Search Results - (( vr application learning algorithm ) OR ( wave applications based algorithm ))*
Search alternatives:
- application learning »
- learning algorithm »
- applications based »
- wave applications »
- vr application »
-
1
Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…The reliability of VR supports various variations in learning, including learning programming algorithms. …”
Get full text
Get full text
Get full text
Article -
2
An algorithm for Elliott Waves pattern detection
Published 2018“…Based on this knowledge, an algorithm for detection of these patterns is designed, developed and tested. …”
Get full text
Get full text
Article -
3
An algorithm for Elliott Waves pattern detection
Published 2018“…Based on this knowledge, an algorithm for detection of these patterns is designed, developed and tested. …”
Get full text
Get full text
Article -
4
-
5
Market prices trend forecasting supported by Elliott Wave's theory
Published 2017“…The trend prediction is supported by application of recognized Elliot waves which was performed by custom developed algorithm based on available knowledge about the patterns. …”
Get full text
Get full text
Article -
6
Design and implementation of cordic algorithm with sinusoidal pulse width modulation switching strategy
Published 2017“…Coordinate Rotation, Digital Computer (CORDIC), known as Volders Algorithm based on its inventor, is an algorithm that is applied to perform trigonometric related computations. …”
Get full text
Get full text
Student Project -
7
-
8
A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets
Published 2022“…Secondly, we use a low-cost wearable EEG headset that is both compact and small, and can be attached to the scalp without any hindrance, allowing freedom of movement for participants to view their surroundings inside the immersive VR stimulus. Finally, we evaluate the emotion recognition system by using popular machine learning algorithms and compare them for both intra-subject and inter-subject classification. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
9
-
10
Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data
Published 2007Get full text
Get full text
Conference or Workshop Item -
11
Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
12
-
13
-
14
Eye fixation versus pupil diameter as eye- tracking features for virtual reality emotion classification
Published 2022“…The usage of eye-tracking technology is becoming increasingly popular in machine learning applications, particularly in the area of affective computing and emotion recognition. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
15
-
16
MSS-TCP: a congestion control algorithm for boosting TCP performance in mmwave cellular networks
Published 2025“…This paper proposes MSS-TCP, a novel congestion control algorithm designed for mmWave networks. MSS-TCP dynamically adjusts the congestion window (cwnd) based on the maximum segment size (MSS) and round-trip time (RTT), improving bandwidth utilization and congestion adaptability. …”
Get full text
Get full text
Get full text
Article -
17
-
18
Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors
Published 2010“…The image reconstruction algorithm was based on the gradient minimization of an augmented cost function defined as the difference between measured and calculated fields. …”
Get full text
Get full text
Thesis -
19
Cardiac abnormality prediction using tansig based multilayer perceptron
Published 2021“…In this study, ANN will be trained for pre-testing to predict the cardiac abnormalities symptom based on selected reference parameters. This reference parameter is better known as the input parameter to the ANN to detect cardiac abnormalities, among which are the of the height of peak/wave (amplitude) and time occurrence of peak/wave (duration of time) extracted from the electrocardiogram (ECG) signal. …”
Get full text
Get full text
Get full text
Article -
20
Analysis of Rectangular and Circular Wave Guide.
Published 2016Get full text
Get full text
Final Year Project / Dissertation / Thesis
