Search Results - (( java segmentation using algorithm ) OR ( basic generic functional algorithm ))
Search alternatives:
- generic functional »
- java segmentation »
- using algorithm »
- basic generic »
-
1
Automatic generic process migration system in linux
Published 2012“…A fexible interface to the underlying checkpoint/ restart subsystem is designed which permits users to specify the migration mechanism according to process constraints. A migration algorithm is designed which attempts to exploit the unique features of the basic migration algorithms to form a generic algorithm. …”
Get full text
Get full text
Thesis -
2
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
Get full text
Get full text
Get full text
Get full text
Thesis -
3
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
Get full text
Get full text
Get full text
Book -
4
Synthesis of Heat Exchangers Network (HEN) by Revisiting the Method Based on 2nd Law of Thermodynamics
Published 2009“…Formulation has been performed to obtain generic function equations for Cp, Hf, Sf, Hfg, Sfg. …”
Get full text
Get full text
Final Year Project -
5
Development of seven segment display recognition using TensorFlow on Raspberry Pi
Published 2022Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
6
Speech emotion verification system (SEVS) based on MFCC for real time applications
Published 2008“…Since features extracted using the MFCC simulates the function of the human cochlea, neural network (NN) and fuzzy neural network algorithm namely; Multi Layer Perceptron (MLP), Adaptive Network-based Fuzzy Inference System (ANFIS) and Generic Selforganizing Fuzzy Neural Network (GenSoFNN) were used to verify the different emotions. …”
Get full text
Get full text
Get full text
Proceeding Paper -
7
Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach
Published 2022“…The other one is the network training’s environment optimization that is done through hyperparameter optimization by selecting and fine-tuning high impact parameters which include Optimizer, Learning Rate and Dropout to reduce error rate (loss function). The strategies applied showed that the final accuracy obtained through the training after implementing a modification in the algorithm is at 81% accuracy rate compared to the basic model that recorded its final accuracy at 79% accuracy rate. …”
Get full text
Get full text
Get full text
Get full text
Thesis
