Application Research of Key Frames Extraction Technology Combined with Optimized Faster R-CNN Algorithm in Traffic Video Analysis by Zhi-guang Jiang, Xiao-tian Shi

“…On this basis, an improved algorithm for vehicle detection based on Faster R-CNN is proposed, and the Faster R-CNN network feature extraction layer is improved by using the principle of residual network, and a hole convolution is added to the network to filter out the redundant features of high-resolution video images to improve the problem of vehicle missed detection in the original algorithm. …”
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Corrigendum - Global prevalence of post-COVID-19 condition: a systematic review and meta-analysis of prospective evidence by Mohamed Kadry Taher, Talia Salzman, Allyson Banal, Kate Morissette, Francesca R. Domingo, Angela M. Cheung, Curtis L. Cooper, Laura Boland, Alexandra M. Zuckermann, Muhammad A. Mullah, Claudie Laprise, Roberto Colonna, Ayan Hashi, Prinon Rahman, Erin Collins, Tricia Corrin, Lisa A. Waddell, Jason E. Pagaduan, Rukshanda Ahmad, Alejandra P. Jaramillo Garcia

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Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

“…Different levels of damage states were introduced at the midspans of these models, and Gaussian-based load time histories were applied at mid-span for dynamic time-history analysis to calculate acceleration data. Then, this acceleration time-history series was transformed into grayscale images, serving as inputs for a Convolutional Neural Network developed to detect and classify structural damage states. …”
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Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Alexandr A. Shilov, Irina Razveeva, Diana Elshaeva, Andrei Chernil’nik, Gleb Onore

“…Architectures based on PointNet and PointCloudTransformer are chosen as the basis for the classification algorithms. The input data were 3D images of crushed stone grains, the shapes of which were divided into needle-shaped, plate-shaped, and cubic classes. …”
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MMAgentRec, a personalized multi-modal recommendation agent with large language model by Xiaochen Xiao

“…Abstract In multimodal recommendation, various data types, including text, images, and user dialogues, are utilized. …”
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Inverse design of face-like 3D surfaces via bi-material 4D printing and shape morphing by Yi-Hung Chiu, Yu-Ting Huang, Mao-Chuan Chen, Yi-Xian Xu, Yu-Chen Yen, Jia-Yang Juang

“…To solve the inverse design problem, we employ a Fully Convolutional Network (FCN) trained on over 100,000 face designs simulated via nonlinear finite element analysis. …”
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Tree Species Classification at the Pixel Level Using Deep Learning and Multispectral Time Series in an Imbalanced Context by Florian Mouret, David Morin, Milena Planells, Cécile Vincent-Barbaroux

“…This paper investigates tree species classification using the Sentinel-2 multispectral satellite image time series (SITS). Despite its importance for many applications and users, such mapping is often unavailable or outdated. …”
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Modeling of Ultrasonic Flaw Detection Processes in the Task of Searching and Visualizing Internal Defects in Assemblies and Structures by B. V. Sobol, A. N. Soloviev, P. V. Vasiliev, A. A. Lyapin

“…The approach combining modeling of ultrasonic wave propagation in acoustic medium and artificial neural network technologies is applied. This approach identifies nonlinear relationships between the geometry of defects and the amplitude-frequency and amplitude-time data obtained during signal analysis. …”
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Molecular mechanisms explaining sex-specific functional connectivity changes in chronic insomnia disorder by Liyong Yu, Zhifu Shen, Wei Wei, Zeyang Dou, Yucai Luo, Daijie Hu, Wenting Lin, Guangli Zhao, Xiaojuan Hong, Siyi Yu

“…Abstract Background This study investigates the hypothesis that chronic insomnia disorder (CID) is characterized by sex-specific changes in resting-state functional connectivity (rsFC), with certain molecular mechanisms potentially influencing CID's pathophysiology by altering rsFC in relevant networks. Methods Utilizing a resting-state functional magnetic resonance imaging (fMRI) dataset of 395 participants, including 199 CID patients and 196 healthy controls, we examined sex-specific rsFC effects, particularly in the default mode network (DMN) and five insomnia-genetically vulnerable regions of interest (ROIs). …”
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Robotic irrigation complex for crop cultivation in irrigated areas by M. G. Zagoruiko, D.  A. Soloviev, N. F. Ryzhko, S. N. Ryzhko

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Evaluation of fractured carbonate reservoir and prediction of favorable areas in the eastern area of Amu Darya Right Bank by Yang Li, Xiaodong Cheng, Leyuan Fan, Liguo Sun, Jiapeng Wu, Jiao Wei

“…To mitigate the limitations of single-attribute analysis, utilize a well-supervised BP neural network method for comprehensive fracture prediction. …”
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Elucidating the associations and molecular mechanisms of perfluoroalkyl substances exposure with type 2 diabetes and its complications: A multifaceted approach by Xinghai Liu, Xin Wang, Li Wang

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THOR2: Topological Analysis for 3D Shape and Color‐Based Human‐Inspired Object Recognition in Unseen Environments by Ekta U. Samani, Ashis G. Banerjee

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A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after stroke by Qingming Qu, Kexu Zhang, Hewei Wang, Hewei Wang, Jie Zhu, Jie Zhu, Yingnan Lin, Jie Jia, Jie Jia, Jie Jia

“…On the basis of ALFF analysis, brain network analysis was performed, and the CRF-related brain regions in patients with stroke were selected as seed points. …”
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A recurrent multimodal sparse transformer framework for gastrointestinal disease classification by V. Sharmila, S. Geetha

“…However, existing diagnostic frameworks often face limitations due to modality imbalance, feature redundancy, and cross-modal inconsistencies, particularly when dealing with heterogeneous data such as medical text and endoscopic images. …”
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Identification of Potential Landslides in the Gaizi Valley Section of the Karakorum Highway Coupled with TS-InSAR and Landslide Susceptibility Analysis by Kaixiong Lin, Guli Jiapaer, Tao Yu, Liancheng Zhang, Hongwu Liang, Bojian Chen, Tongwei Ju

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Performance degradation assessment method for linear motor feed systems driven by digital twins by Zeqing Yang, Yiding Yao, Wei Cui, Yingshu Chen, Beibei Liu, Yi Jin, Yanrui Zhang, Hongwei Zhao, Guofeng Zhang, Wei Yi, Zonghua Zhang

“…The model first converts one-dimensional time-series data into two-dimensional images using GAF encoding, and then utilizes the image recognition capabilities of AlexNet to assess the degradation state of the linear motor feeding system. …”
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Dynamic deep learning based super-resolution for the shallow water equations by Maximilian Witte, Fabrício R Lapolli, Philip Freese, Sebastian Götschel, Daniel Ruprecht, Peter Korn, Christopher Kadow

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A seismic random noise suppression method based on CNN-Mamba by Xiujuan WEI, Xingye LIU, Huailai ZHOU

“…This network was applied to field seismic data. An image-based local similarity analysis reveals that the network yielded low local similarity, further corroborating that it causes minimal damage to effective signals and exhibits superior amplitude preservation. …”
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Comparison of safety of lecanemab and aducanumab: a real-world disproportionality analysis using the FDA adverse event reporting system by Lingti Kong, Lingti Kong, Lingti Kong, Xiaohu Yang, Xiaohu Yang, Jian Xu, Jian Xu

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