Creative or Not? Birds and Ants Draw with Muscle [PDF]

open access: yes, 2011
In this work, a novel approach of merging two swarm intelligence algorithms is considered – one mimicking the behaviour of ants foraging (Stochastic Diffusion Search [5]) and the other algorithm simulating the behaviour of birds flocking (Particle Swarm ...
Aber, Ahmed   +2 more
core  

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

open access: yesMolecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg   +43 more
wiley   +1 more source

Modeling Firm Search and Innovation Trajectory Using Swarm Intelligence

open access: yesAlgorithms, 2023
We developed a swarm intelligence-based model to study firm search across innovation topics. Firm search modeling has primarily been “firm-centric,” emphasizing the firm’s own prior performance.
Ren-Raw Chen   +2 more
doaj   +1 more source

Swarm intelligence for scheduling: a review [PDF]

open access: yes, 2013
Swarm Intelligence generally refers to a problem-solving ability that emerges from the interaction of simple information-processing units. The concept of Swarm suggests multiplicity, distribution, stochasticity, randomness, and messiness.
Madureira, Ana Maria   +2 more
core  

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

open access: yesMolecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee   +8 more
wiley   +1 more source

A Swarm intelligence approach for biometrics verification and identification [PDF]

open access: yes, 2012
In this paper we investigate a swarm intelligence classification approach for both biometrics verification and identification problems. We model the problem by representing biometric templates as ants, grouped in colonies representing the clients of a
Pulina, Luca
core  

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