Bibliometric analysis of current trends and emerging patterns in the application of nanomaterials for non-small cell lung cancer by Shanshan Cai, Weichang Yang, Hongquan Xing, Jiale Yang, Hongdan Luo, Xiaoqun Ye

“…Most publications are featured in The International Journal of Nanomedicine. …”
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Particle flux–gradient relationships in the high Arctic: emission and deposition patterns across three surface types by T. Mathes, H. Guy, H. Guy, J. Prytherch, J. Kojoj, I. Brooks, S. Murto, P. Zieger, B. Wehner, M. Tjernström, A. Held

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Detecting Malware C&C Communication Traffic Using Artificial Intelligence Techniques by Mohamed Ali Kazi

“…These feature selection algorithms are also compared with a manual feature selection approach to determine whether a manual, automated, or hybrid feature selection approach would be more suitable for this type of problem.…”
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DISORDERS OF EXTERNAL RESPIRATION AND THEIR IMPACT ON THE CLINICAL OUTCOME IN THE PATIENTS UNDERGOING CARDIAC SURGERY by D. N. Ponomarev, O. V. Kamenskaya, A. S. Klinkova, I. Yu. Loginova, I. A. Kornilov, V. A. Shmyrev, V. V. Lomivorotov

“…The pattern was evaluated as obstructive with the ratio of FEV1 /FVLC < 0.70; and the restrictive pattern was the combination of FEV1 /FVLC≥ 0.70 and FVLC < 80% of "must". …”
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X-FASNet: cross-scale feature-aware with self-attention network for cognitive decline assessment in Alzheimer's disease by Wenhui Chen, Shunwu Xu, Yiran Peng, Yiran Peng, Hong Zhang, Jian Zhang, Huaihao Zheng, Hao Yan, Zhaowen Chen, Zhaowen Chen

“…The proposed architecture implements a dual-pathway multi-scale feature extraction approach to identify discriminative neuroanatomical patterns across various spatial resolutions, while integrating a novel cross-scale feature-aware self-attention module that enhances inter-scale information exchange and captures long-range dependencies. …”
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Real-Time Long-Wave Infrared Semantic Segmentation With Adaptive Noise Reduction and Feature Fusion by Haejun Bae, Dong-Goo Kang, Minhye Chang, Kye Young Jeong, Byung Cheol Song

“…However, LWIR images often suffer from inherent pattern noise (known as fixed-pattern noise) and ambiguous object boundaries that hinder accurate segmentation. …”
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Dipole reversal: an ictal feature in a patient with benign partial epilepsy of childhood with centrotemporal spike by Délrio F. Silva, Márcia Marques Lima, Renato Anghinah, Edma R Zanoteli, José Geraldo C. Lima

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Research on Feature Extraction of Indicator Card Data for Sucker-Rod Pump Working Condition Diagnosis by Yunhua Yu, Haitao Shi, Lifei Mi

“…Three feature extraction methods of sucker-rod pump indicator card data have been studied, simulated, and compared in this paper, which are based on Fourier Descriptors (FD), Geometric Moment Vector (GMV), and Gray Level Matrix Statistics (GLMX), respectively. …”
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Spectrogram-Based Arrhythmia Classification Using Three-Channel Deep Learning Model with Feature Fusion by Alaa Eleyan, Fatih Bayram, Gülden Eleyan

“…This spectrogram is further processed to generate a histogram of oriented gradients (HOG) and local binary pattern (LBP) features. Three separate 2D convolutional neural networks (CNNs) then analyze these three image representations in parallel. …”
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Integrated analysis and experimental validation reveal the prognostic and immunological features associated with coagulation in hepatocellular carcinoma by Guangzhen Qu, Kun Liu, Weiyu Xu, Dongming Li

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Status and serological features of occult hepatitis B virus infection among blood donors in Xuzhou by LIU Jiahui, WANG Bei, ZHOU Liling

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Hybrid Transform-Based Feature Extraction for Skin Lesion Classification Using RGB and Grayscale Analysis by Luis Felipe López-Ávila, Josué Álvarez-Borrego

“…Texture information for each channel is also obtained based on the Local Binary Pattern (<i>LBP</i>) technique. The proposed hybrid transform-based feature extraction was applied to multiple lesion classes using the International Skin Imaging Collaboration (ISIC) 2019 dataset, preprocessed with data augmentation. …”
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Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and Architectures by Edwin Salcedo

“…This paper reports the state of the art in gait data acquisition modalities, feature representations, models, and architectures for CVGR systems suitable for edge computing. …”
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The Detection and Classification of Grape Leaf Diseases with an Improved Hybrid Model Based on Feature Engineering and AI by Fatih Atesoglu, Harun Bingol

“…The most well-known convolutional neural network (CNN) architectures, texture-based Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG) methods, Neighborhood Component Analysis (NCA), feature reduction methods, and machine learning (ML) techniques are the methods used in this article. …”
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A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data by Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang, Junkui Xu

“…This approach enables the extraction of general shape features applicable to both line and polygon elements, generating high-dimensional embedded feature vectors. …”
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Research on Fault Feature Extraction Method for Hydroelectric Generating Unit Based on Improved FMD and CDEI by Tao Wu, Haipeng Gong, Zaiming Geng, Jian Deng, Fang Yuan

“…The essence of fault diagnosis for hydroelectric generating units is pattern recognition. To achieve high recognition accuracy, it is necessary to maximize the distinguishability of different fault features. …”
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Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines by Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang

“…The study also systematically identified the essential and pattern characteristics of the dust time series data and utilized the variational mode decomposition (VMD) with Golden Jackal Optimization (GJO) to decompose the original dust concentration data. …”
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Multimodal Contrastive Learning for Remote Sensing Image Feature Extraction Based on Relaxed Positive Samples by Zhenshi Zhang, Qiujun Li, Wenxuan Jing, Guangjun He, Lili Zhu, Shijuan Gao

“…Traditional multimodal contrastive learning brings text and its corresponding image closer together as a positive pair, where the text typically consists of fixed sentence structures or specific descriptive statements, and the image features are generally global features (with some fine-grained work using local features). …”
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Modeling inter-city population flows: a Deep Radiation model with multisource geographic features by Jingjing Liu, Lei Xu, Le Ma, Chao Wang, Nengcheng Chen

“…While the radiation model provides an interpretable framework by focusing on opportunity distribution rather than physical distance, it struggles with nonlinear migration patterns and relies solely on population size as its input. …”
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Electrocardiographic features suggesting mild myocarditis in the white athletes population during the covid-19 pandemic by Piotr Kosiorek, Renata Brycka-Safrończyk, Juliusz Kosel, Dorota Waloch

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