Results 251 to 260 of about 28,161 (297)

Buckling‐Driven Linearity in Flexible Capacitive Pressure Sensors Based on a Three‐Dimensional Dual‐Pore Polyurethane Structure

open access: yesAdvanced Materials Technologies, EarlyView.
A flexible pressure sensor utilizing a 3D dual‐pore polyurethane structure is developed to overcome the intrinsic trade‐off between sensitivity and linearity. By inducing sequential buckling through distinct pore sizes and shapes, the device achieves highly linear and sensitive responses across a wide pressure range.
Jae Yeong Jang, Jaemin Choi, Young Jung
wiley   +1 more source

Swarm intelligence in cybersecurity

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020
In recent years, computational intelligence methodologies in general and swarm intelligence in particular have become increasingly popular and attracted interest with a dramatic increase in the number of relevant publications. Swarm intelligence (SI) and bio-inspired computing, in general, have successfully adopted in many areas of science and ...
Ivan Zelinka, Roman Senkerik
openaire   +2 more sources

Swarm intelligence

Communications of the ACM, 2002
Following a trail of insects as they work together to accomplish a task offers unique possibilities for problem solving.
Peter Tarasewich, Patrick R. McMullen
openaire   +1 more source

Artificial Swarm Intelligence

2019
Swarm Intelligence (SI) is a natural phenomenon that enables social species to quickly converge on optimized group decisions by interacting as real-time closed-loop systems. This process, which has been shown to amplify the collective intelligence of biological groups, has been studied extensively in schools of fish, flocks of birds, and swarms of bees.
Louis B. Rosenberg, Gregg Willcox
openaire   +1 more source

Theory of Swarm Intelligence

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2011
Social animals as found in fish schools, bird flocks, bee hives, and ant colonies are able to solve highly complex problems in nature. This includes foraging for food, constructing astonishingly complex nests, and evading or defending against predators. Remarkably, these animals in many cases use very simple, decentralized communication mechanisms that
openaire   +1 more source

Swarm intelligence and robotics

Industrial Robot: An International Journal, 2008
PurposeThe aim of this paper is to provide a review of recent developments in the application of swarm intelligence to robotics.Design/methodology/approachThis paper initially considers swarm intelligence and then discusses its application to robotics through reference to a number of recent research programmes.FindingsBased on the principles of swarm ...
openaire   +1 more source

An Intelligent Swarm of Markovian Agents

2015
We define a Markovian agent model (MAM ) as an analytical model formed by a spatial collection of interacting Markovian agents (MA s), whose properties and behavior can be evaluated by numerical techniques. MAMs have been introduced with the aim of providing a flexible and scalable framework for distributed systems of interacting objects, where both ...
BRUNEO, Dario   +4 more
openaire   +3 more sources

Swarm intelligence.

The Journal of the American College of Dentists, 2011
The standard view of how things work is that an outside force impacts a group of individuals and causes outcomes they are interested in. The outside force may not affect all individuals to the same extent, but we can summarize the effect by taking the average.
  +5 more sources

From Swarm Intelligence to Swarm Robotics

2005
The term “swarm” has been applied to many systems (in biology, engineering, computation, etc.) as they have some of the qualities that the English-language term “swarm” denotes. With the growth of the various area of “swarm” research, the “swarm” terminology has become somewhat confusing.
openaire   +1 more source

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