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Journal articles on the topic 'The essential feature'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Duckworth, K. "The end of the essential feature test?" Journal of Intellectual Property Law & Practice 4, no. 5 (2009): 317–19. http://dx.doi.org/10.1093/jiplp/jpp034.

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2

Gerschewski, Johannes. "Legitimacy in Autocracies: Oxymoron or Essential Feature?" Perspectives on Politics 16, no. 3 (2018): 652–65. http://dx.doi.org/10.1017/s1537592717002183.

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Legitimacy is a key concept in political science. It has deep normative roots in democratic theory and refers usually to righteous, just, fair, and therefore acceptable rule. However, non-democracies also try to create a following among their citizens. They also engage in justifying their rule through politicization, be it of religion, ethnicity, or ideologies ranging from left-wing communism to right-wing nationalism. Against this backdrop, I pose the question: does it make sense to use the concept of legitimacy for both types of regimes, democracies and autocracies alike? Or, do we overstret

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Goodarzi, Mohammad, Shreekant Deshpande, Vanangamudi Murugesan, Seturam B Katti, and Yenamandra S Prabhakar. "Is Feature Selection Essential for ANN Modeling?" QSAR & Combinatorial Science 28, no. 11-12 (2009): 1487–99. http://dx.doi.org/10.1002/qsar.200960074.

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4

Dahlberg, Martin, and Åsa Hallqvist Everhov. "Entrapment is an essential feature of sigmoid volvulus." ANZ Journal of Surgery 90, no. 9 (2020): 1540–41. http://dx.doi.org/10.1111/ans.15758.

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Ioniţă, Dorin. "Space – An Essential Feature of the Hybrid War." Land Forces Academy Review 22, no. 1 (2017): 5–9. http://dx.doi.org/10.1515/raft-2017-0001.

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Abstract Hybrid Warfare is an unofficial intellectual construct to describe the combination or integration of conventional and non-conventional approaches used by adversaries to avoid conventional military strengths, often times occurring below the threshold that would trigger a conventional military. The word “hybrid” is used more for its descriptive value to aid concept writers and military planners in understanding the intersection, interaction, and amplification of trends and conditions that impact the scale and scope of military actions. The paper explains the role of space as an essentia

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6

Zhong, Jiancheng, Jianxin Wang, Wei Peng, Zhen Zhang, and Min Li. "A feature selection method for prediction essential protein." Tsinghua Science and Technology 20, no. 5 (2015): 491–99. http://dx.doi.org/10.1109/tst.2015.7297748.

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7

Chen, Lei, ZhanDong Li, ShiQi Zhang, Yu-Hang Zhang, Tao Huang, and Yu-Dong Cai. "Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions." BioMed Research International 2022 (January 13, 2022): 1–11. http://dx.doi.org/10.1155/2022/4035462.

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Methylation is one of the most common and considerable modifications in biological systems mediated by multiple enzymes. Recent studies have shown that methylation has been widely identified in different RNA molecules. RNA methylation modifications have various kinds, such as 5-methylcytosine (m5C). However, for individual methylation sites, their functions still remain to be elucidated. Testing of all methylation sites relies heavily on high-throughput sequencing technology, which is expensive and labor consuming. Thus, computational prediction approaches could serve as a substitute. In this

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Wang, Mengjie, and Weiyang Chen. "Age prediction based on a small number of facial landmarks and texture features." Technology and Health Care 29 (March 25, 2021): 497–507. http://dx.doi.org/10.3233/thc-218047.

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BACKGROUND: Age is an essential feature of people, so the study of facial aging should have particular significance. OBJECTIVE: The purpose of this study is to improve the performance of age prediction by combining facial landmarks and texture features. METHODS: We first measure the distribution of each texture feature. From a geometric point of view, facial feature points will change with age, so it is essential to study facial feature points. We annotate the facial feature points, label the corresponding feature point coordinates, and then use the coordinates of feature points and texture fe

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Hussa, Timo Tero Joonas. "LTE INNOVATION ACTIVITY – CARRIER AGGREGATION FEATURE." REVISTA FOCO 15, no. 1 (2022): e0298. http://dx.doi.org/10.54751/revistafoco.v15n1-016.

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Telecommunications technology development need innovation generation. Often development relates improvements for data transmission rate and latency improvements on radio interface. When building new telecommunications standards where network and mobile station can communicate together irrespective of manufacturer, there is need for standardization where various technical features construct standard specifications. There is investigated LTE standard related features and whether innovation activity has been high for Carrier Aggregation feature. Measurement for innovation activity has kept standa

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Mani Sekhar, Sivagnanam Rajamanickam, Siddesh Gaddadevara Matt, Sunilkumar S. Manvi, and Srinivasa Krishnarajanagar Gopalalyengar. "Identification of Essential Proteins in Yeast Using Mean Weighted Average and Recursive Feature Elimination." Recent Patents on Computer Science 12, no. 1 (2019): 5–10. http://dx.doi.org/10.2174/2213275911666180918155521.

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Background: Essential proteins are significant for drug design, cell development, and for living organism survival. A different method has been developed to predict essential proteins by using topological feature, and biological features. Objective: Still it is a challenging task to predict essential proteins effectively and timely, as the availability of protein protein interaction data depends on network correctness. Methods: In the proposed solution, two approaches Mean Weighted Average and Recursive Feature Elimination is been used to predict essential proteins and compared to select the b

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11

Salvatore, T. "Decreased insulin clearance as a feature of essential hypertension." Journal of Clinical Endocrinology & Metabolism 74, no. 1 (1992): 144–49. http://dx.doi.org/10.1210/jc.74.1.144.

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12

Mukohyama, Shinji. "Non-Locality as an Essential Feature of Brane Worlds." Progress of Theoretical Physics Supplement 148 (2002): 121–27. http://dx.doi.org/10.1143/ptps.148.121.

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13

Atamanalp, Sabri S. "Re: Entrapment is an essential feature of sigmoid volvulus." ANZ Journal of Surgery 90, no. 9 (2020): 1823. http://dx.doi.org/10.1111/ans.15953.

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14

Dahlberg, Martin, and Åsa Hallqvist Everhov. "Re: Entrapment is an essential feature of sigmoid volvulus." ANZ Journal of Surgery 90, no. 9 (2020): 1823–24. http://dx.doi.org/10.1111/ans.16053.

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15

Salvatore, T., D. Cozzolino, R. Giunta, D. Giugliano, R. Torella, and F. D'Onofrio. "Decreased insulin clearance as a feature of essential hypertension." Journal of Clinical Endocrinology & Metabolism 74, no. 1 (1992): 144–49. http://dx.doi.org/10.1210/jcem.74.1.1727814.

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16

Tanvir Ahmed. "Reconsidering Relational Autonomy as an Essential Feature in Bioethics." Bangladesh Journal of Bioethics 15, no. 3 (2024): 24–34. https://doi.org/10.62865/bjbio.v15i3.125.

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Abstract: Human beings on the earth are facing some severe existential and environmental challenges that require philosophical arguments and explanations. There are many debates, controversies and arguments about the applications of moral principles in understanding multiple bioethical and environmental phenomena. Contemporary debates on bioethics emphasize the significance of the autonomy of both human beings and the rest of the natural world. Critical observations on the debates and discussions indicate that many philosophical approaches fail to explain these sorts of human and non-human iss

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17

Wang, Chenchen, Jun Wang, Yanfei Li, Chengkai Piao, and Jinmao Wei. "Dual-Regularized Feature Selection for Class-Specific and Global Feature Associations." Entropy 27, no. 2 (2025): 190. https://doi.org/10.3390/e27020190.

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Understanding feature associations is vital for selecting the most informative features. Existing methods primarily focus on global feature associations, which capture overall relationships across all samples. However, they often overlook class-specific feature interactions, which are essential for capturing locality features that may only be significant within certain classes. In this paper, we propose Dual-Regularized Feature Selection (DRFS), which incorporates two feature association regularizers to address both class-specific and global feature relationships. The class-specific regularize

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18

Nayagi, S. Bharani, and T. S. Shiny Angel. "An Analysis of Feature Selection Algorithm and their Optimization - A Scrutiny." Webology 18, SI02 (2021): 01–20. http://dx.doi.org/10.14704/web/v18si02/web18008.

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The eradication of correlated evidence of the enormous volume of the directory is designated as data mining. Extracting discriminate knowledge associate with the approach is performed by a feature of knowledge. Knowledge rejuvenation is carried out as features and the process is delineated as a feature selection mechanism. Feature selection is a subset of features, acquired more information. Before data mining, Feature selection is essential to trim down the elevated dimensional information. Without feature selection pre-processing techniques, classification required interminable calculation d

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19

Tian, Kun, and Qionghua Xia. "Feature Extraction of Gymnastics Images Based on Multi-scale Feature Fusion Algorithm." Scalable Computing: Practice and Experience 25, no. 5 (2024): 3394–407. http://dx.doi.org/10.12694/scpe.v25i5.3190.

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The feature extraction and analysis of gymnastics images is an essential foundation for estimating human posture. The primary step is to obtain various joint points of athletes based on basic information such as human texture and contour in the sports images. The reconstruction and analysis of the human skeleton is completed based on the feature data of the joint points. In this process, traditional algorithm models often have certain shortcomings in the accuracy of feature extraction for motion images. This paper combines multi-scale feature fusion algorithms to construct a gymnastics motion

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20

STUPNYTSKYY, VADYM. "FEATURE-ORIENTED PROCESS OPTIMIZATIONS." Bulletin of the National technical university "Kharkiv Polytechnic Institute" Series: Techniques in a machine industry, no. 2 (November 22, 2022): 25–39. http://dx.doi.org/10.20998/2079-004x.2021.2(4).04.

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The example of structural and parametric optimization of the functionally-oriented technological processmachining of mold’s parts is described in the article. The most essential criteria of optimization arewearproofness, fatigue strength, contact stiffness and corrosion resistance of production. In the articlethe brought methodology over of researches and algorithm of optimization.

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Swati, Tomar*1 &. Amit Kishore2. "MULTIPLE OPTICAL CHARACTER RECOGNITION USING MATLAB." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 4 (2018): 192–99. https://doi.org/10.5281/zenodo.1213029.

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Optical character acknowledgment (OCR) is turning into an intense device in the field of Character Recognition, now a days. In the current globalized condition, OCR can assume an essential part in various application fields. Essentially, OCR strategy changes over pictures into editable organization. This system changes over pictures as archives, for example, we can alter, adjust and store information all the more securely for long-term. This paper presents essential of OCR procedure with its parts, for example, pre-preparing, Feature Extraction, Classification, post-handling and so on. There a

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22

Li, Min, XiaoYong Pan, Tao Zeng, et al. "Alternative Polyadenylation Modification Patterns Reveal Essential Posttranscription Regulatory Mechanisms of Tumorigenesis in Multiple Tumor Types." BioMed Research International 2020 (June 16, 2020): 1–9. http://dx.doi.org/10.1155/2020/6384120.

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Among various risk factors for the initiation and progression of cancer, alternative polyadenylation (APA) is a remarkable endogenous contributor that directly triggers the malignant phenotype of cancer cells. APA affects biological processes at a transcriptional level in various ways. As such, APA can be involved in tumorigenesis through gene expression, protein subcellular localization, or transcription splicing pattern. The APA sites and status of different cancer types may have diverse modification patterns and regulatory mechanisms on transcripts. Potential APA sites were screened by appl

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23

Liu, Xiao, Xiao Li Geng, and Hong Ling Tang. "Protein Subcellular Localization Feature of Essential/Nonessential Genes in 28 Prokaryotes." Applied Mechanics and Materials 644-650 (September 2014): 5197–201. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.5197.

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This study aimed to pursue the correlation between essential/nonessential gene and protein subcellular localization. The protein sequences of the essential/nonessential genes of 28 prokaryotes in Database of Essential Genes were analyzed by PSORTb3.0. Results show that proteins of essential genes locate in cytoplasm with relatively high percentage, i.e., in the range of 40% to 55%. Percentages of the proteins of essential genes locate in cytoplasma membrane are lower than that of nonessential genes, which mostly are about 15%. However, the values of proteins of nonessential genes are mostly ab

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24

Crandall, Sonia J., and Gail S. Marion. "Commentary: Identifying Attitudes Towards Empathy: An Essential Feature of Professionalism." Academic Medicine 84, no. 9 (2009): 1174–76. http://dx.doi.org/10.1097/acm.0b013e3181b17b11.

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25

Frenkel, Moshe, and Lynda G. Balneaves. "Integrative Oncology: An Essential Feature of High-Quality Cancer Care." Journal of Alternative and Complementary Medicine 24, no. 9-10 (2018): 855–58. http://dx.doi.org/10.1089/acm.2018.29053.mfl.

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26

Lin, Yan, Fa-Zhan Zhang, Kai Xue, Yi-Zhou Gao, and Feng-Biao Guo. "Identifying Bacterial Essential Genes Based on a Feature-Integrated Method." IEEE/ACM Transactions on Computational Biology and Bioinformatics 16, no. 4 (2019): 1274–79. http://dx.doi.org/10.1109/tcbb.2017.2669968.

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27

Garcillán-Barcia, M. Pilar, and Fernando de la Cruz. "Why is entry exclusion an essential feature of conjugative plasmids?" Plasmid 60, no. 1 (2008): 1–18. http://dx.doi.org/10.1016/j.plasmid.2008.03.002.

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28

Martens, Willem H. J. "Suicidal Behavior as Essential Diagnostic Feature of Antisocial Personality Disorder." Psychopathology 34, no. 5 (2001): 274–75. http://dx.doi.org/10.1159/000049323.

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29

Bader, Svitlana. "ESSENTIAL FEATURE OF CATEGORY «VALUE-SEMANTIC ORIENTATIONS OF FUTURE EDUCATORS»." Scientific Bulletin of Uzhhorod University. Series: «Pedagogy. Social Work», no. 2(43) (November 19, 2018): 25–29. http://dx.doi.org/10.24144/2524-0609.2018.43.25-29.

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30

Sechi, Leonardo A., Alessandra Melis, and Rinaldo Tedde. "Insulin hypersecretion: A distinctive feature between essential and secondary hypertension." Metabolism 41, no. 11 (1992): 1261–66. http://dx.doi.org/10.1016/0026-0495(92)90019-7.

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31

Louis, Elan D., Q. Yu, A. G. Floyd, Carol Moskowitz, and Seth L. Pullman. "Axis is a feature of handwritten spirals in essential tremor." Movement Disorders 21, no. 8 (2006): 1294–95. http://dx.doi.org/10.1002/mds.20915.

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32

Deuschl, Günther. "Locus coeruleus dysfunction: A feature of essential or senile tremor?" Movement Disorders 27, no. 1 (2012): 1–2. http://dx.doi.org/10.1002/mds.24885.

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33

Chen, Y., V. Häring, V. Selzam, et al. "P-73 Feature-based learning differentiates Essential and Functional Tremor." Clinical Neurophysiology 148 (April 2023): e42. http://dx.doi.org/10.1016/j.clinph.2023.02.090.

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34

Penco, Carlo. "Indexicals and essential demonstrations." Semiotica 2021, no. 240 (2021): 261–84. http://dx.doi.org/10.1515/sem-2021-0008.

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Abstract In this paper, I discuss some of Maximilian de Gaynesford’s arguments regarding indexicals. Although I agree with his treatment of the first singular personal pronoun as a prototype of demonstrative expressions, I challenge his refusal to treat indexicals as complex demonstratives. To offer an alternative to this refusal I try to develop a common ground from different theories that consider indexicals as linguistic constructions that embed a nonlinguistic element, following an original idea in Frege’s latest writings. These views form the backdrop on which we can put forward the claim

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Yi, Dong, Di Wu, Tao Hu, Zhifu Tian, and Yanyun Wang. "Specific emitter identification based on multiple sequence feature learning." PLOS ONE 19, no. 5 (2024): e0299664. http://dx.doi.org/10.1371/journal.pone.0299664.

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The specific emitter identification is widely used in electronic countermeasures, spectrum control, wireless network security and other civil and military fields. In response to the problems that the traditional specific emitter identification algorithm relies on a priori knowledge and has poor generalizability, and the existing specific emitter identification algorithm based on deep learning has poor feature selection and the adopted feature extraction network is not targeted, etc., the specific emitter identification algorithm based on multi-sequence feature learning is proposed. Firstly, mu

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36

Jhunjhunwala, Ketan, and Pramod K. Pal. "The Non-motor Features of Essential Tremor: A Primary Disease Feature or Just a Secondary Phenomenon?" Tremor and Other Hyperkinetic Movements 4 (August 5, 2014): 255. http://dx.doi.org/10.5334/tohm.230.

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37

Khabbazi, Mahmood Reza, Jan Wikander, Mauro Onori, and Antonio Maffei. "Object-oriented design of product assembly feature data requirements in advanced assembly planning." Assembly Automation 38, no. 1 (2018): 97–112. http://dx.doi.org/10.1108/aa-07-2016-084.

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Purpose This paper introduces a schema for the product assembly feature data in an object-oriented and module-based format using Unified Modeling Language (UML). To link production with product design, it is essential to determine at an early stage which entities of product design and development are involved and used at the automated assembly planning and operations. To this end, it is absolutely reasonable to assign meaningful attributes to the parts’ design entities (assembly features) in a systematic and structured way. As such, this approach empowers processes such as motion planning and

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38

Guo, Guang Nan, Mei Chu, Xiao Hua Wang, Xiao Bo Huang, and Zheng Wei. "Design of Image Classification System Based on Feature Extraction." Key Engineering Materials 474-476 (April 2011): 1859–64. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1859.

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Image classification is a kind of image data mining method to classify different targets based on different features reflected in image information. The paper designed a kind of image classification system based on feature selection, which utilize feature selection and feature weight to optimize the features and obtain features that can reflect essential of classification, so as to improve image classification accuracy. Meanwhile, the paper gave material implementation method of main modules of image classification system. Image classification experiment based on the system proves effectivenes

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Khorsheed, Mohammad S. "Recognizing Cursive Typewritten Text Using Segmentation-Free System." Scientific World Journal 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/818432.

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Feature extraction plays an important role in text recognition as it aims to capture essential characteristics of the text image. Feature extraction algorithms widely range between robust and hard to extract features and noise sensitive and easy to extract features. Among those feature types are statistical features which are derived from the statistical distribution of the image pixels. This paper presents a novel method for feature extraction where simple statistical features are extracted from a one-pixel wide window that slides across the text line. The feature set is clustered in the feat

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40

Xu, Yangshuyi, and Lin Zhang. "A Fine-grained Chinese Short Text Classification Method Based on Capsule Networks." Journal of Physics: Conference Series 2555, no. 1 (2023): 012015. http://dx.doi.org/10.1088/1742-6596/2555/1/012015.

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Abstract Chinese short-text classification is an essential primary research direction in natural language processing. The main problem facing the current Chinese short text classification task is how to effectively extract critical semantic feature information and determine the text category within a short text length. Aiming at the problem of feature information extraction of Chinese short texts, this paper introduces a novel sparse attention mechanism. It proposes a Chinese short text classification model RGSC combined with capsule networks. After the model generates word vectors through the

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41

Bhushanam, P. Naga, and S. Selva Kumar. "Analyzing Human Mental State and Emotions using a Novel Emonet Learning Model with Unconstraint Videos." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 33, no. 05 (2025): 591–612. https://doi.org/10.1142/s0218488525400069.

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The mental state of a human is determined by an essential indicator known as emotion. Factors like satisfaction, stress, and the detection of emotions from various situations are essential in analyzing the sequential evaluation for specific functions. The computer vision method of emotion detection is a prominent technique of recognizing emotions from visual media such as videos and images of a person’s activities. The present models used only a simple concatenation feature to analyze the emotion. Thus, they should have observed the essential complementary gains between the context data in the

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42

Maulisa, Oktiana, Arnia Fitri, Away Yuwaldi, and Munadi Khairul. "Features for Cross Spectral Image Matching: A Survey." Bulletin of Electrical Engineering and Informatics 7, no. 4 (2018): 552–60. https://doi.org/10.11591/eei.v7i4.843.

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In recent years, cross spectral matching has been gaining attention in various biometric systems for identification and verification purposes. Cross spectral matching allows images taken under different electromagnetic spectrums to match each other. In cross spectral matching, one of the keys for successful matching is determined by the features used for representing an image. Therefore, the feature extraction step becomes an essential task. Researchers have improved matching accuracy by developing robust features. This paper presents most commonly selected features used in cross spectral matc

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43

Ke, Qingyang, Youming Wu, Wenchao Zhao, Qingbiao Meng, Tian Miao, and Xin Gao. "SFG-Net: A Scattering Feature Guidance Network for Oriented Aircraft Detection in SAR Images." Remote Sensing 17, no. 7 (2025): 1193. https://doi.org/10.3390/rs17071193.

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Synthetic Aperture Radar (SAR) aircraft detection plays a crucial role in various civilian applications. Benefiting from the powerful capacity of feature extraction and analysis of deep learning, aircraft detection performance has been improved by most traditional general-purpose visual intelligence methods. However, the inherent imaging mechanisms of SAR fundamentally differ from optical images, which poses challenges for SAR aircraft detection. Aircraft targets in SAR imagery typically exhibit indistinct details, discrete features, and weak contextual associations and are prone to non-target

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Huang, Cuiyang, and Zihan Hu. "A multimodal transformer-based visual question answering method integrating local and global information." PLOS One 20, no. 7 (2025): e0324757. https://doi.org/10.1371/journal.pone.0324757.

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Addressing the limitations in current visual question answering (VQA) models face limitations in multimodal feature fusion capabilities and often lack adequate consideration of local information, this study proposes a multimodal Transformer VQA network based on local and global information integration (LGMTNet). LGMTNet employs attention on local features within the context of global features, enabling it to capture both broad and detailed image information simultaneously, constructing a deep encoder-decoder module that directs image feature attention based on the question context, thereby enh

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45

Schratz, Patrick, Jannes Muenchow, Eugenia Iturritxa, José Cortés, Bernd Bischl, and Alexander Brenning. "Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?" Remote Sensing 13, no. 23 (2021): 4832. http://dx.doi.org/10.3390/rs13234832.

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This study analyzed highly correlated, feature-rich datasets from hyperspectral remote sensing data using multiple statistical and machine-learning methods. The effect of filter-based feature selection methods on predictive performance was compared. In addition, the effect of multiple expert-based and data-driven feature sets, derived from the reflectance data, was investigated. Defoliation of trees (%), derived from in situ measurements from fall 2016, was modeled as a function of reflectance. Variable importance was assessed using permutation-based feature importance. Overall, the support ve

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Vinnarasi, P., and K. Menaka. "Advanced hybrid feature selection techniques for analyzing the relationship between 25-OHD and TSH." Scientific Temper 16, no. 02 (2025): 3758–73. https://doi.org/10.58414/scientifictemper.2025.16.2.08.

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The process of selecting essential features from the high-dimensional datasets is a crucial task while handling biological data. It is not just about choosing the right features but also ensuring that the selected features consistently perform well across different datasets or under varying conditions. The selection of features is crucial for the development of machine learning algorithm, as it influences the model’s characteristics and its connection to physiological processes, which is essential in the healthcare sector for identifying illness states with minimal data. The present study is p

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PALANICHAMY, JAGANATHAN, and KUPPUCHAMY RAMASAMY. "A NOVEL FEATURE SELECTION ALGORITHM WITH SUPERVISED MUTUAL INFORMATION FOR CLASSIFICATION." International Journal on Artificial Intelligence Tools 22, no. 04 (2013): 1350027. http://dx.doi.org/10.1142/s0218213013500279.

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Feature selection is essential in data mining and pattern recognition, especially for database classification. During past years, several feature selection algorithms have been proposed to measure the relevance of various features to each class. A suitable feature selection algorithm normally maximizes the relevancy and minimizes the redundancy of the selected features. The mutual information measure can successfully estimate the dependency of features on the entire sampling space, but it cannot exactly represent the redundancies among features. In this paper, a novel feature selection algorit

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Humayun, Mamoona, Muhammad Ibrahim Khalil, Ghadah Alwakid, and N. Z. Jhanjhi. "Superlative Feature Selection Based Image Classification Using Deep Learning in Medical Imaging." Journal of Healthcare Engineering 2022 (September 26, 2022): 1–11. http://dx.doi.org/10.1155/2022/7028717.

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Medical image recognition plays an essential role in the forecasting and early identification of serious diseases in the field of identification. Medical pictures are essential to a patient’s health record since they may be used to control, manage, and treat illnesses. On the other hand, image categorization is a difficult problem in diagnostics. This paper provides an enhanced classifier based on the outstanding Feature Selection oriented Clinical Classifier using the Deep Learning (DL) model, which incorporates preprocessing, extraction of features, and classifying. The paper aims to develop

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Minghim, Rosane, Liz Huancapaza, Erasmo Artur, Guilherme P. Telles, and Ivar V. Belizario. "Graphs from Features: Tree-Based Graph Layout for Feature Analysis." Algorithms 13, no. 11 (2020): 302. http://dx.doi.org/10.3390/a13110302.

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Feature Analysis has become a very critical task in data analysis and visualization. Graph structures are very flexible in terms of representation and may encode important information on features but are challenging in regards to layout being adequate for analysis tasks. In this study, we propose and develop similarity-based graph layouts with the purpose of locating relevant patterns in sets of features, thus supporting feature analysis and selection. We apply a tree layout in the first step of the strategy, to accomplish node placement and overview based on feature similarity. By drawing the

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Ishida, Sho, Tomo Miyazaki, Yoshihiro Sugaya, and Shinichiro Omachi. "Graph Neural Networks with Multiple Feature Extraction Paths for Chemical Property Estimation." Molecules 26, no. 11 (2021): 3125. http://dx.doi.org/10.3390/molecules26113125.

Full text

Abstract:

Feature extraction is essential for chemical property estimation of molecules using machine learning. Recently, graph neural networks have attracted attention for feature extraction from molecules. However, existing methods focus only on specific structural information, such as node relationship. In this paper, we propose a novel graph convolutional neural network that performs feature extraction with simultaneously considering multiple structures. Specifically, we propose feature extraction paths specialized in node, edge, and three-dimensional structures. Moreover, we propose an attention me

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