Innovative two-stage thermal control of DC-DC converter for hybrid PV-battery system by Rasool M. Imran, Kadhim Hamzah Chalok, Siraj A. M. Nasrallah

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Cultural Moduses of Students and Their Influence on the Formation of Life Plans by M. A. Golovchin

“…In total, the study examines four modes (K, CI, IC, I), which describe various manifestations in the public consciousness of power distance, gender model of decision making, priority of interests, attitude to uncertainty, as well as the short-term mobilization of vital resources. We proposed an algorithm for studying cultural moduses within the framework of sociological research, for testing of which we used a subset of data from the project of the Russian Society of Sociologists “Cultural Heritage and the Connection of Generations” (2022).The study found that modern students have different cultural moduses. …”
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Ship task safety analysis based on subjective and objective fusion functional resonance by Mingjing WANG, Xiaoer HE, Chen JIANG, Haobo QIU, Liang GAO

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Use of Sentinel-2 optical imagery for the reconstruction of coastal bathymetry: a case study in Mozambique by Francesco Varni, Bianca Federici, Alfonso Quarati, Michele Bolla Pittaluga, Monica De Martino

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Real-time and Cost-efficient Indoor Localization and Mapping Solution for Emergency Response Applications by H. Elsayed, A. Shaker

“…The resulting maps are continuously being optimized using a loop-closing algorithm to reduce drift and maintain the trajectory integrity. …”
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System for digital character recognition, extraction and structuring of medical data with the formation of a cloud-based electronic health records by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, A. A. Kobak

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Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks by Zhi Wu, Xiao Du, Wei Gu, Yafei Liu, Ping Ling, Jinsong Liu, Chen Fang

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Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models by Ayoob Almotairi, Samer Atawneh, Osama A. Khashan, Nour M. Khafajah

“…This approach comprises two core components: the utilization of the K-Best algorithm for feature selection, extracting the top 15 critical features and the construction of an ensemble model incorporating various traditional machine learning models. …”
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Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks by Badeea Al Sukhni, Soumya K. Manna, Jugal M. Dave, Leishi Zhang

“…The rapid integration of Internet of Things (IoT) systems in various sectors has escalated security risks due to sophisticated multilayer attacks that compromise multiple security layers and lead to significant data loss, personal information theft, financial losses etc. Existing research on multilayer IoT attacks exhibits gaps in real-world applicability, due to reliance on outdated datasets with a limited focus on adaptive, dynamic approaches to address multilayer vulnerabilities. …”
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Energy Optimisation in Aquaponics—Integrating Renewable Source and Water as Energy Buffer for Sustainable Food Production by Abdul Aziz Channa, Kamran Munir, Mark Hansen, Muhammad Fahim Tariq

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Review of Agricultural Machinery Seat Semi-Active Suspension Systems for Ride Comfort by Xiaoliang Chen, Zhelu Wang, Haoyou Shi, Nannan Jiang, Sixia Zhao, Yiqing Qiu, Qing Liu

“…Furthermore, key technical challenges in current research are summarized, including dynamic characteristic optimization design, adaptability to complex operating environments, and the robustness of control algorithms. …”
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Multi-Inverter Synchronization and Dynamic Power Allocation via Distributed Communication for PV Station Rapid Power Control to Enhance Power System Stability by Mingkang Wu, Min Cheng, Jiawei Yu, Yayao Zhang, Yuanfu Zhu, Yihua Zhu

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Blockchain Integration in Agriculture for Transparent Farm-to-Fork Supply Chains: Leveraging IoT and Decentralized Identity for Enhanced Traceability and Security by Soy Aakansha, Balkrishna Sutar Manisha

“…The main agricultural research problem addressed by this study involves the supply chain transparency inadequacies and operational inefficiencies that stem from data verification problems and trust issues as well as real-time monitoring limitations. …”
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Nano-second pulsed laser ablation of inconel 718 and MMPCD for simultaneous optimal ablation rate and surface quality by Ahmed Elkaseer, Islam H. Abdelgaliel, Jon Lambarri, Iban Quintana, Steffen Scholz, Mohamed F. Aly

“…Four multi-objective optimization algorithms, weighted value grey wolf optimizer (WVGWO), multi-objective Pareto search (MOPS), multi-objective genetic algorithm (MOGA), and multi-objective sunflower optimization (MOSFO), were employed to optimize these models. …”
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Analysis of macroeconomic factors influencing on local passenger traffic volume by S. V. Muktepavel

“…Therefore calculations and choice of influence factors/combinations/groups of factors were made to each railway individually. Algorithm and results of calculations is given in the article. …”
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On the movement of atmospheric blocking systems and the associated temperature responses by J. van Mourik, J. van Mourik, J. van Mourik, H. de Vries, M. Baatsen

“…By combining a blocking index based on geopotential height with a Lagrangian tracking algorithm, we investigate the characteristics of atmospheric blocking events for different zonal velocities with respect to Earth's surface and their impacts on surface temperatures within the retuned EC-Earth3 global climate model. …”
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The impact of presentation modes on mental rotation processing: a comparative analysis of eye movements and performance by Philipp Stark, Efe Bozkir, Weronika Sójka, Markus Huff, Enkelejda Kasneci, Richard Göllner

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Deep learning method for cucumber disease detection in complex environments for new agricultural productivity by Jun Liu, Xuewei Wang, Qian Chen, Peng Yan, Xin Liu

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Revealing the Influence of Semantic Similarity on Survey Responses: A Synthetic Data Generation Approach by Esko Lehtonen, Tommi Buder-Grondahl, Sina Nordhoff

“…Questionnaires are essential for measuring self-reported attitudes, beliefs, and behaviour in many research fields. Semantic similarity of the questions is recognized as a source of covariance in the human data, implying that response patterns partly arise from the questionnaire itself. …”
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Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats by Egidijus Jurkus, Julius Taminskas, Ramūnas Povilanskas, Arvydas Urbis, Jovita Mėžinė, Domantas Urbis

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