Kyphosis Disease Prediction with help of RandomizedSearchCV and AdaBoosting

Takkala, Harshith Reddy; Khanduri, Vinay; Singh, Aniket; Somepalli, Sai Nikhil; Maddineni, Rakesh; Patra, Sankha

doi:10.1109/icccnt54827.2022.9984343

Cited by 5 publications

(1 citation statement)

References 18 publications

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“…In particular, we evaluate a wide range of machine learning based models (i.e., the evaluating machine learning models of SVM, kNN, and RF are configured as shown in Table I) with six different normalization methods (i.e., the proposed normalization methods of MinMaxScaler [49], MaxAbsScaler [50], StandardScaler [49], RobustScaler [51], Normalizer [52], QuantileTransformer [53], and PowerTransformers [54] implemented by the Scikit-Learn toolbox [55]) and three types of features (i.e., only time-domain features, only frequency features, and both time and frequency domain features). The results of the machine learning based models are presented in Table VII.…”

Section: Resultsmentioning

confidence: 99%

Experiences of the e-learning environment of students at the University of Danang - University of Foreign Language Studies

Tran¹

2021

UD-JST

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E-learning is being widely deployed and gradually becoming a popular form of teaching in universities today. To achieve the quality of e-learning teaching requires the impact of many factors, in which the e-learning environment of students is important. This paper explored experiences on e-learning environment of students of The University of Danang - University of Foreign Language Studies (UD-UFLS) to improve e-learning environment of the university's students. The study refered to most students’ awareness of the importance of e-learning at university. The advantages and disadvantages of e-learning at the university (UD-UFLS) have also been identified. Through the results of the student survey, the content of the teacher's skills, the content of policies and management of e-learning activities, facilities and funding for e-learning implementation, class size, and student e-learning culture in e-learning are rated. The results of a questionnaire survey of 407 students of the UD-UFLS show a picture of students' e-learning environment and are the basis for proposing some measures to improve e-learning environment of the university's students.

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