Neural Networks for Operational SYM‐H Forecasting Using Attention and SWICS Plasma Features by Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid

“…Abstract In this work, we present an Artificial Neural Network for operational forecasting of the SYM‐H geomagnetic index up to 2 hr ahead using the Interplanetary Magnetic Field, the solar wind plasma features and previous SYM‐H values. …”
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Optical Flow Magnification and Cosine Similarity Feature Fusion Network for Micro-Expression Recognition by Heyou Chang, Jiazheng Yang, Kai Huang, Wei Xu, Jian Zhang, Hao Zheng

“…Additionally, an enhanced MobileNetV3-based feature extraction module, incorporating Kolmogorov–Arnold networks and convolutional attention mechanisms, effectively captures both global and local features from optical flow images. …”
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A feature-level ensemble machine learning approach for attack detection in IoT networks by Firoz Khan, B. S. Sunil Kumar, Sangeeta Sangani

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Optimal Features Driven Attention Network With Medium-Scale Benchmark for Wheat Diseases Recognition by Muhammad Islam, Mohammed Aloraini, Shabana Habib, Meshari D. Alanazi, Ishrat Khan, Aqib Khan

“…However, the literature relied on inadequate feature selection acquired from computationally expensive backbones followed by shallow layered networks. …”
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Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification by Ida A. P. A. Crisdayanti, Sung Woo Nam, Seong Kwan Jung, Seong-Eun Kim

“…<italic>Methods:</italic> We developed a deep convolutional neural network (CNN) model that utilizes spectrographic representations of respiratory sounds within an image classification framework. …”
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A Lightweight Network for UAV Multi-Scale Feature Fusion-Based Object Detection by Sheng Deng, Yaping Wan

“…To capture multi-scale object information, a Multi-Scale Cross-Axis Attention (MSCA) mechanism is embedded within the backbone network. The neck network integrates a Multi-Scale Fusion Block (MSFB) to combine multi-level features, further boosting detection precision. …”
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Enhancing Security in Industrial IoT Networks: Machine Learning Solutions for Feature Selection and Reduction by Ahmad Houkan, Ashwin Kumar Sahoo, Sarada Prasad Gochhayat, Prabodh Kumar Sahoo, Haipeng Liu, Syed Ghufran Khalid, Prince Jain

“…Six machine learning algorithms&#x2014;Decision Trees, k-nearest neighbors, Gaussian Support Vector Machine, Neural Network, Support Vector Machines kernel, and Logistic Regression Kernel&#x2014;were evaluated for both binary and multi-class classification using feature sets of 4, 12, 23, 50, and 79 features. …”
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A lightweight YOLO network using temporal features for high-resolution sonar segmentation by Sen Gao, Sen Gao, Wei Guo, Wei Guo, Gaofei Xu, Gaofei Xu, Ben Liu, Ben Liu, Yu Sun, Bo Yuan

“…Current segmentation methods often struggle to balance processing speed with accuracy.MethodsWe propose a novel YOLO-based segmentation framework featuring: (1) A lightweight backbone(ghostnet) network optimized for sonar imagery processing (2) A bypass BiLSTM network for temporal feature learning across consecutive frames. …”
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Intelligent recognition method for urban road grid patterns by fusing mesh and road features by Zhekun Huang, Haizhong Qian, Zhongxiang Cai, Andong Wang, Junwei Wang, Feng Xiong

“…Then, the research focus is refined to the road segment level, where the preliminary results are optimized by extracting the geometric and directional features of the road segments. This method significantly outperformed methods based on single research objects across several evaluation metrics, with a performance improvement ranging from 0.79–44.87%. …”
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Trust evaluation based on evidence theory in online social networks by Jian Wang, Kuoyuan Qiao, Zhiyong Zhang

“…Trust is an important criterion for access control in the field of online social networks privacy preservation. In the present methods, the subjectivity and individualization of the trust is ignored and a fixed model is built for all the users. …”
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Battery Life Evaluation Method Based on Temporal Convolution Network by SUN Yushu, AN Juan, HUANG Cunqiang, ZHANG Shunzhen, DANG Yanyang, PEI Wei, TANG Xisheng

“…ObjectiveTo improve the technical economy of battery system applications, a temporal convolutional network (TCN) is employed to evaluate battery life from two perspectives: State of health (SOH) and remaining useful life (RUL). …”
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Foreground and Background Interaction Fusion Network for Camouflaged Object Detection by WEI Mingjun, LIU Ming, LIU Yazhi, LI Hui

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Evaluation of Bayesian network scoring functions in polychotomous data analysis by Xuejia Ke, Katherine Keenan, V. Anne Smith

“…Among these, the BDe scoring function requires specifying hyperparameters that influence the priors on the network parameters. This study evaluates the performance of four scoring functions—AIC, BIC, BDe, and log-likelihood—particularly with highly polychotomous data. …”
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Evaluating the efficacy of fuzzy Bayesian networks for financial risk assessment by Xiong Tingyan, Liu Zeping, Zhang Minghong

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SHAP Informed Neural Network by Jarrod Graham, Victor S. Sheng

“…Despite computational challenges, these methods provide a foundation for exploring how feature importance can inform neural network training, presenting promising directions for future research on scalable and efficient optimization techniques.…”
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A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models by Jose Antonio Lagares Rodríguez, Norberto Díaz-Díaz, Carlos David Barranco González

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Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers by Raja Azlina Raja Mahmood, AmirHossien Abdi, Masnida Hussin

“…Feature selection finds the most relevant features, thus reduces the dimensionality and complexity to analyze the network traffic.  …”
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Importance Evaluation of Power Grid Transmission Lines Based on Multidimensional Information Feature Mapping by Keji Chen, Yingqi Tie, Maohua Li

“…To address the limitations in existing transmission line evaluation methods, such as reliance on single evaluation metrics, insufficient consideration of information transmission between adjacent lines, and the impact of line failures on system load loss, this paper proposes a comprehensive evaluation method based on multidimensional information feature mapping. …”
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Demand response potential evaluation based on feature fusion with expert knowledge and multi‐image by Jiale Liu, Xinlei Cai, Zijie Meng, Xin Jin, Zhangying Cheng, Tingzhe Pan

“…Additionally, the typical load profile's recurrence plot, Markov leapfrog field, and Gramian angle field are created and incorporated into the colourful image as inputs. Then, the evaluation results are obtained by a two‐stream neural network fusing multivariate features. …”
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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. …”
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