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 selected features were used to train the algorithms using binary and multiclass classification. …”
Get full text

Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost by Sonam Tyagi, Ishwari Singh Rajput, Bhawnesh Kumar, Harendra Singh Negi

“…Wrapper-based genetic algorithm (WGA) iteratively removes least significant features and trains a model with the remaining features until the needed number is obtained. …”
Get full text

AlexNet-Based Feature Extraction for Cassava Classification: A Machine Learning Approach by Miftahus Sholihin, Mohd Farhan Md Fudzee, Mohd Norasri Ismail

Get full text

Software Defect Prediction Using Deep Q-Learning Network-Based Feature Extraction by Qinhe Zhang, Jiachen Zhang, Tie Feng, Jialang Xue, Xinxin Zhu, Ningyang Zhu, Zhiheng Li

“…After that, the reward principle is defined for computing the Q value of Q-learning based on weight ranking, relation matrix, and the number of errors, according to which a convolutional neural network model is trained on datasets until the sequences of metric pairs are generated for all datasets acting as the revised feature set. …”
Get full text

Automatic Feature Selection for Imbalanced Echocardiogram Data Using Event-Based Self-Similarity by Huang-Nan Huang, Hong-Min Chen, Wei-Wen Lin, Rita Wiryasaputra, Yung-Cheng Chen, Yu-Huei Wang, Chao-Tung Yang

“…This study introduces an event-based self-similarity approach to enhance automatic feature selection approach for imbalanced echocardiogram data. …”
Get full text

Modulation Format Identification Method Based on Multi-Feature Input Hybrid Neural Network by Zhiqi Huang, Xiangjun Xin, Qi Zhang, Haipeng Yao, Feng Tian, Fu Wang

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

“…Conclusions Imaging features based on preoperative CT and MRI show promise for non-invasive prediction of MGMT promoter methylation status in glioma.…”
Get full text

Palm-Print Pattern Matching Based on Features Using Rabin-Karp for Person Identification by S. Kanchana, G. Balakrishnan

“…Feature based pattern matching has faced the challenge that the spatial positional variations occur between the training and test samples. …”
Get full text

MRI-based deep learning with clinical and imaging features to differentiate medulloblastoma and ependymoma in children by Yasen Yimit, Yasen Yimit, Parhat Yasin, Yue Hao, Abudouresuli Tuersun, Abudouresuli Tuersun, Chencui Huang, Xiaoguang Zou, Xiaoguang Zou, Ya Qiu, Ya Qiu, Yunling Wang, Mayidili Nijiati, Mayidili Nijiati

“…BackgroundMedulloblastoma (MB) and ependymoma (EM) in children share similarities in terms of age group, tumor location, and clinical presentation, which makes it challenging to clinically diagnose and distinguish them.PurposeThe present study aims to explore the effectiveness of T2-weighted magnetic resonance imaging (MRI)-based deep learning (DL) combined with clinical imaging features for differentiating MB from EM.MethodsAxial T2-weighted MRI sequences obtained from 201 patients across three study centers were used for model training and testing. …”
Get full text

MODULAR APPROACH TO THE MUSIC-PEDAGOGIC TRAINING by Anna P. Mansurova

Get full text

Integrating CT-based radiomics and clinical features to better predict the prognosis of acute pancreatitis by Hang Chen, Yao Wen, Xinya Li, Xia Li, Liping Su, Xinglan Wang, Fang Wang, Dan Liu

“…A CT radiomics-based nomogram integrated with clinical features allows a more comprehensive assessment of AP prognosis. …”
Get full text

Malware Detection Using a Random Forest Method Trained on a Balanced Synthetic Dataset by Neo Onica Matsobane, Sello Mokwena

“…A flow-based model was used to generate a balanced synthetic dataset based on the CICMalDroid2020 dataset. …”
Get full text

Intrusion detection system based on machine learning using least square support vector machine by Pratik Waghmode, Manideep Kanumuri, Hosam El-Ocla, Tanner Boyle

“…The selection is based on identifying the feature subset with the highest accuracy. …”
Get full text

Battery SOH Estimation Based on Dual-View Voltage Signal Features and Enhanced LSTM by Shunchang Wang, Yaolong He, Hongjiu Hu

“…To address this, this paper proposes a prediction framework based on dual-view voltage signal features and an improved Long Short-Term Memory (LSTM) neural network. …”
Get full text

Research on lightweight tunnel cable fire recognition algorithm based on multi-scale features by Zimeng Liu, Lei Zhang, Huiqiang Ma, Xuebing Chen, Molin Zhang

Get full text

Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features by Zhou Lu, Zhou Lu, Jiaojiao Sha, Xunxia Zhu, Xiaoyong Shen, Xiaoyu Chen, Xin Tan, Rouyan Pan, Shuyi Zhang, Shi Liu, Tao Jiang, Jiatuo Xu

“…This study aimed to develop a nomogram based on acoustic–clinical features—a tool that could significantly enhance the clinical prediction of lung cancer.MethodsWe reviewed the voice data and clinical information of 350 individuals: 189 pathologically confirmed lung cancer patients and 161 non-lung cancer patients, which included 77 patients with benign pulmonary lesions and 84 healthy volunteers. …”
Get full text

Winter Wheat Nitrogen Content Prediction and Transferability of Models Based on UAV Image Features by Jing Zhang, Gong Cheng, Shaohui Huang, Junfang Yang, Yunma Yang, Suli Xing, Jingxia Wang, Huimin Yang, Haoliang Nie, Wenfang Yang, Kang Yu, Liangliang Jia

“…These findings established an effective framework for UAV-based PNC monitoring, demonstrating that fused spectral–textural features with FP-trained XGboost can achieve both high accuracy and practical transferability, offering valuable decision-support tools for precision nitrogen management in different farming systems.…”
Get full text

Automatic Annotation of Map Point Features Based on Deep Learning ResNet Models by Yaolin Zhang, Zhiwen Qin, Jingsong Ma, Qian Zhang, Xiaolong Wang

Get full text

Detecting sand gradation based on the two-dimensional sand particle features in sand images by Chuanyun Xu, Heng Wang, Yang Zhang, Song Sun, Gang Li

“…By extracting these sand particle features to train a network model and combining a threshold division strategy, sand gradation detection is performed. …”
Get full text

Deepfake Detection Model Based on Combined Features Extracted from Facenet and PCA Techniques by Duha Amir Al_Dulaimi, Laheeb Ibrahim

“…In this work, we proposed a new model to detect deepfakes based on a hybrid approach for feature extraction by using 128-identity features obtained from facenet_CNN combined with most powerful 10-PCA features. …”
Get full text