"""Fast hash of a matrix that is robust to dtype and small perturbations.Note this relies on the ordering of the elements in the matrix, so it is if the matrix is in any way sorted this will not work well. In addition, this hash is intended for large tensors 64 + elements. """...
Three classifiers: Naive Bayes, KNN and SVM are used to explore the effects of different classifiers on the prediction results. The parameters of two types of pseudo amino acid composition are 2. The denoising parameters of two-dimensional wavelet denoising for the extracted feature vectors of type...
The training dataset of this work mainly focuses on the anomaly or fraud identification issue and has the label to identify whether the data is an anomaly or not. Initially, we assigned the weight for each sample in the dataset and basic classifiers to get the probability distribution and then...
. The main reason for this wide gap is unavailability of protein structure, which is used to assign the structural class, for the significant majority of the known protein sequences. To this end, an accurate and automated method for classification of sequences into the corresponding structural c...
Paragon of the Spear Combat Focused, Spear Master, Melee/Mid-range Training for many years to master just one weapon, these spear wielders have no equal in combat involving spears of any kind. Paraphrys Paraphrys are focused upon Chaos. They use chaotic energy to power powerful paraphryia,...
The following steps are applied to enhance the accuracy of the classification of the Cope Leaf Dataset for 99 label data: Noisy and mislabeled data are removed. Data augmentation techniques (rotation and shifting) are applied to increase the diversity of the training set. The dataset is balanced...
The Santa Catarina Southern Plateau is located in Southern Brazil and is a region that has gained considerable attention due to the rapid conversion of the typical landscape of natural grasslands and wetlands into agriculture, reforestation, pasture, and
Industrial-oriented compression purposes, often aiming for ultra-fast and low memory consumption computations at the expense of poor compressibility, are different from the scientific-oriented approach of developing novel models, usually aiming for better compressibility at the expense of higher ...