The merits and demerits of each of the methods of classification of research discussed here be adopted by researchers at all levels especially the beginning researchers. The paper therefore concluded that the proper knowledge of the method of classification of research is very important for the ...
Liang and Du developed a multi-layer SVM-based FDD method for chillers [63]. The first SVM classifier was used to detect whether a fault occurred or not. If not, a set of SVM classifiers, which were trained for classifying each fault respectively, were processed one by one in sequence to...
The statistical method divides the feature space into different classes by calculating the probability of a certain feature belonging to a specific class. As a linear method, linear discriminant analysis uses the data of each class to generate a model of the probability density function and then ...
1. School of Architecture Engineering, Shandong University of Technology, Zibo 255000, China; 2. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 3. University of...
“Related works” primarily presents the related studies of deep learning in the field of network traffic classification research. “Method” introduces our suggested Multi-Task Learning Fusion (MTEFU) algorithm based on deep learning, input feature analysis, and source task classification partitioning ...
This research work provided a summary of recent transformer fault analysis. Several ML-based techniques based on conventional DGA approaches have been discussed. The following are the contributions of the proposed research analysis: A multi-classification model for fault diagnosis is proposed, that enhan...
(binary/multi-class, ordinal regression and multi-label). The resulting dataset, consisting of approximately 708K 2D images and 10K 3D images in total, could support numerous research and educational purposes in biomedical image analysis, computer vision and machine learning. We benchmark several ...
Schuller et al. compared two methods (Schuller et al., 2003). In the first method, utterances are classified by GMMs using global statistics of features derived from the raw pitch and energy contour of the speech signal. In the second one, continuous HMM is applied using low-level instantane...
For example, the classification of phenomena is the basic method of human perception of the world, and it is also the only way to go. Therefore, in the sense of helping people understand the phenomenon of experience, the Marcos’ research results obviously make a useful effort to this end,...
A classification method based on a cloud of spheres Tiago Dias, Paula Amaral 2023 Article 100077 View PDF select article Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent Research articleOpen access Laplacian-based semi-Supervised learning in multilayer hypergraphs ...