Issues of concern and development of classifications of the main parameters of therapy quality and compliance. Part III: quality of pharmacotherapy by Yu. V. Lukina, N. P. Kutishenko, S. Yu. Martsevich, O. M. Drapkina

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Causal Intervention-Based Multimodal Class-Incremental Learning Network for 3D Model Classification and Retrieval by Qiang Li, Qiu-Yang Ma, Ning Zhang, Wei-Zhi Nie

“…We propose a causal intervention-based multimodal class-incremental learning framework to address the stability-plasticity trade-off in 3D model classification and retrieval tasks. By employing backdoor adjustment-based causal intervention, our approach decouples historical task biases from new knowledge acquisition. …”
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On-farm 3D images of beef cattle for the prediction of carcass classification traits and cold carcass weight by H. Nisbet, N. Lambe, G.A. Miller, A. Doeschl-Wilson, D. Barclay, A. Wheaton, C-A. Duthie

“…This means that the target classification grades cannot be accurately estimated, leading to over− and under-finished animals being sent to slaughter. …”
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Classification of Red Foxes: Logistic Regression and SVM with VGG-16, VGG-19, and Inception V3 by Brian Sabayu, Imam Yuadi

“…This study conducts an evaluation of three deep learning architectures: Inception V3, VGG-16, and VGG-19, utilizing images of red foxes. …”
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Enhancing Lidar-Based 3D Classification Through an Improved Deep Learning Framework With Residual Connections by Shih-Lin Lin, Jun-Yi Wu

“…In this work, we leverage automotive LiDAR point cloud data, which are inherently sparse, noisy, and unstructured, posing challenges to conventional classification methods. To address these difficulties, we adopt deep learning-based 3D neural networks and specifically enhance the VoxNet architecture. …”
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Fault Classification of 3D-Printing Operations Using Different Types of Machine and Deep Learning Techniques by Satish Kumar, Sameer Sayyad, Arunkumar Bongale

“…Fused deposition modeling (FDM), a method of additive manufacturing (AM), comprises the extrusion of materials via a nozzle and the subsequent combining of the layers to create 3D-printed objects. FDM is a widely used method for 3D-printing objects since it is affordable, effective, and easy to use. …”
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Learning-based 3D human kinematics estimation using behavioral constraints from activity classification by Daekyum Kim, Yichu Jin, Haedo Cho, Truman Jones, Yu Meng Zhou, Ameneh Fadaie, Dmitry Popov, Krithika Swaminathan, Conor J. Walsh

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Multi-Scale Feature Extraction with 3D Complex-Valued Network for PolSAR Image Classification by Nana Jiang, Wenbo Zhao, Jiao Guo, Qiang Zhao, Jubo Zhu

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Multi-Class Brain Lesion Classification Using Deep Transfer Learning With MobileNetV3 by Ahmed Firas Majeed, Pedram Salehpour, Leili Farzinvash, Saeid Pashazadeh

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Exploration of 3D Few-Shot Learning Techniques for Classification of Knee Joint Injuries on MR Images by Vinh Hiep Dang, Minh Tri Nguyen, Ngoc Hoang Le, Thuan Phat Nguyen, Quoc-Viet Tran, Tan Ha Mai, Vu Pham Thao Vy, Truong Nguyen Khanh Hung, Ching-Yu Lee, Ching-Li Tseng, Nguyen Quoc Khanh Le, Phung-Anh Nguyen

“…However, creating robust 3D FSL frameworks for varied knee injuries remains challenging. …”
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Multi-Feature Lightweight DeeplabV3+ Network for Polarimetric SAR Image Classification with Attention Mechanism by Junfei Shi, Shanshan Ji, Haiyan Jin, Yuanlin Zhang, Maoguo Gong, Weisi Lin

Subjects: “…polarimetric SAR image classification…”
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Enhancing book genre classification with BERT and InceptionV3: a deep learning approach for libraries by Xinting Yang, Zehua Zhang

Subjects: “…Book genre classification…”
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Calculation Method of Downstream Water Level in Non-Spilling Periods of Hydropower Stations Based on Decision Tree Classification and Multiple Linear Regression by LI Yinghai, HE Liangzhe, ZHANG Hairong, NIE Panpan, QIN Hui, YANG Qingyu, GUO Jiali

“…A multiple linear regression calculation method based on decision tree classification is proposed. This method first employs the classification and regression tree (CART) algorithm, using long-series measured data from hydropower stations to establish decision tree classification rules and classify data of different operation working conditions. …”
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Classification of Precipitation Types and Investigation of Their Physical Characteristics Using Three-Dimensional S-Band Dual-Polarization Radar Data by Choeng-Lyong Lee, Wonbae Bang, Chia-Lun Tsai, GyuWon Lee

“…Based on three-dimensional radar data and temperature fields, CP integrates three approaches: Storm Labeling in Three Dimensions (SLTD), a feature parameter-based algorithm (FP), and an advanced subcategorization method. …”
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Comparison of the performance of three classification criteria for Behçet's Disease in a single centre cohort from South India by Vishnu S Chandran, Suma Balan

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Testing the Algorithm of Area Optimization by Binary Classification with Use of Three State 2D Cellular Automata in Layers by Miroslaw Szaban, Anna Wawrzynczak

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Iliac wing fractures: Utilizing a novel classification system for tailored surgical management in three case studies by Edgar Barros Prieto, Eduardo Noboa, Carlos Peñaherrera Carrillo, Francisco Endara, Paul Vaca Perez, Alejandro Barros Castro, Armando Sánchez

“…In this study, we review the literature and present three clinical cases managed surgically to highlight the challenges and nuances in treating iliac wing fractures. …”
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Three decades of wetland transformation in the middle and lower Yangtze River Basin: classification, inundation dynamics, and ecological impacts by Pingheng Li, Qing Wang, Muhammad Umair, Nargizakhon Shamshieva, Yichen Zheng

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Revision of Entrophosporales, with Three Genera and an Identification Key for All Species Currently Attributed to This Order by Gladstone Alves da Silva, Ewald Sieverding, Daniele Magna Azevedo de Assis, Bruno Tomio Goto, Mike Anderson Corazon-Guivin, Fritz Oehl

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Classification and Comparison of Eight Different Growth Curve Methods for Pekin Duck by Hasan Önder, Mine Yılmaz, Mustafa Şahin, Uğur Şen, Sibel Bozkurt, Kadir Erensoy, İsmail Gök, Tolga Tolun, Ahmet Uçar

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