Dual-channel knowledge attention for traditional Chinese medicine syndrome differentiation by Boting Liu, Hengqiu Huang, Xiaoman Liu, Juntao Zhao, Jiean Mo

“…A dual-channel network, comprising an improved Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) network, is employed to capture both critical local information and global patterns in TCM texts. …”
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AI-Enhanced Detection of Heart Murmurs: Advancing Non-Invasive Cardiovascular Diagnostics by Maria-Alexandra Zolya, Elena-Laura Popa, Cosmin Baltag, Dragoș-Vasile Bratu, Simona Coman, Sorin-Aurel Moraru

“…This study presents a novel convolutional recurrent neural network (CRNN) model designed for the non-invasive classification of heart murmurs. …”
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An ensemble deep learning model for author identification through multiple features by Yuan Zhang

“…The different sets of features are fed through separate Convolutional Neural Networks (CNN) so that the specific stylistic features can be extracted. …”
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PolyNet: A self-attention based CNN model for classifying the colon polyp from colonoscopy image by Khaled Eabne Delowar, Mohammed Borhan Uddin, Md Khaliluzzaman, Riadul Islam Rabbi, Md Jakir Hossen, M. Moazzam Hossen

“…We examined different CNN architectures and developed a good convolutional neural network (CNN) model for correctly predicting colon polyps using the Kvasir dataset. …”
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Prediction and Parameter Optimization of Surface Settlement Induced by Shield Tunneling Using Improved Informer Algorithm by Shisen Zhao, Xianda Feng, Kefeng Peng

“…To address the limitations of the Informer algorithm in predicting surface settlement during shield tunneling, the standard convolution was replaced with dilated causal convolution, and three measures were employed: soil layer classification and characterization, a moving prediction window, and special factor handling. …”
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Deep Learning Neurons in Medical Insight: Revolutionizing Image Analysis for Disease Prediction and Diagnosis by Moise Hermann Mabouh

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Implementation of an AI English-Speaking Interactive Training System Using Multi-Model Neural Networks by Ching-Ta Lu, Yen-Yu Lu, Yi-Ru Lu, Ying-Chen Pan, Yu-Chun Liu

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CNN-Based Phase Matching for the OAM Mode Selection in Turbulence Heterodyne Coherent Mitigation Links by Chunyong Yang, Kaige Shan, Jun Chen, Jin Hou, Shaoping Chen

“…It is worth mentioning that intelligent phase matching (IPM) of the OAM beams based on the convolutional neural network (CNN) is the remarkable feature. …”
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A Comprehensive Review on Unsupervised Domain Adaptation for 3D Segmentation and Reconstruction in CT Urography Imaging by Shreya, Sushanth, Dasharathraj K. Shetty, Shreepathy Ranga Bhatta, Nikita Panwar

“…Computed tomography urography (CTU) is a specialized radiological procedure that produces finely detailed pictures of the urinary system, comprising the kidneys, ureters, and bladder, using computed tomography (CT) scans. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…The one-stage object detection algorithm achieves end-to-end detection by using a single convolutional neural network to directly predict the target location and category. …”
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DGNMDA: Dual Heterogeneous Graph Neural Network Encoder for miRNA-Disease Association Prediction by Daying Lu, Qi Zhang, Chunhou Zheng, Jian Li, Zhe Yin

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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…While maintaining the deep feature extraction capability of VGG19, which is well-regarded in the field, the model employs specially designed convolutional layers and skip connections. …”
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On the Laplace Transforms of Derivatives of Special Functions with Respect to Parameters by Sergei Rogosin, Filippo Giraldi, Francesco Mainardi

“…These formulas are represented in a convoluted form and reconstructed in a more suitable form by using the Efros theorem.…”
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IRSD-Net: An Adaptive Infrared Ship Detection Network for Small Targets in Complex Maritime Environments by Yitong Sun, Jie Lian

“…To address these issues, we propose an Infrared Ship Detection Network (IRSD-Net), a lightweight and efficient detection network built upon the YOLOv11n framework and specially designed for infrared maritime imagery. IRSD-Net incorporates a Hierarchical Multi-Kernel Convolution Network (HMKCNet), which employs parallel multi-kernel convolutions and channel division to enhance multi-scale feature extraction while reducing redundancy and memory usage. …”
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Resultant Force on Grains of a Real Sand Dune: How to Measure It? by R. F. Miotto, C. A. Alvarez, D. S. Borges, W. R. Wolf, E. M. Franklin

“…Here, based on subaqueous experiments using a high‐speed camera, discrete numerical computations solving the motion at the grain scale, and a special training of a convolutional neural network, we show that it is, in fact, possible to estimate the resultant force acting on the grains of a barchan dune by using images. …”
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IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting by Lianfei Yu, Ziling Wang, Wenxi Yang, Zhijian Qu, Chongguang Ren

“…Most of the existing traffic flow forecasting methods are static graph convolutional networks based on prior knowledge, ignoring the special spatial–temporal dynamics of spatial–temporal data. …”
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Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model by Santosh Kumar Henge, Nikhil Reddy Viraati, Musaed Alhussein, Ajay Shriram Kushwaha, Khursheed Aurangzeb, Ravleen Singh

“…The model undergoes thorough pre-processing and testing phases, utilizing eight layers of convolutions at each stage to handle various data matrices and integrate global and specialized features. …”
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Edge-Enhanced GCIFFNet: A Multiclass Semantic Segmentation Network Based on Edge Enhancement and Multiscale Attention Mechanism by Long Chen, Zhiyuan Qu, Yao Zhang, Jingyang Liu, Ruwen Wang, Dezheng Zhang

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F-OSFA: A Fog Level Generalizable Solution for Zero-Day DDOS Attacks Detection by Muhammad Rashid Minhas, Qaisar M. Shafi, Shoab Ahmed Khan, Tahir Ahmad, Subhan Ullah, Attaullah Buriro, Muhammad Azfar Yaqub

“…To tackle this, we propose the Fog-based One Solution For All (F-OSFA) system - a model with three specialized components. The first component uses a hybrid machine learning and deep learning framework that combines convolutional neural networks (CNNs) and decision trees to detect traditional DDoS attacks. …”
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Galaxy Spectroscopy without Spectra: Galaxy Properties from Photometric Images with Conditional Diffusion Models by Lars Doorenbos, Eva Sextl, Kevin Heng, Stefano Cavuoti, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo, Raphael Sznitman, Pablo Márquez-Neila

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