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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Enhancing task execution: a dual-layer approach with multi-queue adaptive priority scheduling by Mansoor Iqbal, Muhammad Umar Shafiq, Shouzab Khan, Obaidullah, Saad Alahmari, Zahid Ullah

“…Efficient task execution is critical to optimize the usage of computing resources in process scheduling. Various task scheduling algorithms ensure optimized and efficient use of computing resources. …”
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MDMU-Net: 3D multi-dimensional decoupled multi-scale U-Net for pancreatic cancer segmentation by Lian Lu, Miao Wu, Gan Sen, Fei Ren, Tao Hu

“…While maintaining clinically viable precision, the model significantly improves computational efficiency, with parameter count (26.97M) and FLOPs (84.837G) reduced by 65.5% and 71%, respectively, compared to UNETR, providing reliable algorithmic support for precise diagnosis and treatment of pancreatic cancer.…”
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A semi-mechanistic mathematical framework for simulating multi-hormone dynamics in reproductive endocrinology by Alexandre Vallée, Anis Feki, Gaby Moawad, Jean-Marc Ayoubi

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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

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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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An Experimental Study on the Compressibility of Clays Reinforced with Basalt Fiber by Yasemin Aslan Topçuoğlu, Zülfü Gürocak

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

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

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

“…The model consists of two stages, wherein the first stage, a neural network, is used to retrieve the data’s nonlinear features through embedding vectors. These vectors are concatenated together and fed as input to the second stage of the model. …”
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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

“…The proposed vision‐transformer‐assisted network (FaultVitNet) exploits a hybrid attention mechanism for feature extraction, enabling the network to capture the global distribution information of faults. …”
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