Sentiment Classification of Public Perception on LHKPN Using SVM and Naive Bayes by Ahmad Rijal Hermawan Hermawan, Isa Faqihuddin Hanif

“…Sentiment classification was conducted using two machine learning algorithms: Support Vector Machine (SVM) and Naive Bayes. …”
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Mixed logit model and classification tree to investigate cyclists crash severity by Antonella Scarano, Maria Rella Riccardi, Filomena Mauriello, Carmelo D'Agostino, Alfonso Montella

“…Our study examined the 72 363 cyclist crashes that occurred in Great Britain in the period 2016-2019 with the objective of (1) examining how various factors influence cyclist crash severity, (2) identifying complex interactions among these crash patterns, and (3) proposing countermeasures aimed at solving the identified risk factors. …”
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Multi-label software requirement smells classification using deep learning by Ashagrew Liyih Alem, Ketema Keflie Gebretsadik, Shegaw Anagaw Mengistie, Muluye Fentie Admas

“…After executing numerous experiments with different parameters in the Bi-LSTM, LSTM, and GRU models, we obtained 90.3%, 89%, and 88.7% of F1-score macro averages with ELMo, respectively. …”
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Information Merging for Improving Automatic Classification of Electrical Impedance Mammography Images by Jazmin Alvarado-Godinez, Hayde Peregrina-Barreto, Delia Irazú Hernández-Farías, Blanca Murillo-Ortiz

“…However, analyzing these layers individually can be redundant and complex, making it difficult to identify relevant features for lesion classification. To address this issue, advanced computational techniques are employed for image integration, such as the Root Mean Square (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>C</mi><mi>RMS</mi></msub></semantics></math></inline-formula>) Contrast and Contrast-Limited Adaptive Histogram Equalization (CLAHE), combined with the Coefficient of Variation (CV), CLAHE-based fusion, weighted average fusion, Gaussian pyramid fusion, and Wavelet–PCA fusion. …”
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Long non-coding RNAs in humans: Classification, genomic organization and function by Barbara Chodurska, Tanja Kunej

“…Despite recent advances in lncRNA research, their structural and functional annotation and classification remain an ongoing challenge. This review provides a comprehensive overview of human lncRNAs, highlighting their genomic organization, mode of action and role in physiological and pathological processes. …”
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Semi-Supervised Learning With Wafer-Specific Augmentations for Wafer Defect Classification by Uk Jo, Seoung Bum Kim

“…Experimental results indicate significant improvements in defect pattern classification by avoiding cutting important regions in cutout augmentation. …”
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RGB Color Space-Enhanced Training Data Generation for Cucumber Classification by Hotaka Hoshino, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itoh

“…The proposed system employs a convolutional neural network (CNN) to process cucumber images and generate classification results. The CNN used in this study consists of a total of 11 layers: 2 convolution layers, 2 pooling layers, 3 dense layers, and 4 dropout layers. …”
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The combined influence of classification and mechanical activation of kaolin on the structure and properties of geopolymer by Roland Szabó, Ferenc Kristály, Fanni Dolgos, Mária Ambrus, Gábor Mucsi

“…The raw kaolin was classified as suspensions with different volume concentrations (1, 2, 4, and 6 V/V%) in a hydrocyclone, and the kaolinite-rich product of the classification with 4 V/V%, was mechanically activated in a high-energy stirred media mill for 1, 3, 5, 10, and 20 minutes. …”
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Development of Clinical and Morphometric Classification of Macular Edema in Retinal Vein Occlusions by A. A. Fil, E. L. Sorokin, O. V. Kolenko

“…Taking into account the data obtained, we proposed a conditional morphometric classification of the severity of macular edema in retinal vein occlusions. …”
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Segmentation-Assisted Fusion-Based Classification for Automated CXR Image Analysis by Shilu Kang, Dongfang Li, Jiaxin Xu, Aokun Mei, Hua Huo

“…Accurate classification of chest X-ray (CXR) images is crucial for diagnosing lung diseases in medical imaging. …”
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Sugarcane leaf disease classification using deep neural network approach by Saravanan Srinivasan, S. M. Prabin, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Suresh Kulandaivelu, Mohd Asif Shah

“…Results EfficientNet-B7 and DenseNet201 achieved the highest classification accuracy rates of 99.79% and 99.50%, respectively, among 14 models tested. …”
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Female breast cancer classification using immunohistochemistry biomarkers staining in Botswana by Andrew Khulekani Ndlovu, Ishmael Kasvosve, Patricia S. Rantshabeng, Kirthana Sharma, Dhiren Govender, Richard Naidoo

“…Morphological 76% of tumours were IDC-NOS and 24% were special type, majority were grade 2 (40%) followed by grade 1(30.4%), grade 3 (23.2%) was and mucinous types were 6.4%. Clinical staging and tumour involvement data were incomplete. …”
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Object-Specific Multiview Classification Through View-Compatible Feature Fusion by Javier Perez Soler, Jose-Luis Guardiola, Nicolás García Sastre, Pau Garrigues Carbó, Miguel Sanchis Hernández, Juan-Carlos Perez-Cortes

“…Multi-view classification (MVC) typically focuses on categorizing objects into distinct classes by employing multiple perspectives of the same objects. …”
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Significance of Immune-Related Genes in the Diagnosis and Classification of Intervertebral Disc Degeneration by Bo Wu, Xinzhou Huang, Mu Zhang, Wei Chu

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Classification and Influencing Factors of County Units with Population Shrinkage in Guangdong Province by Chen Tingting, Wu Likun

“…The study also constructed a socioeconomic-natural-demographic indicator system, explored the factors influencing its formation and evolution from the perspective of non-linear influence with the help of a multi-classification logit regression model and a random forest model, and put forward relevant suggestions. …”
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A Classification for Syndesmosis Injuries Based on Soft Tissue and Bony Anatomy by Diogo Vieira Cardoso MD, Andrea Veljkovic MD, MPH, BComm, FRCSC, Silvia Valisena MD, Thibault Favre MD, Peter Salat MD, Sana Boudabbous MD, Kevin Wing MD, FRCSC, Murray J. Penner MD, FRCSC, Alastair S.E. Younger MB ChB, ChM, FRCSC

“…The associated fractures and ligament injuries may also determine the nature of fixation and management required. While classification exists for posterior malleolar, fibular, and ankle fractures, no systematic approach exists for the classification and treatment of syndesmosis injuries. …”
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Investigating the Relationship Between Text Vectorization Cosine Similarity and Classification Performance by Fernando Rezende Zagatti, Gilson Yuuji Shimizu, Daniel Lucredio, Helena de Medeiros Caseli

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Tactile Augmentation of Material Classification via Imperceptible On‐Skin Triboelectricity Collection by Junting Huang, Stanley Gong Sheng Ka, Haydn Cheong, Yaru Zhang, Daping Chu, Sohini Kar‐Narayan, Wenyu Wang, Yan Yan Shery Huang

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Determination of Flow Conditions in Coronary Bifurcation Lesions in the Context of the Medina Classification by Marjan Molavi Zarandi, Rosaire Mongrain, Olivier F. Bertrand

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Classification of Five Uremic Solutes according to Their Effects on Renal Tubular Cells by Takeo Edamatsu, Ayako Fujieda, Atsuko Ezawa, Yoshiharu Itoh

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