Classification of power quality disturbances in microgrids using a multi-level global convolutional neural network and SDTransformer approach. by Junzhuo Jiang, Hao Wu, Changhua Zhong, Hong Song

“…As the adoption of new energy sources like photovoltaic and wind power increases alongside the influx of advanced power electronic devices, there has been a significant rise in power quality disturbance events (PQDs) within power systems. …”
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Scientific School of Accounting and Audit at the State University of Management (SUM) by T. M. Rogulenko

“…It employs comparative and analytical methods, analyzing historical literature, normative legal acts, and relevant sources. Based on the historical development of engineering and economic education, the author concludes that modern conditions require utilizing the State University of Management’s historical experience. …”
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Renewable Energy Development in Funafuti: Photovoltaic System Design and Economic Performance by Zhuang Yuan

“…The study utilizes HelioScope for PV system design and HOMER Pro for system integration and economic analysis. …”
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Probabilistic Load Flow of an Islanded Microgrid with WTGS and PV Uncertainties Containing Electric Vehicle Charging Loads by Neeraj Gupta, B. Rajanarayan Prusty

“…Comparing the proposed GQPLF method with the benchmark method validates its efficacy and efficiency.…”
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Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration by Pouya Taghipour, Eric Granger, Yves Blaquiere

“…Indeed, modeling HLS-related problems using GNNs that efficiently capture the complex patterns arising from applied pragmas and low-level characteristics of HLS specifications is challenging. …”
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The Impact of Meteorological Data on the Accuracy of Solar Electricity Generation Forecasting Using Neural Networks by Yuriy Sayenko, Ryszard Pawelek, Tetiana Baranenko, Vadym Liubartsev

“…This indicator can be used in the development of mathematical models and methods to increase the energy efficiency of power systems utilizing renewable energy sources, particularly to enhance the accuracy of power generation forecasting processes using neural networks and machine learning. …”
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Towards sustainable water resources: A critical review of evaluating traditional and solar-based desalination technologies and innovations by Subodh Kumar Jha, Aritra Ghosh

“…Thermal technologies like Multi-Stage Flashing (MSF) and Multi-Effect Distillation (MED) are also utilized but are usually more energy-intensive. The integration of renewable energy sources, including solar, has improved sustainability, with hybrid solar desalination systems minimizing the energy intake by up to 30 %. …”
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Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum by Mohammed Maray

“…The purpose of the IDLTHAR-PDST technique is to efficiently recognize and interpret activities by leveraging sensor technology within a smart IoT-Edge-Cloud continuum. …”
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Biological protection of plants in agricultular landscape—state of the art, problems and ways of their decision by Sokolov M S, Kolombet L V

“…</list-item> </list>Thus, ecologically safe agrolandscape is characterized by a genetic diversity and homeostatic equilibrium of the species, ecological plasticity and potential efficiency of dominant producers. Only under such condition the agrolandscape would provide the growing of optimum quantity of profitable and ecologically safe bioproducts.…”
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Automated Tree Detection Using Image Processing and Multisource Data by Grzegorz Dziczkowski, Barbara Probierz, Przemysław Juszczuk, Piotr Stefański, Tomasz Jach, Szymon Głowania, Jan Kozak

“…The proposed approach utilizes satellite imagery and height maps, employing image-processing techniques and integrating data from various sources. …”
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A comprehensive review on natural convection in various shaped enclosures by FEM: Engineering applications by Asif Hasan, Mohammad Mokaddes Ali, Shakhawat Hossain, Neamul Haque Siam, Asaduzzaman Rony, Al-Amin Shohan

“…The findings underscore FEM’s utility as a multi-physics simulation tool for real-world thermal challenges, with particular relevance to South Africa’s growing demand for energy-efficient buildings, renewable energy solutions, and sustainable manufacturing technologies.…”
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Personalized-Template-Guided Intelligent Evolutionary Algorithm by Dongni Hu, Xuming Han, Minghan Gao, Yali Chu, Ting Zhou

“…Existing heuristic algorithms are based on inspiration sources and have not yet done a good job of basing themselves on optimization principles to minimize and utilize historical information, which may lead to low efficiency, accuracy, and stability of the algorithm. …”
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Phenotypic Profiling of Selected Cellulolytic Strains to Develop a Crop Residue-Decomposing Bacterial Consortium by Arman Shamshitov, Egidija Satkevičiūtė, Francesca Decorosi, Carlo Viti, Skaidrė Supronienė

“…Results revealed that, beyond the core subset of 12 carbon sources, the strains exhibited diverse metabolic capacities in utilizing 106 carbon sources. …”
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Empirical Investigation Study of Impeller Wind Turbine by A. M. Ahmed Alwaise, Mohamed A. Alrashedi, Raqeeb H. Rajab

“…The wind turbine described in this article utilizes the wind's energy more efficiently and only depends on the vanes' active surface. …”
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The Capacity Configuration of a Cascade Small Hydropower-Pumped Storage–Wind–PV Complementary System by Bin Li, Shaodong Lu, Jianing Zhao, Peijie Li

“…Distributed renewable energy sources with significant output fluctuations can negatively impact the power grid stability when it is connected to the power grid. …”
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Feasibility of Grid Flexibility Provision Using Heat Pump Water Heaters Under Midnight Power Services: A Case of South Korea by Du-Na Kim, Jin-Wook Lee, Sung-Yong Son

“…Sector coupling (SC) has recently emerged as a solution to alleviate the curtailment caused by surplus power from variable renewable energy sources. Power-to-heat (P2H) is considered an economically viable SC approach that utilizes commercially available technologies. …”
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Multi-UAV Collaborative Target Search Method in Unknown Dynamic Environment by Liyuan Yang, Yongping Hao, Jiulong Xu, Meixuan Li

“…To address this issue, we present the distributed adaptive real-time planning search (DAPSO) technique, which enhances the search efficiency for dynamic targets in uncertain mission situations. …”
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Exploring the Strategies of Male Sterility for Hybrid Development in Hexaploid Wheat: Prevailing Methods and Potential Approaches by Muhammad Abdullah, Usama Sheraz, Arisha Tul Ain, Bisma Nasir, Sardar Hammad, Sajid Shokat

“…In this review, we examine the advantages and limitations of different male sterility sources utilized to date including, chemical hybridizing agents (CHAs), cytoplasmic male sterility (CMS), nuclear genic male sterility (NGMS), and environmental-sensitive male sterility (ESMS). …”
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Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images by Dylan Russon, Antoine Guennec, Juan Naredo-Turrado, Binbin Xu, Cédric Boussuge, Valérie Battaglia, Benoit Hiron, Emmanuel Lagarde

“…This study proposes the deployment of advanced deep learning neural networks to automate the assessment of pedestrian crossings and roundabouts, leveraging aerial and street-level imagery sourced from Google Maps and Google Street View. Utilizing ConvNextV2, ResNet50, and ResNext50 models, we conducted a comprehensive analysis of pedestrian crossings across various urban and rural settings in France, focusing on nine identified risk factors.Our methodology incorporates Mask R-CNN for precise segmentation and detection of zebra crossings and roundabouts, overcoming traditional data annotation challenges and extending coverage to underrepresented areas. …”
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Sedimentary Environment Reconstruction and Organic Matter Enrichment Mechanisms in Various Lithofacies of the Lacustrine Shale: A Case Study of the Da’anzhai Member, Central Sichua... by Yuting Peng, Yingxiao Fu, Senran Chen, Enze Wang

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