Design patent classification for changes in automotive interior design paradigm by Wonjoon Yoon, Jieun Kim

“…Through a comparison with the Locarno classification for validation, results showed that the proposed design classification received higher scores for both usability(mean 3.94 vs 2.28) and taxonomic(mean 4.35 vs 2.65) entries. …”
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Universal classification of traumatic damages of internal structures of crops seeds by I. A. Pekhal’Skiy

“…It was established that reduction of field germination by 1 percent reduces yield of spring grain crops by 1.5-2.0 percent, and winter ones - by 1.0-1.5 percent. The universal classification of traumatic damages of crops seeds internal structures was suggested.…”
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Medical short text classification via Soft Prompt-tuning by Xiao Xiao, Han Wang, Feng Jiang, Tingyue Qi, Wei Wang

“…However, the challenges posed by the short length, professional medical vocabulary, complex medical measures, and feature sparsity are further magnified in medical short text classification compared to general domains. This paper introduces a novel soft prompt-tuning method designed specifically for medical short text classification. …”
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The phenomenon of clonal hematopoiesis: etiology, classification and its prognostic role by E. O. Kunevich, M. A. Mikhaleva, O. B. Krysyuk, A. N. Bogdanov, A. A. Zhernyakova, S. V. Voloshin

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The Impact of Host-galaxy Properties on Supernova Classification with Hierarchical Labels by V. Ashley Villar, Sebastian Gomez, Edo Berger, Alex Gagliano

“…In the absence of redshift information, however, galaxy properties significantly increase the accuracy of photometric classification. As a part of this analysis, we present the first formal application of a new objective function, the weighted hierarchical cross entropy, to the problem of SN classification. …”
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Deep learning-based lung cancer classification of CT images by Mohammad Khalid Faizi, Yan Qiang, Yangyang Wei, Ying Qiao, Juanjuan Zhao, Rukhma Aftab, Zia Urrehman

“…In this work, we introduce DCSwinB, a novel deep learning-based lung nodule classifier designed to improve the accuracy and efficiency of benign and malignant nodule classification in CT images. Built on the Swin-Tiny Vision Transformer (ViT), DCSwinB incorporates several key innovations: a dual-branch architecture that combines CNNs for local feature extraction and Swin Transformer for global feature extraction, and a Conv-MLP module that enhances connections between adjacent windows to capture long-range dependencies in 3D images. …”
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DCT and SVD Sparsity-Based Compressive Learning on Lettuces Classification by Lutvi Murdiansyah Murdiansyah, Gelar Budiman, Indrarini Irawati, Sugondo Hadiyoso, A. V. Senthil Kumar

“… Compressive Sensing (CS) technique in image compression represents efficient signal which offering solutions in image classification where the resources are constrained especially on a large image processing, storage resource, and computing performance. …”
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Aviation Rivet Classification and Anomaly Detection Based on Deep Learning by Xiao-bo Zhu

“…The results show that (1) the algorithm proposed in this paper can realize the classification of aviation rivets and the detection of abnormal conditions, the confidence of the detection results is more than 90%, and the average precision, recall, and AP value are above 95%, 85%, and 88%, respectively. (2) The order of rivet classification and abnormal detection effect from good to bad is Philips screws, round head rivets, flat head rivets, countersunk head rivets, blind rivets, and abnormal condition. (3) Compared with other algorithms, the aviation rivet classification abnormal target detection based on deep learning has absolute advantages in accuracy and speed.…”
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Comparison of Classification Algorithms with Bag of Words Feature in Sentiment Analysis by Fenilinas Adi Artanto

“…This study provides an overview of user sentiment analysis of the game “Hantu Tung Tung Tung Sahur 3D,” a culturally viral application anomaly italian brainroot among young people on the Google Play Store during the month of Ramadan. …”
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Neural network classification of Barnes maze search strategy utilization by Scott Ferguson, Coral Hahn-Townsend, Benoit Mouzon, Salina Yathiraj, Giovanni Brunetti, Nicole Saltiel, Cillian E. Lynch, Michael Mullan, Fiona Crawford

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Classification of Rangeland Bioclimatic Areas of Iran Based on Spectral Analysis by A. Keshavarz, R. Modarres, S.A.R. Gohari

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Computed tomography classification of endoscopic retrograde cholangiopancreatography‐related perforation by Jhong‐Han Wu, Hong‐Ming Tsai, Chiung‐Yu Chen, Yao‐Sheng Wang

“…Fifteen patients (37%) had an unknown Stapfer classification. More than half of the patients in the air‐fluid group had a Clavien‐Dindo complication grade of >3. …”
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Classification of Different Age Groups of People by Using Deep Learning by Bülent Turan, Özkan İnik

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Implementation of MobileNet Architecture for Skin Cancer Disease Classification by Haniifa Aliila Faudyta, Jesica Trivena Sinaga, Egia Rosi Subhiyakto

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A multi-scalar classification system for the terrestrial vegetation of the world by Javier Loidi

“…An approach is proposed for a general multiscale classification of terrestrial vegetation applicable to the whole world; only the outline and principles are presented. …”
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Convolutional neural networks for road surface classification on aerial imagery by Ondrej Pesek, Lina Krisztian, Martin Landa, Markus Metz, Markus Neteler

“…Yet, research on automated road surface classification from remotely sensed data is peculiarly scarce. …”
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Segmentation for mammography classification utilizing deep convolutional neural network by Dip Kumar Saha, Tuhin Hossain, Mejdl Safran, Sultan Alfarhood, M. F. Mridha, Dunren Che

“…We also compared the performance of the proposed model with other transformer model vision transformers (ViT) and DL models, MobileNetV3 and EfficientNetB7, respectively. Conclusions In this study, a modified transformer model is proposed for BC prediction and mammography image classification using segmentation approaches. …”
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LEACHED SOILS IN SLOVENIA: PEDOLOGICAL PROPERTIES, SPATIAL DISTRIBUTION AND CLASSIFICATION by Rok TURNIŠKI, Helena GRČMAN

“…As reported in Slovenian soil map 1 : 25.000 leached soils cover 2,3 % of Slovenian territory. They occur on different parent materials, mostly on flat relief preserved from erosion and colluvial processes. …”
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A Study on Text Classification in the Age of Large Language Models by Paul Trust, Rosane Minghim

“…Our overall conclusions show the following: 1—even with synthetic labels, fine-tuning works better than prompting techniques, and increasing model size does not always improve classification performance; 2—discriminatively trained models generally perform better than generatively pre-trained models; and 3—fine-tuning models at 16-bit precision works much better than using 8-bit or 4-bit models, but the performance drop from 8-bit to 4-bit is smaller than from 16-bit to 8-bit. …”
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Assessing the AIR classification reliability for estimating pronation of the first metatarsal by Ning Sun, Xuewen Wang, Xiangyu Xu, Heng Li, Wenjing Li, Xiaofeng Gong, Hui Du, Yong Wu

“…Between the two AIR classifications, the visual inspection measurement seems to be more reliable according to kappa value. …”
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