Pengelompokan Hasil Pencarian Skripsi Berbahasa Indonesia Menggunakan Metode DBSCAN dengan Pembobotan BM25 by Rangga Adi Satria, Indriati Indriati, Sutrisno Sutrisno

“…Pengujian dilakukan dengan mengukur hasil pengelompokan menggunakan rata-rata silhouette coefficient terhadap parameter epsilon dan MinPts pada metode DBSCAN, serta k1 dan b pada pembobotan BM25 dengan 4 skenario yang berbeda. …”
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Comparison of Profile Attractiveness between Class III Orthodontic Camouflage and Predictive Tracing of Orthognathic Surgery by Mohamad Nagi Bou Wadi, Karina Maria Salvatore Freitas, Daniel Salvatore Freitas, Rodrigo Hermont Cançado, Renata Cristina Gobbi de Oliveira, Ricardo Cesar Gobbi de Oliveira, Guilherme Janson, Fabricio Pinelli Valarelli

“…The initial cephalogram was used to perform the treatment simulation of orthognathic surgery, and its silhouette was compared to the silhouette obtained from the final cephalogram after Class III orthodontic camouflage. …”
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Evaluating Stable Chronic Obstructive Pulmonary Disease by Ultrasound by Togay Evrin, Semih Korkut, Leyla Ozturk Sonmez, Lukasz Szarpak, Burak Katipoglu, Jacek Smereka, Ramazan Guven, Evrim Eylem Akpinar

“…The point-of-care US measurements, lung silhouette method right (Lung Sil R), lung silhouette method left (Lung Sil L), right hemidiaphragm US method in B-mode (Ant B-Mode R), and right hemidiaphragm US method in M-mode (Ant M-Mode R), were significantly different among groups (P<0.001 for each). …”
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Leveraging feature extraction and risk-based clustering for advanced fault diagnosis in equipment. by Hyeonbin Ji, Ingeun Hwang, Junghwon Kim, Suan Lee, Wookey Lee

“…The optimal cluster count, identified as three, achieved the highest Silhouette Score. Statistical analysis using one-way ANOVA confirmed the significance of these findings with a p-value of 5.3213 × e-6, well within the 5% significance threshold. …”
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A Novel Classification System of Smart Mechanical Plaque Control: A Cross-Sectional Survey with Cluster Analysis by Balraj R. Shukla, Anup K. Panda

“…K-means clustering of the nine parameters revealed six clusters (silhouette score >0.5) that guided in drawing a classification of smart MPC. …”
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The role of smart electricity meter data analysis in driving sustainable development by Archana Y. Chaudhari, Preeti Mulay, Shradha Chavan

“…The performance of CGMIC compared with DBSCAN on silhouette score and Davis Bouldin index metrics. The insight of this research contributes directly to sustainable development goals. …”
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Clustering Gempabumi di Wilayah Regional VII Menggunakan Pendekatan DBSCAN by Ihsan Bagus Fahad Arafat, Mokhamad Amin Hariyadi, Irwan Budi Santoso, Cahyo Crysdian

“…Hasil yang terbentuk selanjutnya dievaluasi menggunakan Silhouette Coefficient serta dibandingkan dengan peta Seismisitas Jawa yang telah ada dari katalog PuSGeN 2017. …”
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Measurement tools in the assessment of body image in the dancing context: a systematic review by Natalia Fraga-Pena, Marta Bobo-Arce

“…Quantitative methods are also useful, although silhouette scales offer a binary view of bodies and genders and should be reevaluated. …”
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Hierarchical Clustering of Residential Appliances Considering the Characteristics of the Appliances by Shima Simsar, Mahmood Alborzi, Ali Rajabzadeh Ghatari, Ali Yazdian

“…The first cluster is the appliances that are turned on at the discretion of the consumers immediately, the second cluster is the appliances that can be turned on according to the schedule and their usage can be postponed and the third cluster is appliances that are preferred by a limited number of consumers. The silhouette coefficient was developed as a measure of the hierarchical clustering model performance, where the average silhouette coefficient of 0.56 indicates the satisfaction of the model. …”
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Cluster analysis of digital competencies among professors in higher education by Karime Chahuán-Jiménez, Eduardo Lara-Yergues, Dominique Garrido-Araya, Elena Salum-Alvarado, Paulina Hurtado-Arenas, Rolando Rubilar-Torrealba

“…Regarding the clustering analysis, specifically using the K-means clustering algorithm, four distinct clusters are identified based on the questionnaire scores, aligning with findings from Silhouette score and Quadratic error by number of clusters.DiscussionThis research reveals that professors in higher education span all four levels of competency as defined by the DigComEdu model, primarily falling within the intermediate levels of digital competencies. …”
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Ilex pedunculosa Longstalk Holly by Edward Gilman

“…The longstalk holly is noted for its ornamental features, such as its pyramidal silhouette, pleasant fragrance, and persistent red fruits that attract birds. …”
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Ilex pedunculosa Longstalk Holly by Edward Gilman

“…The longstalk holly is noted for its ornamental features, such as its pyramidal silhouette, pleasant fragrance, and persistent red fruits that attract birds. …”
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Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines by Eyere Emagbetere, Samson Uwatse, Omonzokpia Goerge Okoidigun

“…The obtained data was preprocessed and analyzed statistically. Then, silhouette scores and within-cluster sum of squares (WCSS) were used to obtain the optimum number of clusters for the analysis. …”
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A Novel Telerehabilitation System for Physical Exercise Monitoring in Elderly Healthcare by Muhammad Abrar Ashraf, Shaheryar Najam, Touseef Sadiq, Shabbab Algamdi, Hanan Aljuaid, Hameedur Rahman, Ahmad Jalal

“…The pipeline begins with noise and floor removal, followed by 3D connected component labeling (CCL) to identify the human subject and extract the human silhouette. Next, skeleton joint points are estimated, and features are extracted from both the joints and silhouette. …”
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Mocarna duchem zmartwychwstańskim. Alicja Kotowska CR – zakonnica, nauczycielka, męczenniczka, błogosławiona by Joanna Pyszna

“… The article presents the hero silhouette of blessed Alice Kotowska – the nun of the Congregation of the Sisters of the Resurrection, the superior of the community in Wejherowo and the secondary school principal. …”
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Clustering Tingkat Risiko Klasifikasi Lapangan Usaha (KLU) Menggunakan Metode K-Means by Jessica Rahmawati Nugroho, Yoyon K Suprapto, Eko Setijadi

“…Dengan validasi clustering menggunakan uji silhouette, diperoleh nilai 0,65 untuk variabel A dan 0,93 untuk variabel B. …”
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Implementasi Self Organizing Maps untuk Pengelompokan Kabupaten/Kota Berdasarkan Indeks Pembangunan Manusia by Dwi Marisa Midyanti, Syamsul Bahri

“…Hasil penelitian ini menunjukkan bahwa, dengan menggunakan learning rate 0.001, maksimum iterasi 1100, dihasilkan sejumlah 4 cluster dengan nilai Silhouette Coefficients sebesar 0.331611 untuk penambahan variabel kepadatan penduduk, 0.290092 untuk penambahan variabel jumlah guru dan murid, 0.298582 untuk penambahan variabel jumlah pengangguran , dan 0.273734 untuk adanya penambahan variabel kepadatan penduduk, jumlah guru dan murid, dan jumlah pengangguran. …”
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Acer japonicum 'Vitifolium' by Edward F. Gilman

“…It fits well into the oriental garden due to the exotic silhouette. The deeply divided, soft green leaves have 9 to 11 lobes and are delicately displayed on thin, drooping branches. …”
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Acer japonicum 'Vitifolium' by Edward F. Gilman

“…It fits well into the oriental garden due to the exotic silhouette. The deeply divided, soft green leaves have 9 to 11 lobes and are delicately displayed on thin, drooping branches. …”
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Analisis Dampak Kabut Asap dari Kebakaran Hutan dan Lahan dengan Pendekatan Text Mining by Zuliar Efendi, Imas Sukaesih Sitanggang, Lailan Syaufina

“…Hasil clustering menunjukkan bahwa validitas cluster tertinggi memiliki silhouette index sebesar, 0,3360 dengan jarak antar cluster menggunakan ward. …”
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