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Artificial intelligence

Interpretable prediction of dynamic compressive strength of red sandstone under wetting-drying cycles using ensemble learning

Bin Du, Wei Qi, Haibo Bai

Unsupervised seamless UAV image stitching via dense prediction

Jun Chen, Honghua Tang, [ ... ], Jianhui Li

Data-driven differentiation analysis of urban high-tech industries: Research on bibliometrics and large language models

Hua Song, Jun Zeng, [ ... ], Hongyu Wang

A multi-period robust portfolio optimization framework using yager’s entropy

Arman Khosravi, Seyed Jafar Sadjadi

Analyzing the performance of deep learning splice prediction algorithms

Nathan Fortier, Gabe Rudy, Andreas Scherer

Hybrid attention-based multi-class classification of Ethiopian legal texts using deep learning

Amlakie Aschale Alemu, Malefia Demilie Melese, Daniel Arega Mengesha, Misganaw Aguate Widneh

Classification of soft decision-making methods via fuzzy parameterized fuzzy soft matrices and their performance-based statistical analysis in machine learning

Ömer Karakoç, Samet Memiş, Bahar Sennaroglu

GBCapsNet: A calibrated capsule network for automated gallbladder disease diagnosis via ultrasound imaging

Madhu Golla, Hareesha Katiganere Siddaramappa, [ ... ], Pradeep Nijalingappa

Validation of deep learning enabled web based and smartphone optimized application RadAnalyzer to measure vertebral heart size and vertebral left atrial size in dogs

Sonya Gordon, Tomas Reyes, [ ... ], Alice Watson

A deep learning framework for the localization of landmarks on the lateral semi circular canals

Zhixuan Wei, Sudanthi Wijewickrema, [ ... ], Stephen O’Leary

High-performance RT-DETR model for industrial defect detection with semantic guidance and hierarchical attention

Jin Huang, Bin Gu, [ ... ], Taihua Zhang

Comparing machine and deep learning models for pediatric anxiety classification using structured EHRs and area-based measures of health data

Eric W. Lee, Sanghyun Choo, [ ... ], Greeshma Agasthya

Using deep learning to identify inherited retinal diseases based on wide-field retinal imaging data

Leo Joskowicz, Tim Buchbinder, [ ... ], Jaime Levy

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