Using N-Version Architectures for Railway Segmentation with Deep Neural Networks by Philipp Jaß, Carsten Thomas

“…Our results show that the N-version architecture not only enables a detection of erroneous predictions by utilizing those adjusted confidence values, but it can also partially improve the predictions by using the PMV combination algorithm. …”
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Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing by Feifan Zhu, Fei Huang, Yantao Yu, Guojin Liu, Tiancong Huang

“…The application of value decomposition algorithms for UAV trajectory planning has drawn considerable research attention. …”
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A POMDP Approach to Map Victims in Disaster Scenarios by Pedro Gabriel Villani, Paulo Sergio Cugnasca

“…Unlike other methods focused solely on minimizing mission time, this approach emphasizes high-risk zones and potential secondary disaster areas. Using a partially observable Markov decision process, it simulates victim detection through an image classification algorithm, enabling efficient and independent operation. …”
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Detection of Cyanuric Acid and Melamine in Infant Formula Powders by Mid-FTIR Spectroscopy and Multivariate Analysis by Edwin García-Miguel, Ofelia Gabriela Meza-Márquez, Guillermo Osorio-Revilla, Darío Iker Téllez-Medina, Cristian Jiménez-Martínez, Maribel Cornejo-Mazón, Diana Maylet Hernández-Martínez, Tzayhrí Gallardo-Velazquez

“…Chemometric models were constructed using the algorithms Partial Least Squares (PLS1, PLS2) and Principal Component Regression (PCR) in order to correlate the IR signal with the levels of melamine or cyanuric acid in the infant formula samples. …”
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The influence of pH and temperature on benthic chlorophyll-a: Insights from SHAP-XGBoost and random forest models by Sangar Khan, Noël P.D. Juvigny-Khenafou, Tatenda Dalu, Paul J. Milham, Yasir Hamid, Kamel Mohamed Eltohamy, Habib Ullah, Bahman Jabbarian Amiri, Hao Chen, Naicheng Wu

“…The SVR demonstrated that AT is vital for the upper and middle catchment reaches, while pH is more important in the lower reaches. In partial dependence plots, the chl–a concentration depended highly on pH and AT. …”
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CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

“…By analysing data from sensors and system logs, ML algorithms can identify patterns indicative of faults or inefficiencies, such as shading, soiling, or equipment malfunctions, often before they become serious issues. …”
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Task Offloading and Data Compression Collaboration Optimization for UAV Swarm-Enabled Mobile Edge Computing by Zhijuan Hu, Shuangyu Liu, Dongsheng Zhou, Chao Shen, Tingting Wang

“…To address this issue, we propose a UAV swarm-enabled MEC system that integrates data compression technology, in which the only swarm head UAV (USH) offloads the compressed computing tasks compressed by the UEs and partially distributes them to the swarm member UAV (USM) for collaborative processing. …”
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State Estimation for Measurement-Saturated Memristive Neural Networks with Missing Measurements and Mixed Time Delays Subject to Cyber-Attacks: A Non-Fragile Set-Membership Filteri... by Ziyang Wang, Peidong Wang, Jiasheng Wang, Peng Lou, Juan Li

“…Then, a recursive optimization algorithm is utilized to achieve optimal estimation performance. …”
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Combined influence of crushed brick powder and recycled concrete aggregate on the mechanical, durability and microstructural properties of eco-concrete: An experimental and machine... by Md. Habibur Rahman Sobuz, Mahmudur Hossain Khan, Md. Rakibul Islam, Md. Kawsarul Islam Kabbo, Abdullah Alzlfawi, M Jameel, Md. Munir Hayet Khan

“…To address these challenges and to promote sustainability and reduce waste, this study investigates the partial substitution of fine and coarse aggregates with crushed brick powder (CBP) and recycled concrete aggregate (RCA), respectively. …”
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Some Improvements on Good Lattice Point Sets by Yu-Xuan Lin, Tian-Yu Yan, Kai-Tai Fang

“…The corresponding GGLP sets are partially included in this paper and will be further calculated and posted online in the future. …”
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LittleFaceNet: A Small-Sized Face Recognition Method Based on RetinaFace and AdaFace by Zhengwei Ren, Xinyu Liu, Jing Xu, Yongsheng Zhang, Ming Fang

“…Traditional face recognition algorithms are typically static and rely heavily on clear images, resulting in inaccurate recognition for low-resolution, small-sized faces. …”
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Design of a fully autonomous oil sampling collection robot system for substation oil-filled equipment by Shaotong Pei, Haichao Sun, Weiqi Wang, Bing Xiao, Hengjiang Zhu, Mianxiao Wu, Bo Lan

“…Furthermore, this paper introduces a path planning algorithm based on Deep Attention Q-Network to address the issue of robot path planning in partially observable environments. …”
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Finding a New Balance Point: Intelligent Optimization of Multi-Target Cognitive Electronic Reconnaissance Strategy for Unmanned Aerial Vehicles by Yun Zhang, Shixun You, Yunbin Yan, Qiaofeng Ou, Xiang Zhu

“…Finally, a deep reinforcement learning framework based on partially observable Markov processes is built, while a modular scenario pre-training method is used to improve the convergence of the policy network in the case of sparsely distributed high-quality samples. …”
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Fast and Adaptive Multi-Agent Planning under Collaborative Temporal Logic Tasks via Poset Products by Zesen Liu, Meng Guo, Weimin Bao, Zhongkui Li

“…Instead, an adaptive planning algorithm is proposed, which computes the product of relaxed partially ordered sets (R-posets) on-the-fly and assigns these subtasks to the agents subject to the ordering constraints. …”
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Correction of Disturbances Influence on Results of Elongated Objects's Probe Microscopy Using Predictive Relief Estimates by P. V. Gulyaev

“…The purpose of this work was to develop an algorithm for locating the objects skeletons adapted to the images peculiarities in scanning probe microscopy and does not require significant computing resources. …”
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The Morphological Description Automation of the Optic Nerve Head Boundary in Digital Fundus Images by E. G. Tanaeva, R. G. Khafizov

“…The proposed method is based on integration algorithm of luminance samples along the diagonal. …”
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Multidimensional Electrical Networks and their Application to Exponential Speedups for Graph Problems by Jianqiang Li, Sebastian Zur

“…In this work, they generalised the exponential quantum-classical separation of the welded tree graph by Childs, Cleve, Deotto, Farhi, Gutmann, and Spielman [STOC '03] to random hierarchical graphs. Our result partially recovers their results with an arguably simpler analysis. …”
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“Making” Rural Elites: Empowerment of Chinese Rural “Public Affairs Live Streamers” on Short Video Platforms by Yayun Tong, Zhenghua Zhang, Yuxiao Wang

“…Empowered by the platform, these streamers effectively convert their cultural capital into online social capital, which may then be partially transformed into offline social influence and economic returns. …”
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Research on Integrated Control Strategy for Highway Merging Bottlenecks Based on Collaborative Multi-Agent Reinforcement Learning by Juan Du, Anshuang Yu, Hao Zhou, Qianli Jiang, Xueying Bai

“…An integrated control system based on the Factored Multi-Agent Centralized Policy Gradients (FACMAC) algorithm is developed. By transforming the control framework into a Decentralized Partially Observable Markov Decision Process (Dec-POMDP), state and action spaces for heterogeneous agents are designed. …”
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Innovative Hardware Accelerator Architecture for FPGA-Based General-Purpose RISC Microprocessors by Ehsan Ali

“…The proposed architecture employs the LLVM compiler infrastructure to translate an algorithm written in a high-level language (e.g., C/C++) to machine code. …”
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