Vestibular schwannoma: structural characteristics, objectification of metabolic dysfunction and its clinical significance (controversial and promising issues) by O.Yu. Malysheva, V.V. Vaslovych, O.G. Chernenko, V.O. Fedirko, G.A. Shmeleva, T.A. Malysheva

Get full text

ISSUES CONCERNING PROTECTION OF THE VINE FAMILY (FAMILY <i> VITACEAE </i> JUSS.) IN THE RUSSIAN FAR EAST by N. I. Denisov

Get full text

Phosphoribosyl transferase domain containing 1: A prognostic biomarker in testicular germ cell tumors by Peisheng Huang, Yihao Chen, Yongcheng Shi, Chuanfan Zhong, Huawei Lin, Xiaoxue Yu, Kai Chen, Zhuoya Huang, Le Zhang, Shumin Fang, Jianming Lu, Jiahong Chen

Get full text

Classification of commercial districts based on predicting the survival rate of food service market in Seoul. by DongHyeon Lee, Jaekyung Lee, ManSu Kang, SangHyun Cheon

Get full text

A lightweight CNN-LSTM hybrid model for land cover classification in satellite imagery by Nowshad Hasan, Md. Saiful Islam

“…However, traditional Convolutional Neural Networks (CNNs) require high computational demand, a large number of parameters, and a long training time for classification tasks. To address this issue, a hybrid model combining a lightweight CNN with a Long Short-Term Memory (LSTM) network is proposed. …”
Get full text

Fine-Tuning Network Slicing in 5G: Unveiling Mathematical Equations for Precision Classification by Nikola Anđelić, Sandi Baressi Šegota, Vedran Mrzljak

“…The proposed method demonstrates outstanding performance, achieving a perfect classification accuracy of 1.0.…”
Get full text

XGBoost and SHAP-Based Analysis of Risk Factors for Hypertension Classification in Korean Postmenopausal Women by Hojeong Kim, Mavlonbek Khomidov, Jong-Ha Lee

“…This study conducted hypertension classification by analyzing health checkup data from 3289 postmenopausal Korean women aged 55–79 years, extracted from the 2022–2023 Korea National Health Insurance Service (KNHIS) database, using XGBoost, SVM and ANN. …”
Get full text

Enhancing Defect Classification in Solar Panels With Electroluminescence Imaging and Advanced Machine Learning Strategies by Fatih Demir

“…For the two-class classification problem, the classification performance is 98.17%, and for the four-class classification problem, it is 97.02%.…”
Get full text

Automatic Classification of Multilanguage Scientific Papers to the Sustainable Development Goals Using Transfer Learning by Lya Hulliyyatus Suadaa, Anugerah Karta Monika, Berliana Sugiarti Putri, Yeni Rimawati

“…The proposed method addresses the scalability issue in SDG classification and lays the groundwork for more efficient systems that can handle the multilingual nature of modern scientific publications.…”
Get full text

Advanced heart disease classification based on multi-channel heart sound coupling features. by Yu Fang, Dongbo Liu, Zijian Guo, Hongxia Leng, Xing Liu, Xiaochen Wu

“…To address this issue, a novel classification framework based on multi-channel heart sound coupling feature extraction is proposed to enhance heart disease identification. …”
Get full text

Heart Sound Classification Based on Multi-Scale Feature Fusion and Channel Attention Module by Mingzhe Li, Zhaoming He, Hao Wang

“…In this paper, we propose a heart sound classification model named CAFusionNet, which fuses features from different layers with varying resolution ratios and receptive field sizes. …”
Get full text

Profile of Animal Ecology Field trip: Description of Students’ Identification Skills and Classification Skills by Iwan Setia Kurniawan, Fransisca Sudargo Tapilouw, Topik Hidayat

“…The results showed that the CPL course and CPL subjects not relevant to the fact that in both CPL there are some points the use of science and technology, the reality in the learning process technology, it is also supported by student response on the issue. The identification and classification skills of students included in the category sufficient. …”
Get full text

Robust Classification via Finite Mixtures of Matrix Variate Skew-<i>t</i> Distributions by Abbas Mahdavi, Narayanaswamy Balakrishnan, Ahad Jamalizadeh

“…To address this issue, one common approach is to introduce a tail or skewness parameter to a symmetric distribution. …”
Get full text

A Trusted Measurement Scheme for Connected Vehicles Based on Trust Classification and Trust Reverse by Zipeng Diao, Mengxiang Wang, Qiang Fu, Bei Gong, Meng Chen

Get full text

Multiple Scaling Based EfficientNet Modelling for Liver Tumor Classification on CT Images by Bilga Jacob, R. S. Vinod Kumar, S. S. Kumar

“…Recent, deep Convolutional Neural Network (CNN) research has produced amazing improvements in image segmentation and classification. The same issue of diagnosing liver nodules in computed tomography (CT) scans is addressed in this research by introducing a novel Computer-Aided Detection (CAD) system that makes use of an Efficient Network (EfficientNet) image classification algorithm. …”
Get full text

Enhanced ResNet-50 for garbage classification: Feature fusion and depth-separable convolutions. by Lingbo Li, Runpu Wang, Miaojie Zou, Fusen Guo, Yuheng Ren

“…However, existing deep learning-based garbage image classification models generally suffer from low classification accuracy, insufficient robustness, and slow detection speed due to the large number of model parameters. …”
Get full text

Hierarchical Classification of Environmental Noise Sources Considering the Acoustic Signature of Vehicle Pass-Bys by Xavier VALERO, Francesc ALIAS

“…The proposed classification scheme yields an averaged classification accuracy of 92.5%, which is, in absolute terms, 3% higher than the baseline (a traditional flat classification scheme without hierarchical structure). …”
Get full text

Real-time ship detection and classification application framework based on airborne SAR image by Miao Weixing, Wang Xiaolong, Li Zhiyong, Yang Song, Zhang Xin, Ji Xinning

“…Focusing on this issue, a real-time application framework for ship detection and classification based on airborne SAR images is discussed and constructed, and the key processes and methods in engineering application are illustrated. …”
Get full text

Study of the Application of Text Augmentation with Paraphrasing to Overcome Imbalanced Data in Indonesian Text Classification by Mutiara Indryan Sari, Lya Hulliyyatus Suadaa

“…This study addresses the data imbalance issue in Indonesian text classification by proposing a novel text augmentation approach using fine-tuned pre-trained models: IndoGPT2, IndoBART-v2, and mBART50. …”
Get full text

Hybrid feature selection and classification technique for early prediction and severity of diabetes type 2. by Praveen Talari, Bharathiraja N, Gaganpreet Kaur, Hani Alshahrani, Mana Saleh Al Reshan, Adel Sulaiman, Asadullah Shaikh

“…Diabetes typically stays lethargic, and on the off chance that patients are determined to have another illness, like harm to the kidney vessels, issues with the retina of the eye, or a heart issue, it can cause metabolic problems and various complexities in the body. …”
Get full text