Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams by Ikenna Ekeke, Carlos Francisco Moreno-García, Eyad Elyan

“…This paper presents a deep learning framework that integrates an attention mechanism for symbol recognition, followed by a graph-based algorithm for fully automated wiring design. …”
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Dual Antiplatelet Therapy Regimens and Duration for Intracranial Stenting Procedures: Literature Review by Milda Paliulytė, Gytis Šustickas

“…We found widespread variation in practices even among the same country centres, lending credence to the importance of a future prospective studies of dual antiplatelet drug therapy (DAPT) regimens and duration for the purpose of deriving optimal methods and streamlining tactics. Our suggested algorithm for DAPT in neuro-interventional procedures in Lithuania is provided in Graph 1. …”
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Redundant Path Optimization in Smart Ship Software-Defined Networking and Time-Sensitive Networking Networks: An Improved Double-Dueling-Deep-Q-Networks-Based Approach by Yanli Xu, Songtao He, Zirui Zhou, Jingxin Xu

“…Central to this framework is the introduction of a redundant multipath selection algorithm, which leverages Double Dueling Deep Q-Networks (D3QNs) in conjunction with Graph Convolutional Networks (GCNs). …”
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Towards Supporting Exploratory Search over the Arabic Web Content: The Case of ArabXplore by Al-Agha Iyad, Abed Ahmed

“…Entities are then filtered and ranked by using a novel ranking algorithm that extends the conventional PageRank algorithm. …”
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Perbandingan Aplikasi Algoritma Kernel K-Means pada Graf Bipartit dan K-Means pada Matriks Dokumen- Istilah dalam Dataset Penelitian Covid-19 RISTEKBRIN by Budi Nugroho

“…Ristekbrin's Covid-19 research dataset is modeled as a bipartite graph between terms and documents. …”
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Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson’s Disease by Noore Zahra

“…Since the last two decades, automated methods for monitoring motor activities, their data analysis, and algorithm techniques have been subjects of research for Parkinson’s disease (PD). …”
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Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

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Visual Exploration of Literature Using Connected Papers: A Practical Approach by Prashanta Kumar Behera, Sanmati Jinendran Jain, Ashok Kumar

“…Connected Papers searches through Semantic Scholar literature corpus and discovers the most relevant related research papers using a specialized algorithm. The researcher will have to identify the most relevant paper as an "origin paper" among the retrieved papers. …”
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Fog Service Placement Optimization: A Survey of State-of-the-Art Strategies and Techniques by Hemant Kumar Apat, Veena Goswami, Bibhudatta Sahoo, Rabindra K. Barik, Manob Jyoti Saikia

“…To solve this problem, various authors proposed different algorithms like the randomized algorithm, heuristic algorithm, meta heuristic algorithm, machine learning algorithm, and graph-based algorithm for finding the optimal placement. …”
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QUALITATIVE MODELING OF ECOLOGICAL TOURISM DEVELOPMENT IN ThE ALTAI REPUBLIC by D. S. Khazova

“…The eco-tourism development in the Altai Republic is an up-to-date task since the formation of the tourist sector will boost the whole regional economy of the Altai Republic, provide significant social and economic benefits not only at the regional but also at the nation-wide level, allow partial solution of the problem of uneven distribution of economic resources and the manpower in Russia without upsetting the balance between the environment and the economic reproduction. This research work includes methods of qualitative modeling as well as elements of the graph theory and the cluster analysis. …”
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Cooperative integration of spatially resolved multi-omics data with COSMOS by Yuansheng Zhou, Xue Xiao, Lei Dong, Chen Tang, Guanghua Xiao, Lin Xu

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Real-Time Analysis of Basketball Sports Data Based on Deep Learning by Peng Yao

“…The second part is the analysis and research of the action recognition algorithm based on the convolution of the space-time graph. …”
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Terminal Satisfiability in GSTE by Yongsheng Xu, Guowu Yang, Zhengwei Chang, Desheng Zheng, Wensheng Guo

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Minimization Electric Losses in Transistor DC Drives by Kovalov V., Kovalova Yu.

“…An algorithm was proposed for determining the optimal switching frequency of the PWM: 1) on computer models of the DC motor and PWM, the dependences of dynamic electrical losses on the switching frequency were determined; 2) the graph was built showing the dependence of the total dynamic electric losses, on which the point was determined of minimum losses, which corresponds to the optimal value of the switching frequency. …”
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AI powered detection and assessment of onychomycosis: A spotlight on yellow and deep learning by C. Agostini, R. Ranjan, M. Molnarova, A. Hadzic, O. Kubesch, V. Schnidar, H. Schnidar

“…Additionally, an analysis of nail growth was performed, and a comparison graph with the percentage of infection was estimated. …”
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Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data by Maximilian Malek, Christoph W. Sensen

“…Our framework enables real-time, intuition-guided accelerated algorithm and method development, supported by built-in scriptable visualization. …”
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Pathway metrics accurately stratify T cells to their cells states by Dani Livne, Sol Efroni

“…PathSingle employs a unique graph-based algorithm to enable the classification of diverse cellular states, such as T cell subtypes. …”
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Time–frequency ensemble network for wind turbine mechanical fault diagnosis by Haiyu Guo, Xingzheng Guo, Xiaoguang Zhang, Fanfan Lu, Chuang Liang

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Method for designing specialized computing systems based on hardware and software co-optimization by I. Е. Tarasov, P. N. Sovietov, D. V. Lulyava, D. I. Mirzoyan

“…Approaches to the analysis of computational problems involving the construction of a computational graph abstracted from the computing platform, but limited by a set of architectural solutions, are considered. …”
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Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology by Adonay S. Nunes, Matthew R. Patterson, Dawid Gerstel, Sheraz Khan, Christine C. Guo, Ali Neishabouri

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