Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

“…These methods use a set of three technologies of Industry 4.0, namely Artificial Intelligence (AI), Digital Twin (DT), and Wi-Fi-based indoor localization. The combination tackles the problem of asset tracking through Wi-Fi localization using machine-learning algorithms. …”
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Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

“…The study proposes a novel method for reconstructing missing regions in depth maps, aimed at improving the accuracy of autonomous navigation in agricultural robotic systems. (Research purpose) The primary objective is to develop a method capable of compensating for data loss in depth maps, thereby improving the performance of Simultaneous Localization and Mapping (SLAM) systems. …”
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THE INVERSE GAUSSIAN PLUME METHOD FOR ESTIMATING THE LEVEL OF AIR POLLUTION by Volodymyr Hura, Liubomyr Monastyrskyi

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A Biologically Inspired Trust Model for Open Multi-Agent Systems That Is Resilient to Rapid Performance Fluctuations by Zoi Lygizou, Dimitris Kalles

“…Finally, several key directions for future research are proposed.…”
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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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BDCOA: Wavefront Aberration Compensation Using Improved Swarm Intelligence for FSO Communication by Suhas Shankarnahalli Krishnegowda, Arvind Kumar Ganesh, Parameshachari Bidare Divakarachari, Veena Yadav Shankarappa, Nijaguna Gollara Siddappa

“…In order to address this issue, a Sensor-Less Adaptive Optics (SLAO) system is developed for FSO to enhance performance. In this research, the compensation of WA in SLAO is obtained by proposing the Brownian motion and Directional mutation scheme-based Coati Optimization Algorithm, BDCOA. …”
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Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal by Mohd Wajid, Arun Kumar, Rajendar Bahl

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Issues of Regulating Economic Agents Behavior in Territorial Development Management by M. M. Nizamutdinov, V. V. Oreshnikov

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Modelling of compositional gradient for reservoir fluid in a gas condensate deposit with account for scattered liquid hydrocarbons by Ekaterina V. Kusochkova, Ilya M. Indrupskii, Dmitrii V. Surnachev, Yuliya V. Alekseeva, Aleksandr N. Drozdov

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An improved MP-NMO correction method based on multiparameter fitting and its application by Xiaohui YANG, Pengfei YU, Jiawei ZHANG

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Uterine hydatidosis: casuistry is possible by A. L. Tikhomirov, V. V. Kazenashev, A. A. Dubinin, R. R. Sadikova, M. V. Maminova, J. S. Globa, A. V. Bukharov

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Method of joint wavelet thresholding and F-NLM de-noising for high-resolution SAR ship detection by Liang TONG, Dan LIU, Zhongbo PENG, Han ZOU, Lumeng WANG, Chunyu ZHANG

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Palette-based image recoloring based on moving least squares(基于移动最小二乘的图像重着色) by 周家伟(ZHOU Jiawei), 黄子康(HUANG Zikang), 彭俊豪(PENG Junhao), 李盛善(LI Shengshan), 刘晓静(LIU Xiaojing), 杜正君(DU Zhengjun)

“…Addressing this issue, this paper introduces a novel image recoloring algorithm based on moving least squares, significantly enhancing the locality and precision of color editing. …”
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Future Low-Cost Urban Air Quality Monitoring Networks: Insights from the EU’s AirHeritage Project by Saverio De Vito, Antonio Del Giudice, Gerardo D’Elia, Elena Esposito, Grazia Fattoruso, Sergio Ferlito, Fabrizio Formisano, Giuseppe Loffredo, Ettore Massera, Paolo D’Auria, Girolamo Di Francia

“…Similar research or operative projects have been implemented in the recent past, often focusing on a limited set of the involved challenges. …”
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Principles of physical factor selection in the early postoperative period of breast cancer treatment: a randomized controlled study by Inna S. Evstigneeva

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Experimental study on solution possibilities of multiextremal optimization problems through heuristic methods by Rudolf A. Neydorf, Ivan V. Chernogorov, Orkhan Takhir Yarakhmedov, Victor V. Polyakh

“…While it is necessary to use proper specific approaches to solving the local extremum detection and identification problem in each of the heuristic algorithms, they all require data clustering. …”
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Using Artificial Intelligence Techniques For Intrusion Detection System by Manar Ahmed, Bayda Khaleel

“…The performance of the proposed approach FCPN is the best if it is compared with the other approaches that are used and with previous works. Finally, in this research comparisons are made between the results obtained from the application of these algorithms on this dataset and the FCPN is the best approach that is implemented into Laptop where, CPU 2.27GH and RAM are 2.00 GB.…”
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Computational Analysis of Parallel Techniques for Nonlinear Biomedical Engineering Problems by Mudassir Shams, Bruno Carpentieri

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Simulation and Optimization of Multi-Phase Terminal Trajectory for Three-Dimensional Anti-Ship Missiles Based on Hybrid MOPSO by Jiandong Sun, Shixun You, Di Hua, Zhiwei Xu, Peiyao Wang, Zihang Yang

“…To overcome these challenges, this research introduces a three-dimensional (3D) multi-stage trajectory optimization approach based on the hybrid multi-objective particle swarm optimization algorithm (MOPSO-h). …”
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Adaptive Grid Generation by Solving One-Dimensional Diffusion Equation Using Physics-Informed Neural Networks by Olzhas Turar, Maksat Mustafin, Darkhan Akhmed-Zaki

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