Search Results - (( developing neural visualization algorithm ) OR ( java implication tree algorithm ))

Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul by Tom´As, Maul

“…Following this, at the formational level, various local mechanisms are investigated in the context of the biological development of the proposed neural architectures. It is shown that simple local rules, together with visual experience, such as that provided by dynamic images, are sufficient for the development of the neural architectures. …”
Get full text
Get full text

Musical instrument identification using Convolutional Neural Network (CNN) algorithm / Muhammad Nur Azri Irfan Abdul Rahman by Abdul Rahman, Muhammad Nur Azri Irfan

“…This approach tried to overcome the limitations of the manual method and traditional algorithm, which tends to fail with the diverse dataset, diverse visual features, and scalability. …”
Get full text
Get full text

Distracted driver detection with deep convolution neural networks by Basubeit, Omar Gumaan Saleh

“…This project aims to develop a python algorithm to detect the distracted activities while driving. …”

The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment by Nanna Suryana, Herman

Get full text
Get full text

Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe by Kennie Yeoh , Eng Hoe

“…Alternatively, patch-matching algorithm was developed in success of the Fourier Transform method when results -were not favorable to it. …”
Get full text
Get full text

BMI using spectral energy entropy for colour visual tasks by Divakar, Purushothaman, Paulraj, Murugesa Pandiyan, Prof. Madya Dr., Abdul Hamid, Adom, Dr., Hema, Chengalvarayan Radhakrishnamurthy

Get full text

Visual Crowd Counting System Using Deep Learning by Mohd Wafi Nazrul Adam, Mohd Ridhwan Oxley Adam

“…This project is about developing a visual crowd counting system using deep learning. …”
Get full text
Get full text

Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques by Ahmed Sabit, Hakilo

“…A neural network based flow regime identifier program is developed in Matlab environment. …”
Get full text
Get full text

Image quality assessment using Elman neural network model by Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., Palaniappan, Rajkumar, Mohd Shuhanaz, Zanar Azalan

Get full text

Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network by Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.

Get full text
Get full text

Data mining based damage identification using imperialist competitive algorithm and artificial neural network by Gordan, Meisam, Razak, Hashim Abdul, Ismail, Zubaidah, Ghaedi, Khaled

“…In this study, to predict the damage severity of sin-gle-point damage scenarios of I-beam structures a data mining based damage identification framework and a hybrid algorithm combining Artificial Neural Network (ANN) and Imperial Competitive Algorithm (ICA), called ICA-ANN method, is proposed. …”
Get full text
Get full text

Moving detection using cellular neural network (CNN) by Prema Latha, Subramaniam

“…The algorithm created is used to detect the ball in the images. …”
Get full text
Get full text

Color recognition wearable device using machine learning for visually impaired person by Bolad, Tarek Mohamed, Nik Hashim, Nik Nur Wahidah, Mohamad Hanif, Noor Hazrin Hany

“…The user can also hear the name of the color along with ‘feeling’ the vibration. Two algorithms were used to distinguish between colors; RGB to HSV color conversion in comparison with neural network and decision tree based machine learning algorithms. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution by Salih Al-Badri, Qussay Abbas

“…The mutual information algorithms used in this work has been developed and experimented in the system and has proven to yield more accurate and stable results than other algorithms. …”
Get full text
Get full text

Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar by Azahar, Nur Adriana Qaisara

“…This study presents a fish detection system that uses Convolutional Neural Networks (CNNs) and advanced image processing techniques, with a flexible research approach directing the iterative development process. …”
Get full text
Get full text

Extraction of Inherent Frequency Components of Multiway EEG Data Using Two-Stage Neural Canonical Correlation Analysis by W Omar Ali Saifuddin, Wan Ismail, A. N. M. Enamul, Kabir

“…An algorithm is developed using two-stage cascaded architecture of canonical correlation analysis with neural network named multiway neural canonical correlation analysis (MNCCA) to address three major challenges for extracting frequency components from EEG data, such as: (a) It processes multiway data which are feed sequentially into neural network, rather than feeding whole data at a time, (b) It uses the conventional personal computer instead of special computer built for such application, (c) It spends very short time for a moderate data set consisting of several ways (time, trials and channels). …”
Get full text
Get full text
Get full text

Micro-defects detection on metal screw surfaces based on algorithm of faster region convolutional neural network over internet of things / Nur Aainaa Zainal by Zainal, Nur Aainaa

Get full text
Get full text

EEG classification using radial basis PSO neural network for brain machine interfaces by Paulraj, Murugesapandian, Hema, Chengalvarayan Radhakrishnamurthy, Ramachandran, Nagarajan, Sazali, Yaacob, Abdul Hamid, Adom

Get full text

Enhancement of medical image compression algorithm in noisy WLANS transmission by Algaet, Mustafa Almahdi

“…Advances in telemedicine technology enable rapid medical diagnoses with visualization and quantitative assessment by medical practitioners.In healthcare and hospital networks,medical data exchange-based wireless local area network (WLAN) transceivers remain challenging because of their growing data size,real-time contact with compressed images,and range of bandwidths requiring transmission support.Prior to transmission,medical data are compressed to minimize transmission bandwidth and save transmitting power.Researchers address many challenges in improving performance of compression approaches.Such challenges include energy compaction, computational complexity,high entropy value,drive low compression ratio (CR) and high computational complexity in real-time implementation.Thus,a new approach called Enhanced Independent Component Analysis (EICA) for medical image compression has been developed to boost compression techniques;which transform the image data by block-based Independent Component Analysis (ICA).The proposed method uses Fast Independent Component Analysis (FastICA) algorithm followed by developed quantization architecture based zero quantized coefficients percentage (ZQCP) prediction model using artificial neural network. …”
Get full text
Get full text
Get full text

Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process by Kong, Hong Shim

“…A neural-fuzzy model has been developed to represent machinability data selection in turning process. …”
Get full text
Get full text