Entrepreneurial Intention: Categorization, Classification of Constructs and Proposition of a Model by Fellipe Silva Martins, Eduardo Biagi Almeida Santos, Amélia Silveira

Get full text

Automatic classification of mobile apps to ensure safe usage for adolescents by Hanadi Hakami

Get full text

Sparse Graph Embedding Based on the Fuzzy Set for Image Classification by Minghua Wan, Mengting Ge, Tianming Zhan, Zhangjing Yang, Hao Zheng, Guowei Yang

“…To solve the problems, a new and effective dimensional reduction method for face recognition is proposed—sparse graph embedding with the fuzzy set for image classification. The aim of this algorithm is to construct two new fuzzy Laplacian scattering matrices by using the local graph embedding and fuzzy k-nearest neighbor. …”
Get full text

Node Classification on The Citation Network Using Graph Neural Network by Irani Hoeronis, Bambang Riyanto Trilaksono

Subjects: Get full text

Applying models of scientific terms' surroundings in classification of scientific publications by Vaidas Balys, Rimantas Rudzkis

Subjects: “…classification of publications…”
Get full text

English Grammar Error Correction Algorithm Based on Classification Model by Shanchun Zhou, Wei Liu

“…On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of English grammar error correction algorithm, elaborated the development background, current status, and future challenges of the classification model, introduced the methods and principles of feature extraction method and dynamic residual structure, constructed a basic model for English grammar error correction based on the classification model, analyzed the classification model and translation model of English grammar error correction, proposed the English grammar error correction algorithm based on the classification model, performed the analyses of the model architecture and model optimizer of the grammar error correction algorithm, and finally conducted a simulation experiment and its result analysis. …”
Get full text

Hybrid clustering strategies for effective oversampling and undersampling in multiclass classification by Amirreza Salehi, Majid Khedmati

Subjects: “…Multiclass classification…”
Get full text

An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection by Digvijay J. Pawar, Yuvraj K. Kanse, Suhas S. Patil

Subjects: Get full text

Automated Stellar Spectra Classification with Ensemble Convolutional Neural Network by Zhuang Zhao, Jiyu Wei, Bin Jiang

“…Then, according the cross-entropy testing error of the spectra at different signal-to-noise ratios, we integrate the results of different classifiers in an ensemble learning way to improve the effect of classification. …”
Get full text

Classical Hodgkin Lymphoma Presenting with Severe, Recurrent Hypothermic Episodes by Jonas Juul Hansen, Hans Beier Ommen, Lars Christian Gormsen, Francesco Annibale d’Amore, Peter Martin Hjørnet Kamper

Get full text

Multi-Class Sentiment Analysis on Twitter: Classification Performance and Challenges by Mondher Bouazizi, Tomoaki Ohtsuki

“…Sentiment analysis refers to the automatic collection, aggregation, and classification of data collected online into different emotion classes. …”
Get full text

Intraspecific classification of durum wheat: new botanical varieties and forms by O. A. Lyapunova

Subjects: Get full text

Classification of the Gall-Wasps and the Parasitic Cynipoids, or the Superfamily Cynipoidea IV by William H. Ashmead

Get full text

Deep learning and explainable AI for classification of potato leaf diseases by Sarah M. Alhammad, Doaa Sami Khafaga, Walaa M. El-hady, Farid M. Samy, Khalid M. Hosny

Subjects: “…potato leaf disease classification…”
Get full text

An Intelligent Medical Imaging Approach for Various Blood Structure Classifications by Madallah Alruwaili

Get full text

Machine classification of code signals in electric train warning systems by I. V. Prisukhina, D. V. Borisenko

“…To improve the stability of such systems while receiving signals from a track circuit, we propose a machine classification algorithm based on a neural network. …”
Get full text

Advancements in Image Classification: From Machine Learning to Deep Learning by Cheng Haoran

“…Image classification, as an essential task within the realm of computer vision, has evolved from traditional machine learning methods to deep learning techniques. …”
Get full text

Classification of Melanoma and Nevus in Digital Images for Diagnosis of Skin Cancer by Muhammad Qasim Khan, Ayyaz Hussain, Saeed Ur Rehman, Umair Khan, Muazzam Maqsood, Kashif Mehmood, Muazzam A. Khan

“…Support vector machine (SVM) is utilized for the classification of skin cancer into melanoma and nevus. …”
Get full text

Harmonic Classification with Enhancing Music Using Deep Learning Techniques by Wen Tang, Linlin Gu

“…Then, traditional classification is used to create the key classifier which is better than others or manually one. …”
Get full text

Classification of Melanoma Cancer Using Deep Convolutional Neural Networks by Emrah Dönmez, Ali Güneş

Get full text