Search Results - (( data visualization using algorithm ) OR ( effective classification based algorithm ))
Search alternatives:
- effective classification »
- classification based »
- data visualization »
- using algorithm »
-
1
Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
Get full text
Get full text
Thesis -
2
Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The classification algorithm used in this research is the Convolutional Neural Network (CNN) algorithm. …”
Get full text
Get full text
Get full text
Get full text
Article -
3
Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…In the next phase, the datasets are optimized using the Salp Swarm Algorithm (SSA), which improves classification accuracy. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
4
An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding
Published 2020“…Classic bag of visual words algorithm is based on k-means clustering and every SIFT features belongs to one cluster and it leads to decreasing classification results. …”
Get full text
Get full text
Get full text
Article -
5
Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia
Published 2006“…Average filtering was applied to the PM10 map to mininise the noise effect. The proposed algorithms were also validated using the multidate data. …”
Get full text
Get full text
Thesis -
6
-
7
Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification
Published 2023“…Despite extensive research employing machine learning algorithms like convolutional neural networks (CNN), challenges remain concerning input data processing, emotion classification scope, data size, optimal CNN configurations, and performance evaluation. …”
Get full text
Get full text
Get full text
Get full text
Article -
8
-
9
-
10
Processing and classification of landsat and sentinel images for oil palm plantation detection
Published 2022“…It first focuses on the correction algorithm needed to estimate the true surface reflectance value of the satellite image data before the image is filtered to reduce any noise. …”
Get full text
Get full text
Get full text
Get full text
Article -
11
Urban landcover features identification utilizing multiband combinations and multi-level image segmentation for objectbased classification / Nurhanisah Hashim
Published 2018“…Using Worldview-2 multispectral satellite image as a primary data, together with ancillary data which include normalized Digital Surface Model (nDSM) derived from Light Detection and Ranging (LIDAR) data and indices layer, the image segmentation process utilizing multiresolution segmentation algorithm was conducted. …”
Get full text
Get full text
Thesis -
12
Internal defect detection and reconstruction framework for laminated glass fibre reinforced polymer composite materials
Published 2013“…(ii) Multiresolution signal decomposition technique is then applied to reduce the dimensionality of the data. (iii) The image ofthe defect region is reconstructed by using the attenuation of the reflected ultrasound signal (iv) Entropy-based fuzzy k-nearest neighbour classification method is used to extract the feature of the defects. …”
Get full text
Get full text
Thesis -
13
Predictive analytics for the sentiment of malaysian place of interest using machine learning models
Published 2023“…The focus of this study is to conduct Natural Language Processing (NLP) on tweets and make a better classification of sentiment using Malaya. Furthermore, this study also trains three machine learning algorithms to predict the sentiment of textual data. …”
Get full text
Get full text
Undergraduates Project Papers -
14
Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor
Published 2023“…The developed algorithms interpret raw IR-UWB radar sensor data and associate it with specific hand gestures, addressing the core objective of gesture recognition. …”
Get full text
Get full text
Get full text
Thesis -
15
Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning
Published 2023“…The primary aim is to quantify human behavior based on learning rates, thereby facilitating improved production control. …”
Get full text
Get full text
Get full text
Get full text
Article -
16
Assessment of near-infrared and mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm plantation
Published 2013“…Results confirmed the usefulness and efficiency of spectra-based classification approach for fast screening of BSR.…”
Get full text
Get full text
Thesis -
17
Mean of correlation method for optimization of affective states detection in children
Published 2018“…This paper proposes an effective algorithm of texture analysis based on novel technique using Gray Level Co-occurrence Matrix approach to be applied so as to identify blood-flow region. …”
Get full text
Get full text
Get full text
Get full text
Article -
18
-
19
Domestic garbage target detection based on improved YOLOv5 algorithm
Published 2023“…In order to reduce the intensity of manual garbage classification and improve the efficiency and accuracy of garbage classification, a new type of household garbage classification based on improved YOLOv5 algorithm visual recognition is designed. …”
Get full text
Get full text
Conference or Workshop Item -
20
Knowledge base processing method based on text classification algorithm
Published 2023“…The text classification algorithm's knowledge base processing method utilizes existing data from the knowledge base to guide the construction and training of the classification model. …”
Get full text
Get full text
Get full text
Conference or Workshop Item
