ridm@nrct.go.th   ระบบคลังข้อมูลงานวิจัยไทย   รายการโปรดที่คุณเลือกไว้

Verma, Brijesh
หน่วยงาน Central Queensland University, Australia
- Verma, Brijesh.
# นักวิจัย ร่วมงาน
1 Centre for Intelligent and Networked Systems (CINS) 21
2 McLeod, Peter. 9
3 Lee, Hong. 9
4 Blumenstein, Michael. 8
5 Rahman, Ashfaqur. 8
6 Zhang, Ping. 8
7 Panchal, Rinku. 7
8 Fan, Xiaolong. 6
9 Zakos, John. 6
10 Zajaczkowski, Juliusz M. 5
11 Rahman, Ashfaqur 5
12 Kumar, Kuldeep. 5
13 Ghosh, Moumita. 4
14 Li, Michael M. 3
15 Hassan, Syed Zahid. 3
16 Ghosh, Ranadhir. 3
17 Li, Xue. 3
18 Mc Leod, Peter 3
19 Chiu, Chien-Yuan. 3
20 Lee, Hong 3
21 Stockwell, David 3
22 Kulkarni, Siddhivinayak. 3
23 Hassan, Zahid. 2
24 Kumar, K. 2
25 Liu, Xin Yu. 2
26 Park, Minyeop. 2
27 He, Wade. 2
28 Muthukkumarasamy, Vallipuram. 2
29 Klevansky, Alan. 2
30 Panchal, R. M. 2
31 Tickle, Kevin. 2
32 Selvaraj, Henry. 2
33 Chowdhury, Sujan 2
34 McLeod, Peter 2
35 Yao, Xin, 2
36 Li, Michael 2
37 Kinattukara, Tejy. 2
39 Kinattukara, Tejy 1
40 Zhang, Mengjie 1
41 Guo, William 1
42 Chowdhury, Sujan Hasan 1
43 Faculty of Arts, Business, Informatics and Education 1
44 Li, Michael. 1
45 He, Changming. 1
46 Basli, H. 1
47 Kulkarni, S. 1
48 Maeder, Anthony 1
49 Goyal, Anshul. 1
50 Balsys, Ronald J. 1
51 O'Connor, D. J. (D. John), 1952- 1
52 Bray, Justin. 1
53 Guo, Wanwu. 1
54 Ling, S. 1
55 Lu, Jenny. 1
56 Koh, T. C. 1
57 Yu, K. 1
58 Ng, C. W. 1
59 Dong, Z. Y. 1
60 Faculty of Business and Informatics. 1
61 Tao, Yu. 1
62 Carvalho, Andre de. 1
63 Stockwell, David. 1
64 O'Connor, John. 1
65 Jiao, Li-cheng 1
66 Kulkarni, Siddhi. 1
67 Ghassem Pour, Shima 1
# พ.ศ. จำนวน
1 2557 6
2 2556 12
3 2555 10
4 2554 8
5 2553 8
6 2552 11
7 2551 10
8 2550 8
9 2549 11
10 2548 9
11 2547 10
12 2546 12
# หัวเรื่อง
ปี พ.ศ. 2557
1 A novel hybrid learning technique for roadside vegetation classification
2 A novel feature extraction technique to retrieve vegetation class for fire risk assessment
3 Optimizing configuration of neural ensemble network for breast cancer diagnosis
4 A neural ensemble approach for segmentation and classification of road images
5 Analysis of hybrid classification approach to differentiate dense and non-dense grass regions
6 Multi-Objective Evolutionary Algorithm based optimization of neural network ensemble classifier
ปี พ.ศ. 2556
7 Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm
9 Effect of ensemble classifier composition on offline cursive character recognition
10 Cluster-based ensemble of classifiers
11 Clustering based neural network approach for classification of road images
12 Effect of varying hidden neurons and data size on clusters, layers, diversity and accuracy in neural ensemble classifier
13 Impact of variability in data on accuracy and diversity of neural network based ensemble classifiers
14 Hierarchical segment learning method for road objects extraction and classification
15 Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm
16 Variable hidden neuron ensemble for mass classification in digital mammograms
17 Effects of large constituent size in variable neural ensemble classifier for breast mass classification
18 Cluster based ensemble classifier generation by joint optimization of accuracy and diversity
ปี พ.ศ. 2555
19 Selection and impact of different topologies in multi-layered hierarchical fuzzy systems
20 Comparing data mining with ensemble classification of breast cancer masses in digital mammograms
21 Binary segmentation algorithm for English cursive handwriting recognition
22 Neural Network Based Classifier Ensembles
23 Machine learning techniques in handwriting recognition
24 A Multilayered Ensemble Architecture for the Classification of Masses in Digital Mammograms
25 A neural networks-based fitting to high energy stopping power data for heavy ions in solid matter
26 Influence of Unstable Patterns in Layered Cluster Oriented Ensemble Classifier
27 Clustered Ensemble Neural Network for Breast Mass Classification in Digital Mammography
28 An Hierarchical Approach Towards Road Image Segmentation
ปี พ.ศ. 2554
29 Cluster-oriented ensemble classifier : impact of multi-cluster characterisation on ensemble classifier learning
30 Novel layered clustering-based approach for generating ensemble of classifiers
31 Ensemble classifier composition : impact on feature based offline cursive character recognition
32 Binary validation as segmentation for cursive handwriting recognition
33 An automated system for the analysis of the status of road safety using neural networks
34 Multi-cluster support vector machine classifier for the classification of suspicious areas in digital mammograms
35 Segment confidence-based binary segmentation (SCBS) for cursive handwritten words
36 An evolutionary algorithm based optimization of neural ensemble classifiers
ปี พ.ศ. 2553
37 Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer
38 An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems
39 MOEA based hierarchical fuzzy control over the set of user-defined initial conditions
40 Over-segmentation and neural binary validation for cursive handwriting recognition
41 A novel ensemble classifier approach using weak classifier learning on overlapping clusters
42 A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms
43 Non–uniform layered clustering for ensemble classifier generation and optimality
44 A novel approach based on fusion of three neural experts for handwriting recognition
ปี พ.ศ. 2552
45 An automatic intelligent language classifier
46 Impact of multiple clusters on neural classification of ROIs in digital mammograms
47 Multicluster class-based classification for the diagnosis of suspicious areas in digital mammograms
48 Selection and fusion of facial features for face recognition
49 Binary segmentation with neural validation for cursive handwriting recognition
50 A novel soft cluster neural network for the classification of suspicious areas in digital mammograms
51 Soft clustering and support vector machine based technique for the classification of abnormalities in digital mammograms
52 A compositional method using an evolutionary alborithm for finding fuzzy rules in 3-layered hierarchical fuzzy structure
53 Hybrid ensemble approach for classification
54 Intelligent methods for solving inverse problems of backscattering spectra with noise : a comparison between neural networks and simulated annealing
55 Hybrid data mining for medical applications
ปี พ.ศ. 2551
56 Hierarchical fuzzy control for the inverted pendulum
57 Impact of soft clustering on classification of suspicious areas in digital mammograms
58 A novel multiple experts and fusion based segmentation algorithm for cursive handwriting recognition
59 Parallel neural-based hybrid data mining ensemble
60 Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms
61 Fusion of segmentation strategies for off-line cursive handwriting recognition
62 Over-segmentation and validation strategy for off-line cursive handwriting recognition
63 Pattern recognition technologies and applications : recent advances /
64 Pattern Recognition Technologies and Applications
65 RBF neural networks for solving the inverse problem of backscattering spectra
ปี พ.ศ. 2550
66 Decisions fusion strategy towards hybrid cluster ensemble /
67 Combining SOM based clustering and MGS for classification of suspicious areas within digital mammograms
68 A Novel neural-genetic algorithm to find the most significant combination of features in digital mammograms
69 An Investigation of the modified direction feature for cursive character recognition
70 A neural network based approach for the vehicle classification
71 A hybrid data mining approach for knowledge extraction and classification in medical databases
72 Clustering and least square based neural technique for learning and identification of suspicious areas within digital mammograms
73 A segmentation based adaptive approach for cursive handwritten text recognition
ปี พ.ศ. 2549
74 Characterization of breast abnormality patterns in digital mammograms using auto-associator neural network
75 Neural networks for the classification of benign and malignant patterns in digital mammograms
76 Concept-based term weighting for web information retrieval
77 Neural networks for content based image retrieval
78 A Neural learning algorithm for the diagnosis of breast cancer
79 A Novel context-based technique for web information retrieval
80 Application of decision trees for mass classification in mammography
81 A Neural network based technique for automatic classification of road cracks
82 Neural classification of mass abnormalities with different types of features in digital mammography
83 Neural-association of microcalcification patterns for their reliable classification in digital mammography
84 A hybrid approach based on genetic algorithms in conjunction with statistical methods for the diagnosis of breast cancer
ปี พ.ศ. 2548
85 Artificial neural network techniques for analysis of ion backscattering spectra
86 Optimization of parameters for effective web information retrieval using an evolutionary algorithm
87 A comparative experimental analysis of separate and combined facial features for GA-ANN based technique
88 A hybrid classifier for mass classification with different kinds of features in mammography
89 A novel context matching based technique for web document retrieval
90 Classification of breast abnormalities in digital mammograms using image and BI-RADS features in conjunction with neural network
91 Neural vs statistical classifier in conjunction with genetic algorithm based feature selection
92 GA-ANN based technique for face recognition : PCA features vs average grey level value features
93 Sixth International Conference on Computational Intelligence and Multimedia Applications [electronic resource] : ICCIMA 2005 : proceedings : 16-18 August 2005, Las Vegas, Nevada /
ปี พ.ศ. 2547
94 A fusion of neural network based auto-associator and classifier for the classification of microcalcification patterns
95 Significance of neural association of microcalcification patterns for their classification in digital mammography
96 Face recognition : a new feature selection and classification technique
97 A fully automated offline handwriting recognition system incorporating rule based neural network validated segmentation and hybrid neural network classifier
98 A novel approach for structural feature extraction contour vs. direction
99 A fuzzy-neural approach for interpretation and fusion of colour and texture features for CBIR systems
100 Fuzzy logic based interpretation and fusion of color queries
101 A feature extraction technique for online handwriting recognition
102 A modified direction feature for cursive character recognition
103 A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography
ปี พ.ศ. 2546
104 Unsupervised clustering of texture features using SOM and Fourier Transform
105 A novel feature extraction technique for the recognition of segmented handwritten characters
106 A hierarchical method for finding optimal architecture and weights using evolutionary least square based learning
107 Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography
108 Real time web vehicle classifier
109 A texture feature extraction technique using 2D-DFT and hamming distance
110 Intelligent encoding of concepts in web document retrieval
111 A neural-evolutionary approach for feature and architecture selection in online handwriting recognition
112 A contour code feature based segmentation for handwriting recognition
113 A novel min-max feature value based neural architecture and learning algorithm for classification of microcalcifications
114 Fifth International Conference on Computational Intelligence and Multimedia Applications ICCIMA 2003, 27-30 September, Xi'an, China : proceedings
115 Fuzzy logic based texture queries for CBIR