Combined Use of Spectral and Structural Features for Improved Early Detection of Pine Shoot Beetle Attacks in Yunnan Pines by Yujie Liu, Youqing Luo, Run Yu, Lili Ren, Qi Jiang, Shaoshun He, Xinqiang Chen, Guangzhao Yang

Get full text

Biomass prediction of Typha latifolia on a paludiculture site by combining structural and spectral features from UAS data by Christina Hellmann, Bernd Bobertz, Fabian Hübner, Nora Köhn, Jürgen Kreyling, Sebastian van der Linden

Get full text

Effective Epileptic Seizure Detection with Hybrid Feature Selection and SMOTE-Based Data Balancing Using SVM Classifier by Hany F. Atlam, Gbenga Ebenezer Aderibigbe, Muhammad Shahroz Nadeem

“…The proposed model aims to improve the accuracy and reliability of seizure detection systems by addressing data imbalance and extracting discriminative features from electroencephalograms (EEG) signals. …”
Get full text

Aspect-Level Sentiment Analysis Based on Position Features Using Multilevel Interactive Bidirectional GRU and Attention Mechanism by Xiaodi Wang, Xiaoliang Chen, Mingwei Tang, Tian Yang, Zhen Wang

“…Considering position features between words into the models can improve the accuracy of sentiment classification. …”
Get full text

A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition by Mokhtar Ali, Abdelkerim Souahlia, Abdelhalim Rabehi, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem

“…A comparative evaluation of the models indicates that recurrent neural networks, particularly GRU and LSTM, deliver superior performance across various metrics, including RMSE, MAE, nRMSE, nMAE, R², and the correlation coefficient. …”
Get full text

AHN-YOLO: A Lightweight Tomato Detection Method for Dense Small-Sized Features Based on YOLO Architecture by Wenhui Zhang, Feng Jiang

“…When confronted with real-world challenges such as diverse disease morphologies, complex backgrounds, and subtle feature variations, these models often exhibit insufficient robustness. …”
Get full text

Crude Oil and Hot-Rolled Coil Futures Price Prediction Based on Multi-Dimensional Fusion Feature Enhancement by Yongli Tang, Zhenlun Gao, Ya Li, Zhongqi Cai, Jinxia Yu, Panke Qin

“…In addition, the significance and stability of the model performance were verified by statistical methods such as a paired t-test and ANOVA analysis of variance. …”
Get full text

Triple-Stream Deep Feature Selection with Metaheuristic Optimization and Machine Learning for Multi-Stage Hypertensive Retinopathy Diagnosis by Süleyman Burçin Şüyun, Mustafa Yurdakul, Şakir Taşdemir, Serkan Biliş

“…In the second stage, the deep features obtained from these three models were combined and classified using machine learning (ML) algorithms including Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost). …”
Get full text

Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization by Prabhat Kumar Sahu, Taiyaba Fatma

“…The classifiers employed include Random Forest, Support Vector Machine (SVM), Gradient Boosting, and Logistic Regression, which were further refined using GridSearchCV, RandomizedSearchCV, and Optuna, with 3-fold cross-validation implemented to ensure robust evaluation of model performance. The novelty of this work lies in integrating advanced feature selection methods with Optuna-driven optimization and ensemble learning strategies to achieve superior accuracy. …”
Get full text

Estimating the Material Footprint at the National Level from 1993 to 2022 Based on Multi-Feature CNN-BiLSTM by Lizhi Miao, Yannan Wang, Kaiwen Wu, Lei Huang, Mei-Po Kwan

“…In this research, we conducted a time series prediction of material footprint using the Multi-Feature CNN-BiLSTM model and analyzed the material footprints of 77 countries or regions as well as four types of influencing factors from 1993 to 2022. …”
Get full text

GCML: Geometric Correlation Encoding Network With Multi-Scale Local Feature Extraction for Accurate Point Cloud Registration by Jinlei Zhuang, Ziteng Wang, Weiqiang Ma

“…While detector-free methods exhibit outstanding accuracy, they only encode simple geometric features of point clouds while failing to comprehensively model rich geometric correlations between points. …”
Get full text

TFA-Net: A Temporal Feature Aggregation Framework for Tropical Cyclone Intensity Estimation From Satellite Images by Zhitao Zhao, Zheng Zhang, Qiao Wang, Linli Cui, Ping Tang

“…Experimental results show that the estimation performance is improved through our model's in-depth consideration of the temporal continuity of TC. …”
Get full text

Novel accurate classification system developed using order transition pattern feature engineering technique with physiological signals by Mehmet Ali Gelen, Prabal Datta Barua, Irem Tasci, Gulay Tasci, Emrah Aydemir, Sengul Dogan, Turker Tuncer, U. R. Acharya

“…These results demonstrate high performance and clear interpretability, highlighting the model’s potential for robust biomedical signal classification.…”
Get full text

Research on Underwater Acoustic Target Recognition Based on a 3D Fusion Feature Joint Neural Network by Weiting Xu, Xingcheng Han, Yingliang Zhao, Liming Wang, Caiqin Jia, Siqi Feng, Junxuan Han, Li Zhang

“…This paper proposes a novel deep neural network model for underwater target recognition, which integrates 3D Mel frequency cepstral coefficients (3D-MFCC) and 3D Mel features derived from ship audio signals as inputs. …”
Get full text

Multi-Scale Feature Fusion GANomaly with Dilated Neighborhood Attention for Oil and Gas Pipeline Sound Anomaly Detection by Yizhuo Zhang, Zhengfeng Sun, Shen Shi, Huiling Yu

“…MFDNA-GANomaly achieved 92.06% AUC, 93.96% Accuracy, and 0.955 F1-score on the test set, demonstrating that the proposed method can effectively enhance pipeline anomaly detection performance. Additionally, MFDNA-GANomaly exhibited competitive performance on the ToyTrain and Bearing subsets of the development dataset in the DCASE Challenge 2023 Task 2, confirming the generalization capability of the model.…”
Get full text

MANET Routing Protocols’ Performance Assessment Under Dynamic Network Conditions by Ibrahim Mohsen Selim, Naglaa Sayed Abdelrehem, Walaa M. Alayed, Hesham M. Elbadawy, Rowayda A. Sadek

“…The simulations utilized the Random Waypoint Mobility model to mimic dynamic node movement and evaluated key performance metrics, including network load, throughput, delay, energy consumption, jitter, packet loss rate, and packet delivery ratio. …”
Get full text

VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

“…Unlike traditional models, this feature extraction enhances classification accuracy and robustness. …”
Get full text

PMSFF: Improved Protein Binding Residues Prediction through Multi-Scale Sequence-Based Feature Fusion Strategy by Yuguang Li, Xiaofei Nan, Shoutao Zhang, Qinglei Zhou, Shuai Lu, Zhen Tian

“…Firstly, PMSFF employs a pre-trained language model named ProtT5, to encode amino acid residues in protein sequences. …”
Get full text

A reliable NLOS error identification method based on LightGBM driven by multiple features of GNSS signals by Xiaohong Zhang, Xinyu Wang, Wanke Liu, Xianlu Tao, Yupeng Gu, Hailu Jia, Chuanming Zhang

“…Finally, we introduce the LightGBM model to establish an effective correlation between signal features and satellite visibility and adopt a multifeature-driven scheme to achieve reliable identification of NLOSs. …”
Get full text

LCD-Net: A Lightweight Remote Sensing Change Detection Network Combining Feature Fusion and Gating Mechanism by Wenyu Liu, Jindong Li, Haoji Wang, Run Tan, Yali Fu, Qichuan Tian

“…To address these challenges, we propose a lightweight remote sensing change detection network (LCD-Net) that reduces model size and computational cost while maintaining high detection performance. …”
Get full text