Computerized Interactive Gaming via Supporting Vector Machines by Y. Jiang, J. Jiang, I. J. Palmer

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Rapid Bayesian Imaging of Large‐Scale Transient Electromagnetic Data Using Probabilistic Neural Networks by Jian Chen, Stefano Galli, Alessandro Signora, Nicole Anna Lidia Sullivan, Bo Zhang, Gianluca Fiandaca

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Mitigating the Impact of Labeling Inaccuracies on 3D Human Body Reconstruction from Monocular Videos by Yupeng Hou, Guangping Zeng

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Prediction of ultimate tensions in mooring lines for a floating offshore wind turbine considering extreme gusts by Xu Zhang, Haolang He, Hongbin Hao, Yong Ma

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An In-depth Analysis of Rendered Models using Blender : A Research Result by Oluwafunmilayo Raheem, Bourdillon Omijeh, Chinagorom Ibeachu

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Lightweight detection of cotton leaf diseases using StyleGAN2-ADA and decoupled focused self-attention by Henghui Mo, Linjing Wei

“…Post-pruning, the model’s parameters are reduced to 4.9 million (M), with a computational demand of 31.5 Giga Floating-Point Operations Per Second (GFLOPs), showing superior performance over existing models. …”
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CHDPL-Net: a lightweight network for Chinese herbal decoction pieces detection by Chuhe Lin, Zhijun Xie, Xing Jin, Hangjuan Lin, Renguang Shan

“…Additionally, a newly designed downsampling module, RDown, replaces conventional downsampling methods to reduce computational overhead, while the adopted upsampling module, DySample, significantly enhances the recovery of detailed features. …”
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A novel hybrid neural network of fluid-structure interaction prediction for two cylinders in tandem arrangement by Yanfang Lyu, Yunyang Zhang, Zhiqiang Gong, Xiao Kang, Wen Yao, Yongmao Pei

“…Deep learning has shown promise in improving computing efficiency while ensuring modelling accuracy in FSI analysis. …”
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An Experimental Study on the Compressibility of Clays Reinforced with Basalt Fiber by Yasemin Aslan Topçuoğlu, Zülfü Gürocak

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MSD-YOLO11n: an improved small target detection model for high precision UAV aerial imagery by Xin Zhang, Baoyang Du, Yaoxing Jia, Kairui Luo, Li Jiang

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Homogeneity Equation for the Effective Elastic Properties of Heterogenous Rocks Developed From Machine Learning by E. Maalouf, H. Kareem, H. Chebli

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Classification from Sky: A Robust Remote Sensing Time Series Image Classification Using Spatial Encoder and Multi-Fast Channel Attention by Kwabena Sarpong, Jehoiada Kofi Jackson, Derrick Effah, Daniel Addo, Sophyani Banaamwini Yussif, Mohammad Awrangjeb, Rutherford Agbeshi Patamia, Juliana Mantebea Danso, Zhiguang Qin

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Superconductivity and special symmetry of twisted tri-layer graphene in chiral model by Yuri P. Rybakov, Medina Umar

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Fluid Dynamics Exploration in Molten Salt Reactors: A Comprehensive Study of Draining Tank Using the Moving Particle Semi-Implicit Method by Yacobus Yulianto, Asril Pramutadi Andi Mustari, Muhammad Rizqie Arbie

“…Molten Salt Reactors (MSRs) represent a promising advancement in nuclear energy technology through the use of liquid fuels, offering inherent safety features and efficient thermal conversion. A critical safety mechanism in MSRs is the drain tank system, designed to passively remove molten salt fuel during emergency shutdowns. …”
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Transformer-based latency prediction for stream processing task by Zheng Chu, Baozhu Li, Changtian Ying

“…Abstract Latency prediction for stream processing tasks (SPTs) is a critical issue for stream computing, parameter tuning, load optimization, task scheduling, etc. …”
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FaultVitNet: A Vision Transformer Assisted Network for 3D Fault Segmentation by Chao Li, Sergey Fomel, Yangkang Chen, Robin Dommisse, Alexandros Savvaidis

“…With the rapid development of computational power, numerous deep learning (DL) based methods have been proposed for improved fault segmentation performance. …”
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Exploring the performance of LBP-capsule networks with K-Means routing on complex images by Patrick Mensah Kwabena, Benjamin Asubam Weyori, Ayidzoe Abra Mighty

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An online multi-camera multi-vehicle tracking using lightweight YOLO11 and improved association strategies by Feijiang Huang, Jialong Yao, Chengyue Su, Sheng Xu

“…For cross-camera trajectory association, a hierarchical clustering algorithm based on cosine distance and Dunn’s index automatically optimizes clustering parameters to enhance matching precision. Additionally, leveraging SCMVT results maintains trajectory ID stability, reducing ID switching by 52% and lowering computational overhead. …”
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Efficient and low complex architecture for detection and classification of Brain Tumor using RCNN with Two Channel CNN by Nivea Kesav, M.G. Jibukumar

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Handling data sparsity via item metadata embedding into deep collaborative recommender system by Gopal Behera, Neeta Nain

“…Deep learning is an advanced learning technique that has shown success in many applications such as image classification, computer vision, natural language processing, etc. …”
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