A Concept for Network Slicing in Wireless Mesh Networks by Alexander Seng, Ulrich Trick, Armin Lehmann, Bogdan Ghita

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Faulted Line Segment Location Method for Low-Voltage Distribution Network Based on Adjacency Matrix by Yongfeng YAO, Qizhe WANG, Huiping WANG, Jia JIA, Xibin XIA

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Spatio-Temporal Joint Planning for Integrated Energy Systems with Internet Data Center Considering Privacy Preservation by WU Chengbang, CHENG Zhijiang, LU Haifeng, YANG Handi

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Using Artificial Intelligence Tools to Analyze Particulate Matter Data (PM_2.5) by Miriam Gómez Marín, Henry O. Sarmiento-Maldonado, Alba Nelly Ardila Arias, William Alonso Giraldo Aristizábal, Rubén Darío Vásquez-Salazar

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Interactive Viral Marketing Through Big Data Analytics, Influencer Networks, AI Integration, and Ethical Dimensions by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Christos Klavdianos

“…By integrating foundational concepts from social network theory, advanced graph models, and behavioral dynamics, the paper demonstrates how the interplay between network structures, influencer behaviors, and AI-driven algorithms significantly redefines traditional marketing paradigms. …”
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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

“…These features are fused with structural representations derived from RNA secondary structure graphs. The graphs are processed using a graph neural network with DiffPool. …”
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Recent Developments in Path Planning for Unmanned Ground Vehicles in Underground Mining Environment by Abdurauf Abdukodirov, Jörg Benndorf

“…This review examines both global and local path-planning techniques, encompassing traditional graph-based methods, sampling-based approaches, nature-inspired algorithms, and reinforcement learning strategies. …”
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Navigating Intelligence: A Survey of Google OR‐Tools and Machine Learning for Global Path Planning in Autonomous Vehicles by Alexandre Benoit, Pedram Asef

“…We delve into an extensive comparison and analysis of Google operations research (OR)‐Tools optimization algorithms. Our study is driven by the goal of applying and testing the limits of OR‐Tools capabilities by integrating Reinforcement Learning techniques for the first time. …”
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Economic Dispatch with Transmission Losses in a Distributed Generation Network of Bahawalpur by Khan Ahmad, Rashid Zeeshan, Umer Farhana, Yousaf Abdur Rehman, Saeed Arif

“…A MATLAB algorithm is designed which gives optimum division of power between two power plants and their transmission losses. …”
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A survey on autonomous navigation for mobile robots: From traditional techniques to deep learning and large language models by Abderrahim Waga, Said Benhlima, Ali Bekri, Jawad Abdouni, Fatima Zahrae Saber

“…The review extends to modern metaheuristic algorithms, including genetic algorithms (GA), particle swarm optimization (PSO), and ant colony optimization (ACO). …”
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Multi-criteria path rationalization in the conditions of multi-type passenger transport systems by V. V. Egorov

“…The author carried out the research by means of mathematical modeling of the transport system in the form of its deterministic graph model. …”
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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

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Linkage and Connectivity Control in Wireless Sensor Network: A New Mechanism by Pouya Derakhshan-Barjoei, Ahmad Yousofi

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From observed transitions to hidden paths in Markov networks by Alexander M. Maier, Udo Seifert, Jann van der Meer

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Optical quantum sensing for agnostic environments via deep learning by Zeqiao Zhou, Yuxuan Du, Xu-Fei Yin, Shanshan Zhao, Xinmei Tian, Dacheng Tao

“…DQS incorporates two essential components: a graph neural network (GNN) predictor and a trigonometric interpolation algorithm. …”
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Small-coupling dynamic cavity: A Bayesian mean-field framework for epidemic inference by Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Matteo Mariani, Fabio Mazza, Mattia Tarabolo

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A Scale‐Adaptive Urban Hydrologic Framework: Incorporating Network‐Level Storm Drainage Pipes Representation by Taher Chegini, Hong‐Yi Li, Y. C. Ethan Yang, Günter Blöschl, L. Ruby Leung

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Developing Financial Forecast Modeling With Deep Learning On Silver/Ons Parity by Adem Üntez, Mümtaz İpek

“…It should not be forgotten that these algorithms are dynamic and can give different results in predictions even when they are run with the same data.According to the results obtained in the research, although the LSTM architecture clearly stated the daily closing values as numbers, the estimation study made with the ARIMA architecture produced a result closer to the graph in terms of both interval and direction.…”
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An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Figure (10) shows the correspondence of the neural network model for the testing samples and their associated locations for the actual samples (left graph) and the training samples (right graph).  There is a very high correspondence between the left graph (real localities) and the right graph (estimated localities). …”
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Literature review for the topic of automation of scheduling classes and exams in higher education institutions by Wadhah M Al-Gabri

“…In connection with the expansion of the individualization of the learning process in the Russian educational system, the improvement of the research methods and algorithms relevance for constructing exams schedule is expected.…”
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