Advanced heart disease classification based on multi-channel heart sound coupling features. by Yu Fang, Dongbo Liu, Zijian Guo, Hongxia Leng, Xing Liu, Xiaochen Wu

“…To address this issue, a novel classification framework based on multi-channel heart sound coupling feature extraction is proposed to enhance heart disease identification. …”
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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…This paper analyzes various Convolutional Neural Network (CNN) models, including VGG16, ResNet50, DenseNet121, and EfficientNet, exploring their integration within the FL framework to enhance diagnostic accuracy while preserving patient data privacy. …”
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Automated identification of sedimentary structures in core images using object detection algorithms. by Ammar J Abdlmutalib, Korhan Ayranci, Umair Bin Waheed, Hamad D Alhajri, James A MacEachern, Mohammed N Al-Khabbaz

“…This study establishes a robust framework for advancing automated facies analysis in sedimentological research and geoscientific applications.…”
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Data-Enabled Intelligence in Complex Industrial Systems Cross-Model Transformer Method for Medical Image Synthesis by Zebin Hu, Hao Liu, Zhendong Li, Zekuan Yu

“…However, GAN still builds the main framework based on convolutional neural network (CNN) that exhibits a strong locality bias and spatial invariance through the use of shared weights across all positions. …”
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Optimizing Deep Learning Models for Resource‐Constrained Environments With Cluster‐Quantized Knowledge Distillation by Niaz Ashraf Khan, A. M. Saadman Rafat

“…ABSTRACT Deep convolutional neural networks (CNNs) are highly effective in computer vision tasks but remain challenging to deploy in resource‐constrained environments due to their high computational and memory requirements. …”
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Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network by Ivan Jerković, Željana Bašić, Ivana Kružić

“…The model, optimized for small datasets with 1D convolutional layers and global size features, was first applied in an unsupervised framework. …”
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Addressing spatial imprecision in deep learning for satellite imagery-based socioeconomic predictions by Heather Baier, Dan Runfola

“…This paper introduces the Spatial Imprecision Adjustment (SIA) method, a neural-network-based post-processing framework designed to enhance the predictive accuracy of geospatial deep learning models trained on imprecise labels, a common challenge in socioeconomic survey data. …”
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Remote sensing image protection using CTRSU-Net, SegNet + and ensemble learning by De Li, Chao Song, Xun Jin

“…Therefore, we propose a new protection framework, specifically, through remote sensing image feature extraction and identification, achieving copyright protection. …”
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Unpaired Image-to-Image Translation with Diffusion Adversarial Network by Hangyao Tu, Zheng Wang, Yanwei Zhao

“…In summary, the CycleGAN framework is utilized to achieve unpaired image translation through the application of cycle-consistent loss. …”
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Synthetic healthcare data utility with biometric pattern recognition using adversarial networks by Adil O. Khadidos, Hariprasath Manoharan, Alaa O. Khadidos, Shitharth Selvarajan, Subhav Singh

“…Furthermore, to improve the quality of synthetic data, a deep convolutional adversarial network is examined under several operational modes. …”
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Semi-Supervised Atmospheric Turbulence Mitigation Based on Hybrid Models by Wenhao Chu, Zhi Cheng, Lixin He

“…Secondly, a simple convolutional neural network containing a lightweight feature extraction residual module was used for deblurring. …”
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Emotion Recognition from EEG Signals Using Advanced Transformations and Deep Learning by Jonathan Axel Cruz-Vazquez, Jesús Yaljá Montiel-Pérez, Rodolfo Romero-Herrera, Elsa Rubio-Espino

“…Neuroscience and psychology have established models that classify universal human emotions, providing a foundational framework for developing emotion recognition systems. …”
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Tree inventory analysis using AI and GIS in Uzbekistan: A case study from Tashkent by Sobirov Ulmas, Alikulova Feruza

“…This study offers a valuable framework for Tashkent and similar cities, contributing to sustainable urban planning and resilience against environmental stressors through data-driven urban forestry practices.…”
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A Survey of Deep Learning-Driven 3D Object Detection: Sensor Modalities, Technical Architectures, and Applications by Xiang Zhang, Hai Wang, Haoran Dong

“…Through a dual-axis “sensor modality–technical architecture” classification framework, it systematically analyzes detection methods based on RGB cameras, LiDAR, and multimodal fusion. …”
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SIAT: Pedestrian trajectory prediction via social interaction-aware transformer by Chengdong Wang, Jianming Wang, Wenbo Gao, Lei Guo

“…SIAT’s contributions include improved precision through temporal and spatial processing, deep contextual understanding of pedestrian dynamics, and robustness across various settings. The novel model framework establishes a new benchmark for mixed models in trajectory prediction.…”
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Improving classifier decision boundaries and interpretability using nearest neighbors by Johannes Schneider, Arianna Casanova

“…Through diverse evaluations using both self-trained and state-of-the-art pre-trained convolutional neural networks, we show that our framework enhances (i) resistance to label noise, (ii) robustness against adversarial attacks, (iii) classification accuracy, and offers novel approaches for (iv) interpretability. …”
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Fault Diagnosis for Rolling Bearings Under Complex Working Conditions Based on Domain-Conditioned Adaptation by Xu Zhang, Gaoquan Gu

“…Finally, within a structural risk minimization framework, model parameters are iteratively optimized to achieve minimal distribution discrepancy, resulting in an optimal coefficient matrix for fault diagnosis. …”
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Exploring Low-Cost Platforms for Automatic Chess Digitization by David Mallasén, María José Belda, Alberto A. del Barrio, Fernando Castro, Katzalin Olcoz, Manuel Prieto-Matias

“…In our study, we adapted these techniques specifically for cost-effective single-board computers like the Nvidia Jetson Nano. Our framework combines a swift chessboard detection method with a Convolutional Neural Network for piece recognition. …”
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High Fidelity Single-Pixel Imaging by Chao Deng, Xuemei Hu, Xiaoxu Li, Jinli Suo, Zhili Zhang, Qionghai Dai

“…Specifically, we can represent the target scene via convolving with a set of statistically learned kernels, with the convolution coefficient matrix being sparse. We introduce the above local prior into conventional SPI framework to promote the final reconstruction quality. …”
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Automatic detection of teacher behavior in classroom videos using AlphaPose and Faster R-CNN algorithms by Jing Huang, Harwati Hashim, Helmi Norman, Mohammad Hafiz Zaini, Xiaojun Zhang

“…This study proposes an automated classification framework for evaluating teacher behavior in classroom settings by integrating AlphaPose and Faster region-based convolutional neural networks (R-CNN) algorithms. …”
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