PhotoModPlus: A web server for photosynthetic protein prediction from genome neighborhood features. by Apiwat Sangphukieo, Teeraphan Laomettachit, Marasri Ruengjitchatchawalya

“…The new model performed better than the sequence-based approaches with an F1 measure of 0.872, based on nested five-fold cross-validation. …”
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An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records by Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou, Lijuan Wu

“…As the number of top-ranking features increased, the models’ accuracy began to stabilize, while feature subset stability (considering sample variations) and inter-method feature similarity reached optimal levels, confirming the validity of the FS framework. …”
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Detection of Typical Transient Signals in Water by XGBoost Classifier Based on Shape Statistical Features: Application to the Call of Southern Right Whale by Zemin Zhou, Yanrui Qu, Boqing Zhu, Bingbing Zhang

“…The integration of these features significantly enhances model performance, promoting the broader application of marine acoustic remote sensing technologies. …”
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Machine learning-based feature selection for ultra-high-dimensional survival data: a computational approach by Nahid Salma, Majid Khan Majahar Ali, Raja Aqib Shamim

“…Despite SCAD’s strong performance, it left 31% of data variability unexplained, suggesting hybrid ML models that integrate ensemble learning, two-component regression structures, and deep learning-based feature selection could further enhance gene selection and predictive accuracy. …”
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Winter Wheat SPAD Prediction Based on Multiple Preprocessing, Sequential Module Fusion, and Feature Mining Methods by Ying Nian, Xiangxiang Su, Hu Yue, Sumera Anwar, Jun Li, Weiqiang Wang, Yali Sheng, Qiang Ma, Jikai Liu, Xinwei Li

“…The model performed best in 2022, with an R² of 0.84–0.89 and RMSE of 4.51–6.74. …”
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Automatic Extraction of Water Body from SAR Images Considering Enhanced Feature Fusion and Noise Suppression by Meijun Gao, Wenjie Dong, Lifu Chen, Zhongwu Wu

“…The encoder utilizes ResNet-101 as the backbone network to generate four-level features of different resolutions. In the middle-level feature fusion stage, the Attention Feature Fusion module (AFFM) is presented for multi-scale feature learning to improve the performance of fine water segmentation. …”
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Exploring Transfer Learning for Anthropogenic Geomorphic Feature Extraction from Land Surface Parameters Using UNet by Aaron E. Maxwell, Sarah Farhadpour, Muhammad Ali

“…We suggest that pre-trained models developed using large, image-based datasets may be of value for anthropogenic geomorphic feature extraction from LSPs even given the data and task disparities. …”
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Photovoltaic fault detection algorithm using ensemble learning enhanced with deep neural network feature engineering by Maryam Parvin, Hossein Yousefi, Behnam Mohammadi-Ivatloo

“…A Hybrid metaheuristic grey wolf/particle swarm optimization algorithm was implemented to extract the optimum values of the empirical constants of the power forecast model. The fault classification was conducted in the second stage using the optimum EL algorithm enhanced with Deep Neural Network (DNN) feature extraction. …”
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A systematic literature review of diabetes prediction using metaheuristic algorithm-based feature selection: Algorithms and challenges method by Sirmayanti, Pulung Hendro PRASTYO, Mahyati, Farhan RAHMAN

“…Nevertheless, performance issues are still a substantial challenge in model building. …”
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Using Segmentation to Boost Classification Performance and Explainability in CapsNets by Dominik Vranay, Maroš Hliboký, László Kovács, Peter Sinčák

“…These results demonstrate a significant performance improvement over traditional CapsNet and CNN models. …”
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Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma by Linyan Chen, Yang Li, Zhiyuan Zhang, Tongshu Yang, Hao Zeng

“…Furthermore, the integrated models of histopathological image features and omics data increased the accuracy of prognosis prediction, especially the multi-platform model that combined all types of features (5-year AUC = 0.904). …”
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Prognostic and tumor microenvironmental features of gastric cancer revealed by macrophage polarization and protein lactylation-related genes by Zifan Xu, Zifan Xu, Zi Lei, Shilan Peng, Sha Li, Dehui Kong, Hongqiong Duan, Man Zhang, Guomiao Su, Guoqing Pan

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Forecasting Inland Waterway Container on Barge Volume: A Machine Learning Approach Using Economic Features by Fan Bu, Heather Nachtmann

“…This study presents a machine learning approach to predict Container-on-Barge (COB) volume in Inland Waterway Transportation (IWT) systems, focusing exclusively on using economic features as predictors. Five machine learning models were trained using European economic features to forecast COB volume, while historical COB volume was used solely for validation and hyperparameter tuning. …”
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Real-Time Landform Feature Detection and Segmentation Based on Heterogeneous MPSoCs for Lunar Robotic Exploration by Q. Fan, R. Duan, B. Wu, H. Zhou, S. Zhang, Y. Ma

“…In this paper, we present neural network inference accelerators using Vitis-AI on an FPGA heterogeneous MPSoC for lunar landform analysis, including landform feature detection and segmentation. Feature detection is implemented by the YOLOv5s-MobileNetV2 network, and segmentation is based on a Feature Pyramid Network (FPN). …”
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Evaluating the effectiveness of facial actions features for the early detection of driver drowsiness in driving safety monitoring system by Yenny Rahmawati, Kuntpong Woraratpanya, Igi Ardiyanto, Hanung Adi Nugroho

“…The system’s performance was evaluated by comparing the use of these features as indicators of driver drowsiness. …”
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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

“…Evaluation metrics showed that prediction accuracy increased significantly with crafted features in comparison to basic features for all four models. …”
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A Robust Gaze Estimation Approach via Exploring Relevant Electrooculogram Features and Optimal Electrodes Placements by Zheng Zeng, Linkai Tao, Hangyu Zhu, Yunfeng Zhu, Long Meng, Jiahao Fan, Chen Chen, Wei Chen

“…Subsequently, a comparative analysis of the impacts of electrode placement and feature contributions on gaze estimation is evaluated via 6 classic models with 18 subjects. …”
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Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics by Jihan Wang, Zhengxiang Zhang, Yangyang Wang

“…This review examines how feature selection techniques address these challenges by improving the interpretability and performance of machine learning (ML) models in high-dimensional datasets. …”
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Cost-sensitive regression learning on small dataset through intra-cluster product favoured feature selection by Fangfang Xu, Huan Zhao, Weihua Zhou, Yun Zhou

“…The experimental results show that the ICPF algorithm significantly reduces the number of dimensions of the selected feature set and improves the performance of cost-sensitive regression learning. …”
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CMHFE-DAN: A Transformer-Based Feature Extractor with Domain Adaptation for EEG-Based Emotion Recognition by Manal Hilali, Abdellah Ezzati, Said Ben Alla

“…EEG-based emotion recognition (EEG-ER) through deep learning models has gained more attention in recent years, with more researchers focusing on architecture, feature extraction, and generalisability. …”
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