Underwater Target 3D Reconstruction via Integrated Laser Triangulation and Multispectral Photometric Stereo by Yang Yang, Yimei Liu, Eric Rigall, Yifan Yin, Shu Zhang, Junyu Dong

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AIBPO: Combine the Intrinsic Reward and Auxiliary Task for 3D Strategy Game by Huale Li, Rui Cao, Xuan Wang, Xiaohan Hou, Tao Qian, Fengwei Jia, Jiajia Zhang, Shuhan Qi

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Financial Management of Innovative Activity by V. P. Shestak, E. I. Moreva, I. G. Tyutyunnik

“…This allows to create a control algorithm to maximize the effectiveness. The methods of computational diagnostics and tomographic economics are used for the element-by-element analysis of the subsystems of the innovation system. …”
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Low latency Montgomery multiplier for cryptographic applications by khalid javeed, Muhammad Huzaifa, Safiullah Khan, Atif Raza Jafri

“…Many interesting and novel optimization strategies are adopted in the proposed design. …”
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Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

“…To improve the matching accuracy of prior frames, the k-means++ clustering algorithm is employed to optimize the prior frame parameters. …”
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Detection Model for Cotton Picker Fire Recognition Based on Lightweight Improved YOLOv11 by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song, Yi Wu

“…In response to the limited research on fire detection in cotton pickers and the issue of low detection accuracy in visual inspection, this paper proposes a computer vision-based detection method. The method is optimized according to the structural characteristics of cotton pickers, and a lightweight improved YOLOv11 algorithm is designed for cotton fire detection in cotton pickers. …”
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Fault Diagnosis and Prognosis With Inferential Sensors: A Hybrid Approach Integrating Symbolic Regression and Information Theory by Efi Safikou, Krishna R. Pattipati, George M. Bollas

“…We propose a fault diagnosis approach that integrates symbolic regression and information theory to optimize inferential sensors, which, along with traditional detection techniques and hard sensors, contribute to a comprehensive fault detection and diagnosis algorithm. …”
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Many-to-Many Multicast Routing Schemes under a Fixed Topology by Wei Ding, Hongfa Wang, Xuerui Wei

“…This paper uses the dynamic programming method to devise an exact algorithm, respectively, for the centralized and decentralized versions of each optimization problem.…”
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An online tool based on the Internet of Things and intelligent blockchain technology for data privacy and security in rural and agricultural development by Krishnaprasath Vellimalaipattinam Thiruvenkatasamy, Hayder M. A. Ghanimi, Sudhakar Sengan, Meshal Ghalib Alharbi

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Artificial intelligence-empowered functional design of semi-transparent optoelectronic and photonic devices via deep Q-learning by Caglar Cetinkaya, Erman Cokduygulular, Muhammed Yusuf Aykut, Okan Erkal, Fatma Aydogmus, Baris Kinaci

“…The deep Q-learning framework accelerates optimization processes, reduces computational demands, and enables scalable solutions, surpassing traditional methods in efficiency and precision. …”
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M-folding method–based elliptic curve cryptosystem for industrial cyber-physical system by Taehoon Do, Seungwoo Park, Jaehwan Lee, Sangoh Park

“…This study applies the m-folding method to the highly secure elliptic curve algorithm to improve efficiency and proposes the cryptosystem optimized for the resource-constrained industrial cyber-physical system. …”
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A robust resilient-oriented design for the cyber-physical distribution system against sequential typhoons by Shimei Li, Zhanghao Huang, Jinman Luo, Jianyong Zhan, Liyuan Liu, Die Cong, Xiaoxia Li, Yunan Lin, Ling Yu, Yu Nie, Wenlong Chen, Keng-Weng Lao

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Exploration Enhanced RPSO for Collaborative Multitarget Searching of Robotic Swarms by Jian Yang, Ruilin Xiong, Xinhao Xiang, Yuhui Shi

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FPGA Acceleration With Hessian-Based Comprehensive Intra-Layer Mixed-Precision Quantization for Transformer Models by Woohong Byun, Jongseok Woo, Saibal Mukhopadhyay

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An Approach to Finding a Robust Deep Learning Model by Alexey Boldyrev, Fedor Ratnikov, Andrey Shevelev

“…To this end, we study small models composed of a few convolutional and fully connected layers, using common optimizers because of their ease of interpretation and computational efficiency. …”
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ZERO-DEFECT ITEM MACHINING by O.A. POLUSHKIN

“…Also here is proposed the computer- optimized algorithm for calculation of the mentioned above values, and a sample of its practical use.…”
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UFSRAT: Ultra-fast Shape Recognition with Atom Types--the discovery of novel bioactive small molecular scaffolds for FKBP12 and 11βHSD1. by Steven Shave, Elizabeth A Blackburn, Jillian Adie, Douglas R Houston, Manfred Auer, Scott P Webster, Paul Taylor, Malcolm D Walkinshaw

“…<h4>Results</h4>Computational optimization and pre-calculation of molecular descriptors enables a query molecule to be run against a database containing 3.8 million molecules and results returned in under 10 seconds on modest hardware. …”
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RIM-Net: A Real-Imaginary-Magnitude Network for NLOS/LOS Identification in UWB Indoor Positioning Systems by Jiacheng Ni, Fang Li, Shuai Cao, Linsong Li

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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…Subsequently, the Sparrow Optimization Algorithm (SSA) is applied to optimize the hyperparameters of the ResNet50 model, which is trained on DGA data as the teacher model. …”
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Physical Information Neural Network-Based Seepage Behavior Analysis of Earth and Rock Dams by XUE binghan, HUANG zhenhua, LEI Jianwei, FANG Hongyuan

“…Moreover, maximum relative deviations at other characteristic free-surface locations remain below 3%, demonstrating the algorithm's high precision throughout the computational domain. …”
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