ADHD detection from EEG signals using GCN based on multi-domain features by Ling Li, Xueyang Guo, Zihan Yang, Yanping Zhao, Xu Liu, Junxian Yang, Yanyan Chen, Xinxian Peng, Lina Han

“…First, time-domain and frequency-domain features are extracted via long short-term memory (LSTM) and convolutional neural network (CNN) models, respectively. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…MTEPN is built upon the CSPDarkNet network, which is employed to extract fundamental features from traffic scene images. …”
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Fault Diagnosis of Spindle Device in Hoist Using Variational Mode Decomposition and Statistical Features by Jun Gu, Yuxing Peng, Hao Lu, Shuang Cao, Bobo Cao

“…Comparisons have gone to evaluate the performance of rolling bearing defect by using EMD (Empirical Mode Decomposition), MEEMD (Modified Ensemble EMD), BP (Back Propagation) network, single or multiple statistical characteristics, and different motor loads. …”
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Pipeline and Rotating Pump Condition Monitoring Based on Sound Vibration Feature-Level Fusion by Yu Wan, Shaochen Lin, Yan Gao

“…Moreover, a convolutional neural network (CNN)-derived feature set is established based on a one-dimensional CNN (1D CNN). …”
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Capturing Fine-Grained Food Image Features Through Iterative Clustering and Attention Mechanisms by Wei He, Mengmeng Liu, Qingqi Liang

“…We believe that effective food image recognition requires exploiting the characteristics of food images, with color playing a dominant role in feature extraction. This paper proposes a novel color-cluster attention network model for food recognition, which integrates Kohonen networks-based clustering methods with iterative feature refinement. …”
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Advanced heart disease classification based on multi-channel heart sound coupling features. by Yu Fang, Dongbo Liu, Zijian Guo, Hongxia Leng, Xing Liu, Xiaochen Wu

“…The ReliefF algorithm is then used to evaluate feature importance, retaining the top 20% of features to construct a coupling feature set. …”
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RETRACTED ARTICLE: Multi-stage biomedical feature selection extraction algorithm for cancer detection by Ismail Keshta, Pallavi Sagar Deshpande, Mohammad Shabaz, Mukesh Soni, Mohit kumar Bhadla, Yasser Muhammed

“…Using a variety of metrics, including a comparison of classification results before and after feature selection and the performance of alternative feature selection methods, we evaluate MBDFS's efficacy. …”
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Boundaries extraction and features recognition of metro station catchment area: the perspective of cognition and perception by Jiaqi Zhao, Qinghuai Liang, Jiaao Guo, Lei Huang

“…Extracting boundaries and recognizing features of metro station catchment area (MSCA) are crucial for rational urban and transportation planning. …”
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Multi-View Stereo Using Perspective-Aware Features and Metadata to Improve Cost Volume by Zongcheng Zuo, Yuanxiang Li, Yu Zhou, Fan Mo

“…Finally, we crafted a specific 2D CNN that fuses image priors, thereby integrating keyframes and geometric metadata within the cost volume to evaluate depth planes. Our method represents the first attempt to embed the existing physical model knowledge into a network for completing MVS tasks, which achieved optimal performance using multiple benchmark datasets.…”
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Developing a hybrid feature selection method to detect botnet attacks in IoT devices by Alshaeaa H.Y., Ghadhban Z.M., Ministry of Education, Iraq

“…The proposed system was evaluated using several performance metrics. The results showed the correlation feature selection method had the most accurate botnet attack detection rate. …”
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Detection Method for Three-Phase Electricity Theft Based on Multi-Dimensional Feature Extraction by Wei Bai, Lan Xiong, Yubei Liao, Zhengyang Tan, Jingang Wang, Zhanlong Zhang

“…This methodology leverages both the Catch22 feature set and complementary features to extract sequential features, subsequently employing convolutional networks and the Transformer architecture to discern various types of theft behaviors. …”
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Automatic Annotation of Map Point Features Based on Deep Learning ResNet Models by Yaolin Zhang, Zhiwen Qin, Jingsong Ma, Qian Zhang, Xiaolong Wang

“…According to the evaluation, the ResNet model’s test set accuracy was 97.08%, demonstrating its ability to locate the point feature label in the right place. …”
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The role of transposable elements in the ecological morphogenesis under the influence of stress by R. N. Mustafin, E. K. Khusnutdinova

“…These genes contain nucleotide sequences that interact with non-coding RNAs processed from transposons transcripts, and therefore they are under the control of epigenetic regulatory networks involving transposons. Therefore, inherited features of the location and composition of transposons, along with a change in the phenotype, play an important role in the characteristics of responding to a variety of environmental stressors. …”
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Learning Distinctive Feature Representation for Descriptors on Multimodal Images by Incorporating Multiple Negative Samples by Bohan Li, Yixuan Li, Yong Li, Guohan Zhang

“…In the past, many methods were proposed that either employed handcrafted features or deep neural networks to learn the feature representation. …”
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A feature explainability-based deep learning technique for diabetic foot ulcer identification by Pramod Singh Rathore, Abhishek Kumar, Amita Nandal, Arvind Dhaka, Arpit Kumar Sharma

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Evolution and model prediction of mechanical ventilation temperature field in high-geotemperature tunnels: Experimental analysis and machine learning by Feng Huang, Song Wang, Shuping Jiang, Dong Yang, Zheng Hu, Aichen Zheng

“…On this basis, taking the historical monitoring data of the tunnel test as input parameters, a method for predicting the ambient temperature of high-geotemperature tunnels ventilation is proposed, which integrates convolutional neural network (CNN) and bidirectional long short-term memory network (BiLSTM). …”
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Refined Anchor-Free Model With Feature Enhancement Mechanism for Ship Detection in Infrared Images by Yunlong Gao, Chuan Wu, Ming Ren, Yang Feng

“…First, we redesign the network of YOLOv8 as the anchor-free detection model, aiming to perform the best multiscale detection accuracy and running speed. …”
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Fluctuating ecological networks: A synthesis of maximum‐entropy approaches for pattern detection and process inference by Tancredi Caruso, Giulio Virginio Clemente, Matthias C. Rillig, Diego Garlaschelli

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Multi-Neighborhood Sparse Feature Selection for Semantic Segmentation of LiDAR Point Clouds by Rui Zhang, Guanlong Huang, Fengpu Bao, Xin Guo

“…First, a sparse feature regularization method was used to motivate the network model to learn the sparsified feature weight matrix. …”
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A systematic review of features and content quality of Arabic mental mHealth apps by Noorah Ibrahim S. Alnaghaimshi, Noorah Ibrahim S. Alnaghaimshi, Mona S. Awadalla, Scott R. Clark, Mathias Baumert

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