A Focal Attention-Based Large Convolutional Kernel Network for Anomaly Detection of Coated Fuel Particles by Zhaochuan Hu, Jiang Yu, Hang Zhang, Jian Liu, Ning Chen, Rong Li

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Bacterial Disease Detection of Cherry Plant Using Deep Features by Hatice Kayhan, Emrah Dönmez, Yavuz Ünal

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3D tooth identification for forensic dentistry using deep learning by Hamza Mouncif, Amine Kassimi, Thierry Bertin Gardelle, Hamid Tairi, Jamal Riffi

“…Abstract The classification of intraoral teeth structures is a critical component in modern dental analysis and forensic dentistry. …”
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Ecological Zonation As A Tool For Restoration Of Degraded Forests In Northern Mongolia by Antonín Kusbach, Tadeáš Štěrba, Jan Šebesta, Tomáš Mikita, Enkhtuya Bazarradnaa, Sarantuya Dambadarjaa, Martin Smola

“…Our analysis included clustering, ordination, classification, and ANOVA techniques. Based on the complex data set, we identified three geo-vegetation zones: forest-steppe, montane and dark taiga zone. …”
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An Indian UAV and leaf image dataset for integrated crop health assessment of soybean cropMendeley Data by Sayali Shinde, Vahida Attar

“…However, despite of its significance, several issues such as weeds, diseases, and pests hamper the overall productivity of soybean. …”
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Detection of Suicidal Ideation on Twitter using Machine Learning & Ensemble Approaches by Syed Tanzeel Rabani, Qamar Rayees Khan, Akib Mohi UD Din Khanday

“…Suicidal ideation is one of the most severe mental health issues faced by people all over the world. There are various risk factors involved that can lead to suicide. …”
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Modern  trends  of  development  of  economic  Analysis  Methods by N.   S.  Plaskova, Е. V. Prokofieva

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ResSAXU-Net for multimodal brain tumor segmentation from brain MRI by Zheyuan Xiong

“…Combining dice loss and cross-entropy loss, the fusion loss function is introduced to deal with issues such as network convergence and data imbalance, and then Ressaxu-Net performance was simulated using the Brats2018 and Brats2019 datasets study, examining how the model performs in brain tumour classification. …”
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Scientific review of protocols to enhance informativeness of global health clinical trials by B. Burford, T. Norman, S. Dolley

“…The median number of recommendations per protocol was 28 (range: 13 to 52), covering a wide range of issues related to clinical trial design, implementation, analysis, and impact. …”
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Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques by Hesham Kamal, Maggie Mashaly

“…The results demonstrate that our method achieves an impressive 99.71% accuracy in binary classification and 99.02% in multi-class classification on the NF-UNSW-NB15-v2 dataset, while for the CICIDS2017 dataset, it reaches 99.93% in binary classification and 99.13% in multi-class classification, significantly outperforming existing models. …”
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Ransomware Family Attribution With ML: A Comprehensive Evaluation of Datasets Quality, Models Comparison, and a Simulated Deployment by Emilio Rios-Ochoa, Jesus Arturo Perez-Diaz, Enrique Garcia-Ceja, Gerardo Rodriguez-Hernandez

“…For instance, most studies focus solely on binary classification, overlook dataset quality issues, and rarely evaluate model performance in practical deployment environments. …”
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Assessment of Soils along the Toposequence of Tsokundi River in Wukari LGA, Taraba State, Northeastern Nigeria by Adashu Tanko Gani, Jacob Usman

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A systematic review of validity and reliability assessment of measuring Spasticity Evaluation Tool and Wheelchair Skills Tests at the level of international classification of funct... by Zahra Hosseinzadeh, Mohammad karimizadeh Ardakani, Hooman Minoonejad

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Modulation recognition method based on multiscale convolutional fusion coding networks by LI Guojun, ZHU Siyuan, ZHENG Jianzhong, WANG Jie, YE Changrong

“…To address the issue of insufficient feature extraction in existing modulation recognition methods that limited classification accuracy, a Transformer-based modulation recognition method was proposed. …”
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A Classificacao Internacional de Doencas, a Familia de Classificacoes Internacionais, a CID-11 e a Sindrome Pos-Poliomielite by Ruy Laurenti, Heloisa Brunow Ventura Di Nubila, Abrahao Augusto Joviniano Quadros, Monica Tilli Reis Pessoa Conde, Acary Souza Bulle Oliveira

“…The first International Classification of Diseases (ICD) was approved in 1893 and since then it has been periodically reviewed. …”
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Coğrafyacılar Tarafından Yapılan Arazi Kullanım Çalışmaları Üzerine Kavramsal ve Yöntemsel Öneriler by Ali Özçağlar

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Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions by Teerath Kumar, Rob Brennan, Alessandra Mileo, Malika Bendechache

“…This survey explores the mitigation of the overfitting issue through a comprehensive examination of image data augmentation techniques, which aim to enhance dataset size and diversity by introducing varied samples. …”
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MVSAPNet: A Multivariate Data-Driven Method for Detecting Disc Cutter Wear States in Composite Strata Shield Tunneling by Yewei Xiong, Xinwen Gao, Dahua Ye

“…However, existing methods that treat the problem as a classification task often overlook the issue of data imbalance. …”
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Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

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A Robust Enhanced Ensemble Learning Method for Breast Cancer Data Diagnosis on Imbalanced Data by Zhenzhen Wang, Junde Xie, Jia Zhang

“…Addressing class imbalance in breast cancer data is essential for enhancing detection accuracy, yet traditional machine learning methods often overlook this imbalance, limiting their classification performance. To tackle this issue, we propose a robust enhanced ensemble learning method (REEL). …”
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