Search Results - (( data collection methods algorithm ) OR ( data visualization based algorithm ))

Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization by Hussain Mohammad Yousef Abu Dalbouh

Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

“…Methods for improving supervised and unsupervised classification of remotely sensed data were developed in this study. …”
Get full text
Get full text

Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

“…The database model is based on the collection and storage of a large quantity of data from laboratory experiments and workshop experience, which can then simply retrieve recommended cutting speeds and feed. …”
Get full text
Get full text

Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin by Nordin, Daarin Nadia

“…Data cleaning and data transformation is first carried out, followed by normalization through the Z-score method before being processed in the clustering model. …”
Get full text
Get full text

EEG-based brain source localization using visual stimuli by Jatoi, M.A., Kamel, N., Malik, A.S., Faye, I., Bornot, J.M., Begum, T.

“…In this research study, EEG data is collected by providing visual stimulus to healthy subjects. …”
Get full text
Get full text

Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data by Mohd Rahim, Mohd Shafry

“…The data were collected by capturing images from time to time. …”
Get full text
Get full text

Determining number of clusters using firefly algorithm with cluster merging for text clustering by Mohammed, Athraa Jasim, Yusof, Yuhanis, Husni, Husniza

“…Such a scenario requires a dynamic text clustering method that operates without initial knowledge on a data collection.In this paper, a dynamic text clustering that utilizes Firefly algorithm is introduced.The proposed, aFAmerge, clustering algorithm automatically groups text documents into the appropriate number of clusters based on the behavior of firefly and cluster merging process. …”
Get full text
Get full text

Subspace Techniques for Brain Signal Enhancement by Kamel , Nidal, Yusoff, Mohd Zuki

“…Next, the validity and the effectiveness of the algorithms to detect the P100's (used in objective assessment of visual pathways) are evaluated using real patient data collected from a hospital. …”
Get full text
Get full text

Virtual reality in algorithm programming course: practicality and implications for college students by Dewi, Ika Parma, Ambiyar, Mursyida, Lativa, Effendi, Hansi, Giatman, Muhammad, Efrizon, Hanafi, Hafizul Fahri, Ali, Siti Khadijah

“…Meanwhile, the effectiveness test shows that this VR product can improve learning outcomes better than traditional learning methods. Overall, the VR products developed have proven to be practical and effective in learning programming algorithms. …”
Get full text
Get full text
Get full text

Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images by Khan, A., Ali, S.S.A., Anwer, A., Adil, S.H., Meriaudeau, F.

“…The enhanced colours in the imaging data helps in corrosion estimation process. The image restoration and enhancement algorithm are tested on both experimentally collected as well as publicly available hazy underwater images. …”
Get full text
Get full text

Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images by Khan, A., Ali, S.S.A., Anwer, A., Adil, S.H., Meriaudeau, F.

“…The enhanced colours in the imaging data helps in corrosion estimation process. The image restoration and enhancement algorithm are tested on both experimentally collected as well as publicly available hazy underwater images. …”
Get full text
Get full text

Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh by Sai , Chong Yeh

“…The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
Get full text
Get full text
Get full text

Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

“…The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
Get full text
Get full text
Get full text
Get full text

Low-light image analysis and contrast enhancement using gaussian process / Loh Yuen Peng by Loh , Yuen Peng

“…The second contribution is an in-depth analysis of the collected data, specifically, by studying the global and local pixel intensities, followed by the performance and visualizations of hand-crafted and learned features. …”
Get full text
Get full text

Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins by Sidek L.M., Basri H., Marufuzzaman M., Deros A.M., Osman S., Hassan F.A.

“…Additionally, to predict the flood depth, a trained Decision Tree (DT)-based sorting algorithm is used in this method. This DT-based model takes 4 random rainfall data to train and predict the flood depth of the study area…”

The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman by Abdul Rahman, Hayati

“…The software used for this prototype is Visual Basic 6.0. More over, the information retrieval makes the retrieval of document or collection of data in the storage media more efficient, effective, relevant, faster and more reliable than before. …”
Get full text
Get full text

The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman by Abd Rahman, Hayati

“…The software used for this prototype is Visual Basic6.0. More over, the information retrieval makes the retrieval of document or collection of data in the storage media more efficient, effective, relevant, faster and more reliable than before. …”
Get full text
Get full text

A Hybrid Artificial Intelligence Model for Detecting Keratoconus by Alyasseri Z.A.A., Al-Timemy A.H., Abasi A.K., Lavric A., Mohammed H.J., Takahashi H., Milhomens Filho J.A., Campos M., Hazarbassanov R.M., Yousefi S.

“…Several machine learning models have been proposed to detect KCN, however most of the models are supervised and thus require large well-annotated data. This paper proposes a new unsupervised model to detect KCN, based on adapted flower pollination algorithm (FPA) and the k-means algorithm. …”

Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri by Pedram , Tabatabaeemoshiri

“…The proposed methodology involves collecting wafer inspection data, extracting relevant features, and applying the GSSL algorithm to identify the hidden defects. …”
Get full text
Get full text
Get full text

Design and development of intelligent 3d model recognition and inspection system in die stamping industry by Suryana, Nanna, Widodo, Wahyono Sapto, Hussin, Burairah, Mohd. Yusoh, Zeratul Izzah, Akbar, Habibullah

“…This results shows that the appearance-based method is very promising for 3D recognition purpose in automated visual inspection. …”
Get full text
Get full text
Get full text
Get full text