Studying the fracture surface of brass CuZn37 and aluminum 1100 and their relationship with formability in Single Point Incremental Forming by Marwa K. Qate'a, Muhsin J. Jweeg, Adnan I. Mohammed

“… Single Point Incremental Forming was conducted on Aluminum1100 and Brass CuZn37 to form a hyperbolic truncated pyramid with varying wall angles until the fracture occurs. …”
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Classification results for polyharmonic helices in space forms by Branding, Volker

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Productivity and commercial classification of pitaya in orchard with pollination by Cíntia Gonçalves Sena, Deilson de Almeida Alves, Maria do Céu Monteiro Cruz, Núbia Cassiana Santos, João Esdras Lima, Amanda Gonçalves Guimarães

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ECG heartbeat classification using progressive moving average transform by Rabah Mokhtari, Samir Brahim Belhouari, Khelil Kassoul, Abderraouf Hocini

“…The approach aims to enhance signal analysis and classification, particularly in the context of heartbeat classification. …”
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Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

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Cross-ViT based benign and malignant classification of pulmonary nodules. by Qinfang Zhu, Liangyan Fei

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IMA Commission on New Minerals, Nomenclature and Classification (CNMNC) – Newsletter 83 by F. Bosi, F. Bosi, F. Hatert, F. Hatert, M. Pasero, M. Pasero, S. J. Mills, S. J. Mills

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Posterior Shoulder Instability in Tennis Players: Aetiology, Classification, Assessment and Management by Lyn Watson, Gregory Hoy, Timothy Wood, Tania Pizzari, Simon Balster, Shane Barwood, Sarah Ann Warby

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Transforming Alzheimer’s Disease Diagnosis: Implementing Vision Transformer (ViT) for MRI Images Classification by Dian Kurniasari, Muhammad Dwi Pratama, Akmal Junaidi, Ahmad Faisol

“…However, some challenges remain, particularly in the classification between “Non-Demented” and “Very Mild Demented” cases. …”
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Deep Learning Classification of High-Resolution Drone Images Using the ArcGIS Pro Software by Amr Abd-Elrahman, Katie Britt, Tao Liu

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RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

“…The research is fully committed to identifying abnormalities within this complex environment, going beyond the classification of subtypes of ovarian cancer. We proposed a new Attention Embedder, a state-of-the-art model with effective results in ovarian cancer subtype classification and outlier detection. …”
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Agricultural and Related Pest Control Applicator License Classifications under the Florida Department of Agriculture and Consumer Services (FDACS) by Frederick M. Fishel

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Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia by W. A. Barragán-Hernández, L. Mahecha-Ledesma, J. Angulo-Arizala, M. Olivera-Angel

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Classification of peripheral vitreoretinal interface lesions using spectral-domain optical coherence tomography with guidance of ultrawide field imaging by Weiwei Zheng, Ying Huang, Ying Huang, Shanshan Qian, Bing Lin, Bing Lin, Shenghai Huang, Shenghai Huang

“…Of the 37 vitreoretinal tuft lesions, 32.4% were classified as category B2 and 16.2% as category C, according to peripheral OCT classification. …”
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Identification and Classification of Factors Influencing the Regulation of Priority Goods Markets Based on Network Governance with an Interpretive Structural Modeling Approach by sadegh Dadashi, Fattah Sharifzadeh, Reza Vaezi, Hossein Aslipour

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Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

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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

“…Results: Immature SR was not observed in any of the well-differentiated squamous cell carcinoma (SCC) cases. However, one (3.7%) case of moderately differentiated SCC and two (28.6%) cases of poorly differentiated SCC showed signs of immature SR. …”
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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

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VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models by Spoorthy Torne, Dasharathraj K. Shetty, Krishnamoorthi Makkithaya, Prasiddh Hegde, Manu Sudhi, Phani Kumar Pullela, T Tamil Eniyan, Ritesh Kamath, Staissy Salu, Pranav Bhat, S. Girisha, P. S. Priya

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