Numerical and test study on dynamic characteristics of the tail beam of top coal caving hydraulic supports by WU Mingke, YANG Shanguo, WANG Yao, MENG Bin, YANG Zheng, LIU Houguang

“…Thirdly, the<italic> t</italic>-distributed stochastic neighborhood embedding (<italic>t</italic>-SNE) method was used to reduce the dimension of these features, and the average silhouette coefficient (ASC) of different features was calculated. …”
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Gait Recognition Using GEI and AFDEI by Jing Luo, Jianliang Zhang, Chunyuan Zi, Ying Niu, Huixin Tian, Chunbo Xiu

“…However, there is no consideration of the time that normalizes each silhouette within the GEI. As regards this problem, this paper proposed the accumulated frame difference energy image (AFDEI), which can reflect the time characteristics. …”
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Anesthetic Management of a Patient with a Giant Pericardial Cyst Compressing the Right Atrium by Mohammad Hadi Gharedaghi, Saman Ahmadi, Arjang Khorasani, Farzad Ebrahimi

“…We report on a 57-year-old man with an asymptomatic 9 cm pericardial cyst that was incidentally found as an abnormal cardiac silhouette on routine chest radiography. Further imaging confirmed the presence of a pericardial cyst that was compressing the right atrium. …”
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Perceived and Ideal Body Image in Young Women in South Western Saudi Arabia by Atika Khalaf, Albert Westergren, Vanja Berggren, Örjan Ekblom, Hazzaa M. Al-Hazzaa

“…Anthropometric measurements including weight, height, BMI, and BI perception (the 9-figure silhouette) were obtained. Descriptive and logistic regression analysis were conducted. …”
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Development of Vision Based Multiview Gait Recognition System with MMUGait Database by Hu Ng, Wooi-Haw Tan, Junaidi Abdullah, Hau-Lee Tong

“…This paper also proposes a multiview model-based gait recognition system with joint detection approach that performs well under different walking trajectories and covariate factors, which include self-occluded or external occluded silhouettes. In the proposed system, the process begins by enhancing the human silhouette to remove the artifacts. …”
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Sanguineous Pericardial Effusion and Cardiac Tamponade in the Setting of Graves’ Disease: Report of a Case and Review of Previously Reported Cases by Peter V. Bui, Sonia N. Zaveri, J. Rush Pierce Jr.

“…Chest radiograph revealed an enlarged cardiac silhouette and left-sided pleural effusion. Thyroid stimulating hormone was undetectable, and free thyroxine was elevated. …”
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An Appearance Invariant Gait Recognition Technique Using Dynamic Gait Features by Hajra Masood, Humera Farooq

“…Existing gait feature extraction techniques such as gait silhouette and Gait Energy Image rely on the human body’s shape. …”
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Swoistość ludzkiej kultury - wampiryzm by Jacek Tomczyk, Anna Dygudaj

“…Settled in present times, the silhouette of the vampire remains realistic in some people’s minds and has no tendency to modify. …”
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Research on Gait Recognition Based on GaitSet and Multimodal Fusion by Xiling Shi, Wenqiang Zhao, Huandou Pei, Hongru Zhai, Yongxia Gao

“…Based on the information derived from the gait contour sequence during walking (such as temporal and spatial information), this study proposes an improved gait recognition method based on the GaitSet model, which improves video-based gait recognition performance by combining gait energy images and silhouette images to form a multimodal representation. …”
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K-Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China) by Xueyi Shang, Xibing Li, A. Morales-Esteban, Longjun Dong, Kang Peng

“…In this paper, seismic event location (X,Y,Z) and Euclidean distance were selected as the K-Means cluster, the Gaussian mixture model (GMM), and the self-organizing maps (SOM) input features and cluster determination measurement, respectively, and 1516 seismic events (M>-1.5) obtained from the Yongshaba mine (China) were chosen for the cluster analysis. In addition, a Silhouette and Krzanowski-Lai- (KL-) combined S-KL index was proposed to obtain the possible optimum cluster number and to compare the cluster methods. …”
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A Clustering of Investors' Behavior according to Their Financial, Behavioral, and Demographic Characteristics (An Application of K-means Algorithm) by Marziyeh Nourahmadi, Hojjatollah Sadeqi

“…We also show how to allocate assets effectively using investor characteristics and clustering techniques.Findings: Use silhouette coefficient to evaluate two clustering methods to select the best method for data clustering. …”
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Eye tracking based clustering using the Korean version of the reading the mind in the eyes test by Se Jun Koo, Eun Jung Cha, Jee Eun Min, Eunchong Seo, Eun Lee, Suk Kyoon An

“…The k-means algorithm was adopted, and the optimised number of clusters was determined using the elbow, silhouette and NbClust methods. Furthermore, multivariate analysis was employed to determine whether there were differences among the clusters in the neurocognitive and other ToM tests. …”
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Deep Temporal Clustering of Pathological Gait Patterns in Post-Stroke Patients Using Joint Angle Trajectories: A Cross-Sectional Study by Gyeongmin Kim, Hyungtai Kim, Yun-Hee Kim, Seung-Jong Kim, Mun-Taek Choi

“…Through this method, six optimal clusters were selected with a silhouette score of 0.2831, which is a relatively higher value compared to other clustering algorithms. …”
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ATIVIDADE DE PODA DE VEGETAÇÃO REALIZADA POR ELETRICISTA DE LINHA VIVA: UMA INTEGRAÇÃO DA ANÁLISE DO TRABALHO, ANÁLISE DE CLUSTER E BIOMECÂNICA by Samuel Bento da Silva, Sandra Francisca Bezerra Gemma, Flavia Traldi de Lima, Amanda Lopes Fernandes, José Luiz Pereira Brittes, Milton Shoiti Misuta

“…A análise de cluster apontou a formação de dois grupos (Índice de Silhouette de 0.7874), um associado à poda convencional (poda_Conv) e outro à poda com o protótipo de suporte (poda_ProtSup). …”
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The Relationship Between Body Composition, Physical Activity, Self-Esteem, and Body Image in Female and Male Adolescents by Ligia Rusu, Denisa Piele, Eva Ilie, Gheorghe Ionescu, Mihnea Ion Marin, Mihai Robert Rusu, Mirela Lucia Calina

“…In terms of the perceived ideal body size assessed with the Silhouette scale, most of the females were placed at level 3, and the males were placed at level 4. …”
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Clinical symptoms and functional impairment in attention deficit hyperactivity disorder (ADHD) co-morbid tic disorder (TD) patients: a cluster-based investigation by Zhongliang Jiang, Hui Xu, Anyi Zhang, Liping Yu, Xianbin Wang, Wenyan Zhang, Yonghua Cui, Ying Li

“…Fisher discriminant analysis and silhouette score were used for validation. Additionally, we assessed premonitory urge, strengths, and difficulties among groups. …”
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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…The framework proposed here uses K-means clustering in combination with the visualisation of bounding boxes, thereby improving segmentation and yielding a silhouette score of 0.73 with the best cluster configuration. …”
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Academician V. H. Serheiev – Control System Designer, Founder of the Scientific and Design School, Honored Citizen of Kharkiv (on His 110th Birthday) by Elena Tverytnykova, Olena Voitiuk

“…Despite his significant scientific achievements in the field of rocket and space engineering, the silhouette of V. H. Serheiev is hardly reflected in the modern history of science. …”
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Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk? by Lasse Mausehund, Anri Patron, Sami Äyrämö, Sami Äyrämö, Tron Krosshaug

“…To assess the impact of the identified cutting technique clusters on ACL injury risk, we compared the proportion of injured players between these clusters using the Fisher-Freeman-Halton Exact test and adjusted rand indices (ARI).ResultsWe identified two distinguishable cutting technique clusters in the subset involving both sports and five kinematics variables (average silhouette score, ASS = 0.35). However, these clusters were formed based on sport- or task-related differences (Fisher's p &lt; 0.001, ARI = 0.83) rather than injury-related differences (Fisher's p = 0.417, ARI = 0.00). …”
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Analysis of population structure and genetic diversity in a Southern African soybean collection based on single nucleotide polymorphism markers by A. Tsindi, J. S. Y. Eleblu, E. Gasura, H. Mushoriwa, P. Tongoona, E. Y. Danquah, L. Mwadzingeni, M. Zikhali, E. Ziramba, G. Mabuyaye, J. Derera

“…Inference based on three tools, such as the Evanno method, silhouette plots and UPMGA phylogenetic tree showed the existence of three sub-populations. …”
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