Nowadays, the most widely spread type of a computer is an embedded system. The embedded systems consist of the following hardware (i.e. nano-electronic components) – programmable microcontrollers or microprocessors; transmitters, including the receivers of global positioning information systems, which demonstrate the state and measuring parameters of a controlled object, and which relay that to the programmable microcontroller; actuators, which receive a signal from the programmed microcontroller and relay it to an antenna, a display or an electro-drive device; and communication devices, including wireless communication with other devices and the software with algorithms of artificial intelligence
An optimization method of set of features under information-extreme intellectual technology based on...
Going beyond the traditional field of robotics to include other mobile vehicles, Mobile Intelligent ...
Abstract. Evolutionary robotics | as other adaptive methods, such as reinforcement learning and lear...
[[abstract]]The embedded system is primarily designed for a particular piece of equipment and it var...
Abstract. Achieving information superiority often depends on design-ing, developing, and implementin...
The paper considers the intelligent electronic embedded systems for the protection of railway transp...
Addressing current issues of which any engineer or computer scientist should be aware, this monograp...
Programmable devices combine powerful processing systems with a rich infrastructure of general-purpo...
Evolvable Hardware is a technique derived from evolutionary computation applied to a hardware design...
Evolutionary algorithms (EA) are a computation tool that utilizes biological principles found in th...
Evolvable Hardware (EHW) refers to HW design and self-reconfiguration using evolutionary/genetic mec...
Genetic algorithms are mostly considered to represent the primary class of evolutionary methods that...
Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day ...
Intelligent system is an advanced machine that can perceive, learn, and solve the problems with a gr...
This research provides a comparison of three types of robotic controllers and their suitability in e...
An optimization method of set of features under information-extreme intellectual technology based on...
Going beyond the traditional field of robotics to include other mobile vehicles, Mobile Intelligent ...
Abstract. Evolutionary robotics | as other adaptive methods, such as reinforcement learning and lear...
[[abstract]]The embedded system is primarily designed for a particular piece of equipment and it var...
Abstract. Achieving information superiority often depends on design-ing, developing, and implementin...
The paper considers the intelligent electronic embedded systems for the protection of railway transp...
Addressing current issues of which any engineer or computer scientist should be aware, this monograp...
Programmable devices combine powerful processing systems with a rich infrastructure of general-purpo...
Evolvable Hardware is a technique derived from evolutionary computation applied to a hardware design...
Evolutionary algorithms (EA) are a computation tool that utilizes biological principles found in th...
Evolvable Hardware (EHW) refers to HW design and self-reconfiguration using evolutionary/genetic mec...
Genetic algorithms are mostly considered to represent the primary class of evolutionary methods that...
Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day ...
Intelligent system is an advanced machine that can perceive, learn, and solve the problems with a gr...
This research provides a comparison of three types of robotic controllers and their suitability in e...
An optimization method of set of features under information-extreme intellectual technology based on...
Going beyond the traditional field of robotics to include other mobile vehicles, Mobile Intelligent ...
Abstract. Evolutionary robotics | as other adaptive methods, such as reinforcement learning and lear...
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