Search Results - (( its applications learning algorithm ) OR ( web application sensor algorithm ))*
Search alternatives:
- applications learning »
- learning algorithm »
- application sensor »
- its applications »
- sensor algorithm »
- web application »
-
1
-
2
Human health status IoT device using data optimization algorithm / Albin Lemuel Kushan ... [et al.]
Published 2021“…This project aims to produce a device that can be used to identify the current health status of a person using sensor and a data optimization algorithm. Furthermore, this project uses CT-UNO (Arduino Uno) microcontroller as its base together with the LM-35 Body Temperature sensor and the Pulse Sensor for reading heart rate, and a web system to manage the data collected. …”
Get full text
Get full text
Book Section -
3
Analysis on the Effect of Sensor Views in Image Reconstruction Produced by Optical Tomography System Using Charge-Coupled Device
Published 2024journal::journal article -
4
-
5
-
6
Charge-coupled device based on optical tomography system for monitoring two-phase flow
Published 2024Article -
7
Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network
Published 2010Subjects: Get full text
Working Paper -
8
A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…Radial Basis Function (RBF) has been widely used in different fields, due to its fast learning and interpretability of its solution. …”
Get full text
Get full text
Get full text
Proceeding Paper -
9
SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA
Published 2012“…This thesis gives a systematic investigation of various MLP learning mainly Sliding Window (SW) learning mode which is treated as the adaptation of offline algorithms into online application Consequently this thesis reviews various offline algorithms including: batch backpropagation, nonlinear conjugate gradient, limited memory and full-memory Broyden, Fletcher, Goldfarb and Shanno algorithms and different forms of the latest proposed bimary ensemble learning. …”
Get full text
Get full text
Thesis -
10
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…Two main improvements were included into the original SSA algorithm to alleviate its drawbacks and adapt it for feature selection problems. …”
Get full text
Get full text
Article -
11
-
12
Internet of things (IoT) based grid tension monitoring system
Published 2022“…The project method relies on the transfer of data from the sensor module to the microcontroller, where it is recorded and displayed on a website and mobile application that users may access to monitor sensor readings. …”
Get full text
Get full text
Undergraduates Project Papers -
13
-
14
Ensemble dual recursive learning algorithms for identifying flow with leakage
Published 2010Get full text
Get full text
Conference or Workshop Item -
15
Partitioning detection and connectivity restoration algorithm for WSAN
Published 2010Get full text
Get full text
Get full text
Conference or Workshop Item -
16
Augmented reality monitoring system for cross-belt conveyor in advanced automation line / Sukarnur Che Abdullah ... [et al.]
Published 2025“…Data transmission was orchestrated via a Python script, sensor_app.py’ which communicated the data to a dedicated web interface. …”
Get full text
Get full text
Get full text
Article -
17
Active force control with iterative learning control algorithm for a vehicle suspension
Published 2013“…The research focuses on the application of an active force control (AFC) strategy with iterative learning control (ILC) algorithms to compensate for the various introduced road profiles or 'disturbances' in a quarter car suspension system as an improvement to ride comfort performance. …”
Get full text
Get full text
Thesis -
18
Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
Published 2007“…The essence of this study is to investigate the most efficient and effective training methods for use in image compression and its subsequent applications. The obtained results show that the Quasi-Newton based algorithm has better performance as compared to the other two algorithms.…”
Get full text
Get full text
Get full text
Article -
19
-
20
Machine learning: tasks, modern day applications and challenges
Published 2019“…Machine learning algorithms learned from available data. Further, this learning laid the foundation to develop AI for the various systems around us. …”
Get full text
Get full text
Get full text
Article
