Prevalence of angle’s classification of malocclusion among patients Attending Orthodontic Department in College of Dentistry‐ retrospective cross‐sectional study by Blend Hussein Mohammad, Mahmood Fawzi Abdul‐Jabbar, Mansour Hadi Mohammed

“…Results: most common malocclusion in order of prevalence were angle`s class I (49.4%) , followed by angle`s class II ( 42.5%) then angle`s class III was the least prevalent among them which is (8%), malocclusion is more frequent among female than male and its more prevalent in the mixed dentition than in permanent. …”
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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

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TERTp Mutation and its Prognostic Value in Glioma Patients Under the 2021 WHO Classification: A Real‐World Study by Hao Xing, Delin Liu, Junlin Li, Yulu Ge, Xiaopeng Guo, Wenlin Chen, Dachun Zhao, Yixin Shi, Yilin Li, Yaning Wang, Yuekun Wang, Yu Xia, Jiaming Wu, Tingyu Liang, Hai Wang, Qianshu Liu, Shanmu Jin, Tian Qu, Siying Guo, Huanzhang Li, Tianrui Yang, Kun Zhang, Yu Wang, Wenbin Ma

“…Aims Given the changes in the entities included in each subtype under the new classification, this research investigated the distribution, prognostic value, and correlations with other molecular alterations of TERTp mutation in different subgroups under this latest classification. …”
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Nonlinear Methodologies for Identifying Seismic Event and Nuclear Explosion Using Random Forest, Support Vector Machine, and Naive Bayes Classification by Longjun Dong, Xibing Li, Gongnan Xie

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Micro-classification of orchards and agricultural croplands by applying object based image analysis and fuzzy algorithms for estimating the area under cultivation by Bakhtiar Feizizadeh, Ali KHedmat Zadeh, Mohammad Reza Nikjoo

“…The area under cultivation included respectively for lands of wheat and barley, prunes and plums, apples, vineyards and alfalfa hay2622.42, 4505, 4354.55, 4457.85, 14110.58 hectares.…”
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Development and Validation of a Novel Classification System and Prognostic Model for Open Traumatic Brain Injury: A Multicenter Retrospective Study by Yuhui Chen, Li Chen, Liang Xian, Haibing Liu, Jiaxing Wang, Shaohuai Xia, Liangfeng Wei, Xuewei Xia, Shousen Wang

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Classification of Speech Emotion State Based on Feature Map Fusion of TCN and Pretrained CNN Model From Korean Speech Emotion Data by A-Hyeon Jo, Keun-Chang Kwak

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Social media network public opinion emotion classification method based on multi-feature fusion and multi-scale hybrid neural network by Yuan Yao, Xi Chen, Peng Zhang

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TerraSAR-X SAR data for classification of ice-free areas and glacier facies on Fildes Peninsula, King George Island, Antarctica by ANDRÉ M. DE ANDRADE, ROBERTO F.M. MICHEL, KÁTIA K. DA ROSA, ULISSES F. BREMER, CARLOS ERNESTO G.R. SCHAEFER, JEFFERSON C. SIMÕES

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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

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Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3 by Abhiram Sharma, R. Parvathi

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Bridging the gap between the public’s knowledge and detection of marine non-indigenous species through developing automated image classification applications for marine species by Peng Zhou, Peng Zhou, Xue-Qing He, Zhi-Yi Tu, Dong Sun, Chun-Sheng Wang, Hong-Bin Shen, Xiaoyong Pan

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Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers by Philip Zehnder, Jeffrey Feng, Trung Nguyen, Philip Shen, Ruth Sullivan, Reina N. Fuji, Fangyao Hu

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Evaluation of the significance of tumor stromal patterns and peri-tumoral inflammation in head and neck squamous cell carcinoma with special reference to the Yamamoto–Kohama classi... by Geet Bhuyan, Prabir Hazarika, Anju M. Rabha

“…Additionally, among the seven (11.7%) cases classified as poorly differentiated carcinoma, three (42.85%) displayed a WPOI score of 5. Conclusion: SR and the tumor invasive pattern in HNSCC are related to prognosis and may indicate tumor aggressiveness.…”
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Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review. by Rabia Asghar, Sanjay Kumar, Arslan Shaukat, Paul Hynds

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Thema and world needs: exploring bibliodiversity through open access book subjects by Ronald Snijder

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An attempt to categorize Hungarian community currencies by Eszter Szemerédi

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A dataset for tactile textures on uneven surfaces collected using a BioIn-Tacto sensing moduleMendeley Data by Maliheh Marzani, Soheil Khatibi, Ruslan Masinjila, Vinicius Prado da Fonseca, Thiago Eustaquio Alves de Oliveira

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A New Diagnosing Method for Psoriasis From Exhaled Breath by Bilge Han Tozlu, Omer Faruk Akmese, Cemaleddin Simsek, Engin Senel

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Voxel Volumes and Biomass: Estimating Vegetation Volume and Litter Accumulation of Exotic Annual Grasses Using Automated Ultra‐High‐Resolution SfM and Advanced Classification Techn... by Josh Enterkine, Ahmad Hojatimalekshah, Monica Vermillion, Thomas Van Der Weide, Sergio A. Arispe, William J. Price, April Hulet, Nancy F. Glenn

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