A Semantically Enhanced Label Prediction Method for Imbalanced POI Data Category Distribution by Hongwei Zhang, Qingyun Du, Shuai Zhang, Renfei Yang

“…Considering the above problems, several negative samples are introduced for each input to a positive class, thereby transforming the multi-classification task into a binary classification problem. …”
Get full text

LFEN: A language feature enhanced network for scene text recognition by Hui Chen, Runming Jiang, Fang Hu, Min Chen, Yin Zhang

Get full text

Similarity and wavelet transform based data partitioning and parameter learning for fuzzy neural network by Pramoda Patro, Krishna Kumar, G. Suresh Kumar, Gandharba Swain

“…Furthermore, there are also some neuron regularization issues in the second layer. To solve this issue in this proposed system Bat optimization based feature selection is proposed for optimal selection of features from the available dataset. …”
Get full text

Machine learning and explainable artificial intelligence to predict and interpret lead toxicity in pregnant women and unborn baby by Priyanka Chaurasia, Pratheepan Yogarajah, Abbas Ali Mahdi, Sally McClean, Mohammad Kaleem Ahmad, Tabrez Jafar, Sanjay Kumar Singh

Get full text

Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning by Yulong Ji, Kunjin Zou, Bin Zou

“…However, it is limited by the reliance on a large number of high-quality labeled datasets and the issue of overfitting. These limitations hinder the accurate classification of advanced malware with only a few samples available. …”
Get full text

Integrating Multi-Variable Driving Factors to Improve Land Use & Land Cover Classification Accuracy using Machine Learning Approaches: A Case Study from Lombok Island by Miftahul Irsyadi Purnama, Hüseyin Oğuz Çoban

“…This superior performance is largely due to the multi-variable approach, which allows the model to mitigate issues like cloud cover in satellite images. The key variables that significantly influenced the land cover classification on Lombok Island include proximity to settlements, temperature, and distance to roads. …”
Get full text

International phase 1 study protocol to develop a health state classification system for a preference-based measure for women with breast cancer: the BREAST-Q Utility module by Andrea L Pusic, Stefan J Cano, Anne Klassen, Feng Xie, Manraj Kaur, Louise Bordeleau

“…Introduction Concerns unique to women with breast cancer can include impact of cancer on body image, sexual well-being and changes in breast appearance and sensation. These important issues are not captured by the existing generic preference-based measures (PBMs) and no breast cancer-specific PBM currently exists. …”
Get full text

Izmail Sreznevsky and Slovenian by Irina Makarova Tominec

“…This article discusses in greater detail how complex issues were resolved with regard to studying Slovenian dialects, their scholarly description and classification, and the borders between them. …”
Get full text

Methodology for assessing the potential of innovative development of a small enterprise by O. A. Dubova

Get full text

Protective and fragmentation-aware routing of unicast data centre traffic in disaster-prone online SDM-EONs by Sourabh Chandra, Khokan Mondal, Souvik Singha

Get full text

Design and implementation of railway green performance basic data collection system by Xiangru Lyu, Hui Li

“…This study addressed the issues related to the collection and management of basic data for railway green performance. …”
Get full text

Progress of fracture mapping technology based on CT three-dimensional reconstruction by Jichao Liu, Ziyan Zhang, Ji Qu, Chengdong Piao

“…This technology provides a new research method for the diagnosis, classification, treatment selection, internal fixation design, and statistical analysis of common fracture sites. …”
Get full text

Prediction and diagnosis of cardiovascular disease using cloud and machine learning design by K. Babu, A. Gokula Chandar, S. Kannadhasan

Get full text

Prediction of Metastasis in Paragangliomas and Pheochromocytomas Using Machine Learning Models: Explainability Challenges by Carmen García-Barceló, David Gil, David Tomás, David Bernabeu

“…One of the main issues with paragangliomas and pheochromocytomas is that these tumors have up to a 20% rate of metastatic disease, which cannot be reliably predicted. …”
Get full text

Sentiment Analysis and Topic Modeling of Indonesian Public Conversation about COVID-19 Epidemics on Twitter by Muhammad Habibi, Adri Priadana, Muhammad Rifqi Ma’arif

“…The results of this study reveal that the most frequently discussed topic related to the COVID-19 pandemic is economic issues.…”
Get full text

Recognition model for major depressive disorder in Arabic user-generated content by Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref

“…The dataset was constructed in two variants, one with binary classification and the other with multi-classification. …”
Get full text

Modern Deep Learning Techniques for Big Medical Data Processing in Cloud by Mohammed Y. Shakor, Mustafa Ibrahim Khaleel

Get full text

Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review by Dhekre Saber Saleh, Mohd Shahizan Othman

Get full text

Analysis of the Impact of Selected Dynamic Parameters of a Motor Vehicle on CO₂ Emissions Using Logistic Regression by Magdalena Rykała, Małgorzata Grzelak, Anna Borucka

Get full text

Automatic melanoma detection using an optimized five-stream convolutional neural network by Vida Esmaeili, Mahmood Mohassel Feghhi, Hadi Seyedarabi

“…Finally, we propose an optimized four-stream CNN (OFSCNN) for classification. It can simultaneously classify the lesion color, lesion edges, texture features, local-spatial frequency features, and multi-oriented gradient features. …”
Get full text