Prediction of Student performance in Higher Education System using R ProgrammingNeha Kawchale
Here, we found that the cANN can acquire prediction in language (i.e., next-word prediction) through training, and simultaneously rule extraction from sequences (i.e., syntactic recognition) can also be acquired spontaneously in the middle layer of the same circuit. This suggests that two gen...
very similar molecules might be present in both the training and test sets, easily leading to information leakage of the training dataset and the production of bias in the model evaluation. To overcome the potential bias and validate the robustness of our method...
Recent advancements in the manufacturing and commercialisation of miniaturised sensors and low-cost wearables have enab
If you have found any relevant papers that need to be included in this repository, please feel free to submit a pull request (PR) or open an issue. If you find this repository useful, please give it a 🌟.Each paper may apply to one or several types of forecasting, including ...
The results show that the proposed WOA–VMD–GRU model has the best prediction accuracy, with correlation coefficients and Nash coefficients above 0.99 and 0.97 in the prediction results of the three hydrological stations, respectively, and avoids the low efficiency of VMD decomposition parameters in ...
A change required to the process in a product is referred to as defect (Lyu, 1996). Thus, inspection at all levels of software development life cycle (SDLC) can yield defects (Hailpern and Santhanam, 2002). There are different programming methodologies available for programmers to develop a ...
Therapeutic peptides play an essential role in human physiology, treatment paradigms and bio-pharmacy. Several computational methods have been developed to identify the functions of therapeutic peptides based on binary classification and multi-label clas
This objective function was then optimized by a local solver without non-linear constraints using Sequential Quadratic Programming (SLSQP) algorithm40. The optimization procedure was applied on all the datapoints included in the test set. Evaluation of classification performance Contingency tables were ...
Three commonly enriched RBPs from all comparisons (highlighted in colored circles) were validated by immunoblotting. The r represents the Pearson correlation coefficient, two-sided Student’s t-test. c, Venn diagram showing identified binding proteins of eight lncRNAs (human coPARSE-lncRNAs THORLNC,...