Data Compactness Versus Prediction Performance: Achieving Both by Pruning Redundant Samples With Dominant Patterns and Hamming Distance Based Sampling Scheme by Abdul Majeed, Seong Oun Hwang

“…Our sampling scheme has five key steps: data pre-processing, dominant pattern extraction by exploiting correlations between features, Hamming distance-based data classification into diverse and less diverse parts, data clustering for redundant-sample pruning from less diverse parts, and fine-tuning/synthesizing the final data. …”
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A Global Review of Monitoring Cropland Abandonment Using Remote Sensing: Temporal–Spatial Patterns, Causes, Ecological Effects, and Future Prospects by Tao Liu, Le Yu, Xiaoxuan Liu, Dailiang Peng, Xin Chen, Zhenrong Du, Ying Tu, Hui Wu, Qiang Zhao

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Spatiotemporal Distribution and Dispersal Pattern of Early Life Stages of the Small Yellow Croaker (<i>Larimichthys Polyactis</i>) in the Southern Yellow Sea by Xiaojing Song, Fen Hu, Min Xu, Yi Zhang, Yan Jin, Xiaodi Gao, Zunlei Liu, Jianzhong Ling, Shengfa Li, Jiahua Cheng

“…In addition, there are variations in distribution patterns among different developmental stages. <i>Larimichthys polyactis</i> spawn in the inshore and nearshore waters, and after hatching, larvae in the pre-flexion stage tend to remain aggregated near the spawning beds. …”
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Spatial patterns and MRI-based radiomic prediction of high peritumoral tertiary lymphoid structure density in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Lan Zhou, Shichao Long, Mengsi Li, Linhui Zhong, Aerzuguli Abudulimu, Wenguang Liu, Deng Pan, Ganmian Dai, Yigang Pei, Wenzheng Li

“…Radiomic features were extracted from intratumoral and peritumoral regions of interest and analyzed using machine learning algorithms to develop a predictive classifier. …”
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Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme by Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk

“…To achieve this, the authors developed a feature extraction–extension scheme, where the extraction component focuses on obtaining the phase and amplitude of complex numbers through fast Fourier transform (FFT) and the extension component expands the time intervals by enriching them with the corresponding frequency characteristics of each individual time point. …”
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Daily Activity Patterns and Overlap Activity of Medium–Large Mammals in Sülüklü Lake Nature Park, Western Black Sea Region, Türkiye by Fehmi Yildiz, Ali Uzun

“…However, information on these mammals' activity patterns and co‐occurrence, specifically in Türkiye, is limited. …”
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Online Reviews Meet Visual Attention: A Study on Consumer Patterns in Advertising, Analyzing Customer Satisfaction, Visual Engagement, and Purchase Intention by Aura Lydia Riswanto, Sujin Ha, Sangho Lee, Mahnwoo Kwon

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Recognition Number of The Vehicle Plate Using Otsu Method and K-Nearest Neighbour Classification by Maulidia Rahmah Hidayah, Isa Akhlis, Endang Sugiharti

“…The method of this research was Otsu method to extract the characteristics and image of the plate into binary image and KNN as recognition classification method of each character. The development of the license plate recognition program by using Otsu method and classification of KNN is following the steps of pattern recognition, such as input and sensing, pre-processing, extraction feature Otsu method binary, segmentation, KNN classification method and post-processing by calculating the level of accuracy. …”
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Circadian Regulator-Mediated Molecular Subtypes Depict the Features of Tumor Microenvironment and Indicate Prognosis in Head and Neck Squamous Cell Carcinoma by Ling Aye, Zhanying Wang, Fanghua Chen, Yujun Xiong, Jiaying Zhou, Feizhen Wu, Li Hu, Dehui Wang

“…Moreover, HNSCC tissues displayed three circadian regulator patterns with distinct clinical outcomes, transcriptomic characteristics, and microenvironment features. …”
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Literary Elite in Processes of Socio-Cultural Modernization of Russia in 1830-1850: Main Identificational Features and Peculiarities of Status and Role Identification by T. F. Arzhanykh

“…A clear correlation between the development of public thought and literature, typical for the 19th century, is mentioned. …”
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Analysis of the spatial distribution of the Siberian silk moth outbreak area based on terrain features in the Siberian mountain southern taiga forests by Svetlana M. Sultson, Andrey A. Goroshko, Denis A. Demidko, Pavel V. Mikhaylov, Olga A. Slinkina, Nadezhda N. Kulakova

“…An assessment was conducted of the area of defoliated forests and the relief features of such an area using the ASTER digital elevation model. …”
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Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea. by Injae Seo, Minkyoung Kim, Jong Wook Kim, Beakcheol Jang

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Verification of the person’s dynamic signature on a limited number of samples by V. V. Starovoitov

“…It is constructed using 5&lt;N&lt;20 samples of genuine human signatures. The pattern forms a convex object in a multidimensional feature space. …”
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Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning by Mohammad Hossein Sarkhosh, Mohammad Hossein Sarkhosh, Hadis Edrisnia, Mohammad Reza Raveshi, Mahkame Sharbatdar

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High-Impedance Fault Detection in Electric Power Distribution Network Using Local Pattern Transformation Methods and Bidirectional Long Short–Term Memory by Rini Varghese P, M. S. P. Subathra, S. Thomas George, Geno Peter, Albert Alexander Stonier, Sairamya N, Ananthi A, Vivekananda Ganji

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Immunophenotypic features of bone marrow tumor cell in Burkitt lymphoma/leukemia: B-lineage acute lymphoblastic leukemia diagnostics opportunities by I. A. Demina, T. Yu. Verzhbitskaya, S. A. Kashpor, S. A. Plyasunova, M. E. Dubrovina, L. G. Fechina, N. V. Myakova, E. V. Samochatova, A. A. Maschan, A. M. Popov

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A Feature Selection Method by using Chaotic Cuckoo Search Optimization Algorithm with Elitist Preservation and Uniform Mutation for Data Classification by Le Wang, Yuelin Gao, Jiahang Li, Xiaofeng Wang

“…Feature selection is an essential step in the preprocessing of data in pattern recognition and data mining. …”
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Clinical features of anti-SAE1 antibody-positive myositis and interstitial lung disease: a multicenter, retrospective study in Taiwan by Chao-Yang Hsiao, Chao-Yang Hsiao, Shu-Chi Tseng, Chung-Yuan Hsu, Li-Chung Chiu, Li-Jen Su, Tien-Ming Chan

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Pore–Fracture Structure and Fractal Features of Carboniferous Taiyuan Formation Hydrocarbon Source Rocks as Investigated Using MICP, LFNMR, and FESEM by Dun Wu, Liu Zhao, Guangqing Hu, Wenyong Zhang

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Sodium-dependent phosphate transporter NaPi2b as a candidate for targeted therapy: features of structure, function, and expression by R. G. Kiyamova, R. A. Vlasenkova, L. F. Bulatova

“…The tumor-specific conformation of the large extracellular domain of the NaPi2b transporter, mutations, and features of expression of the transporter gene in normal and pathological conditions show that NaPi2b is a promising target for the development of highly selective targeted drugs against it for the treatment of cancer and metabolic disorders.…”
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