Accurate Indoor Home Location Classification through Sound Analysis: The 1D-ILQP Approach by Umut Erman, Türker Tuncer, Nura Abdullahi, Sengul Dogan, Erhan Akbal

“…Subsequently, we selected the top 100 features using the Neighborhood Component Analysis (NCA) technique. …”
Get full text

An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection by Flavia Grignaffini, Enrico De Santis, Fabrizio Frezza, Antonello Rizzi

“…In contrast, the Shapley additive explanations method was used to perform a feature importance analysis on the additional handcrafted information. …”
Get full text

Mutual information-based radiomic feature selection with SHAP explainability for breast cancer diagnosis by Oladosu Oyebisi Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan

“…Breast cancer is a prevalent concern for women globally, with misdiagnosis potentially leading to detrimental outcomes. Early detection is crucial, often reliant on medical imaging analysis. …”
Get full text

PROPERTIES OF NETWORKS BUILT ON DIGITAL IMAGES by Oleh Kushnir, Oleksiy Kravchuk, Volodymyr Franiv

Get full text

Multimodal scene recognition using semantic segmentation and deep learning integration by Aysha Naseer, Mohammed Alnusayri, Haifa F. Alhasson, Mohammed Alatiyyah, Dina Abdulaziz AlHammadi, Ahmad Jalal, Jeongmin Park

“…These results demonstrate how the multimodal approach can improve scene detection and classification, with potential uses in fields including robotics, sports analysis, and security systems.…”
Get full text

Continuous robust sound event classification using time-frequency features and deep learning. by Ian McLoughlin, Haomin Zhang, Zhipeng Xie, Yan Song, Wei Xiao, Huy Phan

“…It then benchmarks several high performing isolated sound classifiers to operate with continuous sound data by incorporating an energy-based event detection front end. Results are reported for each tested system using the new task, to provide the first analysis of their performance for continuous sound event detection. …”
Get full text

Deep Learning-Driven Multi-Temporal Detection: Leveraging DeeplabV3+/Efficientnet-B08 Semantic Segmentation for Deforestation and Forest Fire Detection by Joe Soundararajan, Andrew Kalukin, Jordan Malof, Dong Xu

“…This study presents a deep learning framework that combines the DeepLabV3+ architecture with an EfficientNet-B08 backbone to address both deforestation and wildfire detection using satellite imagery. The system utilizes advanced multi-scale feature extraction and Group Normalization to enable robust semantic segmentation under challenging atmospheric conditions and complex forest structures. …”
Get full text

Feature Selection for Hypertension Risk Prediction Using XGBoost on Single Nucleotide Polymorphism Data by Lailil Muflikhah, Tirana Noor Fatyanosa, Nashi Widodo, Rizal Setya Perdana, Solimun, Hana Ratnawati

“…This study provides compelling evidence that the XGBoost feature selection method outperforms other representative feature selection methods, such as genetic algorithms, analysis of variance, chi-square, and principal component analysis, in predicting hypertension risk, demonstrating its effectiveness. …”
Get full text

MRI feature-based discrimination model for prediction of MGMT promoter methylation status in glioma by ZHANG Zhi-zhong, YOU Na, LIU Ming-hang, LI Ze, SUN Guo-chen, ZHAO Kai

“…Pyrosequencing was used to detect the MGMT promoter methylation status. Univariate and multivariate Logistic regression analyses were used to find the imaging feature factors that affect the MGMT promoter methylation status. …”
Get full text

Design and application of a music recommendation system based on user behavior and feature recognition by Ji Lu, Minjun Wu

“…Currently, music recommendation systems have significant limitations in user behavior analysis, resulting in lower accuracy in recommendations. …”
Get full text

An Empirical Evaluation of Supervised Learning Methods for Network Malware Identification Based on Feature Selection by C. Manzano, C. Meneses, P. Leger, H. Fukuda

“…The principal component analysis (PCA) and logistic regression (LR) methods with p value were applied to select the most representative features related to the time properties of flows and features of bidirectional packets. …”
Get full text

Early cardiac involvement in patients with hyperthyroidism evaluated by cardiac magnetic resonance feature tracking by Yi Zhang, Yiming Jia, Renbin Ge, Qian Luo, Xiance Zhao, Xing Xing, Fang Liu, Lei Zhang

Get full text

Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

Get full text

TF-LIME : Interpretation Method for Time-Series Models Based on Time–Frequency Features by Jiazhan Wang, Ruifeng Zhang, Qiang Li

“…The TFHS algorithm achieves precise homogeneous segmentation of the time–frequency matrix through peak detection and clustering analysis, incorporating the distribution characteristics of signals in both frequency and time dimensions. …”
Get full text

Deep Learning Technology for Weld Defects Classification Based on Transfer Learning and Activation Features by Chiraz Ajmi, Juan Zapata, Sabra Elferchichi, Abderrahmen Zaafouri, Kaouther Laabidi

Get full text

Spectroscopic, Thermally Induced, and Theoretical Features of Neonicotinoids’ Competition for Adsorption Sites on Y Zeolite by Bojana Nedić Vasiljević, Maja Milojević-Rakić, Maja Ranković, Anka Jevremović, Ljubiša Ignjatović, Nemanja Gavrilov, Snežana Uskoković-Marković, Aleksandra Janošević Ležaić, Hong Wang, Danica Bajuk-Bogdanović

Get full text

Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation by Shan Zhu

“…This paper uses the method of tree kernel function to measure the similarity of two ontology trees. According to the features of nodes in ontology tree, methods to calculate the external features and internal features of nodes are proposed, respectively. …”
Get full text

Diagnostic features and surgical treatment of malignant heart tumor - hemangioendothelioma: A case report by Khamidulla Zh. Buranov, Khamidulla A. Abdumadzhidov

Get full text

Modern epidemiological features of viral acute intestinal infections in children and adolescents of Sakhalin region by E. Yu. Sapega, L. V. Butakova, O. E. Trotsenko

“…Objective: to identify modern epidemiological features of viral acute intestinal infections in children and adolescents in the Sakhalin Region.Materials and methods. …”
Get full text

Self-collision Detection and Motion Planning of Hydraulic Quadruped Robot by SHAO Junpeng, CHI Hanwei, SUN Guitao

“…Aiming at the selfcollision problem in the motion of fourlegged robots， the distance function method is adopted， the feature points are selected for the legs， and the distance between the feature points is detected to plan the trajectory of the foot In the research process， the threedimensional model of the quadruped robot was established， and four selfcollision position detection models were given The analysis of the leg motion space was performed Two feature points were selected on each leg， and the feature points were used to solve the feature points Control the distance between the legs to control the legs Through simulation analysis and experiment， the distance function method can be used to control the minimum distance between the two ends at 3472mm， effectively avoiding the collision problem between the legs during the running of the robot…”
Get full text