Group classification
Age Group Classification System Using Shape Features
... age classification techniques [16,17] and Sneha ( ...age group classification method proposed by Sneha Thakur ...The classification percentage of proposed method and other existing methods are ...
9
Motif Patterns Based Age Group Classification on LDP
... The LDP is mainly based on Local Binary pattern (LBP). The LDP approach is suitable for age group classification. It is consider as the edge response values in all different directions instead of ...
11
Classification of births according to Robson 10 group classification: an emerging concept to audit the increasing caesarean section rate
... Robson’s 10 group classification provides easy way in collecting information about caesaren section rate which obtains good insight into certain birth groups. Detailed analysis of 10 groups help us to ...
5
GROUP CLASSIFICATION FOR A GENERAL NONLINEAR MODEL OF OPTIONS PRICING
... a group classification [7] of equation ...The group of equivalence transformations [7, 8] of equation ...this group symmetries for the equation with all specifications will be ...
8
Group classification of the time-fractional Kaup-Kupershmidt equation
... The rest of our work is organized as follows. In Section 2, we present the analysis of the Lie Symmetry group of FDEs. Afterwards, in Section 3, we obtain the Lie point symmetries of the time-fractional ...
6
An Update on the Streptococcus bovis Group: Classification, Identification, and Disease Associations
... bovis group. By analyzing 52 previously identified S. bovis group isolates, Romero et ...bovis group isolates with various protein extraction methods against two different MALDI-TOF MS instruments ...
6
Age Group Classification with Speech and Metadata Multimodality Fusion
... In this paper we investigate child identification from voice commands, metadata and the combina- tion of the two to improve classification accuracy. Age and gender identification from speech is not a new problem ...
6
On symmetry group classification of a fin equation
... Lie Group Analysis of Differential Equations, ...Lie Group Analysis of Differential Equations, ...Lie Group Analysis of Differential Equations, ...
15
Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques
... a group of features differing significantly between different SDB severity groups was selected as a potential acoustic ...biomarker, classification tasks were performed using several machine learning ...
19
An Event Group Based Classification Framework for Multi-variate Sequential Data
... when classification is made on isolated ...behaviour classification demonstrates that our approach has the capacity to model and classify genuine real-valued time series data, with appropriate ...
22
Opinion Mining of M Learning Reviews using Soft Computing Techniques
... Internet has increasingly become the place for online learning, and exchange of ideas. The rapid development in wireless technology offering fast data transfer has lead to mobile device revolution. With the ease of ...
5
GPCRTree: online hierarchical classification of GPCR function
... A previously-constructed comprehensive GPCR sequences dataset was used to train and test the classifier [22]. Pro- teins shorter than 280 amino acids were removed, elimi- nating incomplete protein sequences. All ...
7
Phonetic Classification on Wide Band and Telephone Quality Speech
... PHONETIC CLASSIFICATION ON WIDE BAND AND TELEPHONE QUALITY SPEECH PHONETIC CLASSIFICATION ON WIDE BAND AND TELEPHONE QUALITY SPEECH Benjamin Chigier Speech Technology Group Artificial Intelligence Lab[.] ...
5
Burn- Like Dermatoses: A Neglected Group of Skin Diseases with a New Classification
... second group includes other miscellaneous conditions that occasionally or rarely present as burn, like during the course of the disease and these include: paederus dermatitis, DLE, hair dye dermatitis, Pemphigus ...
6
A Hybrid Feature Selection Method to Improve Performance of a Group of Classification Algorithms
... In the wrapper approach, the feature subset selection is done using the induction algorithm as a black box. The feature subset selection algorithm conducts a search for a good subset using the induction algorithm itself ...
8
Detection and classification for group moving humans
... Object classification step categorizes detected objects into predefined classes such as human, vehicle, animal, clutter, ...object classification, which are shape- based and motion-based methods ...
17
Supraselective intra-arterial chemotherapy: evaluation of treatment-related complications in advanced retinoblastoma
... In our experience, intra-arterial infusion of melphalan has been successful in achieving effective tumor reduction in advanced retinoblastoma cases primarily as globe-salvage therapy after failure of systemic ...
6
The Power of Group Generators and Relations: An Examination of the Concept and Its Applications
... in group theory in detail at Stanford University Mathematics Camp (SUMaC) in summer 2017, my understanding invited me to think about groups in other ways and enabled me to explore related theories and applica- ...
20
Group Separation and Classification of Non-Suicidal Self-Injury in a University Student Population
... method, frequency, motivations, and functions underlying NSSI, there is reason to suspect that people can be meaningful grouped as different sub-populations around these different aspects of NSSI. However, achieving that ...
155
Learning group patterns for ground based cloud classification in wireless sensor networks
... values of our method with the other comparing methods. The following four points can be drawn through analyz- ing the experimental results. First, the proposed method achieves the highest classification accuracy. ...
6