Collaborative classification applications in sensor networks
C Meesookho, S Narayanan… - Sensor Array and …, 2002 - ieeexplore.ieee.org
Distributed sensor networks are a significant technology nowadays. Inexpensive, smart
devices with multiple sensors provide opportunities for instrumenting, monitoring and …
devices with multiple sensors provide opportunities for instrumenting, monitoring and …
The mobile application development based on online music library for socializing in the world of bard songs and scouts' bonfires
B Rusyn, L Pohreliuk, A Rzheuskyi, R Kubik… - … on Computer Science …, 2019 - Springer
The aim of the current work is to create a mobile application that helps bard singers and
guitar players sing the same songs and play the same chords. The development of this …
guitar players sing the same songs and play the same chords. The development of this …
[PDF][PDF] Heterogeneous Data with Agreed Content Aggregation System Development.
A web-based service for the automation of contextual advertising management in Google
AdWords system are developed. An analysis of the Internet advertising market, the vector of …
AdWords system are developed. An analysis of the Internet advertising market, the vector of …
Sensor errors prediction using neural networks
The features of neural networks used for increasing the accuracy of physical quantity
measurement are considered by prediction of sensor drift. The technique of data volume …
measurement are considered by prediction of sensor drift. The technique of data volume …
The architecture of distant competencies analyzing system for it recruitment
A Rzheuskyi, O Kutyuk, V Vysotska… - 2019 IEEE 14th …, 2019 - ieeexplore.ieee.org
The methods for evaluating distant the featured character based on one of the methods of
machine learning and supervised learning algorithm for linear regression are developed …
machine learning and supervised learning algorithm for linear regression are developed …
[PDF][PDF] Development of Intelligent System for Visual Passenger Flows Simulation of Public Transport in Smart City Based on Neural Network.
Existing intelligent systems in passenger transportation are investigated, where the critical
task is to evaluate passenger flows. Possibilities, accessibility, principles and principles of …
task is to evaluate passenger flows. Possibilities, accessibility, principles and principles of …
Intelligent nodes for distributed sensor network
Neural networks models and their training algorithms on a central computer with reference
to a previously developed distributed sensor network are considered. The requirements for …
to a previously developed distributed sensor network are considered. The requirements for …
Development of a dynamically reprogrammable NCAP [network capable application processor]
A dynamically reprogrammable network capable application processor (NCAP) that is based
on the IEEE 1451 standard is proposed in this paper. The dynamic reprogramming …
on the IEEE 1451 standard is proposed in this paper. The dynamic reprogramming …
[PDF][PDF] Training neural network method modification for forward error propagation based on adaptive components
The work is devoted to the development of a training algorithm for forward propagation
neural networks, based on the backpropagation algorithm, through the use of adaptive …
neural networks, based on the backpropagation algorithm, through the use of adaptive …
Error compensation in an intelligent sensing instrumentation system
Methods of improving the measurement accuracy by estimation and correction of the
maximum error components, are analyzed. The functional structure of the measurement …
maximum error components, are analyzed. The functional structure of the measurement …