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Pal, Saurabh
- Academic Performance Evaluation Using Soft Computing Techniques
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PDF Views:93
Authors
Affiliations
1 Department of Computer Science and Engineering, SET, Sharda University, Greater Noida 201 306, IN
2 Department of MCA, Purvanchal University, Jaunpur 222 002, IN
1 Department of Computer Science and Engineering, SET, Sharda University, Greater Noida 201 306, IN
2 Department of MCA, Purvanchal University, Jaunpur 222 002, IN
Source
Current Science, Vol 106, No 11 (2014), Pagination: 1505-1517Abstract
This article presents a study of academic performance evaluation using soft computing techniques inspired by the successful application of K-means, fuzzy C-means (FCM), subtractive clustering (SC), hybrid subtractive clustering-fuzzy C-means (SC-FCM) and hybrid subtractive clustering-adaptive neuro fuzzy inference system (SC-ANFIS) methods for solving academic performance evaluation problems. Modelling of students' academic performance is a difficult optimization problem. We explore the applicability of K-means and FCM, SC, hybrid SC-FCM and SCANFIS clustering methods to the new student's allocation problem, which allocates new students into some classes that consist of similar students and the number of students in each class not exceeding its maximum capacity. The models were combined with fuzzy logic techniques to analyse the students' results. In this article, we have conducted clustering based computational experiments to analyse the effects of the different clustering algorithms like K-means, FCM, SC, hybrid SC-FCM and hybrid SC-ANFIS clustering methods for modelling students' academic performance evaluation. Based on the comparison of the results, it is found that the hybrid SC-ANFIS clustering is better than the other methods.Keywords
Academic Performance Evaluation, Clustering Algorithms, Fuzzy Logic, Soft Computing Techniques.Full Text
- Fossil Remains of Proterosuchian from The Panchet Formation, Damodar Valley of India
Abstract Views :173 |
PDF Views:76
Authors
Affiliations
1 26/A Suraksha Nagar, ICD Road, Ahirwan, Kanpur 208 007, IN
1 26/A Suraksha Nagar, ICD Road, Ahirwan, Kanpur 208 007, IN
Source
Current Science, Vol 120, No 11 (2021), Pagination: 1749-1752Abstract
Fossils of proterosuchians are known from the Early Triassic beds of many different countries like China, Russia, South Africa and India. Remains of the earliest described proterosuchian Ankistrodon indicus, are known from the Lower Triassic beds of the Panchet Formation of India. Later, the genus was renamed as Chasmatosaurus indicus. Chasmatosaurus is now considered as a junior synonym of Proterosuchus. The Early Triassic archosauromorph remains from India are based on rare and poorly preserved proterosuchian jawbones, few vertebrae and an ilium. This article reports the discovery of additional Proterosuchus fossil material, humerus and rediscovery of the cervical and caudal vertebrae from the Lower Triassic beds of the Panchet Formation, from the locality near Asansol district, West Bengal, India. Proterosuchus humerus has not been described before from India; hence this additional material along with axial materials that are a cervical vertebra and a caudal vertebra will add further information about this Early Triassic proterosuchidae of India.Keywords
Cervical and Caudal Vertebrae, Fossil Remains, Humerus, Proterosuchian, Proterosuchus.Full Text
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